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Dean Clarence Mountain

(deceased)

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. Dean C. Mountain, 2012. "Real-Time Feedback and Residential Electricity Consumption: The Newfoundland and Labrador Pilot," Quantitative Studies in Economics and Population Research Reports 449, McMaster University.

    Cited by:

    1. Brandsma, Jeroen S. & Blasch, Julia E., 2019. "One for all? – The impact of different types of energy feedback and goal setting on individuals’ motivation to conserve electricity," Energy Policy, Elsevier, vol. 135(C).

  2. Dean C. Mountain, 2012. "Real-time Feedback and Residential Electricity Consumption: The Newfoundland and Labrador Pilot," Social and Economic Dimensions of an Aging Population Research Papers 294, McMaster University.

    Cited by:

    1. Brandsma, Jeroen S. & Blasch, Julia E., 2019. "One for all? – The impact of different types of energy feedback and goal setting on individuals’ motivation to conserve electricity," Energy Policy, Elsevier, vol. 135(C).

  3. Frank T. Denton & Dean C. Mountain, 2011. "Aggregation and Other Biases in the Calculation of Consumer Elasticities for Models of Arbitrary Rank," Quantitative Studies in Economics and Population Research Reports 447, McMaster University.

    Cited by:

    1. Frank Denton & Dean Mountain, 2014. "The implications of mean scaling for the calculation of aggregate consumer elasticities," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(3), pages 297-314, September.

  4. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Institute of Transportation Studies, Working Paper Series qt02n9j6cv, Institute of Transportation Studies, UC Davis.

    Cited by:

