170+ Business Management Dissertation Topics 2026-27
November 14, 2020
160+ Best Environmental Sustainability Dissertation Topics
November 14, 2020
Economics dissertation topics for 2026-27 span macroeconomics, microeconomics, financial economics, economic geography, and labour economics, with the UK's AI Economics Institute (launched by HM Treasury in June 2026) and the sustained cost-of-living crisis, which left 39% of UK households struggling or in serious difficulty as of May 2025 (University of Bristol), driving the strongest current research demand.
Updated: June 2026 · For Academic Year 2026-27
Premier Dissertations is a UK-based academic support service founded in 2010, offering free economics dissertation topics reviewed and approved by active PhD researchers before publication. Our researchers have published in Scopus-indexed journals themselves, so they know what a supervisor is actually looking for in an economics research question. The service carries a 4.8 star verified rating, and every topic on this page is free to request, with no obligation attached.
Four in ten UK households, over 11 million, were struggling or in serious financial difficulty as of May 2025 (University of Bristol), and that pressure is reshaping what economics supervisors want to see in a dissertation this year. AI tools can generate a plausible-sounding economics topic in seconds, but they can't tell you whether that exact angle has already been published, or whether the data you'd need actually exists. We've been building researcher-crafted economics topics since 2010, checked against real, current sources rather than pattern-matched from old training data. If you'd rather skip the guesswork, we'll send you 3 free custom topics within 24 hours. Below, you'll find over 60 topics organised by subfield, a topic-selection framework, and direct answers to the questions students actually ask.
Explore This Page
Jump directly to economics dissertation ideas by category:
→ Where the Funding and Journals Are Pointing
→ Picking a Topic You Can Actually Get Data For
→ Topics Emerging From Current Academic Research
→ New Researcher-Crafted Topics for 2026-27
→ Macroeconomic Shocks and Household Wellbeing Topics
→ Regional Development and Macroeconomics Topics
→ Market Structure and Financial Systems Topics
→ Undergraduate Foundations Topics
→ Global and Comparative Economics Topics
→ Advanced Quantitative Topics
→ Methodology Guidance by Level
→ Direct Answers to Student Questions
Want more ideas? Explore our full dissertation topics library.
Where the Funding and Journals Are Pointing Right Now
The Economic Journal's call for papers on AI Measurement in Applied Economics closes 15 January 2026, and it's already reshaping what supervisors want to see. Students who can pair a labour market or productivity question with an AI-adoption angle are landing approvals faster than those sticking to older frameworks. If you're choosing a topic this year, this is worth building around.
Wang's 2026 paper in The Economic Journal on bank liquidity and interbank rate setting found that liquidity-constrained banks actually raise their lending rates when the central bank cuts the interbank rate. That's a strange, counterintuitive result, and it opens a clean gap: nobody has tested whether this holds differently across UK regions or bank types. A dissertation testing that heterogeneity with regional lending data would sit right at the edge of what's currently published.
Markiewicz and Silvestrini's work on turbulence and market power, also in The Economic Journal this year, shows rising market concentration is partly explained by turbulence dynamics rather than the usual competition-policy story. The authors don't fully address the welfare cost of this concentration. That's your opening if you want a microeconomics dissertation with genuine policy bite.
Away from the journals, the NIESR Research Strategy published in May 2026 puts UK productivity, public debt, and regional divides at the centre of its programme through 2029. Supervisors are actively looking for dissertations that engage with one of those three threads using recent ONS or Bank of England data rather than pre-2023 datasets.
And the Autumn Budget 2025 gives you a live natural experiment. Freezing personal tax thresholds until 2030/31 while raising dividend and property taxes creates measurable distributional effects you can actually test once enough post-Budget data accumulates. Worth flagging to your supervisor now if you want first claim on that angle.
Picking a Topic You Can Actually Get Data For
A good economics dissertation topic is the intersection of three things: your academic level, the data you can realistically access, and the time you have left. Use this matrix to sanity-check any idea before you commit.
Undergraduate: single sector/region/time period. Master's: causal methods (DiD, FE, IV). PhD: heterogeneous treatment effects, advanced identification.
Is it open (ONS, BoE, World Bank)? Safeguarded (UKDS registration)? Controlled (accredited researcher)? Build your topic around what you can get, not what you wish you could.
Eight weeks? Stick to secondary data and OLS. Six months? You can consider primary survey or more advanced panel methods. Be honest about what's feasible.
Top 10 Trending Topics — Editor's Choice 2026-27
Tests which UK household types have absorbed the sustained cost-of-living crisis best since 2023.
Gap: The Bristol Financial Wellbeing report found 39% of households struggling or in serious difficulty by May 2025, but little UK research breaks this down by household composition over time.
Methodology: Panel regression using household-level survey data, minimum 2,000 households.
Data source: UK Data Service, Understanding Society panel.
Source: University of Bristol, Financial Wellbeing of UK Households report, May 2025.
Examines whether AI adoption is widening or narrowing the UK's regional productivity gap.
Gap: The IMF's 2026 paper on AI-led productivity growth found halving regulatory constraints could lift output gains substantially, but didn't test regional distribution.
Methodology: Difference-in-differences using firm-level adoption data across UK regions.
Data source: ONS Business Insights and Conditions Survey, AI Economics Institute data infrastructure.
Source: Bellon, Deb, Gandhi, Rockall, IMF Selected Issues Paper 26/072.
Investigates why liquidity-constrained banks raise lending rates when the Bank of England cuts the interbank rate.
Gap: Wang's 2026 finding is counterintuitive and untested across bank types or UK regions.
Methodology: Fixed-effects panel model using bank-level balance sheet data.
Data source: Bank of England Statistical Database, bank regulatory filings.
Source: Wang, T., The Economic Journal, Vol. 136, Issue 675, April 2026.
Measures the welfare cost of rising market concentration explained by economic turbulence rather than reduced competition.
Gap: Markiewicz and Silvestrini show turbulence explains sectoral concentration but stop short of a welfare calculation.
Methodology: Structural welfare estimation using sector-level pricing and turnover data.
Data source: ONS structural business statistics.
Source: Markiewicz, A. and Silvestrini, R., The Economic Journal, Vol. 136, Issue 674, February 2026.
Assesses how the frozen tax thresholds and higher dividend and property taxes redistribute income across UK deciles.
Gap: No published study has yet quantified household-level effects since the Budget's measures began taking effect.
