22 datasets found

This repository includes most of the R scripts and data files required to reproduce the analyses and figures presented in the paper "Predicting the seasonal flight activity of...

This paper estimates a policy rule that explains the sign and the magnitude of the Federal Reserve's (Fed's) discount rate changes. It sets out a two-sided Type II Tobit model...

The use of a new bootstrap method for small-sample inference in long-horizon regressions is illustrated by analysing the long-horizon predictability of four major exchange...

In this paper we employ an additive semiparametric partially linear model to uncover the way that initial output and schooling levels affect growth rates. Our results based on...

Using the Box-Cox quantile regression model, we analyse the size distribution of firms in Portuguese manufacturing during the 1980s. Specifically, we estimate the effect of...

This paper develops a new approach to the problem of testing the existence of a level relationship between a dependent variable and a set of regressors, when it is not known...

We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian Model Averaging (BMA). We find that the posterior probability is spread widely...

A prominent test of long-run monetary neutrality (LRMN) involves regressing long-horizon output growth on long-horizon money growth. We obtain limited support for LRMN with this...

Productivity of blast furnaces in India is studied by disaggregating the production process and the utilization process. A dimension-reducing nonparametric approach-projection...

We propose a method to decompose the changes in the wage distribution over a period of time in several factors contributing to those changes. The method is based on the...

The distribution of a functional of two correlated vector-Brownian motions is approximated by a Gamma distribution. This functional represents the limiting distribution for...

This paper extends results regarding smoothed median binary regression to general smoothed binary quantile regression, discusses the interpretation of the resulting estimators...

Using the Box-Cox regression model with heteroscedasticity (BCHR), we re-examine the size distribution of the Portuguese manufacturing firms studied by Machado and Mata (2000)...

This article explores to what extent the poor results that are often found when estimating parameters of production functions can be attributed to measurement errors, due to the...

This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model...

We consider the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of...

This paper extends the literature on modelling healthcare cost data by applying the generalised beta of the second kind (GB2) distribution to English hospital inpatient cost...

Empirical studies analyzing the determinants of US presidential popularity have delivered quite inconclusive results concerning the role of economic variables by assuming linear...

Many empirical applications of regression discontinuity (RD) models use a running variable that is rounded and hence discrete, e.g.?age in years, or birth weight in ounces. This...

We revisit the growth empirics debate using a novel limited-information Bayesian model averaging framework in short T panels that addresses model uncertainty, dynamics, and...