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Bonggeun Kim

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Ma, Hengyun & Oxley, Les & Gibson, John & Kim, Bonggeun, 2008. "China's energy economy: Technical change, factor demand and interfactor/interfuel substitution," Energy Economics, Elsevier, vol. 30(5), pages 2167-2183, September.

    Mentioned in:

    1. Long-run Estimates of Interfuel and Interfactor Elasticities
      by noreply@blogger.com (David Stern) in Stochastic Trend on 2016-01-20 16:11:00
  2. Chul Chung & Jeremy Clark & Bonggeun Kim, 2008. "Is the Growing Skill Premium a Purely Metropolitan Issue?," Working Papers in Economics 08/10, University of Canterbury, Department of Economics and Finance.

    Mentioned in:

    1. Paper(s) of the Day
      by ryan in The bellows on 2008-06-19 02:22:28

Working papers

  1. John Gibson & Bonggeun Kim, 2011. "How Reliable are Household Expenditures as a Proxy for Permanent Income? Implications for the Income-Nutrition Relationship," Working Papers in Economics 11/03, University of Waikato.

    Cited by:

    1. Florian Wendelspiess Ch�vez Ju�rez, 2015. "Measuring Inequality of Opportunity with Latent Variables," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 16(1), pages 106-121, February.
    2. John Gibson, 2016. "Measuring Chronic Hunger from Diet Snapshots: Why 'Bottom up' Survey Counts and 'Top down' FAO Estimates Will Never Meet," Working Papers in Economics 16/07, University of Waikato.
    3. Macha, Radomír & Weinzettel, Jan & Ščasný, Milan, 2018. "Environmental impact of consumption by Czech households: hybrid input–output analysis linked to household consumption data," MPRA Paper 106599, University Library of Munich, Germany.
    4. Farr, Marina & Stoeckl, Natalie & Alam Beg, Rabiul, 2014. "The non-consumptive (tourism) ‘value’ of marine species in the Northern section of the Great Barrier Reef," Marine Policy, Elsevier, vol. 43(C), pages 89-103.
    5. Friedman, Jed & Beegle, Kathleen & De Weerdt, Joachim & Gibson, John, 2017. "Decomposing response error in food consumption measurement: Implications for survey design from a randomized survey experiment in Tanzania," Food Policy, Elsevier, vol. 72(C), pages 94-111.

  2. Gibson, John & Kim, Bonggeun & Stillman, Steven & Boe-Gibson, Geua, 2011. "Time to Vote?," IZA Discussion Papers 5854, Institute of Labor Economics (IZA).
    • John Gibson & Bonggeun Kim & Steven Stillman & Geua Boe-Gibson, 2013. "Time to vote?," Public Choice, Springer, vol. 156(3), pages 517-536, September.

    Cited by:

    1. Roland Hodler & Simon Luechinger & Alois Stutzer, 2015. "The Effects of Voting Costs on the Democratic Process and Public Finances," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 141-171, February.
    2. Niklas Potrafke & Felix Rösel, 2016. "Opening Hours of Polling Stations and Voter Turnout: Evidence from a Natural Experiment," CESifo Working Paper Series 6036, CESifo.
    3. Christine Fauvelle-Aymar & Abel François, 2018. "Place of registration and place of residence: the non-linear detrimental impact of transportation cost on electoral participation," Post-Print hal-02506050, HAL.
    4. Tim Powlowski & Dennis Coates, 2013. "The habit for voting, “civic duty” and travel distance," UMBC Economics Department Working Papers 13-05, UMBC Department of Economics.
    5. Guillem Riambau & Steven Stillman & Geua Boe-Gibson, 2021. "What determines preferences for an electoral system? Evidence from a binding referendum," Public Choice, Springer, vol. 186(1), pages 179-208, January.
    6. Fredriksson, Anders, 2017. "Location-allocation of public services – Citizen access, transparency and measurement. A method and evidence from Brazil and Sweden," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 1-12.
    7. Niklas Potrafke & Felix Rösel, 2018. "Welche Folgen haben längere Öffnungszeiten von Wahllokalen?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(05), pages 23-26, March.

