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A generalized focused information criterion for GMM (replication data)
This paper proposes a criterion for simultaneous generalized method of moments model and moment selection: the generalized focused information criterion (GFIC). Rather than... -
Realized extreme quantile: A joint model for conditional quantiles and measur...
We propose a new framework exploiting realized measures of volatility to estimate and forecast extreme quantiles. Our realized extreme quantile (REQ) combines quantile... -
Confronting Price Endogeneity in a Duration Model of Residential Subdivision ...
Spatial equilibrium implies that distant factors are correlated with local prices through market mechanisms. Using this logic, we develop a novel approach for handling price... -
Testing for Predictability in panels with General Predictors (replication data)
The difficulty of predicting returns has recently motivated researchers to start looking for tests that are either more powerful or robust to more features of the data.... -
Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of Internat...
This paper provides an econometric examination of technological knowledge spillovers among countries by focusing on the issue of error cross-sectional dependence, particularly... -
Forecast Rationality Tests in the Presence of Instabilities, with Application...
This paper proposes a framework to implement regression-based tests of predictive ability in unstable environments, including, in particular, forecast unbiasedness and... -
Flexible Estimation of Copulas: An Application to the US Housing Crisis (repl...
Zimmer (?The role of copulas in the housing crisis?, Review of Economics and Statistics 2012; 94: 607-620) provides an interesting case study of the pitfalls of using parametric... -
The Measurement and Behavior of Uncertainty: Evidence from the ECB Survey of ...
We examine matched point and density forecasts of output growth, inflation and unemployment from the ECB Survey of Professional Forecasters. We construct measures of uncertainty... -
DISENTANGLING DEMAND AND SUPPLY SHOCKS IN THE CRUDE OIL MARKET: HOW TO CHECK ...
Sign restrictions have become increasingly popular for identifying shocks in structural vector autoregressive (SVAR) models. So far there are no techniques for validating the... -
THE ROLE OF INVENTORIES AND SPECULATIVE TRADING IN THE GLOBAL MARKET FOR CRUD...
We develop a structural model of the global market for crude oil that for the first time explicitly allows for shocks to the speculative demand for oil as well as shocks to flow... -
TIME-VARYING DYNAMICS OF THE REAL EXCHANGE RATE: AN EMPIRICAL ANALYSIS (repli...
We use a time-varying structural vector autoregression to investigate evolving dynamics of the real exchange rate for the UK, euro area and Canada. We show that demand and... -
POOLING VERSUS MODEL SELECTION FOR NOWCASTING GDP WITH MANY PREDICTORS: EMPIR...
This paper discusses pooling versus model selection for nowcasting with large datasets in the presence of model uncertainty. In practice, nowcasting a low-frequency variable... -
Modelling dependence using skew t copulas: Bayesian inference and application...
We construct a copula from the skew t distribution of Sahu et al. (2003). This copula can capture asymmetric and extreme dependence between variables, and is one of the few... -
Participation and study decisions in a public system of higher education (rep...
We analyze the decision whether to participate and where and what to study in a public system of higher education, based on a unique dataset of all eligible high school pupils... -
The price consideration model of brand choice (replication data)
The workhorse brand choice models in marketing are the multinomial logit (MNL) and nested multinomial logit (NMNL). These models place strong restrictions on how brand share and... -
Sectoral adjustment of employment to shifts in outsourcing and trade: evidenc...
This paper analyzes the effects of trade and outsourcing on the transition probabilities of employment between sectors, using a dynamic multinomial logit framework with fixed... -
Smoothed binary regression quantiles (replication data)
This paper extends results regarding smoothed median binary regression to general smoothed binary quantile regression, discusses the interpretation of the resulting estimators... -
How do changes in monetary policy affect bank lending? An analysis of Austria...
Using a panel of Austrian bank data we show that the lending decisions of the smallest banks are more sensitive to interest rate changes, and that for all banks, sensitivity... -
Valuation ratios and long-horizon stock price predictability (replication data)
Using annual data for 1872-1997, this paper re-examines the predictability of real stock prices based on price-dividend and price-earnings ratios. In line with the extant... -
Long-run monetary neutrality and long-horizon regressions (replication data)
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...