    1. Hillard G. Huntington, 2011. "The Policy Implications of Energy-Efficiency Cost Curves," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    2. Cayla, Jean-Michel & Maïzi, Nadia, 2015. "Integrating household behavior and heterogeneity into the TIMES-Households model," Applied Energy, Elsevier, vol. 139(C), pages 56-67.
    3. Yang, J. & Chen, F., 2021. "How are social-psychological factors related to consumer preferences for plug-in electric vehicles? Case studies from two cities in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Huang, Youlin & Qian, Lixian & Tyfield, David & Soopramanien, Didier, 2021. "On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Jean-Francois Mercure & Hector Pollitt & Unnada Chewpreecha & Pablo Salas & Aideen M. Foley & Philip B. Holden & Neil R. Edwards, 2013. "The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector," 4CMR Working Paper Series 006, University of Cambridge, Department of Land Economy, Cambridge Centre for Climate Change Mitigation Research.
    6. Ulrike Illmann & Jan Kluge, 2021. "Halb voll oder halb leer? Zur Bedeutung flächendeckender öffentlicher Ladeinfrastruktur für die Entwicklung der Elektromobilität," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 28(05), pages 10-17, October.
    7. Chakraborty, Debapriya & Bunch, David S. & Xu, Bingzheng & Brownstone, David & Tal, Gil, 2021. "Plug-in Electric Vehicle Diffusion in California: Role of Exposure to New Technology at Home and Work," Institute of Transportation Studies, Working Paper Series qt7fs8295j, Institute of Transportation Studies, UC Davis.
    8. Bansal, Prateek & Kumar, Rajeev Ranjan & Raj, Alok & Dubey, Subodh & Graham, Daniel J., 2021. "Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles," Energy Economics, Elsevier, vol. 100(C).
    9. Wee, Sherilyn & Coffman, Makena & Allen, Scott, 2020. "EV driver characteristics: Evidence from Hawaii," Transport Policy, Elsevier, vol. 87(C), pages 33-40.
    10. Oliveira, Gabriela D. & Roth, Richard & Dias, Luis C., 2019. "Diffusion of alternative fuel vehicles considering dynamic preferences," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 83-99.
    11. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2015. "Assessing the Energy-Efficiency Gap," Working Papers 2015.35, Fondazione Eni Enrico Mattei.
    12. Parsons, George R. & Hidrue, Michael K. & Kempton, Willett & Gardner, Meryl P., 2014. "Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms," Energy Economics, Elsevier, vol. 42(C), pages 313-324.
    13. Kim, Kyungah & Lee, Jongsu & Kim, Junghun, 2021. "Can liquefied petroleum gas vehicles join the fleet of alternative fuel vehicles? Implications of transportation policy based on market forecast and environmental impact," Energy Policy, Elsevier, vol. 154(C).
    14. Melton, Noel & Axsen, Jonn & Goldberg, Suzanne, 2017. "Evaluating plug-in electric vehicle policies in the context of long-term greenhouse gas reduction goals: Comparing 10 Canadian provinces using the “PEV policy report card”," Energy Policy, Elsevier, vol. 107(C), pages 381-393.
    15. Gillespie Rob & Kragt Marit E., 2012. "Accounting for Nonmarket Impacts in a Benefit-Cost Analysis of Underground Coal Mining in New South Wales, Australia," Journal of Benefit-Cost Analysis, De Gruyter, vol. 3(2), pages 1-29, May.
    16. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
    17. Sun, Shanxia & Delgado, Michael S. & Khanna, Neha, 2019. "Hybrid vehicles, social signals and household driving: Implications for miles traveled and gasoline consumption," Energy Economics, Elsevier, vol. 84(C).
    18. Axsen, Jonn & Kurani, Kenneth S., 2010. "Interpersonal Influence and Pro-Societal Consumption: A Review of Diffusion, Conformity, Dissemination, Translation and Reflexivity," Institute of Transportation Studies, Working Paper Series qt8f49p47g, Institute of Transportation Studies, UC Davis.
    19. Chen, T. Donna & Wang, Yiyi & Kockelman, Kara M., 2015. "Where are the electric vehicles? A spatial model for vehicle-choice count data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 181-188.
    20. Irwin, Nicholas B., 2021. "Sunny days: Spatial spillovers in photovoltaic system adoptions," Energy Policy, Elsevier, vol. 151(C).
    21. Kwon, Yeongmin & Son, Sanghoon & Jang, Kitae, 2018. "Evaluation of incentive policies for electric vehicles: An experimental study on Jeju Island," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 404-412.
    22. Clewlow, Regina R., 2016. "Carsharing and sustainable travel behavior: Results from the San Francisco Bay Area," Transport Policy, Elsevier, vol. 51(C), pages 158-164.
    23. Ko, Sungmin & Shin, Jungwoo, 2023. "Projection of fuel cell electric vehicle demand reflecting the feedback effects between market conditions and market share affected by spatial factors," Energy Policy, Elsevier, vol. 173(C).
    24. Helveston, John Paul & Feit, Elea McDonnell & Michalek, Jeremy J., 2018. "Pooling stated and revealed preference data in the presence of RP endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 70-89.
    25. Mustafa Hamurcu & Tamer Eren, 2023. "Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study," Environment Systems and Decisions, Springer, vol. 43(2), pages 211-231, June.
    26. Louis-Gaëtan Giraudet & Céline Guivarch & Philippe Quirion, 2011. "Comparing and Combining Energy Saving Policies: Will Proposed Residential Sector Policies Meet French Official Targets?," The Energy Journal, , vol. 32(1_suppl), pages 213-242, June.
    27. Schwanen, Tim & Banister, David & Anable, Jillian, 2011. "Scientific research about climate change mitigation in transport: A critical review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 993-1006.
    28. Egnér, Filippa & Trosvik, Lina, 2018. "Electric vehicle adoption in Sweden and the impact of local policy instruments," Energy Policy, Elsevier, vol. 121(C), pages 584-596.
    29. Axsen, Jonn & Orlebar, Caroline & Skippon, Stephen, 2013. "Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study," Ecological Economics, Elsevier, vol. 95(C), pages 96-107.
    30. Masashi Okushima, 2015. "Simulating social influences on sustainable mobility shifts for heterogeneous agents," Transportation, Springer, vol. 42(5), pages 827-855, September.
    31. Schmitt, Michael T. & Aknin, Lara B. & Axsen, Jonn & Shwom, Rachael L., 2018. "Unpacking the Relationships Between Pro-environmental Behavior, Life Satisfaction, and Perceived Ecological Threat," Ecological Economics, Elsevier, vol. 143(C), pages 130-140.
    32. Axsen, Jonn, 2010. "Interpersonal Influence within Car Buyers’ Social Networks: Observing Consumer Assessment of Plug-in Hybrid Electric Vehicles (PHEVs) and the Spread of Pro-Societal Values," Institute of Transportation Studies, Working Paper Series qt8p32d18k, Institute of Transportation Studies, UC Davis.
    33. Hoppe, Janna & Tröndle, Tim & Patt, Anthony, 2025. "“I didn't like them from the beginning, and I hate them now.” Changes in attitudes towards electric vehicles and phase-out policies for conventional cars," Energy Policy, Elsevier, vol. 205(C).
    34. Driscoll, Áine & Lyons, Seán & Mariuzzo, Franco & Tol, Richard S. J., 2012. "Simulating Demand for Electrical Vehicles using Revealed Preference Data," Papers WP437, Economic and Social Research Institute (ESRI).
    35. Rudolph, Christian, 2016. "How may incentives for electric cars affect purchase decisions?," Transport Policy, Elsevier, vol. 52(C), pages 113-120.
    36. Jonn Axsen & Kenneth S Kurani, 2012. "Interpersonal Influence within Car Buyers' Social Networks: Applying Five Perspectives to Plug-in Hybrid Vehicle Drivers," Environment and Planning A, , vol. 44(5), pages 1047-1065, May.
    37. Wong Lai Soon & Wong Kee Luen & Jenny Marisa Lim Dao Siang, 2013. "Hybrid Vehicle Adoption – A Conceptual Study," Journal of Education and Vocational Research, AMH International, vol. 4(6), pages 165-168.
    38. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    39. Giraudet, Louis-Gaëtan & Guivarch, Céline & Quirion, Philippe, 2012. "Exploring the potential for energy conservation in French households through hybrid modeling," Energy Economics, Elsevier, vol. 34(2), pages 426-445.
    40. Dimatulac, Terence & Maoh, Hanna, 2017. "The spatial distribution of hybrid electric vehicles in a sprawled mid-size Canadian city: Evidence from Windsor, Canada," Journal of Transport Geography, Elsevier, vol. 60(C), pages 59-67.
    41. Noel, Lance & Papu Carrone, Andrea & Jensen, Anders Fjendbo & Zarazua de Rubens, Gerardo & Kester, Johannes & Sovacool, Benjamin K., 2019. "Willingness to pay for electric vehicles and vehicle-to-grid applications: A Nordic choice experiment," Energy Economics, Elsevier, vol. 78(C), pages 525-534.
    42. Brand, Christian & Cluzel, Celine & Anable, Jillian, 2017. "Modeling the uptake of plug-in vehicles in a heterogeneous car market using a consumer segmentation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 121-136.
    43. Axsen, Jonn & Wolinetz, Michael, 2023. "What does a low-carbon fuel standard contribute to a policy mix? An interdisciplinary review of evidence and research gaps," Transport Policy, Elsevier, vol. 133(C), pages 54-63.
    44. Requia, Weeberb J. & Adams, Matthew D. & Arain, Altaf & Koutrakis, Petros & Ferguson, Mark, 2017. "Carbon dioxide emissions of plug-in hybrid electric vehicles: A life-cycle analysis in eight Canadian cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1390-1396.
    45. Achtnicht, Martin & Bühler, Georg & Hermeling, Claudia, 2012. "Impact of service station networks on purchase decisions of alternative-fuel vehicles," ZEW Discussion Papers 08-088 [rev.], ZEW - Leibniz Centre for European Economic Research.
    46. Trotta, Gianluca & Sommer, Stephan, 2024. "The effect of changing registration taxes on electric vehicle adoption in Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    47. Choi, Hyunhong & Koo, Yoonmo, 2023. "New technology product introduction strategy with considerations for consumer-targeted policy intervention and new market entrant," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    48. Araña, Jorge E. & León, Carmelo J., 2013. "Dynamic hypothetical bias in discrete choice experiments: Evidence from measuring the impact of corporate social responsibility on consumers demand," Ecological Economics, Elsevier, vol. 87(C), pages 53-61.
    49. Illmann, Ulrike & Kluge, Jan, 2019. "Public Charging Infrastructure and the Market Diffusion of Electric Vehicles," IHS Working Paper Series 9, Institute for Advanced Studies.
    50. Heutel, Garth & Muehlegger, Erich, 2010. "Consumer Learning and Hybrid Vehicle Adoption," Working Paper Series rwp10-013, Harvard University, John F. Kennedy School of Government.
    51. Tanaka, Makoto & Ida, Takanori & Murakami, Kayo & Friedman, Lee, 2014. "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, Elsevier, vol. 70(C), pages 194-209.
    52. Pettifor, H. & Wilson, C. & Axsen, J. & Abrahamse, W. & Anable, J., 2017. "Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis," Journal of Transport Geography, Elsevier, vol. 62(C), pages 247-261.
    53. André Hackbarth & Reinhard Madlener, 2011. "Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis," FCN Working Papers 20/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    54. Noll, Daniel & Dawes, Colleen & Rai, Varun, 2014. "Solar Community Organizations and active peer effects in the adoption of residential PV," Energy Policy, Elsevier, vol. 67(C), pages 330-343.
