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Koji Miyawaki

Personal Details

First Name:Koji
Middle Name:
Last Name:Miyawaki
Suffix:
RePEc Short-ID:pmi396
[This author has chosen not to make the email address public]

Affiliation

School of Economics
Kwansei Gakuin University

Hyogo, Japan
http://www.kwansei.ac.jp/s_economics/

: +81-(0)798-546496
+81-(0)798-510944
1-155 Uegahara Ichiban-cho, Nishinomiya, Hyogo 662-8501
RePEc:edi:dekgujp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2013. "A Discrete/Continuous Choice Model on the Nonconvex Budget Set," CIRJE F-Series CIRJE-F-881, CIRJE, Faculty of Economics, University of Tokyo.
  2. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2010. "Discrete/Continuous Choice Model of the Residential Gas Demand on the Nonconvex Budget Set," CIRJE F-Series CIRJE-F-770, CIRJE, Faculty of Economics, University of Tokyo.
  3. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2010. "Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach," CIRJE F-Series CIRJE-F-717, CIRJE, Faculty of Economics, University of Tokyo.
  4. Yasuhiro Omori & Koji Miyawaki, 2008. "Tobit Model with Covariate Dependent Thresholds," CIRJE F-Series CIRJE-F-594, CIRJE, Faculty of Economics, University of Tokyo.
  5. Koji Miyawaki & Yasuhiro Omori, 2007. "Duality-Based Analysis of Residential Gas Demand under Decreasing Block Rate Pricing," CIRJE F-Series CIRJE-F-506, CIRJE, Faculty of Economics, University of Tokyo.
  6. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2006. "Bayesian Estimation of Demand Functions under Block Rate Pricing," CIRJE F-Series CIRJE-F-424, CIRJE, Faculty of Economics, University of Tokyo.

Articles

  1. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2016. "Exact Estimation of Demand Functions under Block-Rate Pricing," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 311-343, March.
  2. Koji Miyawaki, 2013. "Space-varying Coefficient Simultaneous Autoregressive Models for the Structural Analysis of Residential Water Demand," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(4), pages 498-518, May.
  3. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2011. "Panel Data Analysis Of Japanese Residential Water Demand Using A Discrete/Continuous Choice Approach," The Japanese Economic Review, Japanese Economic Association, vol. 62(3), pages 365-386, September.
  4. Omori, Yasuhiro & Miyawaki, Koji, 2010. "Tobit model with covariate dependent thresholds," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2736-2752, November.

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. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2010. "Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach," CIRJE F-Series CIRJE-F-717, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Havranek, Tomas & Irsova, Zuzana & Vlach, Tomas, 2016. "Publication Bias in Measuring the Income Elasticity of Water Demand," MPRA Paper 75247, University Library of Munich, Germany.
    2. María Pérez-Urdiales & María García-Valiñas & Roberto Martínez-Espiñeira, 2016. "Responses to Changes in Domestic Water Tariff Structures: A Latent Class Analysis on Household-Level Data from Granada, Spain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 167-191, January.
    3. Tomas Havranek & Zuzana Irsova & Tomas Vlach, 2018. "Measuring the Income Elasticity of Water Demand: The Importance of Publication and Endogeneity Biases," Land Economics, University of Wisconsin Press, vol. 94(2), pages 259-283.
    4. Martins, Rita & Quintal, Carlota & Cruz, Luís & Barata, Eduardo, 2016. "Water affordability issues in developed countries – The relevance of micro approaches," Utilities Policy, Elsevier, vol. 43(PA), pages 117-123.
    5. Darío F. Jiménez & Sergio A. Orrego & Felipe A. Vásquez & Roberto D. Ponce, 2017. "Estimating water demand for urban residential use using a discrete-continuous model and disaggregated data at the household level: the case of the city of Manizales, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 153-178, Enero - J.
    6. Baerenklau, Kenneth A. & Schwabe, Kurt & Dinar, Ariel, 2014. "Do Increasing Block Rate Water Budgets Reduce Residential Water Demand? A Case Study in Southern California," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170019, Agricultural and Applied Economics Association.
    7. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    8. Ming-Feng Hung & Bin-Tzong Chie, 2013. "Residential Water Use: Efficiency, Affordability, and Price Elasticity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 275-291, January.
    9. Maamar Sebri, 2014. "A meta-analysis of residential water demand studies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(3), pages 499-520, June.
    10. Ming-Feng Hung & Bin-Tzong Chie & Tai-Hsin Huang, 2017. "Residential water demand and water waste in Taiwan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 249-268, April.
    11. Jiménez, Darío F. & Orrego, Sergio A. & Vásquez, Felipe A. & Ponce, Roberto D., 2016. "Estimación de la demanda de agua para uso residencial urbano usando un modelo discreto-continuo y datos desagregados a nivel de hogar: el caso de la ciudad de Manizales, Colombia," REVISTA LECTURAS DE ECONOMÍA, UNIVERSIDAD DE ANTIOQUIA - CIE, issue 86, pages 153-178, December.

