On the Estimation of Treatment Effects with Endogenous Misreporting

Nguimkeu, Pierre; Denteh, Augustine; Tchernis, Rusty

doi:10.2139/ssrn.2832257

Cited by 3 publications

(11 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Measurement error in a binary variable is necessarily non-classical, so one cannot simply assume ̂1 to be biased toward zero (Kreider, 2010;Kreider et al, 2012;Nguimkeu et al, 2017).…”

Section: Econometric Analyses and Resultsmentioning

confidence: 99%

“…A growing literature documents the problems with relying on survey measures of program participation, which suffer from significant reporting error, when conducting impact evaluations (Meyer, Mok, and Sullivan, 2015;Mittag, 2016;Nguimkeu et al, 2017). Administrative data are ordinarily assumed to be the "gold standard" to overcoming these econometric challenges, but relatively little evidence exists on the potential problems with administrative records or econometric strategies to address them.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have documented the expected negative relationship between SNAP and food insecurity (Van Hook & Ballistreri, 2006;Nord & Prell, 2011;Schmidt et al, 2016), but others have found statistically insignificant or even positive associations (Gundersen & Oliveira, 2001;Hofferth, 2004;Huffman & Jensen, 2003;Wilde et al, 2005;Hoynes & Schanzenbach, 2015). SNAP is also often found to be positively correlated with obesity, but some studies find insignificant or negative effects (Meyerhoefer and Pylypchuk, 2008;Gundersen, 2015;Nguimkeu et al, 2017;Denteh, 2017).…”

mentioning

confidence: 99%

“…There 4 is a growing literature suggesting that the estimated effect of a misclassified binary explanatory variable (such as SNAP participation) may be substantially biased and may even yield "wrong signs" (Kreider, 2010;Kreider et al, 2012;Nguimkeu et al, 2017). Within a one-sided model of endogenous misreporting, Nguimkeu et al (2017) provide sign-switching results for the ordinary least squares (OLS) estimator even when participation is exogenous. In this case, they show that the OLS estimator yields the wrong sign if misreporting is endogenous, with the size of the signswitching region increasing with the rate of false negatives and decreasing with the true participation rate.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation

Courtemanche¹,

Denteh²,

Tchernis³

2018

Self Cite

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. Terms of use: Documents in

show abstract

“…Measurement error in a binary variable is necessarily non-classical, so one cannot simply assume ̂1 to be biased toward zero (Kreider, 2010;Kreider et al, 2012;Nguimkeu et al, 2017).…”

Section: Econometric Analyses and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation

Courtemanche¹,

Denteh²,

Tchernis³

2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…8 In our analysis we assume T i is correctly measured if it is observed. See Nguimkeu, Denteh, and Tchernis (2016) and Calvi, Lewbel, and Tommasi (2017) for the issues of mismeasured treatment. Their subject matters are distinct from ours.…”

mentioning

confidence: 99%

Identifying the effect of persuasion

Jun¹,

Lee²

2018

View full text Add to dashboard Cite

Abstract. We set up an econometric model of persuasion and study identification of key parameters under various scenarios of data availability. We find that a commonly used measure of persuasion does not estimate the persuasion rate of any population in general. We provide formal identification results, recommend several new parameters to estimate, and discuss their interpretation. We revisit two strands of the empirical literature on persuasion to show that the persuasive effect is highly heterogeneous and studies based on binary instruments provide limited information about the average persuasion rate in a heterogeneous population.

show abstract

Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation

Courtemanche¹,

Denteh

Tchernis

2019

Southern Economic Journal

Self Cite

View full text Add to dashboard Cite

Administrative data are considered the “gold standard” when measuring program participation, but little evidence exists on their potential problems or implications for econometric estimates. We explore these issues using the FoodAPS, a unique data set containing two different administrative measures of Supplemental Nutrition Assistance Program (SNAP) participation and a survey‐based measure. We document substantial ambiguity in the two administrative measures 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 explore sensitivity in regression estimates of the associations between SNAP and food insecurity, obesity, and the healthy eating index. The signs are unchanged across the three measures, and the estimates are mostly not statistically different from each other. However, there are some meaningful differences in the magnitudes and levels of statistical significance of the estimates.

show abstract

On the Estimation of Treatment Effects with Endogenous Misreporting

Cited by 3 publications

References 15 publications

Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation

Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation

Identifying the effect of persuasion

Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation

Contact Info

Product

Resources

About