When Do Covariates Matter? And Which Ones, and How Much?

By Jonah B. Gelbach. Journal of Labor Economics, 2016

514 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/579e6371d32d4d3c28744a0033051f627cd5155d

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Citations in the corpus

Understanding Tax Policy: How Do People Reason? (2020, background): “Second, a Gelbach decomposition of policy views (Gelbach, 2016) shows that factors related to social preferences are critically important.”
Poorly Measured Confounders are More Useful on the Left than on the Right (2017, background): “The calculations at the bottom of the table based on equation (11) also confirm that mother’s education might potentially pick up variation due to an important confounder.”
Teacher Expectations Matter (2016, unknown): “17This large drop does not depend on the order in which GPA and additional control variables are added, helping to alleviating concerns discussed in Gelbach (2016).”
Investigating the Gender Gap in Agricultural Productivity: Evidence from Uganda (2015, background): “Gelbach (2009), however, shows that the change in the coefficient on the gender indicator depends on the order in which the covariates are introduced and that estimates from this procedure are, in that sense, path dependent.”
Food Deserts and the Causes of Nutritional Inequality* (2019, methodology): “We use the approach of Gelbach (2016), which is to think of covariates X1it as potentially “omitted variables” in the relationship between income and healthy grocery demand and calculate the “omitted variables bias” from excluding each specific covariate.”
Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications (2015, unknown): “Another assesses if the best fitting model among a class of models fits better than expected by chance 2 Gelbach (2016) has an interesting critique of how the multiple-columns are commonly interpreted, explaining how the order in which covariates are added can influence their apparent relative…”
Unobservable Selection and Coefficient Stability: Theory and Evidence (2019, background): “A number of methodological articles consider the approach of varying the covariate set as a sensitivity analysis (Heckman and Hotz 1989; Dehejia and Wahba 1999; Gelbach 2016).”