  2. Yasuhiro Omori & Koji Miyawaki, 2008. "Tobit Model with Covariate Dependent Thresholds," CIRJE F-Series CIRJE-F-594, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Wichitaksorn, Nuttanan & Tsurumi, Hiroki, 2013. "Comparison of MCMC algorithms for the estimation of Tobit model with non-normal error: The case of asymmetric Laplace distribution," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 226-235.
    2. Marra, Giampiero & Wyszynski, Karol, 2016. "Semi-parametric copula sample selection models for count responses," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 110-129.
    3. Marra, Giampiero & Radice, Rosalba, 2013. "Estimation of a regression spline sample selection model," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 158-173.
    4. Li, He & Zhang, Zhichao & Zhang, Chuanjie, 2017. "China’s intervention in the central parity rate: A Bayesian Tobit analysis," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 612-624.
    5. Moon, Sangkil & Azizi, Kathryn, 2013. "Finding Donors by Relationship Fundraising," Journal of Interactive Marketing, Elsevier, vol. 27(2), pages 112-129.

  3. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2006. "Bayesian Estimation of Demand Functions under Block Rate Pricing," CIRJE F-Series CIRJE-F-424, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2010. "Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach," CIRJE F-Series CIRJE-F-764, CIRJE, Faculty of Economics, University of Tokyo.
    2. Henrique Monteiro, 2010. "Residential Water Demand in Portugal: checking for efficiency-based justifications for increasing block tariffs," Working Papers Series 1 ercwp0110, ISCTE-IUL, Business Research Unit (BRU-IUL).
    3. Koji Miyawaki & Yasuhiro Omori, 2007. "Duality-Based Analysis of Residential Gas Demand under Decreasing Block Rate Pricing," CIRJE F-Series CIRJE-F-506, CIRJE, Faculty of Economics, University of Tokyo.
    4. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2010. "Discrete/Continuous Choice Model of the Residential Gas Demand on the Nonconvex Budget Set," CIRJE F-Series CIRJE-F-770, CIRJE, Faculty of Economics, University of Tokyo.
    5. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2013. "A Discrete/Continuous Choice Model on the Nonconvex Budget Set," CIRJE F-Series CIRJE-F-881, CIRJE, Faculty of Economics, University of Tokyo.
    6. Yuta Kurose & Yasuhiro Omori & Akira Hibiki, 2014. "A Discrete/Continuous Choice Model on a Nonconvex Budget Set," CIRJE F-Series CIRJE-F-942, CIRJE, Faculty of Economics, University of Tokyo.

Articles

  1. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2016. "Exact Estimation of Demand Functions under Block-Rate Pricing," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 311-343, March.

    Cited by:

    1. Diego Maria André & José Carvalho, 2014. "Spatial Determinants of Urban Residential Water Demand in Fortaleza, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2401-2414, July.

  2. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2011. "Panel Data Analysis Of Japanese Residential Water Demand Using A Discrete/Continuous Choice Approach," The Japanese Economic Review, Japanese Economic Association, vol. 62(3), pages 365-386, September.
    See citations under working paper version above.
  3. Omori, Yasuhiro & Miyawaki, Koji, 2010. "Tobit model with covariate dependent thresholds," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2736-2752, November.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 11 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 (6) 2006-05-20 2008-06-21 2008-10-13 2009-08-16 2010-02-27 2010-04-17. Author is listed
  2. NEP-MKT: Marketing (4) 2010-02-27 2010-04-17 2010-10-16 2010-11-06
  3. NEP-ENE: Energy Economics (3) 2007-08-08 2008-06-21 2010-11-06
  4. NEP-DCM: Discrete Choice Models (2) 2006-05-20 2010-02-27

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