Addressing endogeneity: some (mostly) harmless recommendations
暂无分享,去创建一个
[1] Mike G. Tsionas,et al. Efficient semiparametric copula estimation of regression models with endogeneity , 2021, Econometric Reviews.
[2] L. Wasserman,et al. Computing Bayes Factors by Combining Simulation and Asymptotic Approximations , 1997 .
[3] V. Chernozhukov,et al. An MCMC approach to classical estimation , 2003 .
[4] Roberto Rigobon,et al. Identification Through Heteroskedasticity , 2003, Review of Economics and Statistics.
[5] Bernardo F. Quiroga,et al. Addressing Endogeneity Without Strong Instruments: A Practical Guide to Heteroskedasticity-Based Instrumental Variables (HBIV) , 2021 .
[6] J. Kiviet. Testing the impossible: Identifying exclusion restrictions , 2016, Journal of Econometrics.
[7] Arthur Lewbel,et al. Constructing Instruments for Regressions with Measurement Error when no Additional Data are Available, with an Application to Patents and R&D , 1997 .
[8] A. Ivlevs. Happy Hosts? International Tourist Arrivals and Residents’ Subjective Well-being in Europe , 2017 .
[9] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[10] When is it really justifiable to ignore explanatory variable endogeneity in a regression model , 2016 .
[11] Michel Wedel,et al. Solving and Testing for Regressor-Error (in)Dependence When no Instrumental Variables are Available: With New Evidence for the Effect of Education on Income , 2005 .
[12] S. Kumbhakar,et al. Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms , 2018, International Journal of Production Economics.
[13] Pier Giovanni Bissiri,et al. A general framework for updating belief distributions , 2013, Journal of the Royal Statistical Society. Series B, Statistical methodology.
[14] Sungho Park,et al. Handling Endogenous Regressors by Joint Estimation Using Copulas , 2012, Mark. Sci..
[15] V. Chernozhukov,et al. An MCMC Approach to Classical Estimation , 2002, 2301.07782.
[16] L. Tierney. Markov Chains for Exploring Posterior Distributions , 1994 .
[18] Oliver J. Rutz,et al. Endogeneity and marketing strategy research: an overview , 2019, Journal of the Academy of Marketing Science.
[19] A. Galvao,et al. On solving endogeneity with invalid instruments: an application to investment equations , 2018 .
[20] Damla Durak Usar,et al. Addressing endogeneity in the causal relationship between sustainability and financial performance , 2019, International Journal of Production Economics.
[21] J. Kiviet. Identification and Inference in a Simultaneous Equation Under Alternative Information Sets and Sampling Schemes , 2012 .
[22] Antonio F. Galvao,et al. Bayesian Endogeneity Bias Modeling , 2014 .
[23] A. Assaf,et al. Correcting for endogeneity in hospitality and tourism research , 2020, International Journal of Contemporary Hospitality Management.
[24] Kengo Kato,et al. Quasi-Bayesian analysis of nonparametric instrumental variables models , 2012, 1204.2108.
[25] John Geweke,et al. Interpretation and inference in mixture models: Simple MCMC works , 2007, Comput. Stat. Data Anal..
[26] P. Lenk,et al. Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs , 1996 .
[27] Michael P. Murray. Avoiding Invalid Instruments and Coping with Weak Instruments , 2006 .
[28] Jonathan H. Wright,et al. A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments , 2002 .
[29] Halbert White,et al. Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings , 1990, Neural Networks.
[30] J. Stock,et al. Instrumental Variables Regression with Weak Instruments , 1994 .
[31] Halbert White,et al. Learning in Artificial Neural Networks: A Statistical Perspective , 1989, Neural Computation.
[32] David Xiaosong Peng,et al. Addressing Endogeneity in Operations Management Research: Recent Developments, Common Problems, and Directions for Future Research , 2018, Journal of Operations Management.
[33] Jan F. Kiviet,et al. Comparing the asymptotic and empirical (un)conditional distributions of OLS and IV in a linear static simultaneous equation , 2012, Comput. Stat. Data Anal..