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IS IT EASIER TO ESCAPE FROM LOW PAY IN URBAN AREAS? EVIDENCE FROM THE UK AgEcon
Phimister, Euan; Theodossiou, Ioannis; Upward, Richard.
In this paper we compare periods of low pay employment between rural and urban areas in the UK. Using the British Household Panel Survey, we estimate the probability that a period of low pay employment will end allowing for a number of possible outcomes, namely to a "high pay" job, self-employment, unemployment and out of the labour force. The results show that there are statistically significant differences in the dynamics of low pay across urban and rural labour markets, particularly in terms of exits to high pay and out of the labour force. After controlling for different personal and job characteristics across markets, rural low pay durations are slightly longer on average, with a lower probability that rural workers will move to high pay....
Tipo: Working or Discussion Paper Palavras-chave: Labor and Human Capital.
Ano: 2004 URL: http://purl.umn.edu/31790
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Practical fixed-effects estimation methods for the three-way error-components model AgEcon
Andrews, Martyn; Schank, Thorsten; Upward, Richard.
Methods for fixed-effects estimation of the three-way error-components model are not yet standard. Where possible, we make the fixed-effects methods originally developed by Abowd, Kramarz, and Margolis (Econometrica 67: 251–333) for linked worker-firm data more accessible. We also show how these methods can be implemented in Stata. There is a caveat, however. If the researcher wants to recover estimates of the error components themselves, and the number of units at the higher level of aggregation is large, memory or matrix constraints may make using Stata to estimate the components themselves infeasible.
Tipo: Article Palavras-chave: Grouping; Linked employer–employee panel data; Fixed effects; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/119239
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