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Details about Kayo Murakami

Homepage:http://www.econ.kyoto-u.ac.jp/smartgrid/member_murakami
Workplace:School of Economics, Kwansei Gakuin University, (more information at EDIRC)

Access statistics for papers by Kayo Murakami.

Last updated 2023-05-19. Update your information in the RePEc Author Service.

Short-id: pmu553


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Working Papers

2020

  1. Heterogeneous Treatment Effects of Nudge and Rebate:Causal Machine Learning in a Field Experiment on Electricity Conservation
    Discussion papers, Graduate School of Economics , Kyoto University Downloads View citations (6)
    See also Journal Article HETEROGENEOUS TREATMENT EFFECTS OF NUDGE AND REBATE: CAUSAL MACHINE LEARNING IN A FIELD EXPERIMENT ON ELECTRICITY CONSERVATION, International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association (2022) Downloads View citations (8) (2022)

2019

  1. Deregulation and status quo bias: Evidence from stated and revealed switching behaviors in the electricity market in Japan
    Discussion papers, Graduate School of Economics , Kyoto University Downloads

2015

  1. Electricity demand response in Japan:Experimental evidence from a residential photovoltaic generation system
    Discussion papers, Graduate School of Economics Project Center, Kyoto University Downloads View citations (3)

2012

  1. Keys to Smart Home Diffusion: A Stated Preference Analysis of Smart Meters, Photovoltaic Generation, and Electric/Hybrid Vehicles
    Discussion papers, Graduate School of Economics Project Center, Kyoto University Downloads View citations (2)

2011

  1. Consumer Policy and Resource Management(in Japanese)
    ESRI Discussion paper series, Economic and Social Research Institute (ESRI) Downloads

Journal Articles

2022

  1. Explaining the diverse values assigned to environmental benefits across countries
    Nature Sustainability, 2022, 5, (9), 753-761 Downloads
  2. HETEROGENEOUS TREATMENT EFFECTS OF NUDGE AND REBATE: CAUSAL MACHINE LEARNING IN A FIELD EXPERIMENT ON ELECTRICITY CONSERVATION
    International Economic Review, 2022, 63, (4), 1779-1803 Downloads View citations (8)
    See also Working Paper Heterogeneous Treatment Effects of Nudge and Rebate:Causal Machine Learning in a Field Experiment on Electricity Conservation, Discussion papers (2020) Downloads View citations (6) (2020)

2015

  1. Consumers' willingness to pay for renewable and nuclear energy: A comparative analysis between the US and Japan
    Energy Economics, 2015, 50, (C), 178-189 Downloads View citations (62)

2014

  1. Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan
    Transportation Research Part A: Policy and Practice, 2014, 70, (C), 194-209 Downloads View citations (61)
 
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