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construction of the final instruments, may provide effective estimation strategies. Shrinkage is a well known approach that … promotes parsimony. We consider a new shrinkage 2SLS estimator. We derive a consistency result for this estimator under general …
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This paper proposes new ℓ1-penalized quantile regression estimators for panel data, which explicitly allows for individual heterogeneity associated with covariates. We conduct Monte Carlo simulations to assess the small sample performance of the new estimators and provide comparisons of new...
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-sectional clustering techniques using shrinkage towards previous cluster means. In this way, the different cross-sections in the panel are …
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stock returns, we show that no single forecasting approach dominates uniformly. However, forecast combination and shrinkage …
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