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REndo: Internal Instrumental Variables to Address Endogeneity

Journal of Statistical Software, 2023
Endogeneity is a common problem in any causal analysis. It arises when the independence assumption between an explanatory variable and the error in a statistical model is violated.
Raluca Gui, Markus Meierer, Patrik Schilter, René Algesheimer   +3 more
doaj   +2 more sources

Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling

Journal of International Marketing, 2018
Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression ...
G Tomas M Hult, Dorian Proksch, Marko Sarstedt   +2 more
exaly   +2 more sources

Income Inequality and Education Revisited: Persistence, Endogeneity, and Heterogeneity

Social Science Research Network, 2017
This paper presents new results on the relationship between income inequality and education expansion—that is, increasing average years of schooling and reducing inequality of schooling. When dynamic panel estimation techniques are used to address issues
David Coady, Allan Dizioli
openalex   +3 more sources

Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data

Industrial Marketing Management, 2018
Subhan Ullah, Pervaiz Akhtar, Ghasem Zaefarian   +2 more
exaly   +2 more sources

Cultural dynamics and endogeneity in psychological drivers of adoption of community-based water purification technology in rural India. [PDF]

iScience
Raj M, Pande S, Ramesh MV.
europepmc   +2 more sources

Endogeneity and marketing strategy research: an overview

Journal of the Academy of Marketing Science, 2019
Oliver Rutz
exaly   +2 more sources

Controlling for endogeneity with instrumental variables in strategic management research [PDF]

Strategic Organization, 2008
Guilhem Bascle
exaly   +2 more sources

Granger Causality on forward and Reversed Time Series

Entropy, 2021
In this study, the information flow time arrow is investigated for stochastic data defined by vector autoregressive models. The time series are analyzed forward and backward by different Granger causality detection methods.
Martina Chvosteková, Jozef Jakubík, Anna Krakovská   +2 more
doaj   +1 more source

Endogeneity in survey research

International Journal of Research in Marketing, 2018
Jon Bingen Sande
exaly   +2 more sources

Internal corporate governance and bank risk taking behavior: evidence from developed and emerging economies

Business Review, 2022
The study aims to evaluate the impact of board structure and ownership structure on bank risk taking behavior in developed and emerging countries. To fulfill this objective, the study used annual data of 100 large commercial banks for the period 2006 ...
Ghulam Subhani , Shumaila Zeb
doaj   +1 more source