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Instrumental Variables

Author

Listed:
  • Bowden,Roger J.
  • Turkington,Darrell A.
Abstract
Recent advances in establishing the nature and scope of estimators in econometrics have shed more light on the importance of instrumental variables. In this book, the authors argue that such methods may be regarded as a strong organizing principle for a wide variety of estimation and hypothesis testing problems in econometrics and statistics. In support of this claim they present and develop the methodology of instrumental variables in its most general and explanatory form. They show, for instance, that techniques commonly used to handle simultaneity and related problems can be reduced to one of two generic variables of instrumental variables estimators, allowing them to explore further the conditions under which different proposed estimators are efficient.

Suggested Citation

  • Bowden,Roger J. & Turkington,Darrell A., 1990. "Instrumental Variables," Cambridge Books, Cambridge University Press, number 9780521385824, September.
  • Handle: RePEc:cup:cbooks:9780521385824
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    Cited by:

    1. Stoklosa, Michal & Shuval, Kerem & Drope, Jeffrey & Tchernis, Rusty & Pachucki, Mark & Yaroch, Amy & Harding, Matthew, 2018. "The intergenerational transmission of obesity: The role of time preferences and self-control," Economics & Human Biology, Elsevier, vol. 28(C), pages 92-106.
    2. Irfan Ullah & Sher Ali & Muhammad Haroon Shah & Farrah Yasim & Alam Rehman & Basheer M. Al-Ghazali, 2019. "Linkages between Trade, CO 2 Emissions and Healthcare Spending in China," IJERPH, MDPI, vol. 16(21), pages 1-15, November.
    3. Marco Crocco & Fabiana Santos & Pedro Amaral, 2010. "The Spatial Structure of Financial Development in Brazil," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 181-203.
    4. Mª Mar Sánchez, 2002. "Interest-Rate Models For Us And Uk With Mixed Inflationary Expectations. A Comparison With The Rational And The Adaptive Scheme," Working Papers. Serie AD 2002-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Pedro Amaral & Mauro Lemos & Rodrigo Simões & Flávia Chein, 2010. "Regional Imbalances and Market Potential in Brazil," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(4), pages 463-482.
    6. Rebecca Cleary & Rigoberto Lopez, 2014. "Supermarket responses to Wal-Mart Supercenter expansion: a structural approach," Empirical Economics, Springer, vol. 47(3), pages 905-925, November.
    7. Nalan Baştürk & Stefano Grassi & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Parallelization Experience with Four Canonical Econometric Models Using ParMitISEM," Econometrics, MDPI, vol. 4(1), pages 1-20, March.
    8. Tang, Zhaopei & Wang, Liehui & Wu, Wei, 2023. "The impact of high-speed rail on urban carbon emissions: Evidence from the Yangtze River Delta," Journal of Transport Geography, Elsevier, vol. 110(C).
    9. Dominik Rothenhäusler & Nicolai Meinshausen & Peter Bühlmann & Jonas Peters, 2021. "Anchor regression: Heterogeneous data meet causality," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(2), pages 215-246, April.
    10. Baştürk, Nalan & Grassi, Stefano & Hoogerheide, Lennart & Opschoor, Anne & van Dijk, Herman K., 2017. "The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i01).
    11. Viktoria Spaiser & Peter Hedström & Shyam Ranganathan & Kim Jansson & Monica K. Nordvik & David J. T. Sumpter, 2018. "Identifying Complex Dynamics in Social Systems," Sociological Methods & Research, , vol. 47(2), pages 103-135, March.
    12. Jorre T. A. Vannieuwenhuyze & Geert Loosveldt, 2013. "Evaluating Relative Mode Effects in Mixed-Mode Surveys:," Sociological Methods & Research, , vol. 42(1), pages 82-104, February.
    13. Ullah, Irfan & Zhang, Jiawei & Rehman, Alam & Zeeshan, Muhammad, 2022. "Linkages between trade openness, natural gas production and poverty in Pakistan: A simultaneous equation approach," Resources Policy, Elsevier, vol. 79(C).
    14. Zhou, Lixing & Takane, Yoshio & Hwang, Heungsun, 2016. "Dynamic GSCANO (Generalized Structured Canonical Correlation Analysis) with applications to the analysis of effective connectivity in functional neuroimaging data," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 93-109.
    15. Nalan Basturk & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2012. "The R Package MitISEM: Mixture of Student-t Distributions using Importance Sampling Weighted Expectation Maximization for Efficient and Robust Simulation," Tinbergen Institute Discussion Papers 12-096/III, Tinbergen Institute.
    16. Peter Bühlmann & Domagoj Ćevid, 2020. "Deconfounding and Causal Regularisation for Stability and External Validity," International Statistical Review, International Statistical Institute, vol. 88(S1), pages 114-134, December.
    17. Jesica Escobar & Alexander Poznyak, 2022. "Robust Parametric Identification for ARMAX Models with Non-Gaussian and Coloured Noise: A Survey," Mathematics, MDPI, vol. 10(8), pages 1-38, April.
    18. Duo Qin & Yanqun Zhang, 2013. "A History of Polyvalent Structural Parameters: the Case of Instrument Variable Estimators," Working Papers 183, Department of Economics, SOAS University of London, UK.
    19. Laurence C. Baker & Kenneth S. Corts, 1995. "The Effects of HMOs on Conventional Insurance Premiums: Theory and Evidence," NBER Working Papers 5356, National Bureau of Economic Research, Inc.
    20. Qin, Duo, 2015. "Resurgence of the endogeneity-backed instrumental variable methods," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-35.
    21. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    22. Antonio Bojanic, 2014. "The effect of coca and FDI on the level of corruption in Bolivia," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-23, December.
    23. Baker, Laurence C., 1997. "The effect of HMOs on fee-for-service health care expenditures: Evidence from Medicare," Journal of Health Economics, Elsevier, vol. 16(4), pages 453-481, August.
    24. Carlos Cinelli & Nathan LaPierre & Brian L. Hill & Sriram Sankararaman & Eleazar Eskin, 2022. "Robust Mendelian randomization in the presence of residual population stratification, batch effects and horizontal pleiotropy," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    25. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).

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