    55. McCoy, Daire & Lyons, Sean, 2014. "The diffusion of electric vehicles: An agent-based microsimulation," MPRA Paper 54560, University Library of Munich, Germany.
    56. Xie, Fei & Lin, Zhenhong, 2017. "Market-driven automotive industry compliance with fuel economy and greenhouse gas standards: Analysis based on consumer choice," Energy Policy, Elsevier, vol. 108(C), pages 299-311.
    57. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    58. Sanghamitra Mukherjee & Tensay Meles & L. (Lisa B.) Ryan & Séin Healy & Robert Mooney & Lindsay Sharpe & Paul Hayes, 2020. "Attitudes to Renewable Energy Technologies: Driving Change in Early Adopter Markets," Working Papers 202026, School of Economics, University College Dublin.
    59. Gabriela D. Oliveira & Luis C. Dias, 2019. "Influence of Demographics on Consumer Preferences for Alternative Fuel Vehicles: A Review of Choice Modelling Studies and a Study in Portugal," Energies, MDPI, vol. 12(2), pages 1-33, January.
    60. Sykes, Maxwell & Axsen, Jonn, 2017. "No free ride to zero-emissions: Simulating a region's need to implement its own zero-emissions vehicle (ZEV) mandate to achieve 2050 GHG targets," Energy Policy, Elsevier, vol. 110(C), pages 447-460.
    61. Haaf, C. Grace & Morrow, W. Ross & Azevedo, Inês M.L. & Feit, Elea McDonnell & Michalek, Jeremy J., 2016. "Forecasting light-duty vehicle demand using alternative-specific constants for endogeneity correction versus calibration," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 182-210.
    62. Axsen, Jonn & Kurani, Kenneth S., 2013. "Hybrid, plug-in hybrid, or electric—What do car buyers want?," Energy Policy, Elsevier, vol. 61(C), pages 532-543.
    63. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    64. Dwivedi, Pankaj Prasad & Sharma, Dilip Kumar, 2023. "Evaluation and ranking of battery electric vehicles by Shannon’s entropy and TOPSIS methods," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 212(C), pages 457-474.
    65. Mukherjee, Sanghamitra Chattopadhyay & Ryan, Lisa, 2020. "Factors influencing early battery electric vehicle adoption in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    66. J. -F. Mercure & H. Pollitt & A. M. Bassi & J. E Vi~nuales & N. R. Edwards, 2015. "Modelling complex systems of heterogeneous agents to better design sustainability transitions policy," Papers 1506.07432, arXiv.org, revised Feb 2016.
    67. Bhardwaj, Chandan & Axsen, Jonn & McCollum, David, 2022. "Which “second-best” climate policies are best? Simulating cost-effective policy mixes for passenger vehicles," Resource and Energy Economics, Elsevier, vol. 70(C).
    68. Bhardwaj, Chandan & Axsen, Jonn & McCollum, David, 2022. "How to design a zero-emissions vehicle mandate? Simulating impacts on sales, GHG emissions and cost-effectiveness using the AUtomaker-Consumer Model (AUM)," Transport Policy, Elsevier, vol. 117(C), pages 152-168.
    69. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    70. Martin Achtnicht, 2012. "German car buyers’ willingness to pay to reduce CO 2 emissions," Climatic Change, Springer, vol. 113(3), pages 679-697, August.
    71. Hasan-Basri, Bakti & Mohd Mustafa, Muzafarshah & Bakar, Normizan, 2019. "Are Malaysian Consumers Willing to Pay for Hybrid Cars’ Attributes?," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(1), pages 121-134.
    72. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    73. J�r�me Massiani, 2013. "SP surveys for electric and alternative fuel vehicles: are we doing the right thing?," Working Papers 2013_01, Department of Economics, University of Venice "Ca' Foscari".
    74. Heike I. Brugger & Adam Douglas Henry, 2019. "Equity of Incentives: Agent-Based Explorations of How Social Networks Influence the Efficacy of Programs to Promote Solar Adoption," Complexity, Hindawi, vol. 2019, pages 1-15, February.
    75. Sun, Shanxia & Delgado, Michael & Khanna, Neha, "undated". "Hybrid Vehicles and Household Driving Behavior: Implications for Miles Traveled and Gasoline Consumption," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258502, Agricultural and Applied Economics Association.
    76. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    77. Sommer, Stephan & Vance, Colin, 2021. "Do more chargers mean more electric cars?," Ruhr Economic Papers 893, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    78. Achtnicht, Martin, 2009. "German car buyers' willingness to pay to reduce CO₂ emissions," ZEW Discussion Papers 09-058, ZEW - Leibniz Centre for European Economic Research.
    79. Takanori Ida & Kayo Murakami & Makoto Tanaka, 2012. "Keys to Smart Home Diffusion: A Stated Preference Analysis of Smart Meters, Photovoltaic Generation, and Electric/Hybrid Vehicles," Discussion papers e-11-011, Graduate School of Economics Project Center, Kyoto University.
    80. Alexandros Dimitropoulos & Piet Rietveld & Jos N. van Ommeren, 2011. "Consumer Valuation of Driving Range: A Meta-Analysis," Tinbergen Institute Discussion Papers 11-133/3, Tinbergen Institute.
    81. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.
    82. Ecer, Fatih, 2021. "A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    83. Bera, Reema & Maitra, Bhargab, 2021. "Assessing consumer preferences for Plug-in Hybrid Electric Vehicle (PHEV): An Indian perspective," Research in Transportation Economics, Elsevier, vol. 90(C).
    84. Axsen, Jonn & Kurani, Kenneth S., 2009. "Interpersonal Influence within Car Buyers’ Social Networks: Five Perspectives on Plug-in Hybrid Electric Vehicle Demonstration Participants," Institute of Transportation Studies, Working Paper Series qt35w7s3jp, Institute of Transportation Studies, UC Davis.
    85. Mark Jaccard & Suzanne Goldberg, 2014. "Technology Assumptions and Climate Policy: The Interrelated Effects of U.S. Electricity and Transport Policy," The Energy Journal, , vol. 35(1_suppl), pages 89-100, June.
    86. Yueling Xu & Wenyu Zhang & Haijun Bao & Shuai Zhang & Ying Xiang, 2019. "A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    87. Hammond, William & Axsen, Jonn & Kjeang, Erik, 2020. "How to slash greenhouse gas emissions in the freight sector: Policy insights from a technology-adoption model of Canada," Energy Policy, Elsevier, vol. 137(C).
    88. Lee, Duk Hee & Park, Sang Yong & Kim, Jong Wook & Lee, Seong Kon, 2013. "Analysis on the feedback effect for the diffusion of innovative technologies focusing on the green car," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 498-509.
    89. Andreas Ziegler, 2010. "Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis," CER-ETH Economics working paper series 10/125, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    90. Long, Zoe & Kormos, Christine & Sussman, Reuven & Axsen, Jonn, 2021. "MPG, fuel costs, or savings? Exploring the role of information framing in consumer valuation of fuel economy using a choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 109-127.
    91. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
    92. Jonn Axsen & Kenneth S Kurani, 2014. "Social Influence and Proenvironmental Behavior: The Reflexive Layers of Influence Framework," Environment and Planning B, , vol. 41(5), pages 847-862, October.
    93. J�r�me Massiani, 2013. "The use of Stated Preferences to forecast alternative fuel vehicles market diffusion: Comparisons with other methods and proposal for a Synthetic Utility Function," Working Papers 2013:12, Department of Economics, University of Venice "Ca' Foscari".
    94. Mark Jaccard and Suzanne Goldberg, 2014. "Technology Assumptions and Climate Policy: The Interrelated Effects of U.S. Electricity and Transport Policy," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    95. Wolinetz, Michael & Axsen, Jonn, 2017. "How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 238-250.
    96. Murphy, Rose & Jaccard, Mark, 2011. "Energy efficiency and the cost of GHG abatement: A comparison of bottom-up and hybrid models for the US," Energy Policy, Elsevier, vol. 39(11), pages 7146-7155.
    97. Kloess, Maximilian & Müller, Andreas, 2011. "Simulating the impact of policy, energy prices and technological progress on the passenger car fleet in Austria--A model based analysis 2010-2050," Energy Policy, Elsevier, vol. 39(9), pages 5045-5062, September.
    98. Prateek Bansal & Rajeev Ranjan Kumar & Alok Raj & Subodh Dubey & Daniel J. Graham, 2021. "Willingness to Pay and Attitudinal Preferences of Indian Consumers for Electric Vehicles," Papers 2101.08008, arXiv.org, revised May 2021.
    99. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.
    100. Xiaoyao Xie & Yuhong Wang & Xiaozhong Li, 2019. "The Usage Analysis and Policy Choice of CNG Taxis Based on a Multi-stage Dynamic Game Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1379-1390, December.
    101. Chen, Kee-Kuo & Ho, Hui-Ping & Chang, Ching-Ter, 2015. "Estimating attributes importance for container shipping industry by closing the listening gap with maximum convergent validity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 145-163.
    102. Fox, Jacob & Axsen, Jonn & Jaccard, Mark, 2017. "Picking Winners: Modelling the Costs of Technology-specific Climate Policy in the U.S. Passenger Vehicle Sector," Ecological Economics, Elsevier, vol. 137(C), pages 133-147.
    103. Gabriela D. Oliveira & Luis C. Dias, 2020. "The potential learning effect of a MCDA approach on consumer preferences for alternative fuel vehicles," Annals of Operations Research, Springer, vol. 293(2), pages 767-787, October.
    104. Geske, Joachim & Schumann, Diana, 2018. "Willing to participate in vehicle-to-grid (V2G)? Why not!," Energy Policy, Elsevier, vol. 120(C), pages 392-401.
    105. Yan, Jianghui & Tseng, Fang-Mei & Lu, Louis Y.Y., 2018. "Developmental trajectories of new energy vehicle research in economic management: Main path analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 168-181.
    106. Ziegler, Andreas, 2012. "Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1372-1385.
    107. Yan, Shiyu, 2018. "The economic and environmental impacts of tax incentives for battery electric vehicles in Europe," Energy Policy, Elsevier, vol. 123(C), pages 53-63.
    108. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
    109. Wolbertus, Rick & van den Hoed, Robert & Kroesen, Maarten & Chorus, Caspar, 2021. "Charging infrastructure roll-out strategies for large scale introduction of electric vehicles in urban areas: An agent-based simulation study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 262-285.
    110. Richard ILes, 2017. "Government Doctor Absenteeism And Its Effects On Consumer Demand In Rural North India," Working Papers 2018-9, School of Economic Sciences, Washington State University.
    111. Jaccard, Mark & Murphy, Rose & Zuehlke, Brett & Braglewicz, Morgan, 2019. "Cities and greenhouse gas reduction: Policy makers or policy takers?," Energy Policy, Elsevier, vol. 134(C).
    112. Ladenburg, Jacob & Lutzeyer, Sanja, 2012. "The economics of visual disamenity reductions of offshore wind farms—Review and suggestions from an emerging field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6793-6802.
    113. Rhodes, Ekaterina & Hoyle, Aaron & McPherson, Madeleine & Craig, Kira, 2022. "Understanding climate policy projections: A scoping review of energy-economy models in Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).

