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Origins of the limited information maximum likelihood and two-stage least squares estimators

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  • Anderson, T.W.

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  • Anderson, T.W., 2005. "Origins of the limited information maximum likelihood and two-stage least squares estimators," Journal of Econometrics, Elsevier, vol. 127(1), pages 1-16, July.
    • Handle: RePEc:eee:econom:v:127:y:2005:i:1:p:1-16
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    Cited by:

    1. Lessmann, Christian, 2013. "Foreign direct investment and regional inequality: A panel data analysis," China Economic Review, Elsevier, vol. 24(C), pages 129-149.
    2. Eric Gautier & Christiern Rose, 2022. "Fast, Robust Inference for Linear Instrumental Variables Models using Self-Normalized Moments," Papers 2211.02249, arXiv.org, revised Nov 2022.
    3. T. W. Anderson & Naoto Kunitomo & Yukitoshi Matsushita, 2008. "On the Asymptotic Optimality of the LIML Estimator with Possibly Many Instruments," CIRJE F-Series CIRJE-F-542, CIRJE, Faculty of Economics, University of Tokyo.
    4. Liu, Bing & Yin, Weijun & Chen, Gang & Yao, Jing, 2023. "The threshold effect of climate risk and the non-linear role of climate policy uncertainty on insurance demand: Evidence from OECD countries," Finance Research Letters, Elsevier, vol. 55(PA).
    5. Anderson, T.W. & Kunitomo, Naoto & Matsushita, Yukitoshi, 2010. "On the asymptotic optimality of the LIML estimator with possibly many instruments," Journal of Econometrics, Elsevier, vol. 157(2), pages 191-204, August.
    6. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    7. Biørn, Erik, 2017. "Identification, Instruments, Omitted Variables, and Rudimentary Models: Fallacies in the ‘Experimental Approach’ to Econometrics," Memorandum 13/2017, Oslo University, Department of Economics.
    8. Georgios Efthyvoulou & Priit Vahter, 2016. "Financial Constraints, Innovation Performance and Sectoral Disaggregation," Manchester School, University of Manchester, vol. 84(2), pages 125-158, March.
    9. Calzolari, Giorgio, 2012. "Econometric notes," MPRA Paper 71440, University Library of Munich, Germany.
    10. Brockhaus, Jan & Kalkuhl, Matthias & Kozicka, Marta, 2016. "What Drives India’s Rice Stocks? Empirical Evidence," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235659, Agricultural and Applied Economics Association.
    11. Nan Hu & Kevin E. Dow & Alain Yee Loong Chong & Ling Liu, 2018. "Double learning or double blinding: an investigation of vendor private information acquisition and consumer learning via online reviews," Annals of Operations Research, Springer, vol. 270(1), pages 213-234, November.
    12. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    13. Joe Hirschberg & Jenny Lye, 2017. "Alternative Graphical Representations of the Confidence Intervals for the Structural Coefficient from Exactly Identified Two-Stage Least Squares," Department of Economics - Working Papers Series 2026, The University of Melbourne.
    14. Eduardo Polloni-Silva & Diogo Ferraz & Flávia de Castro Camioto & Daisy Aparecida do Nascimento Rebelatto & Herick Fernando Moralles, 2021. "Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    15. Mishra, SK, 2017. "A New Kind of Two-Stage Least Squares Based on Shapley Value Regression," MPRA Paper 83534, University Library of Munich, Germany.
    16. Janaka S. S. Liyanage & Jeremie H. Estepp & Kumar Srivastava & Sara R. Rashkin & Vivien A. Sheehan & Jane S. Hankins & Clifford M. Takemoto & Yun Li & Yuehua Cui & Motomi Mori & Stephen Burgess & Mich, 2022. "A Versatile and Efficient Novel Approach for Mendelian Randomization Analysis with Application to Assess the Causal Effect of Fetal Hemoglobin on Anemia in Sickle Cell Anemia," Mathematics, MDPI, vol. 10(20), pages 1-22, October.
    17. Alena Skolkova, 2023. "Instrumental Variable Estimation with Many Instruments Using Elastic-Net IV," CERGE-EI Working Papers wp759, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    18. Qinqin Hu & Lu Lin, 2022. "Feature Screening in High Dimensional Regression with Endogenous Covariates," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 949-969, October.
    19. Stephen Pollock, 2007. "Estimation of structural econometric equations (in Russian)," Quantile, Quantile, issue 2, pages 49-59, March.
    20. Anderson, T.W., 2006. "Reduced rank regression for blocks of simultaneous equations," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 55-76.
    21. Fang Hai & Miller Nolan H. & Rizzo John & Zeckhauser Richard, 2011. "Demanding Customers: Consumerist Patients and Quality of Care," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-51, September.
    22. Soderbery, Anson, 2015. "Estimating import supply and demand elasticities: Analysis and implications," Journal of International Economics, Elsevier, vol. 96(1), pages 1-17.
    23. Jaeger, David A. & Parys, Juliane, 2009. "On the Sensitivity of Return to Schooling Estimates to Estimation Methods, Model Specification, and Influential Outliers If Identification Is Weak," IZA Discussion Papers 3961, Institute of Labor Economics (IZA).

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