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Estimating Bayesian Decision Problems with Heterogeneous Expertise (replicati...
We consider the recent novel two-step estimator of Iaryczower and Shum (American Economic Review 2012; 102: 202-237), who analyze voting decisions of US Supreme Court justices.... -
GMM with Multiple Missing Variables (replication data)
We consider efficient estimation in moment conditions models with non-monotonically missing-at-random (MAR) variables. A version of MAR point-identifies the parameters of... -
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... -
On the Low-Frequency Relationship Between Public Deficits and Inflation (repl...
We estimate the low-frequency relationship between fiscal deficits and inflation and pay special attention to its potential time variation by estimating a time-varying vector... -
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... -
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... -
Labor Supply as a Choice Among Latent Jobs: Unobserved Heterogeneity and Iden...
This paper discusses aspects of a modeling framework in which the notion of job choice is fundamental. In this framework, workers are assumed to have preferences over latent job... -
A Bounded Model of Time Variation in Trend Inflation, Nairu and the Phillips ...
In this paper, we develop a bivariate unobserved components model for inflation and unemployment. The unobserved components are trend inflation and the non-accelerating... -
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... -
Lasso for Instrumental Variable Selection: A Replication Study (replication d...
Recently, Lasso methods have been applied to economic questions. In a seminal paper, Belloni et al. (Econometrica; 80(6): 2369-2429) make use of (post-)Lasso for instrumental... -
Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression K...
We investigate price sensitivity of demand for prescription drugs, using drug purchase records for the entire Danish population. We identify price responsiveness by exploiting... -
An Extension of the<i>J</i>-Test to a Spatial Panel Data Framework (replicati...
Kelejian (Letters in Spatial and Resources Sciences; 1: 3-11) extended the J-test procedure to a spatial framework. Although his suggested test was computationally simple and... -
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 Silver Lifeboat, not Silver Fetters: Why and how the Silver Standard Insula...
We use counterfactual simulations based on an estimated dynamic stochastic general equilibrium model to demonstrate why China was affected less than other major countries during... -
Identifying the Independent Sources of Consumption Variation (replication data)
By representing a system of budget shares as an approximate factor model we determine its rank, i.e.?the number of common functional forms or factors, and we estimate a base of... -
Bayesian Graphical Models for STructural Vector Autoregressive Processes (rep...
This paper proposes a Bayesian, graph-based approach to identification in vector autoregressive (VAR) models. In our Bayesian graphical VAR (BGVAR) model, the contemporaneous... -
Estimation of Dynamic Panel Data Models with Cross-Sectional Dependence: Usin...
This paper considers the estimation of dynamic panel data models when data are suspected to exhibit cross-sectional dependence. A new estimator is defined that uses... -
Growth Determinants Revisited Using Limited-Information Bayesian Model Averag...
We revisit the growth empirics debate using a novel limited-information Bayesian model averaging framework in short T panels that addresses model uncertainty, dynamics, and... -
Modelling Technical Efficiency in Cross Sectionally Dependent Stochastic Fron...
This paper proposes a unified framework for accommodating both time and cross-sectional dependence in modelling technical efficiency in stochastic frontier models by combining... -
Identification of Spatial Durbin Panel Models (replication data)
This paper considers identification of spatial Durbin dynamic panel models under 2SLS and ML estimations. We show that the parameters are generally identified via 2SLS moment...
