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Evaluation of the Distribution Function of the Limited Information Maximum Likelihood Estimator

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Cited by:

  1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
  2. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
  3. Anderson, T.W. & Kunitomo, Naoto & Matsushita, Yukitoshi, 2011. "On finite sample properties of alternative estimators of coefficients in a structural equation with many instruments," Journal of Econometrics, Elsevier, vol. 165(1), pages 58-69.
  4. Moral-Benito, Enrique & Bartolucci, Cristian, 2012. "Income and democracy: Revisiting the evidence," Economics Letters, Elsevier, vol. 117(3), pages 844-847.
  5. Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen & John C. Chao & Norman R. Swanson, 2012. "Instrumental variable estimation with heteroskedasticity and many instruments," Quantitative Economics, Econometric Society, vol. 3(2), pages 211-255, July.
  6. Ofria, Ferdinando & Millemaci, Emanuele, 2010. "Kaldor-Verdoorn’s law and increasing returns to scale: a comparison across developed countries," MPRA Paper 30941, University Library of Munich, Germany.
  7. Kunitomo, Naoto & Matsushita, Yukitoshi, 2009. "Asymptotic expansions and higher order properties of semi-parametric estimators in a system of simultaneous equations," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1727-1751, September.
  8. Anca D. Cristea, 2023. "The role of aviation networks for urban development," Journal of Regional Science, Wiley Blackwell, vol. 63(4), pages 947-980, September.
  9. Peter C. B. Phillips, 2022. "An Econometrician amongst Statisticians: T. W. Anderson," Cowles Foundation Discussion Papers 2333, Cowles Foundation for Research in Economics, Yale University.
  10. 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.
  11. Bekker, Paul A. & Ploeg, Jan van der, 2000. "Instrumental variable estimation based on grouped data," CCSO Working Papers 200009, University of Groningen, CCSO Centre for Economic Research.
  12. Forchini, Giovanni, 2010. "The Asymptotic Distribution Of The Liml Estimator In A Partially Identified Structural Equation," Econometric Theory, Cambridge University Press, vol. 26(3), pages 917-930, June.
  13. Christl, Michael & Köppl Turyna, Monika & Kucsera, Denes, 2015. "Employment effects of minimum wages in Europe revisited," MPRA Paper 65761, University Library of Munich, Germany.
  14. Matsushita, Yukitoshi & Otsu, Taisuke, 2023. "Second-order refinements for t-ratios with many instruments," Journal of Econometrics, Elsevier, vol. 232(2), pages 346-366.
  15. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
  16. Joshua D. Angrist & Stacey H. Chen, 2007. "Long-term consequences of vietnam-era conscription: schooling, experience, and earnings," NBER Working Papers 13411, National Bureau of Economic Research, Inc.
  17. repec:dgr:rugccs:200009 is not listed on IDEAS
  18. Islam Asadul & Smyth Russell, 2012. "The Economic Returns to Good Looks and Risky Sex in the Bangladesh Commercial Sex Market," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-25, May.
  19. Bonev, Petyo & Glachant, Matthieu & Söderberg, Magnus, 2020. "Testing the regulatory threat hypothesis: Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 62(C).
  20. Angrist, J D & Imbens, G W & Krueger, A B, 1999. "Jackknife Instrumental Variables Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 57-67, Jan.-Feb..
  21. Calzolari, Giorgio & Panattoni, Lorenzo, 1984. "A Simulation Study on FIML Covariance Matrix," MPRA Paper 28804, University Library of Munich, Germany.
  22. Gao, Chuanming & Lahiri, Kajal, 2000. "Further consequences of viewing LIML as an iterated Aitken estimator," Journal of Econometrics, Elsevier, vol. 98(2), pages 187-202, October.
  23. Calzolari, Giorgio, 1992. "Stima delle equazioni simultanee non-lineari: una rassegna [Estimation of nonlinear simultaneous equations: a survey]," MPRA Paper 24123, University Library of Munich, Germany, revised 1992.
  24. 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.
  25. repec:dgr:rugsom:95b24 is not listed on IDEAS
  26. Naoto Kunitomo, 2012. "An optimal modification of the LIML estimation for many instruments and persistent heteroscedasticity," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(5), pages 881-910, October.
  27. Yukitoshi Matsushita & Taisuke Otsu, 2020. "Second-order refinements for t-ratios with many instruments," STICERD - Econometrics Paper Series 612, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  28. Michael Christl & Monika Köppl‐Turyna & Dénes Kucsera, 2018. "Revisiting the Employment Effects of Minimum Wages in Europe," German Economic Review, Verein für Socialpolitik, vol. 19(4), pages 426-465, November.
  29. Alonso-Borrego, Cesar & Arellano, Manuel, 1999. "Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 36-49, January.
  30. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
  31. Patrik Guggenberger, 2006. "Finite-Sample Evidence Suggesting a Heavy Tail Problem of the Generalized Empirical Likelihood Estimator, accepted for publication, Econometric Reviews," UCLA Economics Online Papers 371, UCLA Department of Economics.
  32. Akashi, Kentaro & Kunitomo, Naoto, 2012. "Some properties of the LIML estimator in a dynamic panel structural equation," Journal of Econometrics, Elsevier, vol. 166(2), pages 167-183.
  33. Millemaci, Emanuele & Ofria, Ferdinando, 2016. "Supply and demand-side determinants of productivity growth in Italian regions," Structural Change and Economic Dynamics, Elsevier, vol. 37(C), pages 138-146.
  34. Hoffmann, Vivian, 2008. "Psychology, Gender, and the Intrahousehold Allocation of Free and Purchased Mosquito Nets," Working Papers 55282, University of Maryland, Department of Agricultural and Resource Economics.
  35. Daniel Eisenberg & Brian Rowe, 2008. "The Effects of Smoking in Young Adulthood on Smoking and Health Later in Life: Evidence Based on the Vietnam Era Draft Lottery," Working Papers 08-35, Center for Economic Studies, U.S. Census Bureau.
  36. Matsushita, Yukitoshi & Otsu, Taisuke, 2023. "Second-order refinements for t-ratios with many instruments," LSE Research Online Documents on Economics 111065, London School of Economics and Political Science, LSE Library.
  37. Oberhelman, Dennis & Rao Kadiyala, K., 2000. "Asymptotic probability concentrations and finite sample properties of modified LIML estimators for equations with more than two endogenous variables," Journal of Econometrics, Elsevier, vol. 98(1), pages 163-185, September.
  38. Ploeg, Jan van der & Bekker, Paul A., 1995. "Efficiency bounds for instrumental variable estimators under group-asymptotics," Research Report 95B24, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
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