A new method in two variations for the identification of most relevant covariates in linear models with homoscedastic errors is proposed. In contrast to many known selection criteria, the method is based on an interpretable scaled quantity. This quantity measures a maximal relative error one...

A new method for testing linear restrictions in linear regression models is suggested. It allows to validate the linear restriction, up to a specified approximation error and with a specified error probability. The test relies on asymptotic normality of the test statistic, and therefore...

We relax the moment conditions from a result in almost sure limit theory for U-statistics due to Berkes and Csaki [(Stochastic Process. Appl. 94 (2001) 105)]. We extend this result to the case of convergence to stable laws and also prove a functional version.

A new method for testing linear restrictions in linear regression models is suggested. It allows to validate the linear restriction, up to a specified approximation error and with a specified error probability. The test relies on asymptotic normality of the test statistic, and therefore...

The objective of this article is twofold. First, it is to study the applicability of the widely used Autoregressive Distributed Lag Model (ARDL) in a pooled data setting. Second, it is to analyse Chile's market shares in the EU during the period 1988 to 2002, pointing to application problems...

Since early 2008 interim trade agreements between the EU and six regions of ACP countries (respectively sub-groups within the region) are in force. These agreements could be stepping stones towards full Economic Partnership Agreements between the EU and all ACP countries. We estimate the welfare...

This paper examines the causal impact of diagnostic efficiency on the COVID-19 pandemic in China. Using an instrumental variable approach, we show that a 1-day decrease in the time taken to confirm the first case in a city publicly led to 9.4% and 12.7% reductions in COVID-19 prevalence and...

Evidence from randomized controlled trials suggests that interventions relying on community involvement through a participatory learning and action (PLA) approach can improve health outcomes in resource-poor settings. However, whether PLA-based interventions remain effective after scale-up is...

This study investigates whether eligibility for antiretroviral therapy (ART) of HIV positive parents improved their children's educational attainment in KwaZulu-Natal, South Africa, employing a regression discontinuity design. We find that there is a positive impact of ART eligibility on...