Department of Economics
Andrew Young School of Policy Studies
P.O. Box 3992
Atlanta, GA 30302-3992
Institutional Affiliation: Georgia State University
NBER Working Papers and Publications
|March 2018||Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation|
with Charles J. Courtemanche, Rusty Tchernis: w24412
Administrative data are considered the “gold standard” when measuring program participation, but little evidence exists on the potential problems with administrative records or their implications for econometric estimates. We explore issues with administrative data using the FoodAPS, a unique dataset that contains two different administrative measures of Supplemental Nutrition Assistance Program (SNAP) participation as well as a survey-based measure. We first document substantial ambiguity in the two administrative participation variables and show that they disagree with each other almost as often as they disagree with self-reported participation. Estimated participation and misreporting rates can be meaningfully sensitive to choices made to resolve this ambiguity and disagreement. We then...
Published: Charles Courtemanche & Augustine Denteh & Rusty Tchernis, 2019. "Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 202-228, July. citation courtesy of
|December 2017||On the Estimation of Treatment Effects with Endogenous Misreporting|
with Pierre Nguimkeu, Rusty Tchernis: w24117
Participation in social programs is often misreported in survey data, complicating the estimation of the effects of those programs. In this paper, we propose a model to estimate treatment effects under endogenous participation and endogenous misreporting. We show that failure to account for endogenous misreporting can result in the estimate of the treatment effect having an opposite sign from the true effect. We present an expression for the asymptotic bias of both OLS and IV estimators and discuss the conditions under which sign reversal may occur. We provide a method for eliminating this bias when researchers have access to information related to both participation and misreporting. We establish the consistency and asymptotic normality of our estimator and assess its small sample perfor...
Published: Pierre Nguimkeu & Augustine Denteh & Rusty Tchernis, 2018. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, . citation courtesy of