The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one's data or a model estimated from the data. Under conditions that hold in a wide variety of econometric applications, the bootstrap provides approximations to distributions of statistics,...

This paper considers the specification and performance of jackknife estimators of the autoregressive coefficient in a model with a near-unit root. The limit distributions of sub-sample estimators that are used in the construction of the jackknife estimator are derived, and the joint moment...

In a field experiment, a large retail chain's CEO asked managers of treated stores “to do what they can” to reduce personnel turnover. Turnover decreases by a quarter for nine months; a reminder treatment triggers a similar decrease for a shorter period. Treated managers report shifting...

Most migration surveys do not ask about the legal status of migrants due to concerns about the sensitivity of this question. List randomization is a technique that has been used in a number of other social science applications to elicit sensitive information. This paper trials this technique by...

We take a new look at the resampled efficiency technique developed by Michaud (1998) and compare it with the Markowitz mean-variance portfolio construction technique by assessing the performance of three representative portfolios, i.e. the global minimum variance portfolio, the intermediate...

We introduce a new Stata program xtspj as a bias correction tool for nonlinear models with fixed effects. The correction removes the first-order bias term using the split-panel jackknife estimation technique introduced by Dhaene and Jochmans (2015). Both the jackknife of the parameter and the...