Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data (REStat 2019)

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Contents

Article

Authors Title Journal Year Edition Pages JEL Codes Keywords
Melvin Stephens Jr., Takashi Unayama Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data REStat 2019 3 468-75 C80, E21, H53, H55 -

Article information

Program code Data Readme Method(s) & estimation Data type Data used Origin of data used Software used (Version)
- - - Ordinary least squares (OLS), Two-stage least squares (2SLS), Instrumental variable (IV), Inverse propensity score weighting (IPW), Probit, Clustering - US Consumer Price Index (CPI), Japanese Family Income and Expenditure Survey (JFIES), monthly 1992-2009 USA, Japan -

This article is a replication of

Authors Title Journal Year Edition Pages JEL Codes Keywords Replication type Replication result [refer to replication type 1 and 2] Raw data Call into question Authors statement
Gary V. Engelhardt, Jonathan Gruber, Cynthia D. Perry Social Security and Elderly Living Arrangements: Evidence from the Social Security Notch JHR 2005 2 354-72 - - 4 - (new methods & data) 2 - different results 1 - somewhat available but insufficient to replicate final dataset 1 - yes -

References

DOI: 10.1162/rest_a_00769 IDEAS: a/tpr/restat/v101y2019i3p468-475.html EconPapers: RePEc:tpr:restat:v:101:y:2019:i:3:p:468-475


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