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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://web.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. Jinook Jeong & Hyunwoo Lee & Jung Jae Kim, 2024. "An econometric identification of abnormally low bids in the procurement market: discriminant analysis," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(1), pages 211-234, March.
  2. Jiyoung Lee & Jung Jae Kim & Jinook Jeong, 2022. "An Empirical Assessment of Collusion in the Negotiable Certificates of Deposit Market in Korea: A Discriminant Analysis," Asian Economic Journal, East Asian Economic Association, vol. 36(2), pages 203-223, June.
  3. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2019. "On the efficiency of racetrack betting market: a new test for the favourite-longshot bias," Applied Economics, Taylor & Francis Journals, vol. 51(54), pages 5817-5828, November.
  4. 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.
  5. 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.
  6. Kim, Dongha & Jeong, Jinook, 2016. "Electricity restructuring, greenhouse gas emissions efficiency and employment reallocation," Energy Policy, Elsevier, vol. 92(C), pages 468-476.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Chung, Yoon-Kyung & Jeong, Jinook, 2008. "Analysis of employment protection laws and unemployment benefits," Economics Letters, Elsevier, vol. 99(1), pages 144-146, April.
  12. 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.
  13. 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.
  14. 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.
  15. Jeong, Jinook & Chung, Seoung, 2001. "Bootstrap tests for autocorrelation," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 49-69, November.
  16. Jeong, Jinook & Lee, Kyoungwoo, 1999. "Bootstrapped White's test for heteroskedasticity in regression models," Economics Letters, Elsevier, vol. 63(3), pages 261-267, June.
  17. 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, November.
  18. 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.
  19. Berg, Sanford V & Jeong, Jinook, 1994. "An Evaluation of Incentive Regulation: Corrections," Journal of Regulatory Economics, Springer, vol. 6(3), pages 321-328, September.
  20. 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.
  21. 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.
  22. 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.
  23. 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. 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.

    Cited by:

    1. Zhang, Chi & Thijssen, Jacco, 2022. "On sticky bookmaking as a learning device in horse-racing betting markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

  2. 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. 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.
    3. 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.
    4. 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 and Public Policy Working Papers 2016-01, University of Adelaide, School of Economics and Public Policy.

  3. 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.

  4. 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. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2019. "On the efficiency of racetrack betting market: a new test for the favourite-longshot bias," Applied Economics, Taylor & Francis Journals, vol. 51(54), pages 5817-5828, November.
    See citations under working paper version above.
  2. 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. Fawaz, Yarine & Lee, Junhee, 2022. "Rank comparisons amongst teenagers and suicidal ideation," Economics & Human Biology, Elsevier, vol. 44(C).
    2. Bai, Chen & Chen, Xiaomeng & Han, Keqing, 2020. "Mobile phone addiction and school performance among Chinese adolescents from low-income families: A moderated mediation model," Children and Youth Services Review, Elsevier, vol. 118(C).
    3. Eunmi Kim & Sejoong Lee & Joonwhan David Lee, 2018. "Reaching Sustainable Financial Health: Gender Differences in Risk-Taking Patterns of Financially Excluded People," Sustainability, MDPI, vol. 10(4), pages 1-15, April.

  3. 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. Jangkung Raharjo & Basuki Rahmat & Jaspar Hasudungan, 2022. "Monitoring Indonesia s Energy Mix Achievement Using Simple Linear Regression," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 143-148, March.
    2. Lilis Yuaningsih & R. Adjeng Mariana Febrianti & Hafiz Waqas Kamran, 2021. "Climate Change and Energy Consumption Patterns in Thailand: Time Trends During 1988-2013," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 571-576.
    3. 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.
    4. 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.

  4. 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.

    Cited by:

    1. Juan Luis Jiménez & Manuel Ojeda-Cabral & José Manuel Ordóñez-de-Haro, 2023. "Who Blows the Whistle on Cartels? Finding the Leniency Applicant at the European Commission," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 63(2), pages 123-153, September.

  5. 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.
  6. 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. 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.
    2. 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.

  7. 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. De Donder, Philippe & Anesi, Vincent, 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.

  8. 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. Carli Bezuidenhout & Marianne Matthee & Neil Rankin, 2021. "Exporting and the wage premium: The case of South African manufacturing firms," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2031-2051, November.
    3. Dahai Fu & Yanrui Wu, 2011. "Export Wage Premium in China's Manufacturing Sector: A Firm Level Analysis," Economics Discussion / Working Papers 11-22, The University of Western Australia, Department of Economics.
    4. 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.
    5. 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.
    6. 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.

  9. 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. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    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. 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. Oscar Afonso, 2006. "Skill-biased technological knowledge without scale effects," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 13-21.
    9. 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.

  10. 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. Kenneth T. Bogen & Edwin D. Jones & Larry E. Fischer, 2007. "Hurricane Destructive Power Predictions Based on Historical Storm and Sea Surface Temperature Data," Risk Analysis, John Wiley & Sons, vol. 27(6), pages 1497-1517, December.
    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.
    4. 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.
    5. Hella, Heikki, 2003. "On robust ESACF identification of mixed ARIMA models," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2003_027, July.

  11. 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. Heather Carle & Linda Brewer, . "The United Kingdom Modern Slavery Act: Are we making progress? A look at organizational commitment to eradicating modern slavery," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    2. Jeong, Jinook & Chung, Seoung, 2001. "Bootstrap tests for autocorrelation," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 49-69, November.
    3. 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.

  12. 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, November.

    Cited by:

    1. Tanu Gupta & A. Ganesh Kumar, 2020. "Structural equation approach to modelling social norms in female education: A Case study of India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-32, Indira Gandhi Institute of Development Research, Mumbai, India.

