In this paper, we examine whether adult education delays retirement and increases labour force participation among the elderly, a mechanism suggested in the OECD strategy for 'active ageing' and the 'Lisbon strategy' of the EU. Using register data from Sweden, we analyse transcripts from adult...

To our knowledge, this paper provides the first study evaluating the effects of higher education for adults on the timing of retirement. Using detailed longitudinal population register data 1982-2010, we track first-time enrollees in higher education in 1992-1993. Our sample is aged 42-55 at the...

Training programs for the unemployed typically involve teaching a specific skill to ease the transition into employment. However, in 1997, the Swedish unemployed could choose general/theoretical training through enrollment in one year of full-time studies at the upper secondary school level....

Training programs for the unemployed typically involve teaching specific skills in demand amongst employers. In 1997, Swedish unemployed could also choose general training at the upper secondary school level. Despite the dominance of programs offering specific training, long-term relative...

Most OECD countries experience high unemployment rates and declining growth in higher educational attainment. An often suggested government policy is therefore to allocate resources towards formal schooling for adults. However, returns on such investments are uncertain and the foregone earnings...

Training programs for the unemployed typically involve training specific skills in demand amongst employers. In 1997, Swedish unemployed could also choose general schooling at the upper secondary level. This offers a unique opportunity to assess the theoretically ambiguous long-term relative...

Abadie and Imbens (2008, Econometrica) showed that classical bootstrap schemes fail to provide correct inference for K-nearest neighbour (KNN) matching estimators of average causal effects. This is an interesting result showing that bootstrap should not be applied without theoretical...

In observational studies, the estimation of a treatment effect on an outcome of interest is often done by controlling on a set of pre-treatment characteristics (covariates). This yields an unbiased estimator of the treatment effect when the assumption of unconfoundedness holds, that is, there...

Truncation or censoring of the response variable in a regression model is a problem in many applications, e.g. when the response is insurance claims or the durations of unemployment spells. We introduce a local polynomial regression estimator which can deal with such truncated or censored...

Proxy variables are often used in linear regression models with the aim of removing potential confounding bias. In this paper we formalise proxy variables within the potential outcome framework, giving conditions under which it can be shown that causal effects are nonparametrically identified....