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.

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 panelattrition (UNR), as predicted by the theory of a latent cooperation continuum, or is theinterrelation of another type? Second, are the results in models of item nonresponse behavioraffected by a selectivity...

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...

The ERS Eating and Health Module, a supplement to the American Time Use Survey (ATUS), included questions on height and weight so that respondents’ Body Mass Index (BMI—a measure of body fat based on height and weight) could be calculated and analyzed with ATUS time-use data in obesity...

Microeconomic surveys are usually subject to the problem of item nonresponse, typically associated with variables like income and wealth, where confidentiality and/or lack of accurate information can affect the response behavior of the individual. Follow up categorical questions can reduce item...

Household surveys are often plagued by item non-response on economic variables of interest like income, savings or the amount of wealth. Manski (1989,1994, 1995) shows how, in the presence of such non-response, bounds on conditional quantiles of the variable of interest can be derived, allowing...

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...