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Jinook Jeong

Personal Details

First Name:Jinook
Middle Name:
Last Name:Jeong
Suffix:
RePEc Short-ID:pje79
[This author has chosen not to make the email address public]
http://eclass.yonsei.ac.kr/jinook

Affiliation

School of Economics
College of Business and Economics
Yonsei University

Seoul, South Korea
http://economics.yonsei.ac.kr/

:


RePEc:edi:deyonkr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jinook Jeong & Hyunwoo Lee, 2018. "An Econometric Identification of Abnormally Low Bids in Procurement Market: Discriminant Analysis," Working papers 2018rwp-129, Yonsei University, Yonsei Economics Research Institute.
  2. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2017. "On the Efficiency of Racetrack Betting Market: A New Test for the Favorite-Longshot Bias," Working papers 2017rwp-106, Yonsei University, Yonsei Economics Research Institute.
  3. Jeong, Jinook & Yoon, Byung, 2007. "The Effect of Pseudo-exogenous Instrumental Variables on Hausman Test," MPRA Paper 9792, University Library of Munich, Germany.
  4. Jeong, Jinook & Kang, Byunguk, 2006. "Wild-Bootstrapped Variance Ratio Test for Autocorrelation in the Presence of Heteroskedasticity," MPRA Paper 9791, University Library of Munich, Germany, revised May 2008.
  5. Jeong, Jinook, 2006. "Bootstrap Tests Based on Goodness-of-Fit Measures for Nonnested Hypotheses in Regression Models," MPRA Paper 9789, University Library of Munich, Germany, revised Mar 2007.

Articles

  1. Kim, Bokyung & Jeong, Jinook, 2017. "Dynamics of adolescents’ life satisfaction and effect of class rank percentile: Evidence from Korean panel data," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 8-28.
  2. Yun Jeong Choi & Jinook Jeong, 2016. "Effects Of The Sunday Shopping Restriction In Korea," Contemporary Economic Policy, Western Economic Association International, vol. 34(1), pages 203-215, January.
  3. Kim, Dongha & Jeong, Jinook, 2016. "Electricity restructuring, greenhouse gas emissions efficiency and employment reallocation," Energy Policy, Elsevier, vol. 92(C), pages 468-476.
  4. Yun Jeong Choi & Jinook Jeong, 2015. "Testing for the Ratchet Effect in the R&D Tax Credit," International Economic Journal, Taylor & Francis Journals, vol. 29(2), pages 327-342, June.
  5. Sae Ran Koh & Jinook Jeong, 2014. "The Leniency Program In Korea And Its Effectiveness," Journal of Competition Law and Economics, Oxford University Press, vol. 10(1), pages 161-183.
  6. Jinook Jeong & Byunguk Kang, 2012. "Wild-bootstrapped variance-ratio test for autocorrelation in the presence of heteroskedasticity," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(7), pages 1531-1542, January.
  7. Joo-Yeon Hyun & Hyeong Ho Mun & Tae-Hwan Kim & Jinook Jeong, 2010. "The effect of a variance shift on the Breusch-Godfrey's LM test," Applied Economics Letters, Taylor & Francis Journals, vol. 17(4), pages 399-404.
  8. Chung, Yoon-Kyung & Jeong, Jinook, 2008. "Analysis of employment protection laws and unemployment benefits," Economics Letters, Elsevier, vol. 99(1), pages 144-146, April.
  9. Kang-Shik Choi & Jinook Jeong, 2007. "Does unmeasured ability explain the wage premium associated with technological change?: Quantile regression analysis," Applied Economics, Taylor & Francis Journals, vol. 39(9), pages 1163-1171.
  10. Kang-Shik Choi & Jinook Jeong, 2005. "Technological change and wage premium in a small open economy: the case of Korea," Applied Economics, Taylor & Francis Journals, vol. 37(1), pages 119-131.
  11. Jinook Jeong, 2004. "An Endogeneity-Corrected Bootstrap Test On Instrument Relevance In Instrumental Variables Estimation," Korean Economic Review, Korean Economic Association, vol. 20, pages 3-33.
  12. Jeong, Jinook & Chung, Seoung, 2001. "Bootstrap tests for autocorrelation," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 49-69, November.
  13. Jeong, Jinook & Lee, Kyoungwoo, 1999. "Bootstrapped White's test for heteroskedasticity in regression models," Economics Letters, Elsevier, vol. 63(3), pages 261-267, June.
  14. Jae Sang Lee & Martin J. Bailey & Jinook Jeong & Patrick D. Mauldin & William S. Weintraub, 1997. "A study on the cost-effectiveness of coronary revascularization: introducing the simultaneous mimic health status model," Health Economics, John Wiley & Sons, Ltd., vol. 6(6), pages 613-623.
  15. 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.
  16. Berg, Sanford V & Jeong, Jinook, 1994. "An Evaluation of Incentive Regulation: Corrections," Journal of Regulatory Economics, Springer, vol. 6(3), pages 321-328, September.
  17. Maddala, G S & Jeong, Jinook, 1992. "On the Exact Small Sample Distribution of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 60(1), pages 181-183, January.
  18. 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.
  19. Jeong, Jinook, 1991. "A Note on the Optimality of the Rational Expectations Hypothesis," Australian Economic Papers, Wiley Blackwell, vol. 30(57), pages 341-347, December.
  20. Jeong, Jinook & Maddala, G S, 1991. "Measurement Errors and Tests for Rationality," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 431-439, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jeong, Jinook & Yoon, Byung, 2007. "The Effect of Pseudo-exogenous Instrumental Variables on Hausman Test," MPRA Paper 9792, University Library of Munich, Germany.

