This paper analyzes the wage non-response problem using the 2011 Current Population Survey. I find that the increasing wage non-response cannot be ignored, as including the imputed wages in a OLS regression leads to an imputation bias. In addition, the imperfect match criteria, such as not using union status to find a hot donor, is a main source of the imputation bias. I conclude that dropping the imputed values provides better estimates than simply including the imputed wage values in a wage equation
Abstract: Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the d...
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% ...
Key Words: Sample survey; labor statistics; donors; nearest neighbor imputation; ratio data The Bure...
Earnings nonresponse is currently about 30 % in the CPS-ORG and 20 % in the March CPS. Census impute...
Earnings nonresponse is currently about 30 % in the CPS-ORG and 20 % in the March CPS. Census impute...
Using data on annual individual labor income from three representative panel datasets (German SOEP, ...
"Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20%...
Non-response in establishment surveys is a very important problem that can bias results of statistic...
Non-response in establishment surveys is a very important problem that can bias results of statistic...
Nonresponse is a major problem often faced by social scientists when analysing survey data. A range ...
This article examines match bias arising from earnings imputation. Wage equation parameters are esti...
In this paper, the item nonresponse problem associated with wage data collected by telephone surveys...
Missing survey data occur because of unit and item non-response. This is practically independent of ...
In a rotating panel survey, individuals are interviewed in some waves of the survey but are not inte...
Abstract: Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the d...
Abstract: Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the d...
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% ...
Key Words: Sample survey; labor statistics; donors; nearest neighbor imputation; ratio data The Bure...
Earnings nonresponse is currently about 30 % in the CPS-ORG and 20 % in the March CPS. Census impute...
Earnings nonresponse is currently about 30 % in the CPS-ORG and 20 % in the March CPS. Census impute...
Using data on annual individual labor income from three representative panel datasets (German SOEP, ...
"Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20%...
Non-response in establishment surveys is a very important problem that can bias results of statistic...
Non-response in establishment surveys is a very important problem that can bias results of statistic...
Nonresponse is a major problem often faced by social scientists when analysing survey data. A range ...
This article examines match bias arising from earnings imputation. Wage equation parameters are esti...
In this paper, the item nonresponse problem associated with wage data collected by telephone surveys...
Missing survey data occur because of unit and item non-response. This is practically independent of ...
In a rotating panel survey, individuals are interviewed in some waves of the survey but are not inte...
Abstract: Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the d...
Abstract: Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the d...
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% ...
Key Words: Sample survey; labor statistics; donors; nearest neighbor imputation; ratio data The Bure...