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provide a comprehensive treatment of its use for GMM estimation and inference in time-series models formulated in terms of …
Persistent link: https://www.econbiz.de/10014520806
The topic of this paper is the estimation uncertainty of the Stock-Watson and Gonzalo-Granger permanent …
Persistent link: https://www.econbiz.de/10010489880
Imagine we have two different samples and are interested in doing semi- or nonparametric regression analysis in each of them, possibly on the same econometric model. In this article we consider the problem of testing whether a specific covariate has different impacts on the regression curve in...
Persistent link: https://www.econbiz.de/10010477832
This paper proposes two consistent model selection procedures for factor-augmented regressions in finite samples. We first demonstrate that the usual cross-validation is inconsistent, but that a generalization, leave-d-out cross-validation, selects the smallest basis for the space spanned by the...
Persistent link: https://www.econbiz.de/10011756075
Persistent link: https://www.econbiz.de/10012597684
In this paper, we propose multifactor models for the pan-European Equity Market using a block-bootstrap method and compare the results with those of traditional inferential techniques. The new factors are built from statistical measurements on stock prices - in particular, coefficient of...
Persistent link: https://www.econbiz.de/10012392578
Existing proofs of the asymptotic validity of conventional methods of impulse response inference based on higher-order autoregressions are pointwise only. In this paper, we establish the uniform asymptotic validity of conventional asymptotic and bootstrap inference about individual impulse...
Persistent link: https://www.econbiz.de/10012227499
Persistent link: https://www.econbiz.de/10013464645
constructing predictive accuracy tests, namely: the contribution of parameter estimation error, the choice of linear versus …
Persistent link: https://www.econbiz.de/10010263216
Persistent link: https://www.econbiz.de/10013260145