Research paper checklist

Guidelines and tips for papers

  • A research paper is not an essay!

    • Personal opinions don’t have a place

    • Sources should be primarily academic (peer-reviewed journals, working papers, etc.), maybe some non-academic sources for motivation only

    • Divide your paper into labeled sections

  • Present tense when describing what people find and what you find.

  • First-person active voice! (I estimate a regression, NOT “A regression is estimated”)

    • Single-authored paper first person singular, “I.” (You’re not the queen!)

    • Joint-authored paper first person plural, “we.”

    • Don’t believe me? Check out any economics paper published in the past 20 years. There’s some variation in I vs. we, but all use active voice.

Abstract & Title

  • Descriptive title included

  • 200 words or less abstract

Introduction

  • States your research question clearly

  • Explains what economic theory says about the potential answers to your questions, and/or defines clear hypotheses that you test

  • Describes why your topic is important

  • Describes what you do

  • Describes what you find

  • Describe how it contributes

  • Reader can infer all main points of paper just from introduction

Motivation/Literature Review

  • At the back of your mind, when motivating your paper, ask “what is the link to economics”?

    • If studying discrimination, what does economic theory tell us about why discrimination exists/persists

    • If studying stock market returns, what do economic models tell us about our ability to predict returns?

  • Includes papers that have answered your research question (or similar research question)

  • Research results described in present tense (“Smith finds,” not “Smith found”)

  • Papers linked clearly to their contribution (as relates to your research question)

Methodology, data, and empirical specification

  • Data source described and cited

  • Population model written out (you can use the Equation Editor in Word)

    • Use proper equation notation (betas, u, etc)

    • Use appropriate subscripts (i, t, y, etc)

    • All relevant variables explained/defined

    • Use “real names” to describe variables when possible (ie use female for women, not w1)

    • Don’t forget the error term!

  • Describe your methodology. Are you estimating a model using OLS? If so, say so.

  • Correct standard errors: robust? Clustered? Something else?

Please enjoy this empirical specification handout!

Results

  • When using categorical/dummy variables, what is your omitted category? Make sure you know and that it’s clear.

  • What are the units of your measures?

    • Is that percent or percentage points?
  • In most contexts, about 3 places past the decimal point is right, but it depends on the magnitudes. If you really want to be precise, set and stick to a reasonable number of significant digits. There’s no place for a number like 0.05403823 or 0.0000000 in your tables.

Tables and Figures

  • Tables should be properly formatted. That is, they should be made in Excel (or LaTeX) and NEVER copied and pasted out of Stata

  • Variables should be described using real words. Ie, “number of children,” not “numchld.”

  • Tables and figures should be numbered (Table 1, Table 2, etc… Figure 1, Figure 2, etc.) and should also be given a title. Refer to tables by their numbers in the text.

References

  • Use footnotes rather than endnotes

  • At the end of your paper, include list of references cited

  • You can format using APA, MLA, or Chicago style

    • Citation Owl or Google Scholar will do it for you
  • In-text, cite with author and year (Author, Year; Author, Year) or (Author Year, Author Year)

Working with data

If you’re working with people

  • What is the age range you want in your sample?

  • What years of data do you need?

  • If in the US, do you want citizens, or do you also want to include immigrants?

  • If dealing with labor force variables, do you want all people of working age, all those who are in the labor force, or all who are employed?