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

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When last checked on November 6, 2018, this study was forthcoming in the journal Review of Economics and Statistics.


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 forthcoming - - 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 - failed (different results) 1 - somewhat available but insufficient to replicate final dataset 1 - yes -

References

DOI: 10.1162/rest_a_00769 IDEAS: p/nbr/nberwo/21248.html EconPapers: RePEc:nbr:nberwo:21248


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