    Cited by:

    1. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2012. "Identification-robust inference for endogeneity parameters in linear structural models," MPRA Paper 40695, University Library of Munich, Germany.
    2. Kiviet, Jan F. & Pleus, Milan, 2017. "The performance of tests on endogeneity of subsets of explanatory variables scanned by simulation," Econometrics and Statistics, Elsevier, vol. 2(C), pages 1-21.
    3. Firmin Doko Tchatoka & Jean-Marie Dufour, 2016. "Exogeneity tests, weak identification, incomplete models and non-Gaussian distributions: Invariance and finite-sample distributional theory," School of Economics Working Papers 2016-01, University of Adelaide, School of Economics.
    4. Firmin DOKO TCHATOKA & Jean-Marie DUFOUR, 2016. "Exogeneity Tests, Incomplete Models, Weak Identification and Non-Gaussian Distributions : Invariance and Finite-Sample Distributional Theory," Cahiers de recherche 14-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.

  2. Jeong, Jinook & Kang, Byunguk, 2006. "Wild-Bootstrapped Variance Ratio Test for Autocorrelation in the Presence of Heteroskedasticity," MPRA Paper 9791, University Library of Munich, Germany, revised May 2008.

    Cited by:

    1. Sohail Chand & Nuzhat Aftab, 2018. "Modified Variance Ratio Test for Autocorrelation in the Presence of Heteroskedasticity," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 1-19, Jan-June.

  3. Jeong, Jinook, 2006. "Bootstrap Tests Based on Goodness-of-Fit Measures for Nonnested Hypotheses in Regression Models," MPRA Paper 9789, University Library of Munich, Germany, revised Mar 2007.

    Cited by:

    1. Hilda Osafo Hounkpatin & Alex Wood & Gordon Brown & Graham Dunn, 2015. "Why does Income Relate to Depressive Symptoms? Testing the Income Rank Hypothesis Longitudinally," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 637-655, November.
    2. Tobias Schlueter & Soenke Sievers, 2014. "Determinants of market beta: the impacts of firm-specific accounting figures and market conditions," Review of Quantitative Finance and Accounting, Springer, vol. 42(3), pages 535-570, April.

Articles

  1. Kim, Bokyung & Jeong, Jinook, 2017. "Dynamics of adolescents’ life satisfaction and effect of class rank percentile: Evidence from Korean panel data," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 8-28.

    Cited by:

    1. Eunmi Kim & Sejoong Lee & Joonwhan David Lee, 2018. "Reaching Sustainable Financial Health: Gender Differences in Risk-Taking Patterns of Financially Excluded People," Sustainability, MDPI, Open Access Journal, vol. 10(4), pages 1-15, April.

  2. Kim, Dongha & Jeong, Jinook, 2016. "Electricity restructuring, greenhouse gas emissions efficiency and employment reallocation," Energy Policy, Elsevier, vol. 92(C), pages 468-476.

