This paper establishes the almost sure convergence and asymptotic normality of quasi maximum-likelihood (QML) estimators of a dynamic panel data model when the time series for each cross section is short. The QML estimators are robust with respect to initial conditions and misspecification of...

This paper reconciles contradictory findings obtained from forecast evaluations: the existence of systematic errors and the failure to reject rationality in the presence of such errors. Systematic errors in one economic state may offset the opposite types of errors in the other state such that...

We examine the relative improvement in forecasting accuracy of the Federal Reserve (Greenbook forecasts) and private-sector forecasts (the Survey of Professional Forecasters and Blue Chip Economic Indicators) for inflation. Previous research by Romer and Romer (2000), and Sims (2002) shows that...

This article provides a discussion of Clements and Galvão’s “Forecasting with Vector Autoregressive Models of Data Vintages: US output growth and inflation.” Clements and Galvão argue that a multiple-vintage VAR model can be useful for forecasting data that are subject to revisions....

This study investigates the impact of the real exchange rate on the non-oil exports of the Republic of Azerbaijan in the framework of cointegration and an asymmetric error correction. Threshold and Momentum Threshold Autoregressive methods are applied over the quarterly period 2000Q1-2010Q4. The...

Existing research suggests that bureaucrats’ optimal behavior is to maximize their agency’s budgets, but does not account for information imperfections nor explore the tactics bureaucrats employ in maximizing their budgets. Drawing on the rational expectations literature, we propose a new...

Fildes and Stekler’s (2002) survey of the state of knowledge about the quality of economic forecasts focused primarily on US and UK data. This paper will draw on some of their findings but it will not examine any additional US forecasts. The purpose is to determine whether their results are...

Regression analysis is intended to be used when the researcher seeks to test a given hypothesis against a data set. Unfortunately, in many applications it is either not possible to specify a hypothesis, typically because the research is in a very early stage, or it is not desirable to form a...

A great amount of effort is spent in forecasting the outcome of sporting events, but few papers have focused exclusively on the characteristics of sports forecasts. Rather, many papers have been written about the efficiency of sports betting markets. As it turns out, it is possible to derive...