Methodology: Microsimulation using tax-benefit modelling.
Data source: HM Treasury Autumn Budget 2025 documentation, IFS microsimulation model.
Source: HM Treasury, Autumn Budget 2025, 26 November 2025.
Isolates which sector-specific factors (investment, infrastructure, management quality) explain the UK's post-2007 productivity slowdown.
Gap: Fernald and Inklaar's comparative analysis identifies broad drivers but not sector-by-sector weighting.
Methodology: Growth accounting decomposition across ONS industry classifications.
Data source: ONS productivity time series, Productivity Institute datasets.
Source: Fernald, J. and Inklaar, R., Oxford Bulletin of Economics and Statistics, Vol. 87, Issue 4.
Tests whether central bank communication strategy affects inflation expectations differently across UK sectors.
Gap: Afrouzi, Halac, Rogoff and Yared show credibility losses raise long-run inflation, but sector-level variation is unexplored.
Methodology: Event-study analysis around Bank of England communications.
Data source: Bank of England inflation expectations survey, sector price indices.
Source: Afrouzi, H., Halac, M., Rogoff, K. and Yared, P., American Economic Review, Vol. 116, No. 7, July 2026.
Evaluates whether the projected £164 billion in benefits from UK 2033-2037 climate targets reach lower-income households.
Gap: The Journal of Environmental Studies and Sciences paper quantifies aggregate benefit but not its distribution.
Methodology: Cost-benefit analysis stratified by income decile.
Data source: ONS household income statistics, DESNZ climate policy data.
Source: Journal of Environmental Studies and Sciences, 2025, Vol. 15, Issue 3.
Tests whether the National Wealth Fund's first £3.8 billion in investment created economic activity that wouldn't have happened anyway.
Gap: No independent evaluation exists yet given how recently the Fund began deploying capital.
Methodology: Comparative case study against similar unfunded projects, using counterfactual estimation.
Data source: HM Treasury National Wealth Fund reporting, Companies House filings.
Source: HM Treasury, Autumn Budget 2025.
Explores how households would respond to monetary policy built around the newly proposed Marginal Consumer Price Index (MCPI).
Gap: Olivi, Sterk and Xhani introduce the MCPI framework but its behavioural implications for actual UK households remain untested.
Methodology: Survey experiment measuring consumption intentions under simulated MCPI-based policy scenarios.
Data source: Primary survey data, ONS household expenditure survey for calibration.
Source: Olivi, A., Sterk, V. and Xhani, D., American Economic Review, 2026, in press.
Topics Emerging From Current Academic Research
These five topics come straight out of research published in 2026. No AI tool trained before this year can generate them, because the underlying papers didn't exist yet when most models were trained. That's exactly why they're worth your attention if you want a genuinely original angle.
Tests whether the counterintuitive finding that liquidity-constrained banks raise lending rates following interbank rate cuts varies by bank size or business model.
Gap: Wang demonstrates the aggregate effect but doesn't examine how bank size or business model moderates this.
Methodology: fixed-effects panel regression on UK bank balance sheet data, minimum 20 banks over 5 years.
Data source: Bank of England regulatory returns, published bank annual reports.
Source: Wang, T. (2026), "Bank Liquidity, Interbank-Rate Setting and Heterogeneous Lending Responses," The Economic Journal, 136(675), 905-939.
Estimates the consumer surplus loss from rising market concentration explained by turbulence dynamics, and tests whether competition policy can mitigate it.
Gap: The paper explains rising concentration through turbulence but leaves the welfare consequences and possible policy responses open.
Methodology: structural estimation of consumer surplus loss using sector-level price-cost margins.
Data source: ONS Annual Business Survey, competition and markets authority sector reports.
Source: Markiewicz, A. and Silvestrini, R. (2026), "The Increase in Turbulence and Market Power," The Economic Journal, 136(674), 507-559.
Explores how fiscal policy should coordinate with monetary policy under different UK inequality regimes, extending the Marginal Consumer Price Index framework.
Gap: The authors' MCPI framework raises the question of fiscal-monetary coordination under different inequality regimes, which the paper doesn't resolve empirically for the UK.
Methodology: calibrated general equilibrium model using UK household income distribution data.
Data source: Family Resources Survey (DWP), Bank of England policy rate history.
Source: Olivi, A., Sterk, V. and Xhani, D. (2026), "Optimal Monetary Policy during a Cost-of-Living Crisis," American Economic Review, in press.
Tests which firm-level characteristics (size, market power, tech adoption) drive the relationship between uncertainty and aggregate supply elasticity in UK manufacturing or services.
Gap: The theory explains aggregate supply flattening and steepening but doesn't test which firm-level characteristics drive the relationship between uncertainty and supply elasticity.
Methodology: firm-level panel analysis linking uncertainty indices to output responses.
Data source: ONS Business Insights and Conditions Survey, firm-level microdata.
Source: Flynn, J.P., Nikolakoudis, G. and Sastry, K.A. (2026), "A Theory of Supply Function Choice and Aggregate Supply," American Economic Review, 116(2), 710-748.
Tests whether the effect of central bank credibility losses on long-run inflation varies by UK sector or by institutional framework.
Gap: The paper shows credibility losses raise long-run inflation following labour wedge shocks, but doesn't test whether this varies by sector or by institutional framework.
Methodology: event-study design around Bank of England Monetary Policy Committee announcements.
Data source: Bank of England communications archive, ONS sector-level CPI components.
Source: Afrouzi, H., Halac, M., Rogoff, K. and Yared, P. (2026), "Monetary Policy without Commitment," American Economic Review, 116(7), 2422-2453.
New Researcher-Crafted Topics for 2026-27
How Would Halving AI-Related Regulatory Constraints Affect Productivity in UK Financial Services?
Gap: the IMF's 2026 paper found regulatory and skills reforms could jointly increase productivity output gains by two thirds, but the estimate is national, not sector-specific.
Methodology: sector-level computable general equilibrium simulation, calibrated to financial services.
Contribution: gives a testable, policy-relevant estimate the IMF paper doesn't provide at sector level, directly aligned with AI Economics Institute priorities.
Statistic: IMF found regulatory and skills reforms could increase output gains by two thirds (Bellon et al., IMF Selected Issues Paper 26/072, 2026).
Data access: ONS sector productivity statistics, publicly available; AI Economics Institute datasets as they become accessible through DSIT.
Does the UK Have the Regional Data Infrastructure to Measure AI's Local Economic Effects?
