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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... -
The Robust Relationship Between US Food Aid and Civil Conflict (replication d...
Humanitarian aid has long been considered an important means to reduce hunger and suffering in developing countries. A recent finding by Nunn and Qian (US food aid and civil... -
On the Stability of the Excess Sensitivity of Aggregate Consumption Growth in...
This paper investigates whether there is time variation in the excess sensitivity of aggregate consumption growth to anticipated aggregate disposable income growth using... -
Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at t...
Appropriate real-time forecasting models for the US retail price of gasoline yield substantial reductions in the mean-squared prediction error (MSPE) at horizons up to 2 years... -
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... -
Reanalyzing Zero Returns to Education in Germany (replication data)
Pischke and von Wachter (Review of Economics and Statistics 2008; 90(3): 592-598) find zero earnings returns to compulsory schooling in the basic school track in Germany. We... -
Modelling Inflation Volatility (replication data)
This paper discusses estimation of US inflation volatility using time-varying parameter models, in particular whether it should be modelled as a stationary or random walk... -
Maintaining (Locus of) Control? Data Combination for the Identification and I...
Factor structure models are widely used in economics to extract latent variables, such as personality traits, and to measure their impact on outcomes of interest. The... -
Identification and Estimation of Distributional Impacts of Interventions Usin...
This paper presents estimators of distributional impacts of interventions when selection to the program is based on observable characteristics. Distributional impacts are... -
A Social Interactions Model with Endogenous Friendship Formation and Selectiv...
This paper analyzes the endogeneity bias problem caused by associations of members within a network when the spatial autoregressive (SAR) model is used to study social... -
A Hidden Markov Model Approach to Information-Based Trading: Theory and Appli...
This paper develops a novel approach to information-based securities trading by characterizing the hidden state of the market, which varies following a Markov process. Extensive... -
Doubly Robust Estimation of Causal Effects with Multivalued Treatments: An Ap...
This paper provides doubly robust estimators for treatment effect parameters which are defined in a multivalued treatment effect framework. We apply this method to the unique... -
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...
