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Working Paper
Family Job Search and Wealth: The Added Worker Effect Revisited
We propose and estimate a model of family job search and wealth accumulation with data from the Survey of Income and Program Participation (SIPP). This dataset reveals a very asymmetric labor market for household members who share that their job finding is stimulated by their partners' job separation. We uncover a job search-theoretic basis for this added worker effect, which occurs mainly during economic downturns, but also by increased non-employment transfers. Thus, our analysis shows that the policy goal of in-creasing non-employment transfers to support a worker's job search is partially ...
Working Paper
Sample Bias Related to Household Role
This paper develops a two-stage statistical analysis to identify and assess the effect of a sample bias associated with an individual's household role. Survey responses to questions about the respondent's role in household finances and a sampling design in which some households have all members take the survey enable the estimation of distributions for each individual's share of household responsibility. The methodology is applied to the 2017 Survey of Consumer Payment Choice. The distribution of responsibility shares among survey respondents suggests that the sampling procedure favors ...
Working Paper
Family Job Search and Wealth: The Added Worker Effect Revisited
We develop and estimate a model of family job search and wealth accumulation. Individuals' job finding and job separations depend on their partners' job turnover and wages as well as common wealth. We fit this model to data from the Survey of Income and Program Participation (SIPP). This dataset reveals a very asymmetric labor market for household members, who share that their job finding is stimulated by their partners' job separation, particularly during economic downturns. We uncover a job search-theoretic basis for this added worker effect and find that this effect is stronger with more ...
Report
Identifying and evaluating sample selection bias in consumer payment surveys
Making meaningful inferences based on survey data depends on the ability to recognize and adjust for discrepancies between the survey respondents and the target population; this partly involves understanding how survey samples differ with respect to heterogeneous clusters of the population. Ex post adjustments for unbiased population parameter estimates are usually based on easily measured variables with known distributions in the target population, like age, gender, or income. This paper focuses on identifying and assessing the effect of an overlooked source of heterogeneity and potential ...