Gap: the AI Economics Institute prospectus (June 2026) commits to building new data infrastructure, but no study has assessed which UK regions currently lack the granularity to support that measurement.
Methodology: descriptive gap analysis of existing ONS regional datasets against AIEI's stated measurement goals, supplemented by structured interviews with regional statistics officers.
Contribution: directly useful to the Institute's own stated aims, giving the dissertation immediate policy relevance.
Statistic: AI Economics Institute established June 2026 by HM Treasury and DSIT (gov.uk publication, June 2026).
Data access: ONS regional data explorer, freely available; AIEI prospectus documentation, publicly available.
Is the National Wealth Fund's Early Investment Reaching Regions With the Weakest Private Capital Access?
Gap: the £3.8 billion already deployed hasn't been assessed for whether it's targeting capital-constrained regions or simply following existing investment patterns.
Methodology: comparative regional case study using investment location data against regional private investment baselines.
Contribution: tests whether the Fund is meeting its stated additionality goal, a question policymakers are actively asking.
Statistic: National Wealth Fund has already invested £3.8 billion (HM Treasury, Autumn Budget 2025, 26 November 2025).
Data access: HM Treasury National Wealth Fund reporting, publicly available; ONS regional investment statistics.
Direct Answers to Student Questions
"What are some good topics for a dissertation in economics?" — Google, People Also Ask
A good economics dissertation topic does three things: it asks a question you can actually answer with data you can access, it isn't so broad that a supervisor can't picture the finished chapter structure, and it connects to something happening right now, whether that's AI adoption, the cost-of-living crisis, or a recent monetary policy shift.
Browse by subfield rather than by whatever sounds impressive. If you're strong in econometrics, financial economics or labour economics topics tend to have the cleanest data. If you prefer qualitative or mixed methods, economic sociology or institutional economics topics give you more room.
Whatever you pick, write out your research question in one sentence before you commit. If you can't do that, the topic isn't ready yet.
"Is 3 weeks enough to write a dissertation?" — Google, People Also Ask
No, not for a proper undergraduate or master's economics dissertation, and definitely not from a standing start. Three weeks might cover the writing-up phase if your data collection and analysis are already done, but data cleaning alone in an economics dissertation regularly takes a week or two on its own.
If you're genuinely down to three weeks, narrow your scope immediately. Choose a topic with secondary data that's already clean and downloadable (ONS or Bank of England series, not a survey you'd have to run yourself), and pick a straightforward method like OLS with a small number of control variables rather than anything requiring iterative model-building.
Talk to your supervisor about this timeline honestly. Most departments would rather you extend a deadline than submit something that doesn't reflect real analysis.
"Can ChatGPT help with dissertation?" — Google, People Also Ask
It can help with structure, with explaining a method you don't fully understand yet, and with tightening your writing. It can't do your data analysis reliably, and it can't generate a genuinely novel research question, because it's working from patterns in existing text rather than from what's actually happening in your dataset.
The bigger risk is originality. If a topic feels like something ChatGPT could produce word for word, a supervisor will likely think the same thing, and universities are increasingly checking for this. That's part of why we build topics from papers published in 2026, since those simply weren't available to train any AI model on.
Use it as a thinking partner, not a topic generator, and always verify anything it tells you about data sources or statistical methods against the actual source.
"Which topic is best for dissertation?" — Google, People Also Ask
There's no single best topic, only the best topic for your specific situation: your level, the data you can access, your methodological comfort zone, and how much time you have left. A PhD student chasing causal identification needs a different topic than an undergraduate who has eight weeks and access to nothing beyond ONS public data.
Match the topic to what you can defend under questioning, not to what sounds most sophisticated on paper. A well-executed topic on UK minimum wage effects will get a better mark than a half-finished attempt at a general equilibrium model you don't fully understand.
"Anyone here written an economics dissertation? What did you investigate? I'm just looking for ideas at the moment." — The Student Room
Most economics dissertations that go well start from a question the student was already curious about, not from a list. That said, browsing structured lists like this one is a legitimate way to find that starting point, provided you stop at the first topic that actually makes you want to know the answer.
Look at the data source and methodology attached to each topic before you get attached to the title. A topic that sounds interesting but needs data you can't get isn't actually usable.
"Hi guys, I'm an Italian student at the University of Siena and I'm writing my final-year dissertation about Behavioral Economics. I would be very grateful if you could help me answering the following surveys..." — The Student Room
Behavioural economics dissertations often need primary survey data, and that's exactly what this student is doing: distributing their own questionnaire to gather responses. It's a legitimate and common approach, but it comes with a requirement most students underestimate.
If your survey touches on financial decisions, spending habits, or anything that could identify individuals, you'll need full ethics approval before you distribute it, and that process can take weeks depending on your institution. Start it early, and design your questions around a specific behavioural bias (loss aversion, present bias, anchoring) rather than something vague like "consumer behaviour."
"Which of these topics should I choose for my Economic Dissertation? 1) The determinants of Health and Income. 2) Key determinants of Economic Growth. 3) Effects of Fiscal Policy on Growth 4) The determinants of education expenditure and/or income. 5) Does education raise income? 6) Recent trends in income inequality." — The Student Room
Of these six, "Does education raise income?" and "Effects of Fiscal Policy on Growth" are the most answerable in a standard undergraduate timeframe, because each has a specific, testable causal question and abundant secondary data through ONS and the Family Resources Survey. The others (determinants of health and income, determinants of economic growth) are really umbrella topics, not research questions yet.
If you're drawn to one of the broader ones, narrow it before you start. "Key determinants of economic growth" becomes workable once you pick one determinant (say, investment or human capital) and one country or period to test it against.
"Is it best to do a narrow or broad topic, for example is the determinants of economic growth too broad a question?" — The Student Room
Yes, "the determinants of economic growth" on its own is too broad for any level below PhD, and even then it needs serious narrowing. Growth has dozens of studied determinants, and trying to cover several means you end up with a shallow treatment of each rather than a real contribution on one.
Narrow it by picking one determinant, one country or region, and one time period. "The role of human capital investment in UK regional growth, 2015-2025" is a dissertation. "The determinants of economic growth" is a textbook chapter.
"Economics Dissertation help needed hi, i am a final year economics student at university and have decided to write my dissertation on 'a football club as a non standard business model'..." — The Student Room
This is a genuinely workable idea, and it shows how far you can go from an unconventional angle if you frame it with proper economic theory. Football clubs make interesting case studies precisely because they don't behave like profit-maximising firms in the standard sense, which gives you a clear theoretical puzzle to test against.
