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This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic relationships within a longitudinal data setting. The discussion surveys approaches for characterizing the micro dynamics of continuous dependent variables both over time and across...
Persistent link: https://www.econbiz.de/10014024953
There is strong empirical evidence that the GARCH estimates obtained from panels of financial time series cluster. In order to capture this empirical regularity, this paper introduces the Hierarchical GARCH (HG) model. The HG is a nonlinear panel specification in which the coefficients of each...
Persistent link: https://www.econbiz.de/10013038502
between countries using a global vector autoregressive (GVAR) model. Over the period 2000Q1-2020Q4, our global index is able … the COVID-19 pandemic. Global spillover effects are quantified through a novel GVAR-based decomposition of country …
Persistent link: https://www.econbiz.de/10014281497
This paper shows how a weighted average of a forward and reverse Jackknife IV estimator (JIVE) yields estimators that are robust against heteroscedasticity and many instruments. These estimators, called HFUL (Heteroscedasticity robust Fuller) and HLIM (Heteroskedasticity robust limited...
Persistent link: https://www.econbiz.de/10009766699
We analyze the short- and long-term effects of the U.S. Vietnam-era military service on veterans' health outcomes using a restricted version of the National Health Interview Survey 1974-2013 and employing the draft lotteries as an instrumental variable (IV). We start by assessing whether the...
Persistent link: https://www.econbiz.de/10012418660
This study explores disparity in regional development in Russia and in Canada and role of geography in their development. In the first chapter analysis of the role of geographic, economic, and institutional factors in economic growth over 1996-2004 is presented. Additionally the issue of the...
Persistent link: https://www.econbiz.de/10014214698
This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common Correlated Effects (CCE) approach proposed by Pesaran (2006) and Chudik and Pesaran (2015) and demonstrates that the extension...
Persistent link: https://www.econbiz.de/10012911881
This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common Correlated Effects (CCE) approach proposed by Pesaran (2006) and Chudik and Pesaran (2015) and demonstrates that the extension...
Persistent link: https://www.econbiz.de/10012908711
Many believe that multinational enterprises insensitively ignore political rights and civil liberties in the countries of their investments. Frequently, non-governmental organizations accuse multinationals of fostering repressive regimes in developing countries and consider foreign direct...
Persistent link: https://www.econbiz.de/10014031151
This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and spatial error components. We study the general case where spatial effects are incorporated via spatial errors terms and via a spatial lag dependent variable and where the...
Persistent link: https://www.econbiz.de/10013137243