When decomposing differences in average economic outcome between two groups of individuals, it is common practice to base the analysis on logarithms if the dependent variable is nonnegative. This paper argues that this approach raises a number of undesired statistical and conceptual issues...

We show that parts of the unexplained wage gap in standard Oaxaca-Blinder decompositions result from the neglect of the role played by the family for individual wages. We present a simple model of dual-earner households facing a trade-off regarding whose career to promote and show analytically...

We show that parts of the unexplained wage gap in standard Oaxaca-Blinder decompositions result from the neglect of the role played by the family for individual wages. We present a simple model of dual-earner households facing a trade-off regarding whose career to promote and show analytically...

In many economic models a central variable of interest is lifetime or permanent income which is not observed in survey data sets and typically proxied by annual income information. To assess the quality of such approximations, we use a unique source of lifetime earnings - the German pension...

This paper seeks to examine the determinants of FDI into Latin America with an aim to make policy recommendations to boost FDI into the region. Using data for 17 Latin American countries for the period from 1990 to 2013 and two-way fixed effects method of estimation, the paper is an attempt to...

In this paper, we develop a penalized realized variance (PRV) estimator of the quadratic variation (QV) of a high-dimensional continuous Itô semimartingale. We adapt the principle idea of regularization from linear regression to covariance estimation in a continuous-time high-frequency setting....

The study is based on the time series analysis of stock prices in South Africa. It uses the data covering the period 1980Q1 to 2010Q4 to test the effect of inflation on stock prices. The analysis is done using Auto-Regressive Distributed Lag Model (ARDL). First, we investigate time series...

We present a general framework for Bayesian estimation and causality assessment in epidemiological models. The key to our approach is the use of sequential Monte Carlo methods to evaluate the likelihood of a generic epidemiological model. Once we have the likelihood, we specify priors and rely...

This chapter uses the marginal treatment effect (MTE) to unify and organize the econometric literature on the evaluation of social programs. The marginal treatment effect is a choice-theoretic parameter that can be interpreted as a willingness to pay parameter for persons at a margin of...

We examine in this paper the training and test set performance of several equity factor models with a dataset of 20 years of data, 1,200 stocks and 100 factors. First, we examine several models to forecast expected returns, which can be used as baselines for more complex models: linear...