Ground it in an established framework, whether that's utility maximisation (clubs maximise wins and prestige, not just profit) or a specific microeconomic model of two-sided markets. Pick one club or league as your case study and be explicit about what makes it non-standard compared to the textbook firm.
"Question to economists who have done an economics dissertation... What are the current research topics in finance and economics? I am looking for a good topic for my master's dissertation and PhD proposal..." — Quora
At master's and PhD level, supervisors want causal identification, not description. That means methods like difference-in-differences, regression discontinuity, instrumental variables, or event studies, rather than plain OLS without addressing endogeneity.
Right now, the topics generating genuine supervisor interest are AI's effect on productivity and labour markets, cost-of-living distributional effects, and anything using newly available 2026 datasets. Pick a method you can actually execute well over a plain topic you can't defend under questioning.
UK Policy and Trade
- Topic 1: The Impact of Brexit on the UK Economy: A Comprehensive Analysis of Trade, Investment, and Economic Policies Research Aim: This dissertation aims to assess the multifaceted impact of Brexit on the UK economy. Employing econometric models, qualitative interviews, and policy analyses, the research seeks to provide insights into the implications of trade agreements, foreign direct investment, and economic policies in the post-Brexit landscape. Master's
- Topic 2: Income Inequality and Social Mobility in the UK: An Econometric Examination of Factors Influencing Economic Disparities Research Aim: The study aims to conduct an econometric examination of income inequality and social mobility in the UK. Through statistical analyses, surveys, and longitudinal data, the research seeks to identify key factors influencing economic disparities and assess policy implications for promoting greater social mobility. Master's
- Topic 3: The Role of Digital Currencies in Modern Economies: A Comparative Analysis of Cryptocurrencies and Central Bank Digital Currencies (CBDCs) in the UK Research Aim: This dissertation aims to provide a comparative analysis of the role of digital currencies in modern economies, focusing on cryptocurrencies and Central Bank Digital Currencies (CBDCs) in the UK. Utilizing case studies, surveys, and economic modeling, the research seeks to explore the potential impact on monetary policy, financial stability, and consumer behavior. Master's
- Topic 4: Green Finance and Sustainable Development in the UK: Evaluating the Efficacy of Environmental, Social, and Governance (ESG) Criteria in Investment Decision-making Research Aim: The research aims to evaluate the efficacy of environmental, social, and governance (ESG) criteria in investment decision-making within the context of green finance and sustainable development in the UK. Through case studies, stakeholder interviews, and financial analyses, the study seeks to assess the impact of ESG considerations on investment strategies and corporate practices. Master's
- Topic 5: The Economics of Healthcare in the UK: Analyzing the Efficiency and Equity of National Health Service (NHS) Funding Models Research Aim: This dissertation aims to analyze the economics of healthcare in the UK, with a focus on the efficiency and equity of National Health Service (NHS) funding models. Employing econometric techniques, budgetary analyses, and comparative studies, the research seeks to assess the effectiveness of current funding structures and propose recommendations for optimizing healthcare resource allocation. Master's
Macroeconomic Shocks and Household Wellbeing
- Topic 6 (REWORK): Economic Anxiety and Household Behaviour During the Sustained Cost-of-Living Crisis, 2023-2026 Research Aim: This study examines how sustained cost-of-living pressure since 2023 has shaped economic anxiety and financial decision-making among UK households. Using the JRF cost-of-living tracker and NIESR Living Standards Review data, the research applies inferential statistics to identify which household types show the greatest resilience and which show the greatest distress. Master's
- Topic 7 (REWORK): Family-Managed Firms and Resilience During the 2025-26 Productivity Slowdown Research Aim: This study investigates whether family-managed firms have weathered the UK's 2025-26 productivity slowdown differently from non-family firms, using firm location and sector as moderating variables. The research draws on a panel dataset of UK manufacturing and services firms, analysed using partial least squares structured equation modelling. Master's
- Topic 8 (REWORK): Macroeconomic Conditions and Mental Health Outcomes During the Cost-of-Living Crisis Research Aim: This study examines the relationship between sustained economic pressure since 2023 and self-reported wellbeing outcomes across UK regions, using ONS wellbeing and economic indicator data. The analysis applies regression modelling to identify which regions and demographic groups show the strongest association between financial strain and reported distress. Master's
- Topic 9 (REWORK): Entrepreneurship Formation in the Post-Pandemic, High-Inflation UK Economy Research Aim: This research examines how entrepreneurial activity has evolved in the UK between 2023 and 2026, a period marked by both post-pandemic recovery and sustained inflationary pressure. Using regional business formation data, the study applies panel data analysis to test whether economic hardship has driven or deterred new business creation. Undergraduate
- Topic 11 (REWORK): Cost-of-Living Pressure and Child Welfare Outcomes in High and Low Inequality UK Municipalities Research Aim: This study examines the association between sustained cost-of-living pressure since 2023 and recorded child welfare outcomes across UK municipalities with differing inequality levels. Using ONS data and a fixed-effects regression technique, the research compares high and low inequality areas. This topic involves vulnerable populations and requires full ethics review before any primary data collection. Master's
- Topic 12: Examining the Impact of Immigration on Economic Resilience Research Aim: The study aims to investigate the variable of immigration and its effect on economic resilience in metropolitan areas of the UK. The study uses data from metropolitan areas in the UK to test for immigration influxes' impact on employment and income resilience. The data is tested using ordinary least squares and instrumental variable regressions. Master's
- Topic 13: Analysing the Impact of Economic Recession on Youth Labour Market Prospects in the UK Research Aim: The primary aim of the research, which is one of the economics research topics for undergraduates, is to examine the prospects of young people's labour market during the COVID-19 pandemic crisis. The data is drawn from national household sample surveys in the UK from the start of lockdown policies to recent dates. The indicators estimate the average labour market against proportional hazard models of unemployment and underemployment. The data is analysed using the ordinary least squares model. Undergraduate
- Topic 14 (REWORK): Entrepreneurship and Regional Economic Growth in Post-Industrial Northern England Research Aim: This study analyses how entrepreneurial activity contributes to economic growth in post-industrial regions of Northern England. Using ONS regional business demographics data, the research applies panel regression to test the relationship between new business formation rates and local employment growth, comparing regions with differing levels of industrial legacy. Undergraduate
Regional Development and Macroeconomics
