Showing 1 - 10 of 29
An individual's human capital has a strong influence on earnings. Yet individual, worker-level estimations of earnings rarely include the characteristics of co-workers or detailed firm-level controls. In this paper, we use a unique matched workerworkplace dataset to estimate the effect on own...
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This paper provides a general formulation of the regression discontinuity (RD) design and applies this method to analyse the effects of the 1995 UK pill scare. We show that in the five months following a health warning on the "third generation" pill, conception rates rose by more than 7%,...
Persistent link: https://www.econbiz.de/10009159234
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Using the UK Labour Force Survey, we study wage gaps for disabled men after the introduction of the Disability Discrimination Act. We estimate wage gaps at the mean and at different quantiles of the wage distribution, and decompose them into the part explained by differences in workers? and job...
Persistent link: https://www.econbiz.de/10003990767
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Using data from the British Household Panel Survey (BHPS) we show performance pay (PP) increased earnings dispersion among men and women, and to a lesser extent among full-time working women, in the decade of economic growth which ended with the recession of 2008. PP was also associated with...
Persistent link: https://www.econbiz.de/10010515869
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This paper constructs and quantitatively assesses an equilibrium search model with on-the- job search and general human capital accumulation. In the model workers differ in their innate abilities and firms in their productivities. Wages are dispersed because of search frictions and workers'...
Persistent link: https://www.econbiz.de/10009661663
In 2002, the United Kingdom implemented the EU directive mandating equal treatment of fixed-term and permanent workers. This paper uses eleven years of data from the Labour Force Survey to assess whether the new legislation has led to a decrease in the average wage gap between fixed-term and...
Persistent link: https://www.econbiz.de/10010356700