Meta-analysis upweights studies reporting lower standard errors and hence more precision. But in empirical practice, notably in observational research, precision is not given to the researcher. Precision must be estimated, and thus can be p-hacked to achieve statistical significance. Simulations...

This paper offers a simple yet effective way of estimating the moments of a stock's return distribution. The methodology is based on quantile regression, which is able to effectively summarize a stock's return moments by using a rich set of information about different parts of the stock's return...

Density forecasts of euro area inflation are a fundamental input for a medium-term oriented central bank, such as the European Central Bank (ECB). We show that a quantile regression forest, capturing a general non-linear relationship between euro area (headline and core) inflation and a large...

How should we compare welfare across pension systems in presence of differential mortality? A commonly used standard utilitarian criterion implicitly favors the long-lived over the short-lived. We investigate under what conditions this ranking is reversed. We clearly distinguish between the...

Under contemporary market conditions in China, the stock index has been volatile and highly reflect trends in the coronavirus pandemic, but rare scientific research has been conducted to model the nonlinear relations between the two variables. Added, on the advent that covid-related news in one...

Betas from return regressions are commonly used to measure systematic financial market risks. "Good" beta measurements are essential for a range of empirical inquiries in finance and macroeconomics. We introduce a novel econometric framework for the nonparametric estimation of time-varying betas...

This study aims to investigate the sociodemographic determinants of school attendance in Mauritania. The study utilizes the national household survey 2019 and a logistic regression econometric model is used to analyze the association between sociodemographic variables and the dependent variable...

This is the first paper about the existence of non-linear relations between auditor quality and tax avoidance (TA), using a quantile regression approach. We find that the relation between auditor quality and TA depends on the degree of TA. Specifically, for greater tax aggressive firms, being...