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The online Supplement presents the proof the auxiliary Lemmas 1-6, the entire set of tables with results from the Monte Carlo and the empirical studies, and further discussion on selected topics.Full paper is available at: 'https://ssrn.com/abstract=2707176' https://ssrn.com/abstract=2707176
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Vector Autoregressive Moving Average (VARMA) models. We overcome the estimation issue that arises with this class of models …
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We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly …
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The estimation of structural dynamic factor models (DFMs) for large sets of variables is attracting considerable … two alternative estimation methods for the DFM. Finally, as an example, we reconsider the issue of the identification of …
Persistent link: https://www.econbiz.de/10012709803
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series and estimation of time varying parameter processes by well-known rolling regression estimation techniques. We … point for further research on numerous open problems including establishing estimation results of time-varying parameters …
Persistent link: https://www.econbiz.de/10011405250
Following Giraitis, Kapetanios, and Yates (2014b), this paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the data set constructed by Smets and Wouters (2007). We apply an indirect inference method to map from this TV VAR to time...
Persistent link: https://www.econbiz.de/10011405253
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In this paper we focus on estimating the degree of cross-sectional dependence in the error terms of a classical panel data regression model. For this purpose we propose an estimator of the exponent of cross-sectional dependence denoted by α; which is based on the number of non-zero pair-wise...
Persistent link: https://www.econbiz.de/10011900761