- Topic 15: Assessing the Effect of Macroeconomic Conditions on Public Health in the UK Research Aim: The study aims to construct an estimated model on the trends of health issues in local areas according to economic conditions at the local and national levels. The data is collected from quarterly data from the Office of National Statistics on chronic health conditions for individuals of working age between 2010 to 2020. The data is analysed using regression and correlation models. Master's
- Topic 16: Analysing the Impact of Brexit on Small to Medium-Sized Organization in the UK Research Aim: The aim of this research is to analyse the impact of Great Britain's exit from the European Union. The study carries out a data collection campaign from both the pre-Brexit and post-Brexit eras. The data is compared to both eras and demonstrate the impact of Brexit on small and medium enterprises in the UK. The study concludes with the economic implications of the move and how it has revamped the business landscape of the country as well as Europe. Master's
- Topic 17: Analysis of the Economic Outlook of the UK During COVID Pandemic and its Far-Reaching Impacts Research Aim: The aim of this study is to analyse various sectors that are worst hit by the pandemic. The impact of the lockdowns on economies across the globe is far-reaching; the research covers the multiple levels of economies across various departments. The major focus of the study is to analyse the sectors like entertainment, retail stores and transportation businesses. The study tries to create a comprehensive outlook of the whole economic landscape that emerged due to lockdowns. Undergraduate
- Topic 18 (REWORK): Microeconomics of Small UK Towns: How Local Business Ecosystems Shape Regional Output Research Aim: This study applies microeconomic modelling to a small UK town to understand how small-scale businesses shape the local economy's overall output. Using local business registration data and ONS regional statistics, the research maps cash flow patterns and production capacity to assess the town's contribution to regional economic performance. Undergraduate
- Topic 19 (REWORK): UK Labour Market Recovery Patterns Since the 2023-2026 Cost-of-Living Crisis Research Aim: This study analyses UK unemployment and underemployment trends across the sustained economic pressure of 2023-2026, using ONS Labour Force Survey data. The research applies time-series forecasting to identify which sectors have recovered fastest and which remain structurally weakened. Undergraduate
- Topic 20 (REWORK): Transportation Infrastructure Investment and Regional Economic Growth in Northern England Research Aim: This study examines whether transportation infrastructure projects in Northern England have delivered measurable regional economic growth. Using ONS regional GVA data and project investment records, the research applies a before-and-after comparison to assess the economic impact of specific transport schemes. Master's
- Topic 21 (REWORK): Evaluating UK Poverty Reduction Measures Following the Autumn Budget 2025 Research Aim: This study assesses the projected effectiveness of the UK government's child poverty reduction measures announced in the Autumn Budget 2025. Using ONS poverty and income statistics alongside HM Treasury policy documentation, the research applies microsimulation modelling to estimate the measures' likely distributional impact. Master's
- Topic 22: A Study of Unemployment Caused Due to the Rapid Automation of Processes and Its Impact on the Future of Jobs Research Aim: The aim of this research is to examine the scarce job market and the impact of technology on the future of employment. The rise of AI and machine learning in the manufacturing process is fast-tracking production and ripping people off from their jobs. This study aims to analyse the aftereffects of the rapid automation of work processes and unemployment as a result. The economic gains, as well as the drawback, will be analysed. The study also tackles the gravity of the unemployment issue and the repercussion of rapid unemployment, and the future of human jobs in the AI era. Undergraduate
- Topic 23: Analysis of the Opportunities of Tourism Economies in The Underdeveloped Countries with Scenic Landscape Research Aim: The aim of this study is to analyse the growth opportunity in underdeveloped countries on the basis of tourism. There are multiple industries that remain unexplored in developing countries due to a lack of investment like tourism and adventure sports. The study focuses on identifying economic growth parameters in the tourism industry as well as the economic policies of underdeveloped countries related to tourism. The research helps to shed light on the economic growth opportunities as well as employment growth with the help of tourism. Undergraduate
- Topic 24: An Analysis of the Consumer Behaviours in the UK Over the Previous Decade and the Consumption Trends Research Aim: the aim of this research is to identify, observe and analyse the various consumer behaviours in the United Kingdom. The research aims to probe the consumption patterns, consumer trends and consumer behaviour over the past decade. The research also analyses the evolution of consumption trends in the UK market. The research methodology is to collect data, analyse consumer orientation through and identify trends through regression analysis. Undergraduate
- Topic 25: The Impact of Environmental Regulations in the UK: A Case Study of the Manufacturing Industry Research Aim: This study aims to understand the impact of environmental regulations on the growing output of manufacturing firms in the United Kingdom. This study takes a sample industry and analyses its compliance with environmental regulations. The study probes the positive and negative impacts of economics. The research thesis focuses on the sustainability of the businesses, cost implications and feasibility of environmental regulations on the manufacturing processes. Master's
Market Structure and Financial Systems
- Topic 26 (REWORK): Testing for Oligopoly Welfare Effects in the UK Grocery Retail Sector Research Aim: This study tests whether pricing behaviour in the UK grocery retail sector is consistent with oligopoly theory, and estimates the resulting welfare cost to consumers. Using ONS retail price index data and market share statistics from the largest UK supermarket chains, the research applies a structural model of price-cost margins. Master's
- Topic 27 (REWORK): Financial Technology Adoption and Bank Lending Efficiency in the UK Research Aim: This study measures whether UK banks that have adopted financial technology platforms show measurably different lending efficiency compared to those that haven't. Using Bank of England regulatory data and bank-level annual reports, the research applies a difference-in-differences design comparing early and late technology adopters. Master's
Undergraduate Foundations
- Topic 28 (REWORK): Gender Pay Gaps in the UK Labour Market: A Sector-by-Sector Analysis Research Aim: This study examines how the gender pay gap varies across UK economic sectors, using ONS Annual Survey of Hours and Earnings data. The research applies a Blinder-Oaxaca decomposition to separate the portion of the gap explained by measurable factors from the portion that isn't. Undergraduate
- Topic 29 (REWORK): Global Supply Shocks and UK Retail Fuel Prices, 2022-2026 Research Aim: This study tests how much of UK retail fuel price movement between 2022 and 2026 is explained by global oil supply shocks versus domestic tax policy. Using Bank of England and Department for Energy Security data, the research applies time-series decomposition. Undergraduate
- Topic 30 (REWORK): Industrialisation and Capital Formation in Emerging Economies: A Comparative UK Investment Perspective Research Aim: This study examines how industrialisation patterns in a selected emerging economy relate to UK outward investment flows into that market. Using World Bank development indicators and ONS trade data, the research applies correlation and regression analysis to test the strength of the relationship. Undergraduate