  3. John Gibson & Bonggeun Kim, 2009. "Non-Classical Measurement Error in Long-Term Retrospective Recall Surveys," CIRJE F-Series CIRJE-F-658, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. John Gibson & Kathleen Beegle & Joachim De Weerdt & Jed Friedman, 2015. "What does Variation in Survey Design Reveal about the Nature of Measurement Errors in Household Consumption?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 466-474, June.
    2. Niño-Zarazúa, Miguel & Chiripanhura, Blessing, 2013. "The impacts of the food, fuel and financial crises on households in Nigeria. A retrospective approach for research enquiry," MPRA Paper 47348, University Library of Munich, Germany.
    3. John Gibson, 2020. "Better Night Lights Data, For Longer," CSAE Working Paper Series 2020-08, Centre for the Study of African Economies, University of Oxford.
    4. Blessing M. Chiripanhura & Miguel Niño-Zarazúa, 2016. "The impacts of the food, fuel and financial crises on poor and vulnerable households in Nigeria: A retrospective approach to research inquiry," Development Policy Review, Overseas Development Institute, vol. 34(6), pages 763-788, November.
    5. Li, Chao & Gibson, John, 2013. "Rising Regional Inequality in China: Fact or Artifact?," World Development, Elsevier, vol. 47(C), pages 16-29.
    6. Abay, Kibrom A. & Abate, Gashaw & Barrett, Christopher B. & Bernard, Tanguy, 2018. "Correlated Non-Classical Measurement Errors, ‘Second Best’ Policy Inference and the Inverse Size-Productivity Relationship in Agriculture," 2018 Annual Meeting, August 5-7, Washington, D.C. 274248, Agricultural and Applied Economics Association.
    7. Kibrom A. Abay & Leah Bevis & Christopher B. Barrett, 2019. "Measurement Error Mechanisms Matter: Agricultural Intensification with Farmer Misperceptions and Misreporting," NBER Working Papers 26066, National Bureau of Economic Research, Inc.
    8. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    9. Marcus Klemm, 2011. "You Don't Know What You've Got till It's Gone!: Unemployment and Intertemporal Changes in Self-Reported Life Satisfaction," SOEPpapers on Multidisciplinary Panel Data Research 421, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Ragui Assaad & Caroline Krafft & Shaimaa Yassin, 2016. "Comparing Retrospective and Panel Data Collection Methods to Assess Labor Market Dynamics," Working Papers 994, Economic Research Forum, revised Apr 2016.
    11. Bonggeun Kim & John Gibson & Chul Chung, 2017. "Using Panel Data to Estimate Income Under-Reporting by the Self-Employed," Manchester School, University of Manchester, vol. 85(1), pages 41-64, January.
    12. Jorik Vergauwen & Jonas Wood & David De Wachter & Karel Neels, 2015. "Quality of demographic data in GGS Wave 1," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(24), pages 723-774.
    13. Klemm, Marcus, 2011. "You Don't Know what You've got till It's Gone! Unemployment and Intertemporal Changes in Self-Reported Life Satisfaction," Ruhr Economic Papers 297, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. José Pulido & Tomasz Swiecki, 2019. "Barriers to Mobility or Sorting? Sources and Aggregate Implications of Income Gaps across Sectors and Locations in Indonesia," 2019 Meeting Papers 1298, Society for Economic Dynamics.

  4. Jeremy Clark & Bonggeun Kim, 2009. "The Effect of Neighbourhood Diversity on Volunteering: Evidence from New Zealand," Working Papers in Economics 09/09, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Matthew James Roskruge & Arthur Grimes & Philip McCann & Jacques Poot, 2011. "Housing and Social Capital in New Zealand," ERSA conference papers ersa10p784, European Regional Science Association.
    2. James Alm & Jeremy Clark & Kara Leibel, 2015. "Enforcement, Socio-Economic Diversity, and Tax Filing Compliance in the United States," Working Papers 1514, Tulane University, Department of Economics.
    3. Goran Sumkoski, 2018. "Regulation and social capital," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 20(1), pages 152-173, April.
    4. Jeremy Clark & Abel François & Olivier Gergaud, 2024. "Social Capital, Social Heterogeneity, and Electoral Turnout," Working Papers in Economics 24/09, University of Canterbury, Department of Economics and Finance.
    5. James Alm & Jeremy Clark & Kara Leibel, 2011. "Socio-economic Diversity, Social Capital, and Tax Filing Compliance in the United States," Working Papers in Economics 11/35, University of Canterbury, Department of Economics and Finance.
    6. John Gibson & Geua Boe-Gibson, 2014. "Capitalizing Performance of 'Free' Schools and the Difficulty of Reforming School Attendance Boundaries," Working Papers in Economics 14/08, University of Waikato.
    7. Smith, Alexander, 2011. "Group composition and conditional cooperation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 616-622.
    8. Jeremy Clark & Abel François & Olivier Gergaud, 2020. "Electoral Turnout and Social Capital," Working Papers in Economics 20/13, University of Canterbury, Department of Economics and Finance.

  5. John Gibson & Bonggeun Kim & Chul Chung, 2008. "Using Panel Data to Exactly Estimate Under-Reporting by the Self-Employed," Working Papers in Economics 08/15, University of Waikato.

