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Unobserved selection heterogeneity and the gender wage gap (replication data)
Selection correction methods usually make assumptions about selection itself. In the case of gender wage gap estimation, those assumptions are especially tenuous because of high... -
Structural FECM: Cointegration in large‐scale structural FAVAR models (replic...
Starting from the dynamic factor model for nonstationary data we derive the factor-augmented error correction model (FECM) and its moving-average representation. The latter is... -
Anchoring the yield curve using survey expectations (replication data)
The dynamic behavior of the term structure of interest rates is difficult to replicate with models, and even models with a proven track record of empirical performance have... -
The Effectiveness of Non-Standard Monetary Policy Measures: Evidence from Sur...
We assess professional forecasters' perceptions of the effects of the unconventional monetary policy measures announced by the US Federal Reserve after the collapse of Lehman... -
Density Forecasts With Midas Models (replication data)
We propose a parametric block wild bootstrap approach to compute density forecasts for various types of mixed-data sampling (MIDAS) regressions. First, Monte Carlo simulations... -
Modeling and Forecasting Large Realized Covariance Matrices and Portfolio Cho...
We consider modeling and forecasting large realized covariance matrices by penalized vector autoregressive models. We consider Lasso-type estimators to reduce the dimensionality... -
Nonlinear Granger Causality: Guidelines for Multivariate Analysis (replicatio...
We propose an extension of the bivariate nonparametric Diks-Panchenko Granger non-causality test to multivariate settings. We first show that the asymptotic theory for the... -
Modelling Hospital Admission and Length of Stay by Means of Generalised Count...
For a large heterogeneous group of patients, we analyse probabilities of hospital admission and distributional properties of lengths of hospital stay conditional on individual... -
Forecasting with Bayesian Vector Autoregressions Estimated Using Professional...
We propose a Bayesian shrinkage approach for vector autoregressions (VARs) that uses short-term survey forecasts as an additional source of information about model parameters.... -
Exponent of Cross-Sectional Dependence: Estimation and Inference (replication...
This paper provides a characterisation of the degree of cross-sectional dependence in a two dimensional array, {xit,i = 1,2,...N;t = 1,2,...,T} in terms of the rate at which the... -
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... -
A Two-Stage Approach to Spatio-Temporal Analysis with Strong and Weak Cross-S...
An understanding of the spatial dimension of economic and social activity requires methods that can separate out the relationship between spatial units that is due to the effect... -
Replacing Sample Trimming with Boundary Correction in Nonparametric Estimatio...
Two-step nonparametric estimators have become standard in empirical auctions. A drawback concerns boundary effects which cause inconsistencies near the endpoints of the support... -
Simple Identification and Specification of Cointegrated Varma Models (replica...
We bring together some recent advances in the literature on vector autoregressive moving-average models, creating a simple specification and estimation strategy for the... -
Monetary Policy and the Housing Market: A Structural Factor Analysis (replica...
This paper studies the role of the Federal Reserve's policy in the recent boom and bust of the housing market, and in the ensuing recession. By estimating a structural dynamic... -
CONSTRUCTING OPTIMAL DENSITY FORECASTS FROM POINT FORECAST COMBINATIONS (repl...
Decision makers often observe point forecasts of the same variable computed, for instance, by commercial banks, IMF and the World Bank, but the econometric models used by such... -
Estimating the effect of a gasoline tax on carbon emissions (replication data)
Recently the proposal has been made to raise gasoline taxes in the United States to curb carbon emissions. The existing literature on the sensitivity of gasoline consumption to... -
Competition in large markets (replication data)
This paper evaluates the simplifying assumption that producers compete in a large market without substantial strategic interactions using nonparametric regressions of producers'... -
Efficiency and productivity of the US banking industry, 1998-2005: evidence f...
This paper provides estimates of bank efficiency and productivity in the United States, over the period from 1998 to 2005, using (for the first time) the globally flexible...