-
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... -
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... -
Dynamic Panel Data Models With Irregular Spacing: With an Application to Earl...
With the increased availability of longitudinal data, dynamic panel data models have become commonplace. Moreover, the properties of various estimators of such models are well... -
Density Forecasts With Midas Models (replication data)
We propose a parametric block wild bootstrap approach to compute density forecasts for various types of mixed-data sampling (MIDAS) regressions. First, Monte Carlo simulations... -
Confronting Price Endogeneity in a Duration Model of Residential Subdivision ...
Spatial equilibrium implies that distant factors are correlated with local prices through market mechanisms. Using this logic, we develop a novel approach for handling price... -
Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of Internat...
This paper provides an econometric examination of technological knowledge spillovers among countries by focusing on the issue of error cross-sectional dependence, particularly... -
Wild Bootstrap Inference for Wildly Different Cluster Sizes (replication data)
The cluster robust variance estimator (CRVE) relies on the number of clusters being sufficiently large. Monte Carlo evidence suggests that the rule of 42 is not true for... -
Forecasting With the Standardized Self‐Perturbed Kalman Filter (replication d...
We propose and study the finite-sample properties of a modified version of the self-perturbed Kalman filter of Park and Jun (Electronics Letters 1992; 28: 558-559) for the...