    Cited by:

    1. Zsófia L. Bárány, 2017. "Taxation and self-employment," LIS Working papers 723, LIS Cross-National Data Center in Luxembourg.
    2. Erik Hurst & Geng Li & Benjamin Pugsley, 2011. "Are household surveys like tax forms: evidence from income underreporting of the self-employed," Finance and Economics Discussion Series 2011-06, Board of Governors of the Federal Reserve System (U.S.).
    3. Hai-Anh H. Dang & Michael M. Lokshin & Kseniya Abanokova & Maurizio Bussolo, 2019. "Inequality and welfare dynamics in the Russian Federation during 1994-2015," Working Papers 484, ECINEQ, Society for the Study of Economic Inequality.

  6. Chul Chung & Jeremy Clark & Bonggeun Kim, 2008. "Is the Growing Skill Premium a Purely Metropolitan Issue?," Working Papers in Economics 08/10, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Christopher Bollinger & James P. Ziliak & Kenneth R. Troske, 2011. "Down from the Mountain: Skill Upgrading and Wages in Appalachia," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 819-857.
    2. Youngjin Woo & Min Jiang & Euijune Kim, 2021. "Analyzing return migration of high school graduates from lagging regions," Letters in Spatial and Resource Sciences, Springer, vol. 14(3), pages 309-319, December.
    3. MORIKAWA Masayuki, 2011. "Urban Density, Human Capital, and Productivity: An empirical analysis using wage data," Discussion papers 11060, Research Institute of Economy, Trade and Industry (RIETI).

  7. John Gibson & Bonggeun Kim, 2007. "Measurement Error in Long-term Retrospective Recall Surveys Of Earnings," Working Papers in Economics 07/03, University of Waikato.

    Cited by:

    1. Le Wang, 2013. "How Does Education Affect the Earnings Distribution in Urban China?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 435-454, June.

  8. Jeremy Clark & Bonggeun Kim, 2006. "Differential Time and Money Pricing as a Mechanism for In-kind Redistribution," Working Papers in Economics 06/07, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Jeremy Clark & Bonggeun Kim, 2006. "Paying Vs. Waiting in the Pursuit of Specific Egalitarianism," Working Papers in Economics 06/08, University of Canterbury, Department of Economics and Finance.

  9. Jeremy Clark & Bonggeun Kim, 2006. "Paying Vs. Waiting in the Pursuit of Specific Egalitarianism," Working Papers in Economics 06/08, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Alexander, Matthew & MacLaren, Andrew & O’Gorman, Kevin & White, Christopher, 2012. "Priority queues: Where social justice and equity collide," Tourism Management, Elsevier, vol. 33(4), pages 875-884.
    2. Erwin Ooghe, 2019. "Markets, Queues, and Taxes," CESifo Working Paper Series 7910, CESifo.
    3. Jeremy Clark & Bonggeun Kim, 2006. "Differential Time and Money Pricing as a Mechanism for In-kind Redistribution," Working Papers in Economics 06/07, University of Canterbury, Department of Economics and Finance.
    4. Haizhen Mou, 2012. "The political economy of public health expenditure and wait times in a public‐private mixed health care system," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(4), pages 1640-1666, November.

  10. John Gibson & Bonggeun Kim, 2006. "Measurement Error and the Effect of Inequality on Experienced versus Reported Crime," Working Papers in Economics 06/05, University of Waikato.

    Cited by:

    1. Cameron, Lisa A. & Shah, Manisha, 2012. "Can Mistargeting Destroy Social Capital and Stimulate Crime? Evidence from a Cash Transfer Program in Indonesia," IZA Discussion Papers 6736, Institute of Labor Economics (IZA).

  11. Bonggeun Kim, 2004. "The Wage Gap between Metropolitan and Non-metropolitan Areas," Econometric Society 2004 Australasian Meetings 189, Econometric Society.

    Cited by:

    1. Marianne E. Page & Gary Solon, 2003. "Correlations between Brothers and Neighboring Boys in Their Adult Earnings: The Importance of Being Urban," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 831-856, October.
    2. Jencks, Christopher & Tach, Laura, 2005. "Would Equal Opportunity Mean More Mobility?," Working Paper Series rwp05-037, Harvard University, John F. Kennedy School of Government.

Articles

  1. Chul Chung & John Gibson & Bonggeun Kim, 2010. "CPI Mismeasurements and Their Impacts on Economic Management in Korea," Asian Economic Papers, MIT Press, vol. 9(1), pages 1-15, Winter/Sp.

