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Simple Diagnostics for Two-Way Fixed Effects

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Abstract

Difference-in-differences estimation is a widely used method of program evaluation. When treatment is implemented in different places at different times, researchers often use two-way fixed effects to control for location-specific and period-specific shocks. Such estimates can be severely biased when treatment effects change over time within treated units. I review the sources of this bias and propose several simple diagnostics for assessing its likely severity. I illustrate these tools through a case study of free primary education in Sub-Saharan Africa.

Suggested Citation

  • Pamela Jakiela, 2021. "Simple Diagnostics for Two-Way Fixed Effects," Department of Economics Working Papers 2021-05, Department of Economics, Williams College.
    • Handle: RePEc:wil:wileco:2021-06
    DOI: 10.36934/wecon:2021-06
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    1. Daniel A. Collier & Dan Fitzpatrick & Madison Dell & Samuel S. Snideman & Christopher R. Marsicano & Robert Kelchen & Kevin E. Wells, 2022. "We Want You Back: Uncovering the Effects on In-Person Instructional Operations in Fall 2020," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(5), pages 741-767, August.
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    More about this item

    Keywords

    difference-in-differences; program evaluation; heterogeneous treatment effects; World Development Indicators; free primary education;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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