We consider the estimation of nonlinear models with mismeasured explanatory variables, when information on the marginal distribution of the true values of these variables is available. We derive a semi-parametric MLE that is shown to be consistent and asymptotically normally distributed. In a...

This paper examines the incentive effects caused by the interactions between unemployment insurance (UI) and sickness insurance (SI), two important components of Sweden's social insurance system. There are two main topics of interest: how the sickness report rate and the length of the subsequent...

This paper looks at a specific type of moral hazard that arises in the interplay between two large public insurance systems in Sweden, namely the sickness insurance (SI) and the unemployment insurance (UI). Moral hazard can arise from the benefit size structure as for some unemployed persons,...

This paper examines the incentive effects caused by the interactions between unemployment insurance (UI) and sickness insurance (SI), two important components of Sweden's social insurance system. There are two main topics of interest: how the sickness report rate and the length of the subsequent...

This paper evaluates two Swedish active labour market programmes for youth, namely youth practice and labour market training. A non-parametric matching approach is applied to estimate the average program effects. Moreover, the results obtained by matching are compared to results from standard...

Consider an observed binary regressor D and an unobserved binary variable D*, both of which affect some other variable Y. This paper considers nonparametric identification and estimation of the effect of D on Y , conditioning on D* = 0. For example, suppose Y is a person's wage, the unobserved D...

How do people learn? We assess, in a distribution-free manner, subjects' learning and choice rules in dynamic two-armed bandit (probabilistic reversal learning) experiments. To aid in identification and estimation, we use auxiliary measures of subjects' beliefs, in the form of their...

Using recent results in the measurement error literature, we show that the official U.S. unemployment rates substantially underestimate the true levels of unemployment, due to misclassification errors in labor force status in Current Population Surveys. Our closed-form identification of the...

Surveys are an important tool in economics and in the social sciences more broadly. However, methods used to analyse ordinal survey data (e.g., ordered probit) rely on strong and often unjustified distributional assumptions. In this paper, we propose using survey response times to solve that...

Surveys that measure subjective states like happiness or preferences often generate discrete ordinal data. Ordered response models, which are commonly used to analyze such data, suffer from a fundamental identification problem. Their conclusions depend on unjustified assumptions about the...