  5. Frank T. Denton & Dean C. Mountain, 2002. "Aggregation Effects on Price and Expenditure Elasticities in a Quadratic Almost Ideal Demand System," Quantitative Studies in Economics and Population Research Reports 374, McMaster University.

    Cited by:

    1. Bente Halvorsen & Bodil M. Larsen, 2013. "How serious is the aggregation problem? An empirical illustration," Applied Economics, Taylor & Francis Journals, vol. 45(26), pages 3786-3794, September.
    2. Frank T. Denton & Dean C. Mountain, 2011. "Aggregation and Other Biases in the Calculation of Consumer Elasticities for Models of Arbitrary Rank," Quantitative Studies in Economics and Population Research Reports 447, McMaster University.
    3. Baek, Ji Won, 2016. "The effects of the Internet and mobile services on urban household expenditures: The case of South Korea," Telecommunications Policy, Elsevier, vol. 40(1), pages 22-38.
    4. Bente Halvorsen & Bodil M. Larsen, 2008. "The Role of Heterogeneous Demand for Temporal and Structural Aggregation Bias," Discussion Papers 537, Statistics Norway, Research Department.
    5. Zhang, Aihua & Lv, Jia & Kong, Ying, 2017. "The Effects of the Internet and Mobile Services on Urban Household Expenditures," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168554, International Telecommunications Society (ITS).
    6. Ingvild Almas, 2012. "International Income Inequality: Measuring PPP Bias by Estimating Engel Curves for Food," American Economic Review, American Economic Association, vol. 102(2), pages 1093-1117, April.
    7. Frank T. Denton & Dean C. Mountain & Byron G Spencer, 2006. "Errors of aggregation and errors of specification in a consumer demand model: a theoretical note," Canadian Journal of Economics, Canadian Economics Association, vol. 39(4), pages 1398-1407, November.
    8. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.
    9. Frank Denton & Dean Mountain, 2014. "The implications of mean scaling for the calculation of aggregate consumer elasticities," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(3), pages 297-314, September.
    10. Bente Halvorsen & Bodil M. Larsen, 2006. "Aggregation with price variation and heterogeneity across consumers," Discussion Papers 489, Statistics Norway, Research Department.
    11. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.
    12. Diakité, Zakary, 2023. "Estimating Demand for Lamb, Beef, Pork, and Poultry in Canada," MPRA Paper 120115, University Library of Munich, Germany.
    13. Frank Denton & Dean Mountain & Byron Spencer, 2006. "Age, Retirement, and Expenditure Patterns: An Econometric Study of Older Households," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(4), pages 421-434, December.
    14. Frank T. Denton & Dean C. Mountain, 2016. "Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation," Empirical Economics, Springer, vol. 50(2), pages 531-560, March.
    15. Bente Halvorsen, 2006. "When can micro properties be used to predict aggregate demand?," Discussion Papers 452, Statistics Norway, Research Department.

  6. Frank T. Denton & Dean C. Mountain & Byron G. Spencer, 2002. "Age, Retirement and Expenditure Patterns: An Econometric Study of Older Canadian Households," Quantitative Studies in Economics and Population Research Reports 375, McMaster University.

    Cited by:

    1. Frank T. Denton & Ross Finnie & Byron G. Spencer, 2009. "Income Replacement in Retirement: Longitudinal Evidence from Income Tax Records," Quantitative Studies in Economics and Population Research Reports 436, McMaster University.
    2. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    3. Keating, Norah C. & Fast, Janet E. & Lero, Donna S. & Lucas, Sarah J. & Eales, Jacquie, 2014. "A taxonomy of the economic costs of family care to adults," The Journal of the Economics of Ageing, Elsevier, vol. 3(C), pages 11-20.
    4. Bonnie-Jeanne MacDonald & Doug Andrews & Robert L. Brown, 2011. "The Canadian Elder Standard - Pricing the Cost of Basic Needs for the Canadian Elderly," Social and Economic Dimensions of an Aging Population Research Papers 286, McMaster University.
    5. Laura Romeu Gordo & Andreas Motel-Klingebiel & Susanne Wurm, 2009. "SOEP as a Source for Research on Ageing – Issues, Measures and Possibilities for Improvement," RatSWD Working Papers 83, German Data Forum (RatSWD).
    6. Mette Christensen, 2008. "Demand patterns around retirement: Evidence from Spanish panel data," Economics Discussion Paper Series 0809, Economics, The University of Manchester.
    7. Paula C. Albuquerque & João C. Lopes, 2010. "Economic Impacts of Ageing: An Interindustry Approach," Working Papers Department of Economics 2010/01, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    8. José M. Labeaga & Rubén Osuna, 2007. "Expenditures at retirement by Spanish households," Working Papers 2007-36, FEDEA.

  7. Frank T. Denton & Dean C. Mountain & Byron G. Spencer, 1997. "Energy Use in the Commercial Sector: Estimated Intensities and Costs for Canada Based on US Survey Data," Quantitative Studies in Economics and Population Research Reports 337, McMaster University.

    Cited by:

    1. Frank T. Denton & Dean C. Mountain & Byron G. Spencer, 2003. "Energy Demand with Declining Rate Schedules: An Econometric Model for the U.S. Commercial Sector," Land Economics, University of Wisconsin Press, vol. 79(1), pages 86-105.

  8. Hsiao, C. & Mountain, D.C. & Ho, C.F., 1994. "A Bayesian Integration of End-Use Metering and Conditional Demand Analysis," Papers 9411, Southern California - Department of Economics.

    Cited by:

