In this paper, we propose a model-free bootstrap method for the empirical process under absolute regularity. More precisely, consistency of an adapted version of the so-called dependent wild bootstrap, that was introduced by Shao (2010) and is very easy to implement, is proved under minimal...

In this paper, we propose a model-free bootstrap method for the empirical process under absolute regularity. More precisely, consistency of an adapted version of the so-called dependent wild bootstrap, that was introduced by Shao (2010) and is very easy to implement, is proved under minimal...

This paper provides extensions of the work on subsampling by Bertail et al. (2004) for strongly mixing case to weakly dependent case by application of the results of Doukhan and Louhichi (1999). We investigate properties of smooth and rough subsampling estimators for distributions of converging...

In this paper, we propose a model-free bootstrap method for the empirical process under absolute regularity. More precisely, consistency of an adapted version of the so-called dependent wild bootstrap, that was introduced by Shao (2010) and is very easy to implement, is proved under minimal...

This paper reports the results from a randomized experiment designed to evaluate the direct and indirect (displacement) impacts of job placement assistance on the labor market outcomes of young, educated job seekers in France. We use a two-step design. In the first step, the proportions of job...

This paper deals with the protest bids issue in choice experiments. In the context of the Water Framework Directive, we examined local residents’ preferences for water quality improvements at a specific river basin in France. We used the choice experiment method with site-specific attributes...

We show that the welfare costs of business cycles in a monetary union can be higher under incomplete financial markets than under complete markets. A monetary union with home bias, sticky prices and country-specific shocks is a second-best environment in which the structure of financial markets...

Since the late 90s, regression discontinuity designs have been widely used to estimate local treatment effects. When the running variable is observed with continuous errors, identification fails even if the dispersion of measurement errors is small. Assuming non-differential measurement errors,...