    Cited by:

    1. Figari, Francesco & Bazzoli, Martina & Di Caro, Paolo & V. Fiorio, Carlo & Manzo, Marco, 2020. "Size, heterogeneity and distributional effects of self-employment income tax evasion in Italy," EUROMOD Working Papers EM18/20, EUROMOD at the Institute for Social and Economic Research.
    2. Almås, Ingvild & Johnsen, Åshild Auglænd, 2012. "The cost of living in China: Implications for inequality and poverty," Discussion Paper Series in Economics 21/2012, Norwegian School of Economics, Department of Economics.
    3. Ingvild Almas & Anders Kjelsrud & Rohini Somanathan, 2013. "A Behaviour-Based Approach To The Estimation Of Poverty In India," Working papers 226, Centre for Development Economics, Delhi School of Economics.
    4. HIGA, Kazuhito & 比嘉, 一仁, 2014. "Estimating Upward Bias of Japanese Consumer Price Index Using Engel's Law," Discussion Papers 2014-21, Graduate School of Economics, Hitotsubashi University.
    5. Emi Nakamura & Jón Steinsson & Miao Liu, 2014. "Are Chinese Growth and Inflation Too Smooth? Evidence from Engel Curves," NBER Working Papers 19893, National Bureau of Economic Research, Inc.
    6. Ingvild Almås & Timothy K.M. Beatty & Thomas F. Crossley, 2018. "Lost in Translation: What do Engel Curves Tell us about the Cost of Living?," CESifo Working Paper Series 6886, CESifo.
    7. Susan Olivia & John Gibson, 2013. "Using Engel curves to measure CPI bias for Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 49(1), pages 85-101, April.
    8. Farrokhi, Farid & Jinkins, David & Xiang, Chong, 2022. "Gains from Trade and the Food Engel Curve," Working Papers 15-2022, Copenhagen Business School, Department of Economics.
    9. Gaddis,Isis, 2016. "Prices for poverty analysis in Africa," Policy Research Working Paper Series 7652, The World Bank.
    10. Mr. Irineu E de Carvalho Filho & Mr. Marcos d Chamon, 2008. "The Myth of Post-Reform Income Stagnation: Evidence from Brazil and Mexico," IMF Working Papers 2008/197, International Monetary Fund.
    11. Dabalen,Andrew L. & Gaddis,Isis & Nguyen,Nga Thi Viet, 2016. "CPI bias and its implications for poverty reduction in Africa," Policy Research Working Paper Series 7907, The World Bank.
    12. Martina Bazzoli & Paolo Di Caro & Franceso Figari & Carlo V. Fiorio & Marco Manzo, 2020. "Size, heterogeneity and distributional effects of self-employment income tax evasion in Italy," Working Papers wp2020-8, Ministry of Economy and Finance, Department of Finance.
    13. Kazuhito Higa, 2013. "Estimating Upward Bias in the Japanese CPI Using Engel's Law," Global COE Hi-Stat Discussion Paper Series gd12-295, Institute of Economic Research, Hitotsubashi University.
    14. Ingvild Almas & Ashild Johnsen, 2018. "The cost of a growth miracle - reassessing price and poverty trends in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 239-264, October.

  2. John Gibson & Bonggeun Kim, 2010. "Non‐Classical Measurement Error in Long‐Term Retrospective Recall Surveys," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(5), pages 687-695, October.
    See citations under working paper version above.
  3. Chung, Chul & Clark, Jeremy & Kim, Bonggeun, 2009. "Is the growing skill premium a purely metropolitan issue?," Economics Letters, Elsevier, vol. 102(2), pages 73-75, February.
    See citations under working paper version above.
  4. Gibson, John & Kim, Bonggeun, 2008. "The effect of reporting errors on the cross-country relationship between inequality and crime," Journal of Development Economics, Elsevier, vol. 87(2), pages 247-254, October.

    Cited by:

    1. Süß Philipp, 2020. "Regional Market Income Inequality and its Impact on Crime in Germany: A Spatial Panel Data Approach with Local Spillovers," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(4), pages 387-415, August.
    2. Arghya Ghosh & Peter E. Robertson & Marie-Claire Robitaille, 2016. "Does Globalisation Affect Crime? Theory and Evidence," The World Economy, Wiley Blackwell, vol. 39(10), pages 1482-1513, October.
    3. Ben Vollaard & Joseph Hamed, 2012. "Why the Police Have an Effect on Violent Crime After All: Evidence from the British Crime Survey," Journal of Law and Economics, University of Chicago Press, vol. 55(4), pages 901-924.
    4. Masahiro Shoji, 2018. "Religious Fractionalisation and Crimes in Disaster-Affected Communities: Survey Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 54(10), pages 1891-1911, October.
    5. Christophe Bellégo & Joeffrey Drouard, 2019. "Does It Pay to Fight Crime? Evidence From the Pacification of Slums in Rio de Janeiro," Working Papers 2019-08, Center for Research in Economics and Statistics.
    6. Alexi Thompson & James J. Jozefowicz, 2024. "Euro switch, economic growth, and property crimes in Europe," International Economics and Economic Policy, Springer, vol. 21(2), pages 343-362, May.
    7. Pina-Sánchez, Jose & brunton-smith, ian & Buil-Gil, David & Cernat, Alexandru, 2022. "rcme: A Sensitivity Analysis Tool to Explore the Impact of Measurement Error in Police Recorded Crime Rates," SocArXiv sbc8w, Center for Open Science.
    8. Pina-Sánchez, Jose & Buil-Gil, David & brunton-smith, ian & Cernat, Alexandru, 2021. "The impact of measurement error in models using police recorded crime rates," SocArXiv ydf4b, Center for Open Science.
    9. Kausik Chaudhuri & Payel Chowdhury & Subal Kumbhakar, 2015. "Crime in India: specification and estimation of violent crime index," Journal of Productivity Analysis, Springer, vol. 43(1), pages 13-28, February.
    10. Pazzona, Matteo, 2024. "Revisiting the Income Inequality-Crime Puzzle," World Development, Elsevier, vol. 176(C).
    11. Yu Liu & Thomas M. Fullerton Jr. & Nathan J. Ashby, 2013. "Assessing The Impacts Of Labor Market And Deterrence Variables On Crime Rates In Mexico," Contemporary Economic Policy, Western Economic Association International, vol. 31(4), pages 669-690, October.
    12. Yeasung Jeong & Ayoung Lee & Joonmo Cho, 2018. "Educational mismatches and job resolution in South Korea, the USA, and Germany," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 32(2), pages 95-108, November.