    Cited by:

    1. Valeria Costantini & Francesco Crespi & Elena Paglialunga, 2017. "The Employment Impact Of Private And Public Actions For Energy Efficiency: Evidence From European Industries," Departmental Working Papers of Economics - University 'Roma Tre' 0227, Department of Economics - University Roma Tre.
    2. Christopoulos, Stamatios & Demir, Cansu & Kull, Michael, 2016. "Cross-sectoral coordination for sustainable solutions in Croatia: The (meta) governance of energy efficiency," Energy Policy, Elsevier, vol. 99(C), pages 57-87.

  3. Jinook Jeong & Byunguk Kang, 2012. "Wild-bootstrapped variance-ratio test for autocorrelation in the presence of heteroskedasticity," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(7), pages 1531-1542, January.
    See citations under working paper version above.
  4. Joo-Yeon Hyun & Hyeong Ho Mun & Tae-Hwan Kim & Jinook Jeong, 2010. "The effect of a variance shift on the Breusch-Godfrey's LM test," Applied Economics Letters, Taylor & Francis Journals, vol. 17(4), pages 399-404.

    Cited by:

    1. Sohail Chand & Nuzhat Aftab, 2018. "Modified Variance Ratio Test for Autocorrelation in the Presence of Heteroskedasticity," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 1-19, Jan-June.
    2. Jinook Jeong & Byunguk Kang, 2012. "Wild-bootstrapped variance-ratio test for autocorrelation in the presence of heteroskedasticity," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(7), pages 1531-1542, January.

  5. Chung, Yoon-Kyung & Jeong, Jinook, 2008. "Analysis of employment protection laws and unemployment benefits," Economics Letters, Elsevier, vol. 99(1), pages 144-146, April.

    Cited by:

    1. Anesi, Vincent & De Donder, Philippe, 2009. "A Positive Theory of Unemployment Insurance and Employment Protection," CEPR Discussion Papers 7333, C.E.P.R. Discussion Papers.
    2. Vincent Anesi & Philippe De Donder, 2013. "A coalitional theory of unemployment insurance and employment protection," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(3), pages 941-977, April.
    3. Pesliakaite, Jurgita, 2015. "Determinants of unemployment in CEE-10 economies: the role of labour market institutions and the macroeconomic environment in 2002–2012," MPRA Paper 66041, University Library of Munich, Germany.

  6. Kang-Shik Choi & Jinook Jeong, 2007. "Does unmeasured ability explain the wage premium associated with technological change?: Quantile regression analysis," Applied Economics, Taylor & Francis Journals, vol. 39(9), pages 1163-1171.

    Cited by:

    1. Eric Bartelsman & Sabien Dobbelaere & Bettina Peters, 2013. "Allocation of Human Capital and Innovation at the Frontier: Firm-level Evidence on Germany and the Netherlands," Tinbergen Institute Discussion Papers 13-095/VII, Tinbergen Institute.
    2. Fu, Dahai & Wu, Yanrui, 2013. "Export wage premium in China's manufacturing sector: A firm level analysis," China Economic Review, Elsevier, vol. 26(C), pages 182-196.
    3. Fu, Dahai & Wu, Yanrui, 2011. "Exporting wage premium in the exporting sector: evidence from manufacturing firms in China," MPRA Paper 32721, University Library of Munich, Germany.
    4. Ming-Chi Chen & Chi-Lu Peng & So-De Shyu & Jhih-Hong Zeng, 2012. "Market States and the Effect on Equity REIT Returns due to Changes in Monetary Policy Stance," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 364-382, August.
    5. Hansa Jain, 2018. "Technological Change, Skill Supply and Wage Distribution: Comparison of High-Technology and Low-Technology Industries in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(2), pages 299-320, June.