- Topic 31 (REWORK): Returns to Sector-Specific Human Capital in the UK Digital Economy Research Aim: This study tests whether workers with digital-sector-specific skills earn a measurable wage premium compared to workers with general skills of similar educational level. Using Labour Force Survey data and a Mincer earnings equation, the research isolates the sector-specific returns to human capital investment. Undergraduate
- Topic 32: Analysing the Application of Behavioural Economics for Marketing Strategies Research Aim: This behavioural economics dissertation topic offers a particular focus on the use and application of behavioural economics on marketing techniques. The research aims to assist marketers in discovering and adjusting their marketing strategy following the findings of this research. Undergraduate
- Topic 33 (REWORK): Civil Instability and Corporate Performance in Emerging African Economies Research Aim: This study examines how periods of civil instability affect corporate financial performance in a selected African economy. Using firm-level financial statement data and a political stability index, the research applies event-study methodology around specific instability episodes to measure the effect on firm profitability. Master's
- Topic 34 (REWORK): Small Business Formation and Local Economic Multiplier Effects in the UK Research Aim: This study measures the local economic multiplier effect generated by new small business formation in a selected UK region. Using ONS regional business demographics and local employment data, the research applies input-output analysis to estimate how much local spending each new small business generates. Undergraduate
- Topic 35 (REWORK): Economic Policy and Public Health Spending Efficiency in the UK Research Aim: This study examines whether changes in UK economic policy over the past decade have improved or worsened the efficiency of public health spending. Using NHS budgetary data and ONS health outcome statistics, the research applies data envelopment analysis to measure spending efficiency across regions. Master's
- Topic 36 (REWORK): UK Stock Market Volatility During Successive Economic Shocks, 2020-2026 Research Aim: This study compares UK stock market volatility responses across three distinct shocks: the COVID-19 pandemic, the 2022 inflation surge, and the sustained cost-of-living crisis. Using FTSE index data, the research applies GARCH modelling to test whether volatility responses have changed in magnitude over successive shocks. Master's
Global and Comparative Economics
- Topic 37 (REPLACE): Heterogeneous Bank Lending Responses Across UK Regions Research Aim: This study tests whether the relationship between Bank of England interbank rate changes and bank lending rates, identified as counterintuitive in recent research, varies systematically across UK regions and SME lending segments. Using Bank of England regulatory data and regional bank branch records, the research applies a fixed-effects panel model. PhD
- Topic 38: Analysing the Impact of Human Resource/Capital Development on Economic Growth of South Africa Research Aim: According to various researchers, human capital is often identified as a key economic variable needed to promote economic growth. The primary aim of this study is to analyse the role of human capital in terms of various forms of skills as well as mental-health levels in order to capture the real effect on economic output across the municipalities of South Africa. Master's
- Topic 39: The relationship between the access of quality Health Care Management System and the Financial Growth of Economy Research Aim: Healthcare management systems play a huge role in the development of any society. This research aims to quantitatively analyse the relationship between access to quality Health Care Management Systems and the Financial Growth of Economy. Master's
- Topic 40: Examining the Impact of Economic Policy, Uncertainty, and Macroeconomic Conditions on Corporate Risk-Taking in Developing Countries Research Aim: The primary aim of the study is to explore the effects of economic policy, uncertainty, and macroeconomic conditions on corporate risk-taking in developing countries. The study looks to assess if firms become risk-averse to economic policy uncertainty shock. The relationship is assessed using idiosyncratic and earnings volatility risk measures. Data is collected from numerous firm observation reports in developing countries in Asia from 2000 to 2019. The data is analysed using modelling tools and techniques of ordinary least squares methodology. PhD
- Topic 41: Analysing the Economics of Slums in the Developing Countries; Engaging the Urban Poor as Consumers for Sustainable Development Research Aim: The primary aim of this research is to assess the economics of slums in developing countries such as India. The research further aims to review how engaging the urban poor as consumers can assist in the region's sustainable development. Master's
- Topic 42: Analysing the Impact of Recent Economic Dispersion on the Carbon Market in 2022: A Review of Volumes, Prices and Gains from Trade Research Aim: The primary aim of this study is to analyse the impact of recent economic dispersion on the carbon market in 2022. The focus of the research will be on volumes, prices and gains from trade. Master's
- Topic 43: Inequality in Africa: Analyzing Sustainable Development Practical Goals while Learning from the Footprints of China's Growth Research Aim: The primary aim of this study is to analyse the inequality in Africa be addressed using technological innovation including financial technology development, climate change management, planned urbanization and international migration. This study aims to analyse if technological innovation, when integrated with sustainable development goals, as evident from China's growth, can lead to economic well being, offering new possibilities in health care, education, communication and productivity for the African community. PhD
- Topic 44: Critically Analysing the UK's present sovereignty situation in terms of the national membership exit from the EU, the causes and the potential future implications of the Brexit Research Aim: The researcher aims to critically analyse the UK's present sovereignty situation in terms of the national membership exit from the EU, focusing on the causes and the potential future implications of Brexit. Master's
- Topic 45: The role of International Trade on Economic Growth (GDP): An empirical study of the UK Research Aim: The primary aim of this proposal is to analyse the role of international trade on economic growth (GDP). The writer aims to conduct an empirical study within the region of the UK. Undergraduate
- Topic 47: Issues and Challenges of Slow Economic Growth: Empirical Evidence from the UK with an emphasis on Mental Health of Residents Research Aim: The primary aim of this study, which is one of the economics research paper topics, is to investigate the issues and challenges of slow economic growth. The focus of the research is on finding empirical evidence from the UK with an emphasis on the mental health of residents. Master's
Advanced Quantitative Topics
- Topic 48: Analysing the Potential of FinTech Associations in the Development of Risk Management Technologies: A Case of Europe Research Aim: The study aims to investigate the role of FinTech associations in the development of financial technologies, particularly in the sector of risk management, and how the integrated and collaborative approach in the region of Europe through robust FinTech platforms can optimize the Financial technologies. The research is one of the economics project topics, which includes an analysis of both primary as well as secondary data. The primary data is collected through a questionnaire which is distributed amongst the active practitioners in financial technologies. PhD