  5. Ma, Hengyun & Oxley, Les & Gibson, John & Kim, Bonggeun, 2008. "China's energy economy: Technical change, factor demand and interfactor/interfuel substitution," Energy Economics, Elsevier, vol. 30(5), pages 2167-2183, September.

    Cited by:

    1. Khalid, Waqar & Özdeşer, Hüseyin & Jalil, Abdul, 2021. "An empirical analysis of inter-factor and inter-fuel substitution in the energy sector of Pakistan," Renewable Energy, Elsevier, vol. 177(C), pages 953-966.
    2. Lin, Boqiang & Zhang, Guoliang, 2013. "Estimates of electricity saving potential in Chinese nonferrous metals industry," Energy Policy, Elsevier, vol. 60(C), pages 558-568.
    3. Lin Zhao, 2023. "The impact of China's Differential Electricity Pricing policy on fossil fuel consumption," International Studies of Economics, John Wiley & Sons, vol. 18(1), pages 97-119, March.
    4. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    5. Muhammad Yousaf Raza & Songlin Tang, 2022. "Inter-Fuel Substitution, Technical Change, and Carbon Mitigation Potential in Pakistan: Perspectives of Environmental Analysis," Energies, MDPI, vol. 15(22), pages 1-20, November.
    6. Hengyun Ma & Les Oxley & John Gibson, 2009. "China’s Energy Situation and Its Implications in the New Millennium," Working Papers 09_04, Motu Economic and Public Policy Research.
    7. Lin, Boqiang & Ahmad, Izhar, 2016. "Energy substitution effect on transport sector of Pakistan based on trans-log production function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1182-1193.
    8. Liu, Kui & Bai, Hongkun & Yin, Shuo & Lin, Boqiang, 2018. "Factor substitution and decomposition of carbon intensity in China's heavy industry," Energy, Elsevier, vol. 145(C), pages 582-591.
    9. Khayyat, Nabaz T. & Lee, Jongsu & Lee, Jeong-Dong, 2014. "How ICT Investment Influences Energy Demand in South Korea and Japan?," MPRA Paper 55454, University Library of Munich, Germany.
    10. Miguel A. Tovar & Emma M. Iglesias, 2013. "Capital-Energy Relationships: An Analysis when Disaggregating by Industry and Different Types of Capital," The Energy Journal, , vol. 34(4), pages 129-150, October.
    11. Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
    12. Lin, Boqiang & Atsagli, Philip, 2017. "Inter-fuel substitution possibilities in South Africa: A translog production function approach," Energy, Elsevier, vol. 121(C), pages 822-831.
    13. Rentschler, Jun & Kornejew, Martin & Bazilian, Morgan, 2017. "Fossil fuel subsidy reforms and their impacts on firms," Energy Policy, Elsevier, vol. 108(C), pages 617-623.
    14. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    15. Yang, Mian & Fan, Ying & Yang, Fuxia & Hu, Hui, 2014. "Regional disparities in carbon dioxide reduction from China's uniform carbon tax: A perspective on interfactor/interfuel substitution," Energy, Elsevier, vol. 74(C), pages 131-139.
    16. Runqing Zhu & Boqiang Lin, 2022. "How Does the Carbon Tax Influence the Energy and Carbon Performance of China’s Mining Industry?," Sustainability, MDPI, vol. 14(7), pages 1-16, March.
    17. Hengyun Ma & Les Oxley, 2009. "China’s Energy Economy: A Survey of the Literature," Working Papers in Economics 09/02, University of Canterbury, Department of Economics and Finance.
    18. Cattaneo, Cristina & Manera, Matteo & Scarpa, Elisa, 2011. "Industrial coal demand in China: A provincial analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 12-35, January.
    19. Ma, Chunbo & Stern, David I., 2016. "Long-run estimates of interfuel and interfactor elasticities," Resource and Energy Economics, Elsevier, vol. 46(C), pages 114-130.
    20. Konc, Théo & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "The social multiplier of environmental policy: Application to carbon taxation," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    21. Wang, Banban & Wei, Jie & Tan, Xiujie & Su, Bin, 2021. "The sectorally heterogeneous and time-varying price elasticities of energy demand in China," Energy Economics, Elsevier, vol. 102(C).
    22. Zhang, Xu & Xu, Wenting & Rauf, Abdul & Ozturk, Ilhan, 2024. "Transitioning from conventional energy to clean renewable energy in G7 countries: A signed network approach," Energy, Elsevier, vol. 307(C).
    23. Lu, Yingying & Liu, Yu & Zhou, Meifang, 2017. "Rebound effect of improved energy efficiency for different energy types: A general equilibrium analysis for China," Energy Economics, Elsevier, vol. 62(C), pages 248-256.
    24. Wang, Xiaolei & Bai, Mengqi & Xie, Chunping, 2019. "Investigating CO2 mitigation potentials and the impact of oil price distortion in China's transport sector," Energy Policy, Elsevier, vol. 130(C), pages 320-327.
    25. Lin, Boqiang & Atsagli, Philip & Dogah, Kingsley E., 2016. "Ghanaian energy economy: Inter-production factors and energy substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1260-1269.
