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Identifying relevant and irrelevant variables in sparse factor models (replic...
This paper considers factor estimation from heterogeneous data, where some of the variables-the relevant ones-are informative for estimating the factors, and others-the... -
Tests of Predictive Ability for Vector Autoregressions Used for Conditional F...
Many forecasts are conditional in nature. For example, a number of central banks routinely report forecasts conditional on particular paths of policy instruments. Even though... -
Replicating the Results in ‘A New Model of Trend Inflation’ Using Particle Ma...
An article by Chan et al. (2013) published in the Journal of Business and Economic Statistics introduces a new model for trend inflation. They allow the trend inflation to... -
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... -
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... -
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... -
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... -
Identification and Estimation of Engel Curves with Endogenous and Unobserved ...
When dealing with the estimation of Engel curves, measurement errors in expenditure data and simultaneity are likely sources of endogeneity. In this paper we study...