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

    Cited by:

    1. Shandre Thangavelu & Aekapol Chongvilaivan, 2011. "The impact of material and service outsourcing on employment in Thailand's manufacturing industries," Applied Economics, Taylor & Francis Journals, vol. 43(27), pages 3931-3944.
    2. Oscar Afonso, 2006. "Skill-biased technological knowledge without scale effects," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 13-21.
    3. Jin-Long Liu & Chia-Hui Huang & Chih-Hai Yang, 2013. "Technological Change, Job Risk, and Wage Premium: Evidence from Taiwan," The Developing Economies, Institute of Developing Economies, vol. 51(2), pages 186-202, June.
    4. Óscar Afonso & Armando Silva, 2011. "Non-scale endogenous growth effects of subsidies for exporters," FEP Working Papers 429, Universidade do Porto, Faculdade de Economia do Porto.
    5. Yen, Meng-Feng, 2013. "The Wage Premium and Market Structure: The Case of South Korea and Taiwan," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151292, Agricultural and Applied Economics Association.
    6. Kang-Shik Choi & Jinook Jeong, 2007. "Does unmeasured ability explain the wage premium associated with technological change?: Quantile regression analysis," Applied Economics, Taylor & Francis Journals, vol. 39(9), pages 1163-1171.
    7. Hansa Jain, 2018. "Technological Change, Skill Supply and Wage Distribution: Comparison of High-Technology and Low-Technology Industries in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(2), pages 299-320, June.
    8. Gabriel Montes Rojas, 2006. "Skill premia in Mexico: demand and supply factors," Applied Economics Letters, Taylor & Francis Journals, vol. 13(14), pages 917-924.

  8. Jeong, Jinook & Chung, Seoung, 2001. "Bootstrap tests for autocorrelation," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 49-69, November.

    Cited by:

    1. Godfrey, L.G., 2007. "Alternative approaches to implementing Lagrange multiplier tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3282-3295, April.
    2. Kwan, Andy C.C. & Sim, Ah-Boon & Wu, Yangru, 2005. "A comparative study of the finite-sample performance of some portmanteau tests for randomness of a time series," Computational Statistics & Data Analysis, Elsevier, vol. 48(2), pages 391-413, February.
    3. Mantalos Panagiotis, 2003. "Bootstrapping the Breusch-Godfrey autocorrelation test for a single equation dynamic model: Bootstrapping the Restricted vs. Unrestricted model," Monte Carlo Methods and Applications, De Gruyter, vol. 9(3), pages 257-269, September.

  9. Jeong, Jinook & Lee, Kyoungwoo, 1999. "Bootstrapped White's test for heteroskedasticity in regression models," Economics Letters, Elsevier, vol. 63(3), pages 261-267, June.

    Cited by:

    1. Jeong, Jinook & Chung, Seoung, 2001. "Bootstrap tests for autocorrelation," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 49-69, November.
    2. Ando, Masakazu & Hodoshima, Jiro, 2007. "A note on bootstrapped White's test for heteroskedasticity in regression models," Economics Letters, Elsevier, vol. 97(1), pages 46-51, October.

  10. 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.

    Cited by:

    1. Agnieszka Markiewicz & Andreas Pick, 2013. "Adaptive Learning and Survey Data," CDMA Working Paper Series 201305, Centre for Dynamic Macroeconomic Analysis.
    2. Roman Horvath & Jakub Mateju, 2011. "How are Inflation Targets Set?," Working Papers 2011/06, Czech National Bank.
    3. Laster, David S. & Bennett, Paul & Geoum, In Sun, 1997. "Rational bias in macroeconomic forecasts," Staff Reports 21, Federal Reserve Bank of New York.
    4. Pinto, Santiago & Sarte, Pierre-Daniel G. & Sharp, Robert, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    5. Higgins, Matthew L. & Mishra, Sagarika, 2012. "State dependent asymmetric loss and the consensus forecast of real U.S. GDP growth," Working Papers fe_2012_10, Deakin University, Department of Economics.
    6. David Laster & Paul Bennett & In Sun Geoum, 1996. "Rational bias in macroeconomic forecasts," Research Paper 9617, Federal Reserve Bank of New York.
    7. Ali, Syed Zahid & Anwar, Sajid, 2017. "Exchange rate pass through, cost channel to monetary policy transmission, adaptive learning, and the price puzzle," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 69-82.
    8. Pierre-Daniel G. Sarte, 2010. "Learning about informational rigidities from sectoral data and diffusion indices," Working Paper 10-09, Federal Reserve Bank of Richmond.

  11. Maddala, G S & Jeong, Jinook, 1992. "On the Exact Small Sample Distribution of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 60(1), pages 181-183, January.

