http://www.hec.unil.ch/people/jantonakis The John Antonakis's podcast Feeder 2.2.4(1524); Mac OS X Version 10.5.8 (Build 9L31a) http://reinventedsoftware.com/feeder/ http://blogs.law.harvard.edu/tech/rss en © UNIL | Université de Lausanne podcast@unil.ch podcast@unil.ch Thu, 05 Apr 2012 13:57:03 +0200 Thu, 05 Apr 2012 13:57:03 +0200 http://podcast.unil.ch/podcast/vignettes/ampoule.png http://www.hec.unil.ch/people/jantonakis John Antonakis, UNIL The John Antonakis's podcast The John Antonakis's podcast endogeneity, 2sls, two-stage least squares, instrumental variables, econometrics, causality, common-method variance, Predicting, elections, child, play, democracy, science, platon no UNIL | Université de Lausanne podcast@unil.ch no http://www.unil.ch/hec Tue, 01 Nov 2011 16:00:21 +0100 3F3E8F91-9DE9-467F-A373-63A48D80576A John Antonakis, UNIL | Université de Lausanne Prof. John Antonakis shows how the two-stage least squares (2SLS) estimator recovers causal estimates in the presence of endogeneity (which includes the problem of common-method variance). It is well known that endogeneity leads to inconsistent estimates. Unfortunately, many researchers working outside of economics are not aware of the problem of endogeneity and how to deal with it. Prof. John Antonakis shows how the two-stage least squares (2SLS) estimator recovers causal estimates in the presence of endogeneity (which includes the problem of common-method variance). He also shows that endogeneity can even be prevalent in experimental designs, when researchers estimate mediation models; that is, where the causal effect of an exogenous variable on a dependent variable is mediated by an endogenous variable (or a manipulation check). no 16:22 http://www.unil.ch/hec Tue, 01 Nov 2011 18:00:21 +0100 95003ED8-069A-4B9C-AADB-D3C97A1FBA71 John Antonakis, UNIL | Université de Lausanne This podcast gives a brief and vivid overview to endogeneity and why it is engendered. Prof. John Antonakis discusses the problems of endogeneity using non-technical language and intuitive explanations. A key assumption of regression analysis (or structural equation modeling) is that the modeled independent variables are not endogenous. Yet, the problems of endogeneity are not well known to researchers working in many social sciences disciplines (e.g., management, applied psychology, sociology, etc.). When the independent variable has not been exogenously manipulated, there is a strong possibility that its relationship to a dependent variable will not be correctly estimated, leading to spurious findings. This podcast gives a brief and vivid overview to endogeneity and why it is engendered. Prof. John Antonakis discusses the problems of endogeneity using non-technical language and intuitive explanations; he shows that when the independent variable is endogenous--which is also possible in experimental designs (when the mediator is endogenous)--the observed relationship that is estimated can be very misleading. Prof. Antonakis demonstrates how the problem of endogeneity can be solved using procedures borrowed from econometrics (i.e., two-stage least square regression estimator). no 32:19 http://www.unil.ch/hec Tue, 01 Nov 2011 20:00:21 +0100 717D2DE4-5980-4661-AF11-5A1B32548C62 John Antonakis, UNIL | Université de Lausanne This podcast gives a brief and vivid overview to endogeneity and why it is engendered. Prof. John Antonakis discusses the problems of endogeneity using non-technical language and intuitive explanations. A key assumption of regression analysis (or structural equation modeling) is that the modeled independent variables are not endogenous. Yet, the problems of endogeneity are not well known to researchers working in many social sciences disciplines (e.g., management, applied psychology, sociology, etc.). When the independent variable has not been exogenously manipulated, there is a strong possibility that its relationship to a dependent variable will not be correctly estimated, leading to spurious findings. This podcast gives a brief and vivid overview to endogeneity and why it is engendered. Prof. John Antonakis discusses the problems of endogeneity using non-technical language and intuitive explanations; he shows that the observed relationship that is estimated can be very misleading when the independent variable is endogenous. no 19:05 http://www.unil.ch/hec Fri, 27 Feb 2009 07:36:21 +0100 predicting-elections-childs-play John Antonakis, UNIL | Université de Lausanne Ulrich Hoffrage questionne John Antonakis sur la recherche qu'il a conduite avec Olaf Dalgas et qui donne lieu à une publication dans la revue Science de février 2009. Ulrich Hoffrage questionne John Antonakis sur la recherche qu'il a conduite avec Olaf Dalgas et qui donne lieu à une publication dans la revue Science de février 2009. no 34:29 http://www.unil.ch/hec Fri, 27 Feb 2009 07:05:52 +0100 predicting-elections-childs-play-1 John Antonakis, UNIL | Université de Lausanne Ulrich Hoffrage questionne John Antonakis sur la recherche qu'il a conduite avec Olaf Dalgas et qui donne lieu à une publication dans la revue Science de février 2009. Ulrich Hoffrage questionne John Antonakis sur la recherche qu'il a conduite avec Olaf Dalgas et qui donne lieu à une publication dans la revue Science de février 2009. no 34:29