How to Write an Economics Research Paper: Structure and Examples

You’re about to write an economics research paper. It’s not a general essay. It’s not a history review. Economics papers have their own specific conventions—triangular introductions, inverted pyramid paragraphs, regression tables, and data-heavy methodology sections. Get the structure wrong, and your paper reads like a policy debate instead of empirical research.

Here’s exactly how to write an economics research paper that meets academic standards and actually gets cited.

What you’ll learn:

• The standard economics paper structure (six sections, in order)
• How to write an introduction using the “triangular” method Harvard and IZA both recommend
• How to format regression tables in APA style
• Where to find reliable economic data (World Bank, Federal Reserve, Census, and more)
• Seven common mistakes economics students make—and how to avoid them
• Three worked examples: minimum wage, health policy, and labor economics

What Makes an Economics Research Paper Different?

Economics writing is technical, not literary. Its primary goal is clarity of analysis, not eloquence.

Unlike history papers that build narrative or political science papers that trace institutional evolution, economics papers test claims using data. They combine mathematical models, statistical methods, and empirical evidence to answer a single research question.

According to Harvard’s Writing Project, economics papers require three essential components:

1. A clear research question that addresses an economic puzzle or policy problem
2. An empirical component that uses data to test a hypothesis
3. A discussion of results with clear policy or theoretical implications

This isn’t about having opinions about economic policy. It’s about using evidence to answer a specific, testable question.

The Standard Economics Paper Structure

A rigorous economics paper follows a logical progression through six sections:

Each section builds on the previous one. The introduction tells you what the paper does. The literature review tells you what other economists have done. The methodology tells you how you tested your hypothesis. The results show what you found. The discussion explains what it means. The conclusion tells the reader why it matters.

Section 1: The Introduction (The “Triangular” Method)

This is where most students get it wrong.

In a history paper, you build suspense. In an economics paper, you don’t. Economics papers use what economists call a “triangular” introduction structure—your main finding comes first, and the rest of the paper proves it.

The Institute of Labor Economics (IZA) describes this as the “Bottom Line Up Front” (BLUF) method. Your readers should know your research question, your approach, your main result, and why it matters within the first three paragraphs.

The Introduction Formula (from Harvard, IZA, and top journal editors)

Paragraph 1: The Hook

Start with a puzzle or problem. Not a quote from Adam Smith. Not “Since the dawn of capitalism…” A real economic puzzle.

Good example (from a paper published in the American Economic Review):

“Developing countries have made impressive progress in improving school enrollment and completion in the last two decades. Yet, their productivity in converting education investments of time and money into human capital remains very low.”

Bad example:

“Education is important. Many people don’t get enough of it. This paper looks at why.”

Paragraph 2: The Research Question

State your question clearly. No ambiguity.

“I focus on a particular dimension of diversity (economic status) and seek to answer the following question: what effects do peers from poor households have on students from relatively wealthy families?”

Paragraph 3: The Contribution

Explain how your paper adds to existing literature.

“We contribute to the broader literature on outsourcing service delivery. In our setting, while outsourcing management improves most indices of school quality on average, the effect varies across providers.”

Paragraph 4: The Roadmap

Briefly state the structure of the rest of your paper.

“Section 2 reviews the literature. Section 3 describes the data and variables. Section 4 outlines the empirical strategy. Section 5 presents the results. Section 6 discusses implications and concludes.”

Section 2: Literature Review

Your literature review demonstrates your familiarity with scholarly work on your topic. It lays the foundations for your paper.

What a Good Literature Review Does

• Summarizes existing research (don’t just list papers—synthesize them)
• Identifies the gap your paper fills (what haven’t economists tested?)
• Positions your work relative to previous studies

What a Bad Literature Review Does

• Lists papers one by one with no synthesis
• Ignores recent research (anything older than five years is usually too old for empirical economics)
• Reads like an annotated bibliography instead of an argument

According to the Center for Global Development, “don’t review the literature as if it relates to your paper—review it as it relates to your paper.”

Example: Good Literature Review Paragraph

Here’s how a top journal paper positions its contribution (from a paper in the Quarterly Journal of Economics):

“A large literature shows that providing information to households affects decision-making across many domains. However, these interventions have primarily delivered information that one might not expect households to know, even richer or well-informed households. This paper investigates whether providing information about relative income inequality affects consumption choices.”

Section 3: Data and Methodology

This is where economics papers differ most from other disciplines. Your methodology section must be detailed enough that another researcher can replicate your analysis.

Step 1: Describe Your Data

Every economics paper needs to answer these questions:

• Where did the data come from? (World Bank, Federal Reserve, Census Bureau, ACS survey, etc.)
• What time period does it cover?
• How many observations (sample size)?
• What variables are included?
• How were variables measured?