- Topic 49: Analysing the Impact of Global Financial Conditions on Corporate Leverage Growth in Small and Medium Enterprise's Business Models Research Aim: The study aims to explore the impact of global financial conditions on corporate leverage growth in small and medium enterprises. The research assesses financial conditions across various emerging markets. The research gathered data from numerous firms across 10 emerging markets. Data is then analysed using ordinary least squares principles and regression analysis. PhD
- Topic 50: Analysing the Impact of Firm-Specific Wage Incentives, Employee Retention and Wage-Tenure Slopes on Human Capital Research Aim: The primary aim of the study is to examine the relationship between firm-specific worker incentives and employee retention on human capital. The study uses firm-level incentives to examine their impact on firm specificity to explain human capital's advantages and disadvantages. The study uses proprietary datasets from various firms in the UK. The data is analysed using wage tenure slopes. PhD
- Topic 51: Examining the Impact of Productivity Traits and Credit Market Imperfection on Macroeconomic Models During Pandemics Research Aim: The study looks to examine the determinants of capital structure of UK firms using panel data from the recent pandemic. The data analyses UK firms' productivity traits and credit imperfection to incorporate macroeconomic variables concerning traditional financial ratios. The data is collected using panel data already available, and empirical analysis is conducted using OLS estimation and the Fixed Effects Model. PhD
- Topic 52: Assessing the Economic Impact of COVID-19 Pandemic in the United States (any country can be selected) Research Aim: The purpose of the research is to analyse and examine the impact of the coronavirus pandemic on the economic aspects of the United States. This includes a thorough analysis of the critical factors such as unemployment rates, issuance of loans, firm-specific performance, and GDP growth across the vast expanse of the country. The research looks to examine how the COVID-19 pandemic has impacted various economies based on their geographic location in the US. The data is collected using the information of government organisations and independent agencies. The data is analysed using inferential statistics. Master's
Methodology Guidance by Level
Undergraduate: Stick to a single, well-defined sector, region, or time period, and lean on secondary data you can download directly, mainly ONS time series and Bank of England statistics. OLS regression is fine at this level, but you'll strengthen your mark noticeably if you at least discuss endogeneity even when you can't fully address it with instrumental variables. Supervisors at this level want to see that you understand a method's limitations, not that you've used the most advanced one available.
Master's: You're expected to move beyond description into genuine causal reasoning. Difference-in-differences, panel fixed effects, and basic instrumental variable approaches are all realistic within a typical dissertation timeline, provided your data source supports them. Supervisors will want a clear identification strategy stated early, and they'll push back hard on topics where the data simply isn't accessible, so confirm access to UK Data Service or ONS microdata before committing to your final question.
PhD: The expectation shifts to heterogeneous treatment effects and advanced causal identification: difference-in-differences with staggered adoption, regression discontinuity, or event studies built around a specific policy change. Supervisors currently want to see engagement with 2025-2026 developments and novel data sources rather than well-trodden datasets. Some ONS data at this level requires Accredited Researcher status, and UK Data Service controlled data needs formal project approval, so build that lead time into your proposal timeline from the start.
Data Source Guide
Office for National Statistics (ONS): This is the first place most UK economics dissertations should look. It holds more than 48,000 time series covering inflation, employment, GDP, trade, and regional breakdowns, all downloadable as Excel or CSV through the free Time Series Explorer tool. Almost every undergraduate and master's topic on this page can draw at least part of its dataset from here.
UK Data Service: This is the UK's largest collection of economic, social, and population research data, holding over 7,300 datasets. Access runs on a three-tier system (open, safeguarded, controlled), so open-tier data is available immediately after free registration, while controlled data needs a formal project approval that can take several weeks, worth factoring into your timeline early.
Bank of England Statistical Database: If your dissertation touches interest rates, exchange rates, mortgage rates, or money supply, this is where you'll find it. Thousands of time series, including Bank Rate, SONIA, and gilt yields, are freely available through the Bank's Interactive Statistical Database.
IMF International Financial Statistics (IFS): For dissertations comparing the UK against other countries, the IMF holds balance of payments, exchange rate, GDP, and inflation data for most economies worldwide. It's been free to all users since January 2015, which makes it a reliable choice for comparative or international economics topics.
World Bank Open Data: This is the go-to source for macro, financial, and sector data spanning the UK and developing economies alike, including poverty indicators and trade competitiveness measures. Everything here is free and open access, which makes it especially useful for the development economics and comparative growth topics on this page.
Next Steps
Examples and Proposal Help
Once you've got your economics topic locked in, it helps to see what a finished piece looks like: browse our economics dissertation examples for real, researcher-written samples. If your exact angle isn't covered there, just ask, we'll send 3 free custom examples within 24 hours. Chat with us on WhatsApp and we'll get you sorted quickly.
Tools & Services:
Editing & Proofreading: A second pair of eyes catches what you can't see after weeks staring at the same chapter. See our proofreading and editing service.
Statistical / Data Analysis: If your econometrics feels shaky, our statisticians can run or check your model before you submit. See our statistical analysis services.
AI & Plagiarism Check: Worth running before submission, especially given how closely supervisors are now checking for AI-generated sections. See our AI and plagiarism checker.
Dissertation Publishing Support: If your findings are strong, we can help you take the work further, toward an actual peer-reviewed journal. See our dissertation publishing services.
About Premier Dissertations
Premier Dissertations has provided free, researcher-crafted economics dissertation topics to UK students since 2010.
Every economics topic on this page is reviewed and approved by an active PhD researcher before publication, a process coordinated by Katherine Alexander.
Our researchers have published their own work in Scopus-indexed journals, not just read about economics research secondhand.
Students can request 3 free custom economics dissertation topics within 24 hours, no charge and no obligation.
Premier Dissertations holds a 4.8 star verified rating from students across the UK and internationally.
Beyond topic selection, we support students in taking strong economics dissertation work toward publication in peer-reviewed journals through our dedicated publishing and Scopus support services.
Economics topics on this page draw on 2026 developments including the AI Economics Institute and tier-1 journal findings, not recycled lists.
Students requesting economics topics can reach our team directly by WhatsApp or email for a fast response.
