In a travel mode choice context, we use survey data to construct and test the significance of five individual specific latent variables - environmental preferences, safety, comfort, convenience and flexibility - postulated to be important for modal choice. Whereas the construction of the safety...

Using a unique micro panel data set we investigate whether active labor market programs improve employment prospects and increase mobility in the longer run. We consider two prototype programs: job creation programs and training programs. We find that both programs reduce the chances of finding...

This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that, without additional assumptions, it is not possible to estimate the average treatment effect and treatment on the treated. It is, however,...

We give general conditions for the data generating process to facilitate the testing of structural dependence of turnover on the average (or median) price in the homogenous housing market. Furthermore, the implications of aggregation over sub-markets is studied. A plausible explanation of the...

We evaluate an immigrant workplace introduction program aimed at helping individuals considered employable but at the same time expected to experience substantial difficulties in finding work. Using supported employment methods, the SIN program may influence outcomes through several channels. We...

Most research on count data regression models, i.e. models for there the dependent variable takes only non-negative integer values or count values, has focused on the univariate case. Very little attention has been given to joint modeling of two or more counts. We propose parametric regression...

We utilize a large-scale randomized social experiment to identify how coworkers affect each other's effort as measured by work absence. The experiment altered the work absence incentives for half of all employees living in Göteborg, Sweden. Using administrative data we are able to recover the...

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...

During the last decade several empirical studies have stressed the importance of norms and social interactions for explaining sickness absence behavior. In this context public discussions about the intentions of the insurance, and of the rights and duties of the receivers, may be important for...

We test if social work norms are important for work absence due to self-perceived sick-ness. To this end, we use a randomized social experiment designed to estimate the effect of monitoring on work absence. The treated were exposed to less monitoring of their eligibility to use sickness...