    1. Frondel, Manuel & Sommer, Stephan & Vance, Colin, 2019. "Heterogeneity in German Residential Electricity Consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 131(C), pages 370-379.
    2. Rahman, Sanzidur & Anik, Asif Reza, 2020. "Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture," Land Use Policy, Elsevier, vol. 94(C).
    3. Benos, Nikos, 2009. "Fiscal policy and economic growth: empirical evidence from EU countries," MPRA Paper 19174, University Library of Munich, Germany.
    4. Serge Mandiefe Piabuo & Peter A. Minang & Chupezi Julius Tieguhong & Divine Foundjem-Tita & Frankline Nghobuoche, 2021. "Illegal logging, governance effectiveness and carbon dioxide emission in the timber-producing countries of Congo Basin and Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14176-14196, October.
    5. Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Statistics Norway, Research Department.
    6. Hannah Goozee, 2017. "Energy, Poverty and Development: A Primer for the Sustainable Development Goals," Working Papers id:11933, eSocialSciences.
    7. Rosa Aísa & Jesús Clemente & Fernando Pueyo, 2014. "The influence of (public) health expenditure on longevity," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(5), pages 867-875, October.
    8. Maya Papineau & Kareman Yassin & Guy Newsham & Sarah Brice, 2020. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Carleton Economic Papers 20-21, Carleton University, Department of Economics.
    9. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    10. Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Statistics Norway, Research Department.
    11. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
    12. Shigeru Matsumoto, 2015. "Electric Appliance Ownership and Usage: Application of Conditional Demand Analysis to Japanese Household Data," Working Papers e098, Tokyo Center for Economic Research.
    13. Teresa Garín-Muñoz & Teodosio Pérez-Amaral & Rafael López, 2020. "Consumer engagement in e-Tourism: Micro-panel data models for the case of Spain," Tourism Economics, , vol. 26(6), pages 853-872, September.
    14. Dimitrios PAPARAS & Christian RICHTER & Alexandros PAPARAS, 2015. "Fiscal Policy and Economic Growth, Empirical Evidence in European Union," Turkish Economic Review, KSP Journals, vol. 2(4), pages 239-268, December.
    15. Hannah Goozee, 2017. "Energy, poverty and development: a primer for the Sustainable Development Goals," Working Papers 156, International Policy Centre.
    16. Wang, Jiao & Ji, Andy G., 2006. "Exchange rate sensitivity of China's bilateral trade flows," BOFIT Discussion Papers 19/2006, Bank of Finland Institute for Emerging Economies (BOFIT).
    17. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    18. Minyoung Jo & Sangyeol Lee, 2021. "On CUSUM test for dynamic panel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 515-542, June.
    19. Dimitrios Paparas & Christian Richter, 2015. "Fiscal policy and economic growth: Empirical evidence from the European Union," Working Papers 2015.06, International Network for Economic Research - INFER.
    20. Wadud, Mokhtarul & Ali Ahmed, Huson Joher & Tang, Xueli, 2020. "Factors affecting delinquency of household credit in the U.S.: Does consumer sentiment play a role?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    21. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    22. Mr. Serhan Cevik & Keitaro Ninomiya, 2022. "Chasing the Sun and Catching the Wind: Energy Transition and Electricity Prices in Europe," IMF Working Papers 2022/220, International Monetary Fund.
    23. T.G. Saji, 2018. "Financial Distress and Stock Market Failures: Lessons from Indian Realty Sector," Vision, , vol. 22(1), pages 50-60, March.
    24. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "The changing of the relationships between carbon footprints and final demand: Panel data evidence for 40 major countries," Energy Economics, Elsevier, vol. 61(C), pages 8-20.
    25. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    26. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    27. Matsumoto, Shigeru, 2016. "How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data," Energy Policy, Elsevier, vol. 94(C), pages 214-223.
    28. Ioannis Tsamourgelis & Persa Paflioti & Thomas Vitsounis, 2013. "Seaports Activity (A)synchronicity, Trade Intensity and Business Cycle Convergence: A Panel Data Analysis," International Journal of Maritime, Trade & Economic Issues (IJMTEI), International Journal of Maritime, Trade & Economic Issues (IJMTEI), vol. 0(1), pages 67-92.
    29. Hanne Marit Dalen and Bodil M. Larsen, 2015. "Residential End-use Electricity Demand: Development over Time," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    30. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    31. Mattias Vesterberg & Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, , vol. 37(4), pages 141-164, October.
    32. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "Residential energy environmental Kuznets curve in the EU-28," Energy, Elsevier, vol. 125(C), pages 44-54.
    33. SazanTaher Saeed & Dr. Hatem HatefAbdulkadhimAltaee, 2017. "Export and Economic Growth Nexus in the GCC Countries: A panel Data Approach," International Journal of Business and Social Research, LAR Center Press, vol. 7(12), pages 1-9, December.
    34. Sefa Awaworyi Churchill & Bin Peng & Russell Smyth & Quanda Zhang, 2022. "R&D intensity and income inequality in the G7: 1870–2016," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 263-282, July.
    35. Jeong-Yeon Lee & Daniel G. Bachrach & Kyle Lewis, 2014. "Social Network Ties, Transactive Memory, and Performance in Groups," Organization Science, INFORMS, vol. 25(3), pages 951-967, June.
    36. Tuan-Hock Ng & Chun-Teck Lye & Kar-Hoong Chan & Ying-Zhee Lim & Ying-San Lim, 2020. "Sustainability in Asia: The Roles of Financial Development in Environmental, Social and Governance (ESG) Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 17-44, July.
    37. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.
    38. Aydinalp-Koksal, Merih & Ugursal, V. Ismet, 2008. "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector," Applied Energy, Elsevier, vol. 85(4), pages 271-296, April.
    39. Aydinalp, Merih & Ismet Ugursal, V. & Fung, Alan S., 2002. "Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks," Applied Energy, Elsevier, vol. 71(2), pages 87-110, February.
    40. Yu, Dongwei & Tan, Hongwei & Ruan, Yingjun, 2012. "An improved two-step floating catchment area method for supporting district building energy planning: A case study of Yongding County city, China," Applied Energy, Elsevier, vol. 95(C), pages 156-163.

  9. Hsiao, C. & Mountain, D.C., 1993. "A Framework for Regional Modeling and Impact Analysis - An Analysis of the Demand for Electricity by Large Municipalities in Ontario, Canada," Papers 9317, Southern California - Department of Economics.

    Cited by:

    1. Fischer, E.W., 1993. "Light scattering and dielectric studies on glass forming liquids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 201(1), pages 183-206.
    2. Philip Arestis & Ana Rosa González & Oscar Dejuan, 2012. "Investment, Financial Markets, and Uncertainty," Economics Working Paper Archive wp_743, Levy Economics Institute.

  10. Hsiao, C. & Mountain, D.C. & Tsui, K.Y. & Chan, M.W.L., 1989. "Modeling Ontario Regional Electricity System Demand Using A Mixed Fixed And Random Coefficients Approach," Papers m8906, Southern California - Department of Economics.

    Cited by:

    1. Tai-Hsin Huang & Zixiong Xie, 2013. "Population and economic growth: a simultaneous equation perspective," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3820-3826, September.
    2. Konstantinos Chatzimichael & Pantelis Kalaitzidakis & Vangelis Tzouvelekas, 2019. "Tax evasion, tax monitoring expenses and economic growth: an empirical analysis in OECD countries," Empirical Economics, Springer, vol. 57(1), pages 285-300, July.
    3. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    4. Michael Feil, 2012. "Taxation and unemployment: (systematic) evidence from panel data analysis," EcoMod2012 4472, EcoMod.
    5. Aleksandra Kordalska & Magdalena Olczyk, 2016. "Global Competitiveness And Economic Growth: A One-Way Or Two-Way Relationship?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 121-142, March.
    6. Qayyum, Abdul & Siddiqui, Rehana & Hanif, Muhammad Nadim, 2004. "Financial Development and Economic Growth: Evidence from Heterogeneous Panel Data of Low Income Countries," MPRA Paper 23431, University Library of Munich, Germany.
    7. Erkan Erdil & I. Hakan Yetkiner, 2009. "The Granger-causality between health care expenditure and output: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 511-518.
    8. 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.
    9. Unal Tongur & Adem Yavuz Elveren, 2013. "Deunionization and Pay Inequality in OECD Countries: A Panel Granger Causality Approach," ERC Working Papers 1306, ERC - Economic Research Center, Middle East Technical University, revised May 2013.
    10. Abdur R. Chowdhury, 2010. "External Debt and Growth in Developing Countries: A Sensitivity and Causal Analysis," Working Papers id:3151, eSocialSciences.
    11. Arshat Hayat, 2017. "Foreign Direct Investments, Institutional Framework and Economic Growth," Working Papers IES 2017/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2017.
    12. Richard Grabowski and Sharmistha Self, 2019. "Structural Change and the Intersectoral Terms of Trade: Southeast Asian Experience," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(2), pages 29-47, June.
    13. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    14. Edward M Feasel & Nobuyuki Kanazawa, 2013. "Sentiment toward Trading Partners and International Trade," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(3), pages 309-327.
    15. Weichun Chen & Judith A. Clarke & Nilanjana Roy, 2014. "Health and wealth: Short panel Granger causality tests for developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(6), pages 755-784, September.
    16. M E Haque & D H Kim, 2003. "Public Investment in Transportation and Communication and Growth: A Dynamic Panel Approach," Economics Discussion Paper Series 0324, Economics, The University of Manchester.
    17. Uslu, Çağrı Levent & Aydoğan, Ebru Tomris & Ketenci, Natalya, 2015. "Economic Growth, Financial Development, and Trade Openness in Emerging Markets: Panel Approach," MPRA Paper 64722, University Library of Munich, Germany.
    18. Nicholas M. Odhiambo, 2021. "Is export-led growth hypothesis still valid for sub-Saharan African countries? New evidence from panel data analysis," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 31(1), pages 77-93, April.
    19. Diana Weinhold, 1996. "Tests de causalité sur données de panel : une application à l'étude de la causalité entre l'investissement et la croissance," Économie et Prévision, Programme National Persée, vol. 126(5), pages 163-175.
    20. Mohamad Ahmad Abou Hamia, 2024. "The integration of developing countries into world technology markets: cause or effect of total factor productivity?," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 879-902, February.
    21. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    22. Odhiambo, Nicholas M, 2021. "A test of exports-led growth hypothesis in Sub-Saharan African countries: Evidence from panel data analysis," Working Papers 27170, University of South Africa, Department of Economics.
    23. Kemal, A.R. & Qayyum, Abdul & Hanif, Muhammad N., 2004. "Financial Development and Economic Growth: Evidence from a Heterogeneous Panel of High Income Countries," MPRA Paper 10198, University Library of Munich, Germany.
    24. Shumway, C. Richard & Liu, Yucan, 2006. "Induced Innovation in the Agricultural Sector: Evidence From a State Panel," 2006 Annual meeting, July 23-26, Long Beach, CA 21089, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    25. Atakhanova, Zauresh & Howie, Peter, 2007. "Electricity demand in Kazakhstan," Energy Policy, Elsevier, vol. 35(7), pages 3729-3743, July.
    26. Erkan Erdil & I. Hakan Yetkiner, 2004. "A Panel Data Approach for Income-Health Causality," Working Papers FNU-47, Research unit Sustainability and Global Change, Hamburg University, revised Apr 2004.
    27. Diana Weinhold, 2004. "A Dynamic “Fixed Effects” Model for Heterogeneous Panel Data," Econometrics 0410003, University Library of Munich, Germany.
    28. Richard K. Moussa & Eric Delattre, 2023. "Dynamics of interactions between health and employment statuses: a panel data approach," SN Business & Economics, Springer, vol. 3(8), pages 1-26, August.
    29. A�a�Yrı Levent Uslu & Ebru Tomris Aydo�Yan & Natalya Ketenci, 2016. "Impact Of Structural Breaks Presence On Economic Development Of Emerging Countries," Journal Articles, Center For Economic Analyses, pages 5-21, December.
    30. João A. S. ANDRADE & Adelaide P. S. DUARTE & Marta C. N. SIMÕES, 2018. "Education and health: welfare state composition and growth across country groups," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 111-144, December.

