In the present study, we consider the problem of missing and extreme values for the estimation of population variance. The presence of extreme values either in the study variable, or the auxiliary variable, or in both of them, can adversely affect the performance of the estimation procedure. We...

Cryptocurrency blockchain data encounter a class-imbalance problem due to only a few known labels of illicit or fraudulent activities in the blockchain network. For this purpose, we seek to compare various resampling methods applied to two highly imbalanced datasets derived from the blockchain...

This paper investigates how data requirements often encountered in archival accounting research can produce a data-restricted sample that is a non-random selection of observations from the reference sample to which the researcher wishes to generalize results. We illustrate the effects of...

We study how different forms of communication influence inflation expectations in a randomized controlled trial using nearly 20,000 U.S. individuals. We elicit individuals' inflation expectations in the Nielsen Homescan panel and then provide eight different forms of information regarding...

The slow adoption of new agricultural technologies is an important factor in explaining persistent productivity deficits among smallholders in Sub-Saharan Africa (SSA). Farmers delay in particular the uptake of technology packages. Since knowledge constraints are an important barrier to...

In this research, we propose the bootstrap procedure as a method for train/test splitting in machine learning algorithms for classification. We show that this resampling method can be a reliable alternative to cross validation and repeated random test/train splitting algorithms. The bootstrap...

In an RCT, a large retail chain’s CEO sets new goals for the managers of the treated stores by asking them “to do what they can” to reduce the employee quit rate. The treatment decreases the quit rate by a fifth to a quarter, lasting nine months before petering out, but reappearing after a...

We develop inference procedures robust to general forms of weak dependence. The procedures use test statistics constructed by resampling data in a manner that does not depend on the unknown correlation structure of the data. We prove that the statistics are asymptotically normal under the weak...

We study how different forms of communication influence the inflation expectations of individuals in a randomized controlled trial. We first solicit individuals’ inflation expectations in the Nielsen Homescan panel and then provide eight different forms of information regarding inflation....

We study how different forms of communication influence the inflation expectations of individuals in a randomized controlled trial. We first solicit individuals' inflation expectations in the Nielsen Homescan panel and then provide eight different forms of information regarding inflation....

We study how different forms of communication influence inflation expectations in a randomized controlled trial using nearly 20,000 U.S. individuals. We elicit individuals' inflation expectations in the Nielsen Homescan panel then provide eight different forms of information regarding inflation....

We study how different forms of communication influence the inflation expectations of individuals in a randomized controlled trial. We first solicit individuals' inflation expectations in the Nielsen Homescan panel and then provide eight different forms of information regarding inflation....

We study how different forms of communication influence the inflation expectations of individuals in a randomized controlled trial. We first solicit individuals' inflation expectations in the Nielsen Homescan panel and then provide eight different forms of information regarding inflation....

The slow adoption of new agricultural technologies is an important factor in explaining persistent productivity deficits among smallholders in Sub-Saharan Africa (SSA). Farmers delay in particular the uptake of technology packages. Since knowledge constraints are an important barrier to...

This paper presents the first analysis of the life course outcomes through late midlife (around age 55) for the participants of the iconic Perry Preschool Project, an experimental high-quality preschool program for disadvantaged African-American children in the 1960s. We discuss the design of...

This article introduces and investigates the properties of a new bootstrap method for time-series data, the kernel block bootstrap. The bootstrap method, although akin to, offers an improvement over the tapered block bootstrap of Paparoditis and Politis (2001), admitting kernels with unbounded...

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,...

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...

This article introduces and investigates the properties of a new bootstrap method for time-series data, the kernel block bootstrap. The bootstrap method, although akin to, offers an improvement over the tapered block bootstrap of Paparoditis and Politis (2001), admitting kernels with unbounded...

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...

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...

There has been a recent interest in reporting p-values adjusted for resampling-based stepdown multiple testing procedures proposed in Romano and Wolf (2005a,b). The original papers only describe how to carry out multiple testing at a fixed significance level. Computing adjusted p-values instead...

In stratified sampling there are designs with one unit selected per stratum or when one is willing to make estimations on unplanned domains with one unit in some strata. In these cases the variance is generally estimated by the collapsed strata method, which requires identification of the strata...

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...

There has been a recent interest in reporting p-values adjusted for resampling-based stepdown multiple testing procedures proposed in Romano and Wolf (2005a,b). The original papers only describe how to carry out multiple testing at a fixed significance level. Computing adjusted p-values instead...

In stratified sampling there are designs with one unit selected per stratum or when one is willing to make estimations on unplanned domains with one unit in some strata. In these cases the variance is generally estimated by the collapsed strata method, which requires identification of the strata...