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Michihito Ando

Personal Details

First Name:Michihito
Middle Name:
Last Name:Ando
Suffix:
RePEc Short-ID:pan466
[This author has chosen not to make the email address public]
https://sites.google.com/site/michihito7ando

Affiliation

Faculty of Economics
Rikkyo University

Tokyo, Japan
http://www.rikkyo.ne.jp/grp/eco/

:


RePEc:edi:ferikjp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Sato, Yoshihiro & Ando, Michihito, 2017. "Does Assigning More Women to Managerial Positions Enhance Firm Productivity? Evidence from Sweden," EIJS Working Paper Series 242, Stockholm School of Economics, The European Institute of Japanese Studies.
  2. Ando, Michihito & Dahlberg, Matz & Engström, Gustav, 2017. "The Risks of Nuclear Disaster and Its Impact on Housing Prices," Working Paper Series 2017:2, Uppsala University, Department of Economics.
  3. Ando, Michihito, 2013. "How Much Should We Trust Regression-Kink-Design Estimates?," Working Paper Series, Center for Fiscal Studies 2013:15, Uppsala University, Department of Economics.
  4. Ando, Michihito, 2013. "Estimating the effects of nuclear power facilities on local income levels: A quasi-experimental approach," Working Paper Series 2013:3, Uppsala University, Department of Economics.

Articles

  1. Ando, Michihito & Dahlberg, Matz & Engström, Gustav, 2017. "The risks of nuclear disaster and its impact on housing prices," Economics Letters, Elsevier, vol. 154(C), pages 13-16.
  2. Michihito Ando, 2017. "How much should we trust regression-kink-design estimates?," Empirical Economics, Springer, vol. 53(3), pages 1287-1322, November.
  3. Ando Michihito & Takaku Reo, 2016. "Affordable False Teeth: The Effects of Patient Cost Sharing on Denture Utilization and Subjective Chewing Ability," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(3), pages 1387-1438, September.
  4. Ando, Michihito, 2015. "Dreams of urbanization: Quantitative case studies on the local impacts of nuclear power facilities using the synthetic control method," Journal of Urban Economics, Elsevier, vol. 85(C), pages 68-85.

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. Ando, Michihito & Dahlberg, Matz & Engström, Gustav, 2017. "The Risks of Nuclear Disaster and Its Impact on Housing Prices," Working Paper Series 2017:2, Uppsala University, Department of Economics.

    Cited by:

    1. Takano, Keisuke, 2019. "Does visible shock update firms' unrelated trade diversity in anticipation of future shock? Evidence from the Great East Japan Earthquake and expected Nankai Trough Earthquake," TDB-CAREE Discussion Paper Series E-2019-01, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
    2. Hsiao, Cody Yu-Ling & Chen, Hsing Hung, 2018. "The contagious effects on economic development after resuming construction policy for nuclear power plants in Coastal China," Energy, Elsevier, vol. 152(C), pages 291-302.

  2. Ando, Michihito, 2013. "How Much Should We Trust Regression-Kink-Design Estimates?," Working Paper Series, Center for Fiscal Studies 2013:15, Uppsala University, Department of Economics.

    Cited by:

    1. David Card & Zhuan Pei & David S. Lee & Andrea Weber, 2014. "Inference on Causal Effects in a Generalized Regression Kink Design," Working Papers 83, Brandeis University, Department of Economics and International Businesss School, revised Jan 2015.
    2. Kyyrä, Tomi & Paukkeri, Tuuli, 2018. "Does experience rating reduce sickness and disability claims? Evidence from policy kinks," Journal of Health Economics, Elsevier, vol. 61(C), pages 178-192.
    3. Alexander Gelber & Timothy Moore & Alexander Strand, 2016. "The Effect of Disability Insurance Payments on Beneficiaries’ Earnings," NBER Working Papers 21851, National Bureau of Economic Research, Inc.
    4. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2016. "Regression Kink Design: Theory and Practice," NBER Working Papers 22781, National Bureau of Economic Research, Inc.
    5. Ando, Michihito, 2013. "How Much Should We Trust Regression-Kink-Design Estimates?," Working Paper Series, Center for Fiscal Studies 2013:15, Uppsala University, Department of Economics.
    6. Damon Jones & Alexander M. Gelber & Daniel W. Sacks & Jae Song, 2017. "Using Kinked Budget Sets to Estimate Extensive Margin Responses: Method and Evidence from the Social Security Earnings Test," Working Papers 2017-034, Human Capital and Economic Opportunity Working Group.
    7. Ganong, Peter & Jäger, Simon, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," IZA Discussion Papers 8282, Institute of Labor Economics (IZA).
    8. Alexander M. Gelber & Damon Jones & Daniel W. Sacks & Jae Song, 2017. "Using Non-Linear Budget Sets to Estimate Extensive Margin Responses: Method and Evidence from the Social Security Earnings Test," NBER Working Papers 23362, National Bureau of Economic Research, Inc.
    9. Bana, Sarah & Bedard, Kelly & Rossin-Slater, Maya, 2018. "The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data," IZA Discussion Papers 11381, Institute of Labor Economics (IZA).
    10. Peter Ganong & Simon Jäger, 2018. "A Permutation Test for the Regression Kink Design," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 494-504, April.

Articles

  1. Ando, Michihito & Dahlberg, Matz & Engström, Gustav, 2017. "The risks of nuclear disaster and its impact on housing prices," Economics Letters, Elsevier, vol. 154(C), pages 13-16.
    See citations under working paper version above.
  2. Michihito Ando, 2017. "How much should we trust regression-kink-design estimates?," Empirical Economics, Springer, vol. 53(3), pages 1287-1322, November.
    See citations under working paper version above.
  3. Ando, Michihito, 2015. "Dreams of urbanization: Quantitative case studies on the local impacts of nuclear power facilities using the synthetic control method," Journal of Urban Economics, Elsevier, vol. 85(C), pages 68-85.