  11. Mountain, D. & Hsiao, C., 1988. "A Combined Structural And Flexible Functional Approach For Modeling Energy Substitution," Papers m8815, Southern California - Department of Economics.

    Cited by:

    1. 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.
    2. Bacon, Robert, 1992. "Measuring the possibilities of interfuel substitution," Policy Research Working Paper Series 1031, The World Bank.
    3. Brown, Bryan W. & Walker, Mary Beth, 1995. "Stochastic specification in random production models of cost-minimizing firms," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 175-205.
    4. Banda, Benjamin M. & Hassan, Rashid M., 2011. "Inter-fuel substitution and dynamic adjustment in input demand: Implications for deforestation and carbon emission in Malawi," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(01), pages 1-16, March.

Articles

  1. Daruwala, Farhad & Denton, Frank T. & Mountain, Dean C., 2020. "One size may not fit all: Welfare benefits and cost reductions with optional differentiated household electricity rates," Resource and Energy Economics, Elsevier, vol. 61(C).

    Cited by:

    1. Hiroaki Ino & Norimichi Matsueda & Toshihiro Matsumura, 2021. "Market competition and strategic choices of electric power sources under fluctuating demand," Discussion Paper Series 223, School of Economics, Kwansei Gakuin University.

  2. Frank T. Denton & Dean C. Mountain, 2016. "Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation," Empirical Economics, Springer, vol. 50(2), pages 531-560, March.

    Cited by:

    1. Olabisi, Michael & Tschirley, David L. & Nyange, David & Awokuse, Titus, 2019. "Energy demand substitution from biomass to imported kerosene: Evidence from Tanzania," Energy Policy, Elsevier, vol. 130(C), pages 243-252.
    2. Olabisi, Michael & Tschirley, David L. & Nyange, David & Awokuse, Titus, "undated". "The Challenge of Substituting Sunflower Oil for Imported Palm Oil: Evidence from Tanzania," Feed the Future Innovation Lab for Food Security Policy Research Papers 275677, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    3. Núñez-Sánchez, Ramón & Otoya-Chavarría, Marco & Soberón, Alexandra, 2024. "Price and budget elasticities under utility poverty policies in Spain," Utilities Policy, Elsevier, vol. 88(C).

  3. Hou, Keqiang & Mountain, Dean C. & Wu, Ting, 2016. "Oil price shocks and their transmission mechanism in an oil-exporting economy: A VAR analysis informed by a DSGE model," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 21-49.

    Cited by:

