In many cases assignment to a treatment may affect concomitant variables. I show how a concomitant variable can be used to corroborate evidence from an observational study. In the observational study two types of training programs are compared. One program is part of regular Swedish labor market...

In the last years, sustainable travels have included bike tourists visiting cities to enjoy cultural and urban environments. Yet, when considering cycling tourists’ intra-destination trips by motorized vehicles, the extent of greenhouse gas (GHG) emissions could reduce the sustainability...

Using both register and survey data, two types of labour market training programs are compared. One program is part of the regular Swedish labour market training and the other, Swit, was initiated as an experiment during a two-year period, in an attempt to solve a bottleneck problem with people...

This paper proposes an application of standard evaluation techniques to obtain an early indication of the efficiency of a social program. An explicit distinction is made between participation and treatment since non-participants in many cases can find treatment outside of the program. By...

There is growing interest in discrete-choice experiment (DCE) as a method to elicit consumers' preferences in the health care sector. Increasingly this method is used to determine willingness to pay (WTP) for health-related goods. However, its external validity in the health care domain has not...

The matching method for treatment evaluation does not balance selective unobserved differences between treated and non-treated. We derive a simple correction term if there is an instrument that shifts the treatment probability to zero in specific cases. Policies with eligibility restrictions,...

Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...

The credibility of standard instrumental variables assumptions is often under dispute. This paper imposes weak monotonicity in order to gain information on counterfactual outcomes, but avoids independence or exclusion restrictions. The outcome process is assumed to be sequentially ordered,...

This paper deals with the identification of treatment effects when the outcome variable is ordered. If outcomes are measured ordinally, previously developed methods to investigate the impact of an endogenous binary regressor on average outcomes cannot be applied as the expectation of an ordered...

This paper explores semi-monotonicity constraints in the distribution of potential outcomes, first, conditional on an instrument, and second, in terms of the response function. The imposed assumptions are strictly weaker than traditional instrumental variables assumptions and can be gainfully...