    26. Li, Jianglong & Lin, Boqiang, 2016. "Inter-factor/inter-fuel substitution, carbon intensity, and energy-related CO2 reduction: Empirical evidence from China," Energy Economics, Elsevier, vol. 56(C), pages 483-494.
    27. Zhang, XiaoHong & Hu, He & Zhang, Rong & Deng, ShiHuai, 2014. "Interactions between China׳s economy, energy and the air emissions and their policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 624-638.
    28. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    29. Ji, Qiang & Zhang, Dayong, 2019. "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, vol. 128(C), pages 114-124.
    30. Zhu, Shu & Xu, Xin & Ren, Xiaojing & Sun, Tianhua & Oxley, Les & Rae, Allan & Ma, Hengyun, 2016. "Modeling technological bias and factor input behavior in China's wheat production sector," Economic Modelling, Elsevier, vol. 53(C), pages 245-253.
    31. Pingkuo Liu & Kailing Guo & Jiahao Wu, 2024. "Research on Alternative Relationship between Chinese Renewable Energy and Imported Coal for China," Sustainability, MDPI, vol. 16(8), pages 1-21, April.
    32. Gülsüm Akarsu, 2017. "Analyzing the impact of oil price volatility on electricity demand: the case of Turkey," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(3), pages 371-388, December.
    33. Ma, Hengyun & Oxley, Les & Gibson, John & Li, Wen, 2010. "A survey of China's renewable energy economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 438-445, January.
    34. Li, Jianglong & Sun, Chuanwang, 2018. "Towards a low carbon economy by removing fossil fuel subsidies?," China Economic Review, Elsevier, vol. 50(C), pages 17-33.
    35. David I.Stern, 2009. "Interfuel Substitution: A Meta Analysis," Environmental Economics Research Hub Research Reports 0933, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    36. Dong Hee Suh, 2015. "Declining Energy Intensity in the U.S. Agricultural Sector: Implications for Factor Substitution and Technological Change," Sustainability, MDPI, vol. 7(10), pages 1-14, September.
    37. Wang, Ailun & Lin, Boqiang, 2020. "Structural optimization and carbon taxation in China's commercial sector," Energy Policy, Elsevier, vol. 140(C).
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    52. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les & Xu, Danyang, 2021. "Pandemic-related financial market volatility spillovers: Evidence from the Chinese COVID-19 epicentre," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 55-81.
    53. Dayong Zhang and David C. Broadstock, 2016. "Club Convergence in the Energy Intensity of China," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
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    55. Wang, Chengjin & Ducruet, César, 2014. "Transport corridors and regional balance in China: the case of coal trade and logistics," Journal of Transport Geography, Elsevier, vol. 40(C), pages 3-16.
    56. Lin, Boqiang & Du, Zhili, 2017. "Promoting energy conservation in China's metallurgy industry," Energy Policy, Elsevier, vol. 104(C), pages 285-294.
    57. Suh, Dong Hee, 2015. "Identifying Factor Substitution and Energy Intensity in the U.S. Agricultural Sector," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205264, Agricultural and Applied Economics Association.
    58. Wesseh, Presley K. & Lin, Boqiang & Appiah, Michael Owusu, 2013. "Delving into Liberia's energy economy: Technical change, inter-factor and inter-fuel substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 122-130.
    59. Song, Malin & Wang, Shuhong, 2016. "Can employment structure promote environment-biased technical progress?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 285-292.
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    61. Wang, Yajie & Yu, Huan & Zhang, Hongda & Chen, Tianyu, 2021. "Non-linear analysis of effects of energy consumption on economic growth in China: Role of real exchange rate," Economic Modelling, Elsevier, vol. 104(C).
    62. He, Yongda & Lin, Boqiang, 2019. "Heterogeneity and asymmetric effects in energy resources allocation of the manufacturing sectors in China," Energy, Elsevier, vol. 170(C), pages 1019-1035.
    63. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
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    66. Raza, Muhammad Yousaf & Lin, Boqiang, 2024. "Energy transition, carbon trade and sustainable electricity generation in Pakistan," Applied Energy, Elsevier, vol. 372(C).
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  6. Jeremy Clark & Bonggeun Kim, 2007. "Paying vs. waiting in the pursuit of specific egalitarianism," Oxford Economic Papers, Oxford University Press, vol. 59(3), pages 486-512, July.
    See citations under working paper version above.
  7. Jeremy Clark & Bonggeun Kim & Richie Poulton & Barry Milne, 2006. "The role of low expectations in health and education investment and hazardous consumption," Canadian Journal of Economics, Canadian Economics Association, vol. 39(4), pages 1151-1172, November.

