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Efficient estimation of factor models with time and cross-sectional dependenc...
This paper studies the efficient estimation of large-dimensional factor models with both time and cross-sectional dependence assuming (N,T) separability of the covariance... -
Model selection with estimated factors and idiosyncratic components (replicat...
This paper provides consistent information criteria for the selection of forecasting models that use a subset of both the idiosyncratic and common factor components of a big... -
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... -
Time Variation in Macro-Financial Linkages (replication data)
We analyze the contribution of credit spread, house and stock price shocks to the US economy based on a time-varying parameter vector autoregressive model. We find that the... -
R&D and subsidies at the firm level: an application of parametric and sem...
This paper analyzes the effect of public R&D subsidies on firms' private R&D investment per employee and new product sales in German manufacturing. Parametric and... -
Is gravity linear? (replication data)
Despite the solid theoretical foundation on which the gravity model of bilateral trade is based, empirical implementation requires several assumptions which do not follow... -
Semi-nonparametric competing risks analysis of recidivism (replication data)
In this paper we specify a semi-nonparametric competing risks (SNP-CR) model of recidivism, for misdemeanors and felonies. The model is a bivariate mixed proportional hazard... -
Exploring the international linkages of the euro area: a global VAR analysis ...
This paper presents a quarterly global model combining individual country vector error-correcting models in which the domestic variables are related to the country-specific... -
The transmission mechanism in a changing world (replication data)
The paper aims to identify those factors that cause changes in the speed and strength of the international transmission of output shocks from the USA to specified European... -
On Markov error-correction models, with an application to stock prices and di...
This paper considers Markov error-correction (MEC) models in which deviations from the long-run equilibrium are characterized by different rates of adjustment. To motivate our... -
Can inflation data improve the real-time reliability of output gap estimates?...
Potential output plays a central role in monetary policy and short-term macroeconomic policy making. Yet, characterizing the output gap involves a trend-cycle decomposition, and... -
Incentive effects in the demand for health care: a bivariate panel count data...
This paper contributes in three dimensions to the literature on health care demand. First, it features the first application of a bivariate random effects estimator in a count... -
A rational rank four demand system (replication data)
Past parametric tests of demand system rank employed polynomial Engel curve systems. However, by Gorman's (1981) theorem, the maximum possible rank of a utility-derived... -
Time-varying intercepts and equilibrium analysis: an extension of the dynamic...
Demographic effects and user costs in demand systems have usually been modelled explicitly. A more robust approach is a state space formulation of the demand system, where...