  13. 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. Santiago Pinto & Pierre-Daniel G. Sarte & Robert Sharp, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    2. 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.
    3. Paul Bennett & In Sun Geoum & David S. Laster, 1996. "Rational bias in macroeconomic forecasts," Research Paper 9617, Federal Reserve Bank of New York.
    4. 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.
    5. Roman Horváth & Jakub Matějů, 2011. "How Are Inflation Targets Set?," Working Papers IES 2011/01, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2011.
    6. Pierre‐Daniel Sarte, 2014. "When Is Sticky Information More Information?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1345-1379, October.
    7. Markiewicz, Agnieszka & Pick, Andreas, 2014. "Adaptive learning and survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 685-707.
    8. Paul Bennett & In Sun Geoum & David S. Laster, 1997. "Rational bias in macroeconomic forecasts," Staff Reports 21, Federal Reserve Bank of New York.
    9. Pierre-Daniel G. Sarte, 2010. "Learning about informational rigidities from sectoral data and diffusion indices," Working Paper 10-09, Federal Reserve Bank of Richmond.
    10. Santiago Pinto & Pierre-Daniel Sarte & Robert Sharp, 2020. "The Information Content and Statistical Properties of Diffusion Indexes," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 47-99, September.

  14. 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. 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.
    3. Forchini, G., 2006. "On The Bimodality Of The Exact Distribution Of The Tsls Estimator," Econometric Theory, Cambridge University Press, vol. 22(5), pages 932-946, October.
    4. 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).
    5. 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.
    6. Jean-Marie Dufour, 2003. "Identification, Weak Instruments and Statistical Inference in Econometrics," CIRANO Working Papers 2003s-49, CIRANO.
    7. 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.
    8. 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.
    9. Frölich, Markus & Lechner, Michael, 2006. "Exploiting Regional Treatment Intensity for the Evaluation of Labour Market Policies," IZA Discussion Papers 2144, Institute of Labor Economics (IZA).
    10. 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.
    11. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    12. 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.
    13. Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," NBER Technical Working Papers 0204, National Bureau of Economic Research, Inc.
    14. Tao Chen & Gautam Tripathi, 2013. "Testing conditional symmetry without smoothing," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(2), pages 273-313, June.
    15. Simon A. Broda & Raymond Kan, 2013. "On Distributions of Ratios," UvA-Econometrics Working Papers 13-10, Universiteit van Amsterdam, Dept. of Econometrics.
    16. 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.
    17. 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.
    18. Zongwu Cai & Ying Fang & Henong Li, 2012. "Weak Instrumental Variables Models for Longitudinal Data," Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 361-389.
    19. 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.
    20. 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.
    21. James H. Stock & Jonathan Wright, 1996. "Asymptotics for GMM Estimators with Weak Instruments," NBER Technical Working Papers 0198, National Bureau of Economic Research, Inc.
    22. Clémentine Florens & Eric Jondeau & Hervé Le Bihan, 2001. "Assessing GMM Estimates of the Federal Reserve Reaction Function," Econometrics 0111003, University Library of Munich, Germany.
    23. Lucio Sarno & Mark P. Taylor, "undated". "Real Interest Rates, Liquidity Constraints and Financial Deregulation: Private Consumption Behaviour in the UK," Economics and Finance Discussion Papers 97-12, Economics and Finance Section, School of Social Sciences, Brunel University.
    24. Jan F. Kiviet, 2013. "Identification and inference in a simultaneous equation under alternative information sets and sampling schemes," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 24-59, February.
    25. 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.
    26. Jean‐Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 767-808, November.
    27. 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..
    28. Jan F. KIVIET & Jerzy NIEMCZYK, 2013. "On the limiting and empirical distributions of IV estimators when some of the instruments are actually endogenous," Economic Growth Centre Working Paper Series 1311, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    29. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    30. 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.
    31. Dufour, Jean-Marie, 2001. "Logique et tests d’hypothèses," L'Actualité Economique, Société Canadienne de Science Economique, vol. 77(2), pages 171-190, juin.
    32. 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.
    33. Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
    34. 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.
    35. Jeong, Jinook & Yoon, Byung, 2007. "The Effect of Pseudo-exogenous Instrumental Variables on Hausman Test," MPRA Paper 9792, University Library of Munich, Germany.
    36. 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.

  15. 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, 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.
    4. Jayanath Ananda & Nicholas Pawsey & Tahmid Nayeem, 2022. "Customer‐centric regulation: The case of Victorian urban water sector," Regulation & Governance, John Wiley & Sons, vol. 16(2), pages 536-556, April.
    5. 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.
    6. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    7. Rodríguez Romero, Luis & Castro Rodríguez, Fidel, 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.
    8. 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.
    9. 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.
    10. 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.
    11. Kim, Dongha & Jeong, Jinook, 2016. "Electricity restructuring, greenhouse gas emissions efficiency and employment reallocation," Energy Policy, Elsevier, vol. 92(C), pages 468-476.

  16. 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. Karali, Berna & Isengildina Massa, Olga & Irwin, Scott H., 2018. "Does Noise in Market Expectations Dilute Price Reactions to USDA Reports?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273973, Agricultural and Applied Economics Association.
    4. Chong Terence Tai-Leung & Chen Haiqiang & Wong Tsz-Nga & Yan Isabel Kit-Ming, 2018. "Estimation and inference of threshold regression models with measurement errors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(2), pages 1-16, April.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
    11. Jing Tian & Firmin Doko Tchatoka & Thomas Goodwin, 2022. "Are internally consistent forecasts rational?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1338-1355, November.
    12. 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.
    13. Philip Hans Franses, 2021. "Testing bias in professional forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1086-1094, September.

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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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