    Cited by:

    1. Cowan, Benjamin W., 2011. "Forward-thinking teens: The effects of college costs on adolescent risky behavior," Economics of Education Review, Elsevier, vol. 30(5), pages 813-825, October.
    2. Frank Sloan & Alyssa Platt, 2011. "Information, risk perceptions, and smoking choices of youth," Journal of Risk and Uncertainty, Springer, vol. 42(2), pages 161-193, April.
    3. David L. Dickinson & Robert J. Oxoby, 2007. "Cognitive Dissonance, Pessimism, and Behavioral Spillover Effects," Working Papers 07-11, Department of Economics, Appalachian State University.
    4. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    5. Alexander S. Skorobogatov, 2012. "The value of human capital and health behavior," Economics Bulletin, AccessEcon, vol. 32(2), pages 1785-1796.
    6. Simon Burgess & Marcela Umaña-Aponte, 2011. "Raising your sights: the impact of friendship networks on educational aspirations," The Centre for Market and Public Organisation 11/271, The Centre for Market and Public Organisation, University of Bristol, UK.

  8. Bonggeun Kim & Gary Solon, 2005. "Implications of Mean-Reverting Measurement Error for Longitudinal Studies of Wages and Employment," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 193-196, February.

    Cited by:

    1. Donggyun Shin, 2011. "Causes of Earnings Volatility and Risk Sharing," Korean Economic Review, Korean Economic Association, vol. 27, pages 253-272.
    2. Fuwa, Nobuhiko & Ito, Seiro & Kubo, Kensuke & Kurosaki, Takashi & Sawada, Yasuyuki, 2009. "How does credit access affect children's time allocation? Evidence from rural India," IDE Discussion Papers 183, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    3. John Gibson & Bonggeun Kim, 2009. "Non-Classical Measurement Error in Long-Term Retrospective Recall Surveys," CIRJE F-Series CIRJE-F-658, CIRJE, Faculty of Economics, University of Tokyo.
    4. Lee, Nayoung & Moon, Hyungsik Roger & Weidner, Martin, 2012. "Analysis of interactive fixed effects dynamic linear panel regression with measurement error," Economics Letters, Elsevier, vol. 117(1), pages 239-242.
    5. Yuriy Gorodnichenko & Klara Sabirianova Peter, 2004. "Returns to Schooling in Russia and Ukraine: A Semiparametric Approach to Cross-Country Comparative Analysis," William Davidson Institute Working Papers Series 719, William Davidson Institute at the University of Michigan.
    6. Steven Haider & Gary Solon, 2006. "Life-Cycle Variation in the Association between Current and Lifetime Earnings," American Economic Review, American Economic Association, vol. 96(4), pages 1308-1320, September.
    7. Abay, Kibrom A. & Abate, Gashaw & Barrett, Christopher B. & Bernard, Tanguy, 2018. "Correlated Non-Classical Measurement Errors, ‘Second Best’ Policy Inference and the Inverse Size-Productivity Relationship in Agriculture," 2018 Annual Meeting, August 5-7, Washington, D.C. 274248, Agricultural and Applied Economics Association.
    8. Marco Caliendo & Katrin Huber & Ingo E. Isphording & Jakob Wegmann, 2024. "On the Extent, Correlates, and Consequences of Reporting Bias in Survey Wages," Papers 2411.04751, arXiv.org.
    9. Marco Caliendo & Katrin Huber & Ingo E. Isphording & Jakob Wegmann, 2025. "On the Extent, Correlates, and Consequences of Reporting Bias in Survey Wages," CRC TR 224 Discussion Paper Series crctr224_2025_619, University of Bonn and University of Mannheim, Germany.
    10. Stacy, Brian, 2014. "Left with Bias? Quantile Regression with Measurement Error in Left Hand Side Variables," EconStor Preprints 104744, ZBW - Leibniz Information Centre for Economics.
    11. Qing Li, 2014. "Identifiability of mean-reverting measurement error with instrumental variable," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(2), pages 118-129, May.
    12. O'Neill, Donal & Sweetman, Olive, 2012. "The Consequences of Measurement Error when Estimating the Impact of BMI on Labour Market Outcomes," IZA Discussion Papers 7008, Institute of Labor Economics (IZA).
    13. Aaron Chalfin & Justin McCrary, 2013. "The Effect of Police on Crime: New Evidence from U.S. Cities, 1960-2010," NBER Working Papers 18815, National Bureau of Economic Research, Inc.