    1. Adolfsen, Jakob Feveile & Ferrari Minesso, Massimo & Mork, Jente Esther & Van Robays, Ine, 2024. "Gas price shocks and euro area inflation," Journal of International Money and Finance, Elsevier, vol. 149(C).
    2. Doojav Gan-Ochir & Luvsannyam Davaajargal, 2023. "Forecasting Inflation in Mongolia: A Dynamic Model Averaging Approach," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 27-48, January.
    3. Peter Y. Jang & Mario G. Beruvides, 2020. "Time-Varying Influences of Oil-Producing Countries on Global Oil Price," Energies, MDPI, vol. 13(6), pages 1-22, March.
    4. Escalante, Luis & Mamboundou, Pierre, 2024. "Adapting fiscal strategies to energy and food price shocks in Portugal," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 651-665.
    5. Jin, Hao & Xiong, Chen, 2021. "Fiscal stress and monetary policy stance in oil-exporting countries," Journal of International Money and Finance, Elsevier, vol. 111(C).
    6. Kevin Moran & Dalibor Stevanovic & Stéphane Surprenant, 2025. "Risk Scenarios and Macroeconomic Impacts: Insights for Canadian Policy," Canadian Public Policy, University of Toronto Press, vol. 51(3), pages 344-362, September.
    7. Dobronravova, Elizaveta (Добронравова, Елизавета), 2018. "Monetary Policy Peculiarities in Countries with Natural Resources, with Significant Changes in Terms of Trade [Особенности Монетарной Политики В Странах, Наделенных Природными Ресурсами, При Значит," Working Papers 031811, Russian Presidential Academy of National Economy and Public Administration.
    8. Charles O. Manasseh & Nnenna G. Nwonye & Felicia C. Abada & Ogochukwu Okanya & Anuli R. Ogbuagu & Felicia U. Eze-Dike & Osmond N. Okonkwo & Otene Samson & Okechukwu J. Akamike & John O. Okoh & Peter O, 2022. "Evaluating Oil Price Movement and Revenue Generation in Nigeria during Covid-19 Pandemic: Experience from Pre and Post Era," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 57-65, May.
    9. Nakhli, Seyyed Reza & Rafat, Monireh & Dastjerdi, Rasul Bakhshi & Rafei, Meysam, 2021. "Oil sanctions and their transmission channels in the Iranian economy: A DSGE model," Resources Policy, Elsevier, vol. 70(C).
    10. Al Jabri, Salwa & Raghavan, Mala & Vespignani, Joaquin, 2022. "Oil prices and fiscal policy in an oil-exporter country: Empirical evidence from Oman," Energy Economics, Elsevier, vol. 111(C).
    11. Yildirim, Zekeriya & Arifli, Arif, 2021. "Oil price shocks, exchange rate and macroeconomic fluctuations in a small oil-exporting economy," Energy, Elsevier, vol. 219(C).
    12. Yin, Libo & Ma, Xiyuan, 2018. "Causality between oil shocks and exchange rate: A Bayesian, graph-based VAR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 434-453.
    13. Glocker, Christian & Wegmüller, Philipp, 2024. "Energy price surges and inflation: Fiscal policy to the rescue?," Journal of International Money and Finance, Elsevier, vol. 149(C).
    14. Wang, Xinghua & Lee, Zhengzheng & Wu, Shuang & Qin, Meng, 2023. "Exploring the vital role of geopolitics in the oil market: The case of Russia," Resources Policy, Elsevier, vol. 85(PB).
    15. Díaz-Kovalenko, Igor E. & Torres, José L., 2022. "Oil price shocks, government revenues and public investment: The case of Ecuador," MPRA Paper 112268, University Library of Munich, Germany, revised 07 Mar 2022.
    16. ha, jongrim & Kose, Ayhan M. & Ohnsorge, Franziska & Yilmazkuday, Hakan, 2023. "What Explains Global Inflation," MPRA Paper 119645, University Library of Munich, Germany.
    17. Fu, Buben & Wang, Bin, 2020. "The transition of China's monetary policy regime: Before and after the four trillion RMB stimulus," Economic Modelling, Elsevier, vol. 89(C), pages 273-303.
    18. Pham T. T. Trinh & Bui T. T. My, 2023. "The impact of world oil price shocks on macroeconomic variables in Vietnam: the transmission through domestic oil price," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 37(1), pages 67-87, May.
    19. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2017. "Forecasting the real prices of crude oil using forecast combinations over time-varying parameter models," Energy Economics, Elsevier, vol. 66(C), pages 337-348.
    20. Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
    21. Su, Zhi & Mo, Xuan & Yin, Libo, 2021. "Oil market uncertainty and excess returns on currency carry trade," Research in International Business and Finance, Elsevier, vol. 56(C).
    22. Andre Harrison & Annika Segelhorst, 2024. "Do consumer price indices in oil-producing economies respond differently to oil market shocks? Evidence from Canada," Empirical Economics, Springer, vol. 67(5), pages 2039-2076, November.
    23. Zhao, Yiran & Gao, Xiangyun & Zheng, Huiling & Zhang, Yupeng & Sun, Qingru & Wang, Anjian & An, HaiZhong, 2025. "Identifying influence pathways of oil price shocks on inflation based on impulse response networks," Energy, Elsevier, vol. 314(C).
    24. He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021. "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, vol. 97(C).
    25. Ozu, Atsushi & Kasuga, Norihiro & Morikawa, Hiroyuki, 2020. "Cloud computing and its impact on the Japanese macroeconomy–its oligopolistic market characteristics and social welfare," Telecommunications Policy, Elsevier, vol. 44(1).
    26. Chan, Ying Tung & Qiao, Hui, 2023. "Volatility spillover between oil and stock prices: Structural connectedness based on a multi-sector DSGE model approach with Bayesian estimation," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 265-286.
    27. Lin, Jie & Xiao, Hao & Chai, Jian, 2023. "Dynamic effects and driving intermediations of oil price shocks on major economies," Energy Economics, Elsevier, vol. 124(C).
    28. Kevin Moran & Dalibor Stevanovic & Stephane Surprenant, 2024. "Risk Scenarios and Macroeconomic Forecasts," Working Papers 24-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised May 2025.
    29. Nina Morozko & Natalia Morozko & Valentina Didenko, 2021. "Energy Prices and Households Incomes Growth Proportions in Russia s Case Context," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 243-250.
    30. Zhang, Yaojie & Ma, Feng & Shi, Benshan & Huang, Dengshi, 2018. "Forecasting the prices of crude oil: An iterated combination approach," Energy Economics, Elsevier, vol. 70(C), pages 472-483.
    31. Amiri, Hossein & Sayadi, Mohammad & Mamipour, Siab, 2021. "Oil Price Shocks and Macroeconomic Outcomes; Fresh Evidences from a scenario-based NK-DSGE analysis for oil-exporting countries," Resources Policy, Elsevier, vol. 74(C).
    32. Zhang, Yaojie & Wahab, M.I.M. & Wang, Yudong, 2023. "Forecasting crude oil market volatility using variable selection and common factor," International Journal of Forecasting, Elsevier, vol. 39(1), pages 486-502.
    33. Ginn, William, 2024. "The paradox of fossil fuel subsidies," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 333-358.
    34. Zoundi, Zakaria, 2024. "Wells or Welfare? Macroeconomic implications of the Canadian oil subsidy," Economic Modelling, Elsevier, vol. 139(C).
    35. Lin, Boqiang & Su, Tong, 2020. "Does oil price have similar effects on the exchange rates of BRICS?," International Review of Financial Analysis, Elsevier, vol. 69(C).
    36. Baghestani, Hamid & Toledo, Hugo, 2019. "Oil prices and real exchange rates in the NAFTA region," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 253-264.
    37. Umar Tijjani Babuga & Niaz Ahmad Mohd Naseem, 2022. "Oil Price Change and Economic Growth: Evidence from Net Sub-Saharan Africa Oil Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 369-378, March.
    38. Geng, Qianjie, 2025. "Is there a robust hedging method during the COVID-19 pandemic? Evidence from Chinese crude oil futures," Energy Economics, Elsevier, vol. 144(C).
    39. Nyakundi M. Michieka & Richard S. Gearhart, 2022. "Oil price changes and wages: a nonlinear and asymmetric approach," Economic Change and Restructuring, Springer, vol. 55(1), pages 1-71, February.
    40. Omotosho, Babatunde S., 2019. "Business Cycle Fluctuations in Nigeria: Some Insights from an Estimated DSGE Model," MPRA Paper 98351, University Library of Munich, Germany.
    41. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2022. "Geopolitical risk trends and crude oil price predictability," Energy, Elsevier, vol. 258(C).
    42. Yin, Libo & Feng, Jiabao & Han, Liyan, 2021. "Systemic risk in international stock markets: Role of the oil market," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 592-619.
    43. Gormus, Alper & Nazlioglu, Saban & Soytas, Ugur, 2018. "High-yield bond and energy markets," Energy Economics, Elsevier, vol. 69(C), pages 101-110.

  4. Faruqui, Ahmad & Sergici, Sanem & Lessem, Neil & Mountain, Dean, 2015. "Impact measurement of tariff changes when experimentation is not an option—A case study of Ontario, Canada," Energy Economics, Elsevier, vol. 52(PA), pages 39-48.

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    1. Nijhuis, M. & Gibescu, M. & Cobben, J.F.G., 2017. "Analysis of reflectivity & predictability of electricity network tariff structures for household consumers," Energy Policy, Elsevier, vol. 109(C), pages 631-641.
    2. Vaughan, Jim & Doumen, Sjoerd C. & Kok, Koen, 2023. "Empowering tomorrow, controlling today: A multi-criteria assessment of distribution grid tariff designs," Applied Energy, Elsevier, vol. 341(C).
    3. Jang, Heesun & Moon, Seongman & Kim, Jihyo, 2024. "Effects of time-of-use pricing for residential customers and wholesale market consequences in South Korea," Energy Economics, Elsevier, vol. 134(C).
    4. Joshua Blonz & Karen Palmer & Casey J. Wichman & Derek C. Wietelman, 2025. "Smart Thermostats, Automation, and Time-Varying Prices," American Economic Journal: Applied Economics, American Economic Association, vol. 17(1), pages 90-125, January.
    5. Sulaima, Mohamad Fani & Dahlan, Nofri Yenita & Yasin, Zuhaila Mat & Rosli, Marlinda Mohd & Omar, Zulkiflee & Hassan, Mohammad Yusri, 2019. "A review of electricity pricing in peninsular Malaysia: Empirical investigation about the appropriateness of Enhanced Time of Use (ETOU) electricity tariff," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 348-367.
    6. Walsh, Darragh & Malaguzzi Valeri, Laura & Di Cosmo, Valeria, 2016. "Strategic bidding, wind ownership and regulation in a decentralised electricity market," MPRA Paper 71502, University Library of Munich, Germany.
    7. Yueming Qiu & Loren Kirkeide & Yi David Wang, 2018. "Effects of Voluntary Time-of-Use Pricing on Summer Electricity Usage of Business Customers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 417-440, February.
    8. Y, Kiguchi & Y, Heo & M, Weeks & R, Choudhary, 2019. "Predicting intra-day load profiles under time-of-use tariffs using smart meter data," Energy, Elsevier, vol. 173(C), pages 959-970.

  5. Chan, M.W. Luke & Hou, Keqiang & Li, Xing & Mountain, Dean C., 2014. "Foreign direct investment and its determinants: A regional panel causality analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 579-589.