Common economic data sources students can use:

Step 2: Define Your Variables

Every variable in your analysis must be clearly defined:

• Dependent variable (what you’re trying to explain)
• Independent variables (what you think explains it)
• Control variables (what you’re holding constant)

Step 3: Explain Your Econometric Model

Even if you’re doing descriptive statistics, explain the approach. If you’re running a regression, state the equation:

Yᵢ = β₀ + β₁X₁ᵢ + β₂X₂ᵢ + εᵢ

Where:

• Yᵢ is the dependent variable for observation i
• X₁ᵢ is your main independent variable
• X₂ᵢ is a control variable
• εᵢ is the error term

Explain why you chose this model. A Difference-in-Differences (DiD) approach? An Instrumental Variables (IV) strategy? A simple OLS regression? Justify your method.

Section 4: Results

This is where you present what you found.

How to Report Regression Results

APA style requires specific formatting for statistical reporting:

1. Use tables, not paragraphs, for regression output
2. No vertical lines in APA tables—only horizontal lines
3. Include column headers with variable names
4. Report coefficients, standard errors, and significance levels
5. Describe the table in the text before or after presenting it

APA Regression Table Example

Table 1. Impact of Minimum Wage Increases on Employment in the Retail Sector

Variable	Coefficient	Standard Error	t-statistic	Significance
Minimum Wage Increase	-0.023	0.008	-2.87	***
Regional Unemployment Rate	-0.412	0.156	-2.64	**
State GDP per Capita	0.031	0.012	2.58	*
Fixed Effects (State)	Yes
R-squared	0.78
Observations	520

Note: *** p < 0.01, ** p < 0.05, * p < 0.10. Robust standard errors clustered by state.

According to APA Style guidelines, “when possible, use a canonical, or standard, format for a table rather than inventing your own.”

The “Less is More” Rule

From Pomona College’s guide to writing economics papers:

“How many empirical results should be presented? Less is usually more. A common mistake made by virtually all novice researchers (including graduate students) is to report every regression specification that was run.”

Only report the results that answer your research question. Don’t report five tables of results when one table does the job.

Section 5: Discussion

This is where you interpret your results.

What the Discussion Section Should Include

• What your findings mean in economic terms
• How they compare to previous literature
• Why your results might differ from expectations
• What limitations your analysis has
• What policy implications exist (if relevant)

According to Harvard’s Writing Project, “the discussion is where you evaluate model limitations, discuss potential biases, and highlight economic significance—not statistical significance alone.”

Example Discussion Paragraph

“Our findings suggest that a 10% increase in the minimum wage is associated with a 2.3% decrease in retail employment in the sample. While this result falls within the range of estimates reported in prior studies (Card & Krueger, 1994; Neumark & Wascher, 2008), the effect appears larger in states with lower average incomes. This may reflect the binding nature of the minimum wage constraint in lower-income markets. However, we cannot draw conclusions about optimal wage structure, and the results should be interpreted as correlational rather than causal.”

Section 6: Conclusion

The conclusion summarizes what you did, restates your main findings, and suggests future research.

What the Conclusion Should Include

• A one-paragraph restatement of the research question and main result
• A brief note on the significance of the findings
• A suggestion for future research
• A policy or theoretical implication (if relevant)

What the Conclusion Should NOT Include

• New results you didn’t discuss earlier
• New literature citations
• Apologies for methodological limitations (save this for the discussion)
• Overly broad generalizations

Three Worked Examples

Example 1: Minimum Wage and Employment

Research Question: What is the impact of state-level minimum wage increases on retail sector employment?

Data: State-level panel data from the Bureau of Labor Statistics (2010-2023)

Method: Difference-in-Differences with state fixed effects

Structure:

1. Introduction: Open with the policy debate on minimum wage. State the research question. Summarize the DiD approach and main finding.
2. Literature Review: Summarize Card & Krueger (1994), Neumark & Wascher (2008), and more recent studies.
3. Data: Describe BLS data, sample size, variables (minimum wage levels, employment rates, state GDP).
4. Methodology: Present the DiD equation, explain the identification strategy.
5. Results: Report regression table showing the coefficient on minimum wage.
6. Discussion: Compare results to Card & Krueger. Discuss policy implications.
7. Conclusion: Restate findings. Suggest studying industry-level effects as future research.

Example 2: Healthcare Technology Adoption

Research Question: Why has slow adoption of improved clinical practices been documented in the healthcare industry?

Data: Hospital-level data from the Healthcare Cost and Utilization Network (HCUP)

Method: Regression with hospital fixed effects

Structure:

1. Introduction: Open with the puzzle of slow technology adoption in healthcare. State the research question. Summarize the approach.
2. Literature Review: Summarize literature on healthcare innovation and technology diffusion.
3. Data: Describe HCUP data, variables, sample coverage.
4. Methodology: Present regression model with hospital fixed effects.
5. Results: Report findings on adoption rates.
6. Discussion: Discuss barriers to adoption. Policy implications.
7. Conclusion: Summarize and suggest future research on telemedicine adoption.

Example 3: Remote Work and Urban Housing Prices

Research Question: How has the rise of remote work affected housing prices in major US cities?