    Cited by:

    1. 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.
    2. Simon A. Broda & Raymond Kan, 2016. "On distributions of ratios," Biometrika, Biometrika Trust, vol. 103(1), pages 205-218.
    3. Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
    4. Jan F. Kiviet, 2012. "Identification and Inference in a Simultaneous Equation under Alternative Information Sets and Sampling Schemes," Tinbergen Institute Discussion Papers 12-128/III, Tinbergen Institute.
    5. Forchini, G., 2006. "On The Bimodality Of The Exact Distribution Of The Tsls Estimator," Econometric Theory, Cambridge University Press, vol. 22(05), pages 932-946, October.
    6. Frölich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," IZA Discussion Papers 1095, Institute of Labor Economics (IZA).
    7. DUFOUR, Jean-Marie, 2001. "Logique et tests d'hypotheses: reflexions sur les problemes mal poses en econometrie," Cahiers de recherche 2001-15, Universite de Montreal, Departement de sciences economiques.
    8. Frölich, Markus & Lechner, Michael, 2010. "Exploiting Regional Treatment Intensity for the Evaluation of Labor Market Policies," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1014-1029.
    9. Jean-Marie Dufour, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," CIRANO Working Papers 2003s-49, CIRANO.
    10. Halvor Mehlum, 2009. "On the Geometry of the Instrumental Variable Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 427-435, June.
    11. 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.
    12. Michael Lechner & Markus Froelich, 2010. "Combining Matching and Nonparametric IV Estimation: Theory and an Application to the Evaluation of Active Labour Market Policies," University of St. Gallen Department of Economics working paper series 2010 2010-21, Department of Economics, University of St. Gallen.
    13. Dufour, Jean-Marie, 2001. "Logique et tests d’hypothèses," L'Actualité Economique, Société Canadienne de Science Economique, vol. 77(2), pages 171-190, juin.
    14. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    15. 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.
    16. Jan F. Kiviet & Jerzy Niemczyk, 2014. "On the Limiting and Empirical Distributions of IV Estimators When Some of the Instruments are Actually Endogenous," Advances in Econometrics,in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 425-490 Emerald Publishing Ltd.
    17. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    18. Peter C. B. Phillips, 2005. "A Remark on Bimodality and Weak Instrumentation in Structural Equation Estimation," Cowles Foundation Discussion Papers 1540, Cowles Foundation for Research in Economics, Yale University.
    19. Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," NBER Technical Working Papers 0204, National Bureau of Economic Research, Inc.
    20. Tao Chen & Gautam Tripathi, 2013. "Testing conditional symmetry without smoothing," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(2), pages 273-313, June.
    21. DUFOUR, Jean-Marie & TAAMOUTI, Mohamed, 2003. "Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments," Cahiers de recherche 08-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    22. Joshua D. Angrist & Guido W. Imbens & Alan Krueger, 1995. "Jackknife Instrumental Variables Estimation," NBER Technical Working Papers 0172, National Bureau of Economic Research, Inc.
    23. Zongwu Cai & Henong Li, 2013. "Convergency and Divergency of Functional Coefficient Weak Instrumental Variables Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    24. Mittelhammer, Ronald C. & Judge, George G. & Schoenberg, Ron, 2003. "Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods," CUDARE Working Papers 25090, University of California, Berkeley, Department of Agricultural and Resource Economics.
    25. Jeong, Jinook & Yoon, Byung, 2007. "The Effect of Pseudo-exogenous Instrumental Variables on Hausman Test," MPRA Paper 9792, University Library of Munich, Germany.
    26. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2005. "Inflation Dynamics and the New Keynesian Phillips Curve: an Identification Robust Econometric Analysis," CIRANO Working Papers 2005s-30, CIRANO.
    27. 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.
    28. Blomquist, Soren, 1996. "Estimation methods for male labor supply functions How to take account of nonlinear taxes," Journal of Econometrics, Elsevier, vol. 70(2), pages 383-405, February.
    29. James H. Stock & Jonathan Wright, 1996. "Asymptotics for GMM Estimators with Weak Instruments," NBER Technical Working Papers 0198, National Bureau of Economic Research, Inc.
    30. Clémentine Florens & Eric Jondeau & Hervé Le Bihan, 2001. "Assessing GMM Estimates of the Federal Reserve Reaction Function," Econometrics 0111003, University Library of Munich, Germany.
    31. Forchini, Giovanni, 2007. "The exact distribution of the TSLS estimator for a non-Gaussian just-identified linear structural equation," Economics Letters, Elsevier, vol. 95(1), pages 117-123, April.
    32. Jinyong Hahn & Atsushi Inoue, 2002. "A Monte Carlo Comparison Of Various Asymptotic Approximations To The Distribution Of Instrumental Variables Estimators," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 309-336.