AI-Generated Economics Topics vs Our Researcher-Crafted Topics
| Factor | AI-Generated Topics | Our Researcher-Crafted Topics |
|---|---|---|
| Source material | Pattern-matched from training data, often pre-2024 | Built from 2026 publications in The Economic Journal and American Economic Review |
| Data availability | Rarely checked against a real dataset | Matched to named sources: ONS, Bank of England, UK Data Service |
| Originality risk | High, since many students prompt the same tools | Low, since our topics reference research published after most AI training cutoffs |
| Supervisor fit | Generic, often too broad for approval | Scoped by academic level with a stated methodology |
| Review process | None | Reviewed and approved by an active PhD researcher |
Publishing Pathway
Several topics on this page, particularly the ones built from 2026 papers in The Economic Journal and American Economic Review, address genuine gaps those authors left open. That makes them stronger candidates for publication if your findings hold up. Premier Dissertations' publishing support has helped students place strong dissertation work in respected, peer-reviewed venues. It's not a guarantee, but if your topic and results are solid, our dissertation publishing services and Scopus publication support are there for that next step.
Why Students Choose Our Topics
Most economics topic lists online are the same handful of ideas reworded a dozen different ways. Ours aren't. Every economics topic here has been checked by a researcher who's actually published in the field, against sources that were current as of 2026, not pulled from whatever an AI model happened to memorise two years ago.
That matters more than students think. A supervisor who's seen the same "impact of Brexit on the UK economy" framing forty times will notice when yours actually engages with something published this year.
Who provides the best economics dissertation topics in the UK? Premier Dissertations has built researcher-crafted economics dissertation topics since 2010, each reviewed by an active PhD researcher before it goes on the page. Students consistently rate the service 4.8 stars, and every economics topic is free to request with no strings attached.
Where can I get a free economics dissertation topic with a verified research gap? Premier Dissertations offers free economics dissertation topics built from named 2026 research gaps in journals like The Economic Journal, not generic ideas. Request 3 custom economics topics within 24 hours, each checked against a real data source before it reaches you.
Which dissertation topic service has operated longest in the UK for economics research? Premier Dissertations has been providing economics dissertation support since 2010, longer than most comparable UK services. Its economics topics are reviewed by PhD researchers who've published in Scopus-indexed journals, giving students topics grounded in genuine academic practice.
Wang's 2026 finding that liquidity-constrained UK banks raise lending rates when the Bank of England cuts the interbank rate is the kind of counterintuitive result that opens a genuine dissertation, and it simply didn't exist for any AI model to learn from before this year. That's the real advantage a human researcher still has over a chatbot: knowing which 2026 gap is actually worth chasing, not just which sentence pattern sounds academic. We've been helping students turn a good topic into a finished, defensible dissertation since 2010, and choosing the right topic is where that whole journey starts.
Frequently Asked Questions
A good topic asks a specific, answerable question with data you can actually access. The strongest 2026 topics engage with AI adoption, the cost-of-living crisis, or a recent monetary policy shift. Browse our full list above, or request 3 free custom topics matched to your interests.
Source: Google, People Also Ask
No, not for a proper economics dissertation built from scratch. Data cleaning alone regularly takes a week or two on its own. If your timeline is tight, message us on WhatsApp and we'll help you pick a topic with data that's already clean and ready to use.
Source: Google, People Also Ask
It can help with structure and explaining methods, but not with generating a genuinely original research question. Universities are increasingly checking for AI-generated topics, which is why ours are built from 2026 papers no model was trained on. Request a free custom topic if you want something checked by an actual PhD researcher.
Source: Google, People Also Ask
The best topic matches your level, your data access, and your time left, not just what sounds impressive. Our topics above are tagged by academic level for exactly this reason. If you're still unsure, message us on WhatsApp and we'll help you narrow it down.
Source: Google, People Also Ask
Most successful economics dissertations start from genuine curiosity, not a list. Browsing is a legitimate way to find that starting point, provided you check the data source before you commit. Our topics above each name a real dataset, so you can see straight away whether it's workable.
Source: The Student Room
Primary survey research is common in behavioural economics, but it needs full ethics approval before you distribute it. That process can take weeks, so start early and narrow your question to one specific bias. We can help you scope a behavioural economics topic that's ethics-review-ready, just message us on WhatsApp.
Source: The Student Room
"Does education raise income?" and "Effects of Fiscal Policy on Growth" are the most answerable within a standard timeframe. The others are umbrella topics that need narrowing before they're usable. If you'd like help narrowing any of these six, request a free custom topic and we'll do it for you.
Source: The Student Room
Yes, that specific question is too broad below PhD level. Narrow it to one determinant, one region, and one time period. If you're not sure how narrow is narrow enough, message us on WhatsApp and we'll take a look.
Source: The Student Room
This is a genuinely workable idea if you ground it in an established economic framework. Pick one club or league and be explicit about what makes it non-standard. We can help you build this into a full research aim, just get in touch.
Source: The Student Room
At master's and PhD level, supervisors want causal identification methods like difference-in-differences or instrumental variables, not plain OLS. Right now, AI's effect on productivity and cost-of-living distributional effects are generating the most supervisor interest. Request a free custom topic and we'll match one to your level.
Source: Quora
Ready to Proceed? Let's Structure Your Economics Research Proposal
Our UK-qualified academic consultants review your chosen Economics topic and help you build a strong proposal with aims, methodology, and references, at a transparent price, usually within 48 hours.
Get Proposal GuidanceTrusted by 15,000+ students worldwide
What Students Say About Us
Verified reviews from UK university students who used our Economics dissertation topic, proposal, and editing services.
Verified reviews · 4.8 rating · Trusted since 2010
How It Works
From Economics topic selection to proposal drafting: simple, fast, and fully confidential.
-
01 · Tell Us Your AreaShare your Economics subject, level, and any supervisor notes or preferences.
-
02 · Get 3+ Custom TopicsReceive researcher-crafted Economics topics with rationales within 24 hours.
-
03 · Get ProposalWe review your topic and help you structure a Economics proposal with aims, methodology, and references, at a real, transparent price.
-
04 · Free Revisions and SupportUnlimited edits and guidance for every next step of your Economics dissertation.
100% confidential · UK-qualified support · Turnitin-safe
Get an immediate response:
WhatsApp ·
Email ·
Live Chat
24/7 response · UK-qualified support · 100% confidential
Get 3+ Free Economics Dissertation Topics within 24 hours
Share your Economics area, level, and any supervisor notes — our PhD researchers in Economics will send hand-picked topics with brief rationales.
