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We highlight the importance of randomisation bias, a situation where the process of participation in a social experiment has been affected by randomisation per se. We illustrate how this has happened in the case of the UK Employment Retention and Advancement (ERA) experiment, in which over one...
Persistent link: https://www.econbiz.de/10009769298
One of the most powerful critiques of the use of randomised experiments in the social sciences is the possibility that individuals might react to the randomisation itself, thereby rendering the causal inference from the experiment irrelevant for policy purposes. In this paper we set out a...
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We consider the identification and estimation of the average wage return to attaining educational qualifications when attainment is potentially measured with error. By exploiting two independent measures of qualifications, we identify the extent of misclassification in administrative and...
Persistent link: https://www.econbiz.de/10010785284
A significant gap exists in the UK between the employment rate for Ethnic Minorities and that for Whites. From a policy perspective, it is important to know whether this gap is due to differences in the characteristics of White and Ethnic Minority groups (which reduce the employability of Ethnic...
Persistent link: https://www.econbiz.de/10005667048
We investigate the presence of short- and long-term effects from joining a Swedish labor market program vis-à-vis more intense job search in open unemployment. Overall, the impact of the program system is found to have been mixed. Joining a program has increased employment rates among...
Persistent link: https://www.econbiz.de/10005815868
The differential performance of six Swedish active labour market programs for the unemployed is investigated in terms of short- and long-term employment probability and un-employment-benefit dependency. Both relative to one another and compared to more intense job search, the central finding is...
Persistent link: https://www.econbiz.de/10005173033
We study the impact of misreported treatment status on the estimation of causal treatment effects, focusing on applications where no additional information or repeated measurements are available. We first characterize the bias introduced by misclassification on the average treatment effect on...
Persistent link: https://www.econbiz.de/10009150852
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