  12. 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. Fumitoshi Mizutani & Eri Nakamura, 2019. "Regulation, public interest, and private interest: an empirical investigation of firms in Japan," Empirical Economics, Springer, vol. 56(4), pages 1433-1454, April.
    2. Anna Ter-Martirosyan & John Kwoka, 2010. "Incentive regulation, service quality, and standards in U.S. electricity distribution," Journal of Regulatory Economics, Springer, vol. 38(3), pages 258-273, December.
    3. Fumitoshi Mizutani & Eri Nakamura, 2016. "Factors Affecting Inefficiency Level: Stochastic Frontier Analysis of Public Utility Firms in Japan," Discussion Papers 2016-02, Kobe University, Graduate School of Business Administration.
    4. Fumitoshi Mizutani & Eri Nakamura, 2017. "How do governance factors affect inefficiency? Stochastic frontier analysis of public utility firms in Japan," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(3), pages 267-289, September.
    5. Fumitoshi Mizutani & Eri Nakamura, 2013. "Regulation, Competition, Diversification, Governance and Costs: An Empirical Analysis of Public Utility and Manufacturing Firms in Japan," Discussion Papers 2013-25, Kobe University, Graduate School of Business Administration.
    6. 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.
    7. Fumitoshi Mizutani & Eri Nakamura, 2014. "What Most Affects A Firm' s Costs: Internal or External Factors, or Both?," Discussion Papers 2014-22, Kobe University, Graduate School of Business Administration.
    8. Kim, Dongha & Jeong, Jinook, 2016. "Electricity restructuring, greenhouse gas emissions efficiency and employment reallocation," Energy Policy, Elsevier, vol. 92(C), pages 468-476.
    9. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    10. Castro Rodríguez, Fidel & Rodríguez Romero, Luis, 1994. "Aspectos económicos de la configuración del sector eléctrico en España: ¿ Una falsa competencia referencial?," DE - Documentos de Trabajo. Economía. DE 3029, Universidad Carlos III de Madrid. Departamento de Economía.

  13. Jeong, Jinook & Maddala, G S, 1991. "Measurement Errors and Tests for Rationality," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(4), pages 431-439, October.

    Cited by:

    1. Denyse L. Dagenais & Marcel Dagenais, 1995. "Higher Moment Estimators for Linear Regression Models With Errors in the Variables," CIRANO Working Papers 95s-13, CIRANO.
    2. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    3. Chong, Terence Tai Leung & Chen, Haiqiang & Wong, Tsz Nga & Yan, Isabel K., 2015. "Estimation and Inference of Threshold Regression Models with Measurement Errors," MPRA Paper 68457, University Library of Munich, Germany.
    4. Silva Lopes, Artur, 1994. "A "hipótese das expectativas racionais": teoria e realidade (uma visita guiada à literatura até 1992)
      [The "rational expectations hypothesis": theory and reality (a guided tour
      ," MPRA Paper 9699, University Library of Munich, Germany, revised 23 Jul 2008.
    5. Artur C. B. Da Silva Lopes, 1998. "On the 'restricted cointegration test' as a test of the rational expectations hypothesis," Applied Economics, Taylor & Francis Journals, vol. 30(2), pages 269-278, February.
    6. Dagenais, Marcel G. & Dagenais, Denyse L., 1997. "Higher moment estimators for linear regression models with errors in the variables," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 193-221.
    7. 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.
    8. Davies, Anthony & Lahiri, Kajal, 1995. "A new framework for analyzing survey forecasts using three-dimensional panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 205-227, July.
    9. 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.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2008-08-14 2018-11-05
  2. NEP-COM: Industrial Competition (1) 2018-11-05
  3. NEP-ETS: Econometric Time Series (1) 2008-08-14
  4. NEP-ORE: Operations Research (1) 2008-08-14
  5. NEP-SEA: South East Asia (1) 2017-09-17

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