    Cited by:

    1. Dalmazzo, Alberto & de Blasio, Guido & Poy, Samuele, 2018. "Local secessions, homophily, and growth. A model with some evidence from the regions of Abruzzo and Molise (Italy, 1963)," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 284-306.
    2. Xu, Hangtian, 2016. "Multiple Equilibria in the Urban Spatial Structure: Evidence from the Hanshin Earthquake," MPRA Paper 75219, University Library of Munich, Germany.
    3. Zhu, Hongjia & Deng, Yongheng & Zhu, Rong & He, Xiaobo, 2016. "Fear of nuclear power? Evidence from Fukushima nuclear accident and land markets in China," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 139-154.
    4. Ferman, Bruno & Pinto, Cristine Campos de Xavier & Possebom, Vítor Augusto, 2016. "Cherry picking with synthetic controls," Textos para discussão 420, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    5. Paul M. Jakus & Sherzod B. Akhundjanov, 2018. "Neither Boon nor Bane: The Economic Effects of a Landscape-Scale National Monument," Land Economics, University of Wisconsin Press, vol. 94(3), pages 323-339.
    6. Cerqua, Augusto & Di Pietro, Giorgio, 2015. "Natural Disasters and University Enrolment: Evidence from L'Aquila Earthquake," IZA Discussion Papers 9332, Institute of Labor Economics (IZA).
    7. Rickman, Dan S. & Wang, Hongbo, 2017. "Two Tales of Two U.S. States: Regional Fiscal Austerity and Economic Performance," MPRA Paper 79615, University Library of Munich, Germany.
    8. Castillo, Victoria & Figal Garone, Lucas & Maffioli, Alessandro & Salazar, Lina, 2017. "The causal effects of regional industrial policies on employment: A synthetic control approach," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 25-41.
    9. Valeriia Budiakivska & Luca Casolaro, 2018. "Please in my back yard: the private and public benefits of a new tram line in Florence," Temi di discussione (Economic working papers) 1161, Bank of Italy, Economic Research and International Relations Area.
    10. Eliason, Paul & Lutz, Byron, 2018. "Can fiscal rules constrain the size of government? An analysis of the “crown jewel” of tax and expenditure limitations," Journal of Public Economics, Elsevier, vol. 166(C), pages 115-144.
    11. Kawaguchi, Daiji & Yukutake, Norifumi, 2017. "Estimating the residential land damage of the Fukushima nuclear accident," Journal of Urban Economics, Elsevier, vol. 99(C), pages 148-160.
    12. John J. Donohue & Abhay Aneja & Kyle D. Weber, 2017. "Right-to-Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and a State-Level Synthetic Control Analysis," NBER Working Papers 23510, National Bureau of Economic Research, Inc.
    13. Marco Modica, 2016. "Does the construction of biogas plants affect local property values?," SEEDS Working Papers 1216, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Nov 2016.
    14. Lee, Kangil & Melstrom, Richard T., 2018. "Evidence of increased electricity influx following the regional greenhouse gas initiative," Energy Economics, Elsevier, vol. 76(C), pages 127-135.
    15. Kim, Man-Keun & Kim, Taehoo, 2016. "Estimating impact of regional greenhouse gas initiative on coal to gas switching using synthetic control methods," Energy Economics, Elsevier, vol. 59(C), pages 328-335.
    16. KAWAGUCHI, Daiji & YUKUTAKE, Norifumi, 2014. "Estimating the Residential Land Damage of the Fukushima Accident," Discussion Papers 2014-18, Graduate School of Economics, Hitotsubashi University.
    17. Ferman, Bruno & Pinto, Cristine, 2016. "Revisiting the Synthetic Control Estimator," MPRA Paper 73982, University Library of Munich, Germany.
    18. Xu, Bin & Lin, Boqiang, 2016. "A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?," Energy Policy, Elsevier, vol. 98(C), pages 328-342.
    19. Yinger Zheng & Haixia Zheng & Xinyue Ye, 2016. "Using Machine Learning in Environmental Tax Reform Assessment for Sustainable Development: A Case Study of Hubei Province, China," Sustainability, MDPI, Open Access Journal, vol. 8(11), pages 1-20, November.
    20. David Powell, 2016. "Synthetic Control Estimation Beyond Case Studies Does the Minimum Wage Reduce Employment?," Working Papers WR-1142, RAND Corporation.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 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-URE: Urban & Real Estate Economics (2) 2013-03-09 2017-07-02. Author is listed
  2. NEP-BEC: Business Economics (1) 2017-07-02. Author is listed
  3. NEP-ECM: Econometrics (1) 2013-11-29. Author is listed
  4. NEP-EFF: Efficiency & Productivity (1) 2017-07-02. Author is listed
  5. NEP-ENE: Energy Economics (1) 2017-07-02. Author is listed
  6. NEP-ENV: Environmental Economics (1) 2017-07-02. Author is listed
  7. NEP-EUR: Microeconomic European Issues (1) 2017-07-02. Author is listed
  8. NEP-GEN: Gender (1) 2017-07-02. Author is listed
  9. NEP-HME: Heterodox Microeconomics (1) 2017-07-02. Author is listed
  10. NEP-HRM: Human Capital & Human Resource Management (1) 2017-07-02. Author is listed
  11. NEP-PAY: Payment Systems & Financial Technology (1) 2017-07-02. Author is listed
  12. NEP-PBE: Public Economics (1) 2013-03-09. Author is listed
  13. NEP-REG: Regulation (1) 2017-07-02. Author is listed
  14. NEP-TID: Technology & Industrial Dynamics (1) 2017-07-02. Author is listed

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