Sample attrition is a potential source of selection bias in experimental as well as non-experimental programme evaluation. For labour market outcomes such as employment status and earnings, missing data problems caused by attrition can be circumvented by collection of follow-up data from...

This paper combines survey and register data from a Norwegian randomized field trial to evaluate the performance of parametric and semi-parametric sample selection estimators commonly used to correct for attrition bias.

We formulate a econometric framework for studying treatment effects on discrete outcomes when the treatment effects are heterogeneous and the unobserved heterogeneity is given by a factor structure. Within this framework, we show how to define and semiparametrically estimate the average...

In a large representative sample of young Norwegian workers, we estimate gross transitions to unemployment, education, and other exits in a multinomial logit. In line, with received literature, we find that individuals with high education, experience, and income have significantly lower...

In this paper we evaluate a Norwegian vocational rehabilitation program by comparing employment outcomes of trainees and nonparticipants using nonexperimental data. A matching estimator is used to calculate the training effect for different subgroups of the sample. We demonstrate how bounding...

In this paper we evaluate the effectiveness of educational programs used as an employment strategy for diabled workers in Norway. To obtain these estimates we follow the employment career of a sample of participants in educational programs and nonparticipants three years after they had left the...

In this paper, we attempt to develop an intertemporal model of rural-to-urban migration in the context of a poor rural economy. With a peasant household as the decision making unit we explore how rural-to-urban migration may be adopted as a strategy mto cope with the income risks arising from...

In this paper we evaluate a Norwegian vocational rehabilitation program by comparing employment outcomes of trainees and nonparticipants using nonexperimental data. A matching estimator based on the propensity score is used to calculate the training effect for different subgroups of the sample.