Sample skewness and kurtosis are limited by functions of sample size. The limits, or approximations to them, have repeatedly been rediscovered over the last several decades, but nevertheless seem to remain only poorly known. The limits impart bias to estimation and, in extreme cases, imply that...

How important is luck in determining labor market outcomes? We address this question using a new dataset of all international test cricketers who debuted between 1950 and 1985. We present evidence that a player’s debut performance is strongly affected by an exogenous source of variation:...

Financial frictions have been identified as key factors affecting economic fluctuations and growth. But, can institutional reforms reduce financial frictions? Based on a canonical investment model, we consider two potential channels: (i) financial transaction costs at the firm level; and (ii)...

This paper tests the effect of comparative advantage, size, and networking on the firm probability of exporting. The closest theoretical framework is the one of Bernard, Redding, and Schott (2007), with firm heterogeneity across countries and industries. We use a recently assembled multi-country...

We propose and implement a framework for characterizing and monitoring the global business cycle. Our framework utilizes high-frequency data, allows us to account for a potentially large amount of missing observations, and is designed to facilitate the updating of global activity estimates as...

This paper uses a range of different methodologies to estimate the equilibrium real exchange rate in Armenia with both single-country and panel estimation techniques. We estimate a country specific autoregressive distributed lag model and then proceed with the estimation of a cointegrated panel...

This paper investigates the short-run effects of the 2007-09 global financial crisis on growth in (mainly non-fuel exporting) low-income countries (LICs). Four conclusions stand out. First, for many individual LICs, 2009 was not extraordinarily calamitous; however, aggregate LIC output declined...

This study examines the effect of sample size on the mean productive efficiency of firms when the efficiency is evaluated using the non-parametric approach of Data Envelopment Analysis. By employing Monte Carlo simulation, we show how the mean efficiency is related to the sample size. The paper...

Covariate misclassification is a common problem in epidemiology, genetics, and other biomedical areas. Because this form of misclassification is known to bias estimators, accounting for it at the design stage is of high importance. In this paper, we extend on previous work applied to response...

Marketing problems sometimes concern the analysis of dichotomous variables, like for example ``buy'' and ``not buy'' and ``respond'' and ``not respond''. It can happen that one outcome strongly outnumbers the other, for example when many households do not respond (to a direct mailing, for...