This paper investigates how to test for nonresponse selection bias in wage functions induced by missing income information. We suggest an "easy-to-implement" approach which requires information on interviewer IDs and the interview date rather than hard to get interviewer characteristics.

This paper investigates how to test and correct for nonresponse selection bias induced by missing income information when estimating wage functions. The novelty is to use the variation in interviewer-specific response rates as exclusion restriction within the framework of a sample selection model.

The paper addresses two questions. First, is item nonresponse (INR) a precursor of panel attrition (UNR), as predicted by the theory of a latent cooperation continuum, or is the interrelation of another type? Second, are the results in models of item nonresponse behavior affected by a...

We develop and estimate a panel data model explaining the answers to questions about subjective probabilities, using data from the US Health and Retirement Study. We explicitly account for nonresponse, rounding, and focal point 50 percent answers. Our results indicate that for three of the four...

This paper uses microdata from the Reserve Bank of New Zealand's Household Inflation Expectations survey to obtain an accurate read of households' true inflation expectations by studying how different demographic groups respond (or do not respond) to the inflation expectations question in the...

The paper addresses two questions. First, is item nonresponse (INR) a precursor of panel attrition (UNR), as predicted by the theory of a latent cooperation continuum, or is the interrelation of another type? Second, are the results in models of item nonresponse behavior affected by a...