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Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% in the annual March survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched in the earnings imputation hot deck. If nonresponse...
Persistent link: https://www.econbiz.de/10010278308
There is a large literature on earnings and income volatility in labor economics, household finance, and macroeconomics. One strand of that literature has studied whether individual earnings volatility has risen or fallen in the U.S. over the last several decades. There are strong disagreements...
Persistent link: https://www.econbiz.de/10013177734
We use a unique panel of household survey data - the Austrian version of the European Union Statistics on Income and Living Conditions (SILC) for 2008-2011 - which have been linked to individual administrative records on both state unemployment benefits and earnings. We assess the extent and...
Persistent link: https://www.econbiz.de/10013468441
To measure poverty, incomes must be equivalized across households with different structures. In this paper, we use a very flexible ordered response model to analyze the relationship be- tween income, demographic structure and subjective assessments of financial wellbeing drawn from the 1991-2008...
Persistent link: https://www.econbiz.de/10010288917
Persistent link: https://www.econbiz.de/10012632860
As many as two-thirds of newly-released inmates will be arrested for a new offense within three years. This study evaluates the impact of job assistance on recidivism rates among ex-offenders. The job assistance program, run though the private company America Works, uses a network of employers...
Persistent link: https://www.econbiz.de/10012497979
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% in the annual March survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched in the earnings imputation hot deck. If nonresponse...
Persistent link: https://www.econbiz.de/10013135391
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% in the annual March survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched in the earnings imputation hot deck. If nonresponse...
Persistent link: https://www.econbiz.de/10013135555
Despite evidence that skilled labor is increasingly concentrated in cities, whether regional wage inequality is predominantly due to differences in skill levels or returns is unknown. We compare Appalachia, with its wide mix of urban and rural areas, to other parts of the U.S., and find that...
Persistent link: https://www.econbiz.de/10013158517
Earnings nonresponse in household surveys is widespread, yet there is limited knowledge of how nonresponse biases earnings measures. We examine the consequences of nonresponse on earnings gaps and inequality using Current Population Survey individual records linked to administrative earnings...
Persistent link: https://www.econbiz.de/10012906992