Data: American Community Survey (ACS) housing data, Census Bureau migration data

Method: OLS regression with city and year fixed effects

Structure:

1. Introduction: Open with the remote work revolution post-2020. State the research question.
2. Literature Review: Summarize literature on urban economics, housing markets, and migration.
3. Data: Describe ACS and Census data. Variables: housing prices, remote work rates, migration flows.
4. Methodology: Present OLS equation with fixed effects.
5. Results: Report regression table showing relationship between remote work rates and housing prices.
6. Discussion: Discuss implications for urban policy. Limitations.
7. Conclusion: Summarize findings. Suggest studying smaller cities as future research.

Seven Common Mistakes Economics Students Make

1. Reporting Too Many Results

Mistake: Presenting every regression specification you ran.

Fix: Report only the results that answer your research question. As the Pomona guide says: “Report a small group of relevant results is better than covering every possible statistical analysis that could be made on the data.”

2. Weak or Unclear Research Question

Mistake: A vague question like “Does income inequality matter?”

Fix: A precise, testable question like “Does a 10% increase in income inequality at the state level affect voter turnout in presidential elections?”

3. Confusing Correlation with Causation

Mistake: Reporting that “A and B are correlated” without addressing whether A causes B.

Fix: Use an identification strategy (DiD, IV, natural experiment) that addresses causality. If you can’t identify causality, acknowledge the limitation honestly.

4. Ignoring Recent Literature

Mistake: Citing papers from 2010 or earlier as the primary literature.

Fix: Prioritize peer-reviewed papers from the last five years. Economics moves fast.

5. Missing the Economic Significance

Mistake: Reporting a statistically significant result without discussing its economic importance.

Fix: A coefficient of 0.01 might be statistically significant (p < 0.05) but economically trivial. Discuss the size of the effect, not just its significance.

6. Poor Table Formatting

Mistake: Using vertical lines, messy formatting, or unclear labels in regression tables.

Fix: Follow APA Style: horizontal lines only, clear column headers, consistent formatting. Use the apaTables package in R if running R.

7. Writing in a Conversational Style

Mistake: Using phrases like “I think this is interesting because…” or “In my opinion…”

Fix: Write objectively. Let the data speak. Use precise language. Avoid flowery hooks and narrative transitions.

How to Structure Your Economics Paper Outline

Use this template when you begin drafting:

1. Title: Be concise but descriptive.
   Example: "The Impact of Minimum Wage Increases on Employment in the Retail Sector: Evidence from Germany"

2. Abstract (150-250 words): Research question, methodology, key findings, policy implications.

3. Introduction (1-2 pages):
   - Paragraph 1: Motivation / puzzle / problem
   - Paragraph 2: Research question (clear, testable)
   - Paragraph 3: Contribution (how your paper adds to literature)
   - Paragraph 4: Roadmap

4. Literature Review (1-3 pages): Synthesize, don't list. Identify the gap.

5. Data and Variables (1-2 pages):
   - Data source
   - Time period
   - Sample size
   - Variable definitions

6. Empirical Strategy (1-2 pages):
   - Model specification (equation)
   - Justification for method choice
   - Identification strategy

7. Results (1-3 pages):
   - Descriptive statistics table
   - Main regression table
   - Robustness checks (optional)
   - Graphs or visualizations

8. Discussion (1-2 pages):
   - Interpret findings
   - Compare to literature
   - Address limitations
   - Policy implications

9. Conclusion (1 page):
   - Summary of findings
   - Policy relevance
   - Future research suggestions

10. References: APA or Chicago format

Quick Checklist: Before You Submit

• [ ] Research question is clear, testable, and specific
• [ ] Introduction uses the triangular method (BLUF)
• [ ] Literature review synthesizes recent research and identifies the gap
• [ ] Data sources are described in detail with URLs where possible
• [ ] Variables are clearly defined (dependent, independent, control)
• [ ] Empirical model is specified with the equation
• [ ] Results include properly formatted APA tables
• [ ] Discussion interprets results economically, not just statistically
• [ ] Conclusion summarizes without introducing new material
• [ ] References use APA or Chicago format consistently
• [ ] No vertical lines in tables
• [ ] No conversational or narrative language
• [ ] All claims are supported by data or cited literature

Related Guides

• How to Write a Research Paper: Step-by-Step Guide for Beginners
• How to Write a Literature Review: Step-by-Step Guide
• Research Paper Outline Template: Fill-in-the-Blank Structure
• Citation Styles Comparison Chart: APA vs MLA vs Chicago vs IEEE vs Harvard
• How to Write a Problem Statement for Research Proposals

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Summary and Next Steps

Writing a strong economics research paper requires mastering a specific structure: the triangular introduction, a synthesized literature review, a detailed methodology section with clear variable definitions, properly formatted regression tables, and a discussion that interprets results economically.

The single most important principle is clarity of analysis. Don’t bury your main finding. Don’t report every regression you ran. Don’t confuse correlation with causation.

What to do next:

1. Choose a specific, testable research question
2. Find data from the World Bank, Federal Reserve, or Census Bureau
3. Draft the introduction using the triangular method
4. Report results in properly formatted APA tables
5. Discuss what your findings mean for economic policy or theory

With practice, these conventions will become second nature—freeing you to focus on the analysis itself.