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Modeling and Forecasting Large Realized Covariance Matrices and Portfolio Cho...
We consider modeling and forecasting large realized covariance matrices by penalized vector autoregressive models. We consider Lasso-type estimators to reduce the dimensionality... -
Exponent of Cross-Sectional Dependence: Estimation and Inference (replication...
This paper provides a characterisation of the degree of cross-sectional dependence in a two dimensional array, {xit,i = 1,2,...N;t = 1,2,...,T} in terms of the rate at which the... -
Isolating the Roles of Individual Covariates in Reweighting Estimation (repli...
A host of recent research has used reweighting methods to analyze the extent to which observable characteristics predict between-group differences in the distribution of an... -
A unified approach to standardized-residuals-based correlation tests for GARC...
In this paper, we propose a unified approach to generating standardized-residuals-based correlation tests for checking GARCH-type models. This approach is valid in the presence... -
Panel unit root tests and spatial dependence (replication data)
This paper studies the performance of panel unit root tests when spatial effects are present that account for cross-section correlation. Monte Carlo simulations show that there... -
Correlations between sisters and neighbouring girls in their subsequent incom...
This study uses data on sisters and neighbouring girls in the Panel Study of Income Dynamics to estimate sister and neighbour correlations in adult income. Our results suggest... -
The error structure of time series cross-section hedonic models with sporadic...
When estimating hedonic models of housing prices, the use of time series cross-section repeat sales data can provide improvements in estimator efficiency and correct for...
