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Citations of
Jinook Jeong

For current contact information and a more complete listing of works, please see here

The citations below have been collected in an experimental project, CitEc. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.

| Working papers | Articles | Access and download statistics

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Kang-Shik Choi & Jinook Jeong, 2005. "Technological change and wage premium in a small open economy: the case of Korea," Applied Economics, Taylor and Francis Journals, vol. 37(1), pages 119-131, January. [Downloadable!] (restricted)

    Cited by:

    1. Oscar Afonso, 2006. "Skill-biased technological knowledge without scale effects," Applied Economics, Taylor and Francis Journals, vol. 38(1), pages 13-21, January. [Downloadable!] (restricted)
    2. Gabriel Montes Rojas, 2006. "Skill premia in Mexico: demand and supply factors," Applied Economics Letters, Taylor and Francis Journals, vol. 13(14), pages 917-924, November. [Downloadable!] (restricted)

  2. Jeong, Jinook & Maddala, G S, 1996. "Testing the Rationality of Survey Data Using the Weighted Double-Bootstrapped Method of Moments," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 296-302, May. [Downloadable!] (restricted)

    Cited by:

    1. David Laster & Paul Bennett & In Sun Geoum, 1997. "Rational bias in macroeconomic forecasts," Staff Reports 21, Federal Reserve Bank of New York. [Downloadable!]
    2. David Laster & Paul Bennett & In Sun Geoum, 1996. "Rational bias in macroeconomic forecasts," Research Paper 9617, Federal Reserve Bank of New York. [Downloadable!]

  3. Maddala, G S & Jeong, Jinook, 1992. "On the Exact Small Sample Distribution of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 60(1), pages 181-83, January. [Downloadable!] (restricted)

    Cited by:

    1. Markus Frölich & Michael Lechner, 2006. "Exploiting regional treatment intensity for the evaluation of labour market policies," University of St. Gallen Department of Economics working paper series 2006 2006-12, Department of Economics, University of St. Gallen. [Downloadable!]
      Other versions:
    2. DUFOUR, Jean-Marie Dufour & KHALAF, Lynda & KICHIAN, Maral, 2005. "Inflation dynamics and the New Keynesian Phillips Curve: an identification robust econometric analysis," Cahiers de recherche 2005-17, Universite de Montreal, Departement de sciences economiques. [Downloadable!]
      Other versions:
    3. 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. [Downloadable!]
    4. Chuanming Gao & Kajal Lahiri, 2000. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometric Society World Congress 2000 Contributed Papers 0230, Econometric Society. [Downloadable!]
      Other versions:
    5. James H. Stock & Jonathan Wright, 1996. "Asymptotics for GMM Estimators with Weak Instruments," NBER Technical Working Papers 0198, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    6. J. Dufour, . "Some Impossibility Theorems in Econometrics with Applications to Instrumental Variables, Dynamic Models and Cointegration," Sonderforschungsbereich 373 1995-27, Humboldt Universitaet Berlin.
      Other versions:
    7. Jeong, Jinook & Yoon, Byung, 2007. "The Effect of Pseudo-exogenous Instrumental Variables on Hausman Test," MPRA Paper 9792, University Library of Munich, Germany. [Downloadable!]
    8. Peter C. B. Phillips, 2005. "A Remark on Bimodality and Weak Instrumentation in Structural Equation Estimation," Cowles Foundation Discussion Papers 1540, Cowles Foundation, Yale University. [Downloadable!]
      Other versions:
    9. Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," NBER Technical Working Papers 0204, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
      Other versions:
    10. Fröhlich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," CEPR Discussion Papers 4304, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
      Other versions:
    11. Joshua D. Angrist & Guido W. Imbens & Alan Krueger, 1995. "Jackknife Instrumental Variables Estimation," NBER Technical Working Papers 0172, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
      Other versions:
    12. Jean-Marie Dufour & Joanna Jasiak, 2000. "Finite Sample Inference Methods for Simultaneous Equations and Models with Unobserved and Generated Regressors," Econometric Society World Congress 2000 Contributed Papers 1536, Econometric Society. [Downloadable!]
      Other versions:
    13. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," Cowles Foundation Discussion Papers 1530, Cowles Foundation, Yale University. [Downloadable!]
      Other versions:
    14. Clémentine Florens & Eric Jondeau & Hervé Le Bihan, 2001. "Assessing GMM Estimates of the Federal Reserve Reaction Function," Econometrics 0111003, EconWPA. [Downloadable!]
      Other versions:
    15. Jean-Marie Dufour, 2001. "Logiques et tests d'hypothèses : réflexions sur les problèmes mal posés en économétrie," CIRANO Working Papers 2001s-40, CIRANO. [Downloadable!]
      Other versions:
    16. Mehlum, Halvor, 2004. "Exact Small Sample Properties of the Instrumental Variable Estimator. A View From a Different Angle," Memorandum 03/2004, Oslo University, Department of Economics. [Downloadable!]
    17. Giovanni Forchini, 2005. "On the Bimodality of the Exact Distribution of the TSLS Estimator," Monash Econometrics and Business Statistics Working Papers 14/05, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
      Other versions:
    18. Jinyong Hahn & Atsushi Inoue, 2002. "A Monte Carlo Comparison Of Various Asymptotic Approximations To The Distribution Of Instrumental Variables Estimators," Econometric Reviews, Taylor and Francis Journals, vol. 21(3), pages 309-336. [Downloadable!] (restricted)

  4. Berg, Sanford V & Jeong, Jinook, 1991. "An Evaluation of Incentive Regulation for Electric Utilities," Journal of Regulatory Economics, Springer, vol. 3(1), pages 45-55, March.

    Cited by:

    1. Jamasb, T. & Pollitt, M., 2001. "Benchmarking and Regulation of Electricity Transmission and Distribution Utilities: Lessons from International Experience," Cambridge Working Papers in Economics 0101, Faculty of Economics, University of Cambridge. [Downloadable!]

  5. Jeong, Jinook & Maddala, G S, 1991. "Measurement Errors and Tests for Rationality," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 431-39, October.

    Cited by:

    1. Pham Van Ha & Tom Kompas, 2008. "Productivity and Exchange Rate Dynamics: Supporting the Harrod-Balassa-Samuelson Hypothesis through an ‘Errors in Variables’ Analysis," International and Development Economics Working Papers idec08-03, International and Development Economics. [Downloadable!]
    2. Denyse L. Dagenais & Marcel Dagenais, 1995. "Higher Moment Estimators for Linear Regression Models With Errors in the Variables," CIRANO Working Papers 95s-13, CIRANO. [Downloadable!]
    3. Tobias F. Rötheli, 1999. "Selling prices and profits: what survey data tell about firms' rationality," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(6), pages 319-325.

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This page was last updated on 2009-12-23.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.