Abstract Machine learning algorithms have come to dominate several industries. After
decades of resistance from examiners and auditors, machine learning is now moving from …

Regional attempts to reduce pollution levels emerging from the European Union (EU)
relative to 2010 are contrasted with unique policies of individual member countries' aims to …

This paper quantifies and aggregates the multiple lifetime benefits of an influential high-
quality early-childhood program with outcomes measured through midlife. Guided by …

This paper quantifies and aggregates the multiple lifetime benefits of an influential high-
quality early childhood program with outcomes measured through midlife. Guided by …

We use a dynamic panel data model to generate density forecasts for daily active Covid-19
infections for a panel of countries/regions. Our specification that assumes the growth rate of …

In this article, we introduce a new community-contributed command called xtbunitroot, which
implements the panel-data unit-root tests developed by Karavias and Tzavalis (2014 …

We zero in on the expected returns of long-short portfolios based on 204 stock market
anomalies by accounting for i) effective bid–ask spreads, ii) post-publication effects, and iii) …

In Spain, the youth unemployment rate is one of the highest in the European Union. With the
pandemic caused by Covid-19, young people face high unemployment rates and are more …

We develop an estimator for publication bias-adjusted returns and apply it to 156 published
long-short portfolios. Our adjustment uses only in-sample data and provides sharper …

Background SARS-CoV-2, the novel coronavirus that causes COVID-19, is a global
pandemic with higher mortality and morbidity than any other virus in the last 100 years …