    14. Pedro S. Martins & Gary Solon & Jonathan P. Thomas, 2012. "Measuring What Employers Do about Entry Wages over the Business Cycle: A New Approach," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(4), pages 36-55, October.
    15. Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 513-551.
    16. Gregory Verdugo, 2016. "Real wage cyclicality in the Eurozone before and during the Great Recession: Evidence from micro data," SciencePo Working papers Main hal-01296738, HAL.
    17. Donggyun Shin & Gary Solon, 2006. "New Evidence on Real Wage Cyclicality within Employer-Employee Matches," NBER Working Papers 12262, National Bureau of Economic Research, Inc.
    18. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    19. Donal O'Neill, 2015. "Correcting for Self-Reporting Bias in BMI: A Multiple Imputation Approach," Economics Department Working Paper Series n263-15.pdf, Department of Economics, National University of Ireland - Maynooth.
    20. Nayoung Lee, 2022. "Measurement error and its impact on estimates of income dynamics," Empirical Economics, Springer, vol. 63(5), pages 2539-2550, November.
    21. John Gibson & Bonggeun Kim & Geua Boe-Gibson, 2022. "How effective are sanctions on North Korea? Popular DMSP night-lights data may bias evaluations due to blurring and poor low-light detection," Working Papers in Economics 22/06, University of Waikato, revised 14 Nov 2022.
    22. Donal O’Neill & Olive Sweetman, 2013. "The consequences of measurement error when estimating the impact of obesity on income," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-20, December.
    23. Keshav Dogra & Olga Gorbachev, 2015. "Consumption Volatility, Liquidity Constraints and Household Welfare," Working Papers 15-05, University of Delaware, Department of Economics.
    24. Li, Zhiyun & Ortiz-Bobea, Ariel, 2022. "On the Timing of Relevant Weather Conditions in Agriculture," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316528, Agricultural and Applied Economics Association.
    25. John Gibson & Bonggeun Kim, 2007. "Measurement Error in Long-term Retrospective Recall Surveys Of Earnings," Working Papers in Economics 07/03, University of Waikato.
    26. Lisa M. Dragoset & Gary S. Fields, 2006. "U.S. Earnings Mobility: Comparing Survey-Based and Administrative-Based Estimates," Working Papers 55, ECINEQ, Society for the Study of Economic Inequality.
    27. Molly Dahl & Thomas DeLeire & Shannon Mok, 2012. "Food Insufficiency and Income Volatility in U.S. Households: The Effects of Imputed Earnings in the Survey of Income and Program Participation: Working Paper 2012-07," Working Papers 43137, Congressional Budget Office.
    28. Donal O’Neill & Olive Sweetman & Dirk Van de gaer, 2007. "The effects of measurement error and omitted variables when using transition matrices to measure intergenerational mobility," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(2), pages 159-178, August.
    29. Whalley, Alexander, 2011. "Education and labor market risk: Understanding the role of data cleaning," Economics of Education Review, Elsevier, vol. 30(3), pages 528-545, June.
    30. Lee, Nayoung & Moon, Hyungsik Roger & Zhou, Qiankun, 2017. "Many IVs estimation of dynamic panel regression models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 251-259.

  9. Kim, Bonggeun, 2002. "The role of the urban/non-urban cost-of-living difference in measured intergenerational earnings mobility," Economics Letters, Elsevier, vol. 77(1), pages 9-14, September.

    Cited by:

    1. Jencks, Christopher & Tach, Laura, 2005. "Would Equal Opportunity Mean More Mobility?," Working Paper Series rwp05-037, Harvard University, John F. Kennedy School of Government.
    2. Wang, Qiuyan & Findeis, Jill L., 2004. "Do Women Earn Less In Rural Areas? An Empirical Analysis Of The Female Rural-Urban Wage Differential," 2004 Annual meeting, August 1-4, Denver, CO 19982, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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