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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... -
PRACTICAL TOOLS FOR POLICY ANALYSIS IN DSGE MODELS WITH MISSING SHOCKS (repli...
In this paper we analyze the propagation of shocks originating in sectors that are not present in a baseline dynamic stochastic general equilibrium (DSGE) model. Specifically,... -
Identification of parameters in normal error component logit-mixture (NECLM) ...
Although the basic structure of logit-mixture models is well understood, important identification and normalization issues often get overlooked. This paper addresses issues... -
Validating multiple structural change models-a case study (replication data)
In a recent article, Bai and Perron (2003, Journal of Applied Econometrics) present a comprehensive discussion of computational aspects of multiple structural change models... -
Monitoring structural change in dynamic econometric models (replication data)
The classical approach to testing for structural change employs retrospective tests using a historical data set of a given length. Here we consider a wide array of... -
Mixed signals among tests for cointegration (replication data)
This paper illustrates that, under the null hypothesis of no cointegration, the correlation of p-values from a single-equation residual-based test (i.e., ADF or ) with a... -
Inferring the private information content of trades: a regime-switching appro...
This paper presents an empirical model for inferring the private information content of trades at the transaction level. The trade-indicator model of Glosten and Harris (1988)... -
A flexible parametric selection model for non-normal data with application to...
I examine the effects of insurance status and managed care on hospitalization spells, and develop a new approach for sample selection problems in parametric duration models. MLE... -
Learning and communication in sender-receiver games: an econometric investiga...
This paper compares stimulus response (SR) and belief-based learning (BBL) using data from experiments with sender-receiver games. The environment, extensive form games played... -
Rethinking an old empirical puzzle: econometric evidence on the forward disco...
Using both semiparametric and parametric estimation methods, this paper corroborates earlier findings of fractionally integrated behaviour in the forward premium. Two new... -
Measuring the equilibrium effects of unemployment benefits dispersion (replic...
We analyse the impact of unemployment benefits and minimum wages using an equilibrium search model which allows for dispersion of benefits and productivity levels, job-to-job... -
Loss function-based evaluation of DSGE models (replication data)
In this paper we propose a Bayesian econometric procedure for the evaluation and comparison of DSGE models. Unlike in many previous econometric approaches we explicitly take... -
Determining market power exertion between buyers and sellers (replication data)
Empirical techniques commonly used in industrial organization to measure market power exertion typically assume imperfectly competitive behaviour by firms on only one side of... -
Asymptotically perfect and relative convergence of productivity (replication ...
In this paper we examine the extent to which countries are converging in per capita productivity levels. We propose to use cluster analysis in order to allow for the endogenous... -
Numerical distribution functions of likelihood ratio tests for cointegration ...
This paper employs response surface regressions based on simulation experiments to calculate asymptotic distribution functions for the Johansen-type likelihood ratio tests for... -
Exchange rates and monetary fundamentals: what do we learn from long-horizon ...
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... -
A threshold error-correction model for intraday futures and index returns (re...
Index-futures arbitragers only enter into the market if the deviation from the arbitrage relation is sufficiently large to compensate for transaction costs and associated... -
COUNT DATA REGRESSION USING SERIES EXPANSIONS: WITH APPLICATIONS (replication...
A new class of parametric regression models for both under? and overdispersed count data is proposed. These models are based on squared polynomial expansions around a Poisson... -
FEASIBLE CROSS-VALIDATORY MODEL SELECTION FOR GENERAL STATIONARY PROCESSES (r...
Cross-validation is a method used to estimate the expected prediction error of a model. Such estimates may be of interest in themselves, but their use for model selection is...