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    1. Shen, Chung-Hua & Lee, Yen Hsien & Wu, Meng-Wen & Guo, Na, 2016. "Does housing boom lead to credit boom or is it the other way around? The case of China," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 349-367.
    2. Dellis, Konstantinos & Sondermann, David & Vansteenkiste, Isabel, 2022. "Drivers of genuine FDI inflows in advanced economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 407-419.
    3. Murat Cetrez & Yasin Baris Altayligil, 2022. "The Role of Macroeconomic Stability in Current Account Balances," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 72(72-2), pages 569-597, December.
    4. Hock Tsen Wong, 2022. "Asymmetric Real Exchange Rate and Foreign Direct Investment Determinants: An Empirical Study of Malaysia," Capital Markets Review, Malaysian Finance Association, vol. 30(2), pages 19-37.
    5. Sami Ben Mim & Abir Hedi & Mohamed Sami Ben Ali, 2022. "Industrialization, FDI and absorptive capacities: evidence from African Countries," Economic Change and Restructuring, Springer, vol. 55(3), pages 1739-1766, August.
    6. Mariam Camarero & Laura Montolio & Cecilio Tamarit, 2020. "Determinants of FDI for Spanish regions: evidence using stock data," Empirical Economics, Springer, vol. 59(6), pages 2779-2820, December.
    7. Mohammad I. Elian & Nabeel Sawalha & Ahmed Bani-Mustafa, 2020. "Revisiting the FDI–Growth Nexus: ARDL Bound Test for BRICS Standalone Economies," Modern Applied Science, Canadian Center of Science and Education, vol. 14(6), pages 1-1, June.
    8. Rudra P. Pradhan, Mak B. Arvin, & Mahendhiran Nair, Jay Mittal, & Neville R. Norman, 2017. "Telecommunications infrastructure and usage and the FDI–growth nexus: evidence from Asian-21 countries "Abstract: This paper examines causal relationships between telecommunications infrastructur," Department of Economics - Working Papers Series 2032, The University of Melbourne.
    9. Udi Joshua, 2020. "Accounting for the Determinants of FDI Inflow in Nigeria amidst Global Oil Price Shock and Economic Recession," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 6(3), pages 30-38, September.
    10. Shi, Lifan & Li, Xing & Chen, Xi, 2025. "How does FDI affect enterprises' OFDI through trade networks?," International Review of Economics & Finance, Elsevier, vol. 97(C).
    11. Mariana Sehleanu, 2019. "Analysis Of Foreign Participation In The Share Capital Of Companies From The Counties Of North-West Region Of Romania," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 4(1), pages 7-16, March.
    12. Ghahroudi Mehdi Rasouli & Chong Li Choy, 2020. "The Macroeconomic Determinants and the Impact of Sanctions on FDI in Iran," Economics and Business, Sciendo, vol. 34(1), pages 15-34, February.
    13. Ștefan Cristian Gherghina & Liliana Nicoleta Simionescu & Oana Simona Hudea, 2019. "Exploring Foreign Direct Investment–Economic Growth Nexus—Empirical Evidence from Central and Eastern European Countries," Sustainability, MDPI, vol. 11(19), pages 1-33, September.
    14. Le, Thai-Ha & Tran-Nam, Binh, 2018. "Relative costs and FDI: Why did Vietnam forge so far ahead?," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 1-13.

  6. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.

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    1. Frank T. Denton & Dean C. Mountain, 2011. "Aggregation and Other Biases in the Calculation of Consumer Elasticities for Models of Arbitrary Rank," Quantitative Studies in Economics and Population Research Reports 447, McMaster University.
    2. Laura Cornelsen & Rosemary Green & Rachel Turner & Alan D. Dangour & Bhavani Shankar & Mario Mazzocchi & Richard D. Smith, 2015. "What Happens to Patterns of Food Consumption when Food Prices Change? Evidence from A Systematic Review and Meta‐Analysis of Food Price Elasticities Globally," Health Economics, John Wiley & Sons, Ltd., vol. 24(12), pages 1548-1559, December.
    3. Frank Denton & Dean Mountain, 2014. "The implications of mean scaling for the calculation of aggregate consumer elasticities," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(3), pages 297-314, September.
    4. Linden, Mikael & Ray, Devdatta, 2017. "Aggregation bias-correcting approach to the health–income relationship: Life expectancy and GDP per capita in 148 countries, 1970–2010," Economic Modelling, Elsevier, vol. 61(C), pages 126-136.
    5. Kijin Kim & Kurt Kratena & Geoffrey J.D. Hewings, 2015. "The Extended Econometric Input-Output Model With Heterogeneous Household Demand System," Economic Systems Research, Taylor & Francis Journals, vol. 27(2), pages 257-285, June.

  7. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.

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    1. Cayla, Jean-Michel & Maïzi, Nadia, 2015. "Integrating household behavior and heterogeneity into the TIMES-Households model," Applied Energy, Elsevier, vol. 139(C), pages 56-67.
    2. Yang, J. & Chen, F., 2021. "How are social-psychological factors related to consumer preferences for plug-in electric vehicles? Case studies from two cities in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    3. Huang, Youlin & Qian, Lixian & Tyfield, David & Soopramanien, Didier, 2021. "On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    4. Jean-Francois Mercure & Hector Pollitt & Unnada Chewpreecha & Pablo Salas & Aideen M. Foley & Philip B. Holden & Neil R. Edwards, 2013. "The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector," 4CMR Working Paper Series 006, University of Cambridge, Department of Land Economy, Cambridge Centre for Climate Change Mitigation Research.
    5. Ulrike Illmann & Jan Kluge, 2021. "Halb voll oder halb leer? Zur Bedeutung flächendeckender öffentlicher Ladeinfrastruktur für die Entwicklung der Elektromobilität," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 28(05), pages 10-17, October.
    6. Chakraborty, Debapriya & Bunch, David S. & Xu, Bingzheng & Brownstone, David & Tal, Gil, 2021. "Plug-in Electric Vehicle Diffusion in California: Role of Exposure to New Technology at Home and Work," Institute of Transportation Studies, Working Paper Series qt7fs8295j, Institute of Transportation Studies, UC Davis.
    7. Bansal, Prateek & Kumar, Rajeev Ranjan & Raj, Alok & Dubey, Subodh & Graham, Daniel J., 2021. "Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles," Energy Economics, Elsevier, vol. 100(C).
    8. Oliveira, Gabriela D. & Roth, Richard & Dias, Luis C., 2019. "Diffusion of alternative fuel vehicles considering dynamic preferences," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 83-99.
    9. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2015. "Assessing the Energy-Efficiency Gap," Working Papers 2015.35, Fondazione Eni Enrico Mattei.
    10. Parsons, George R. & Hidrue, Michael K. & Kempton, Willett & Gardner, Meryl P., 2014. "Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms," Energy Economics, Elsevier, vol. 42(C), pages 313-324.
    11. Kim, Kyungah & Lee, Jongsu & Kim, Junghun, 2021. "Can liquefied petroleum gas vehicles join the fleet of alternative fuel vehicles? Implications of transportation policy based on market forecast and environmental impact," Energy Policy, Elsevier, vol. 154(C).
    12. Melton, Noel & Axsen, Jonn & Goldberg, Suzanne, 2017. "Evaluating plug-in electric vehicle policies in the context of long-term greenhouse gas reduction goals: Comparing 10 Canadian provinces using the “PEV policy report card”," Energy Policy, Elsevier, vol. 107(C), pages 381-393.
    13. Gillespie Rob & Kragt Marit E., 2012. "Accounting for Nonmarket Impacts in a Benefit-Cost Analysis of Underground Coal Mining in New South Wales, Australia," Journal of Benefit-Cost Analysis, De Gruyter, vol. 3(2), pages 1-29, May.
    14. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
    15. Sun, Shanxia & Delgado, Michael S. & Khanna, Neha, 2019. "Hybrid vehicles, social signals and household driving: Implications for miles traveled and gasoline consumption," Energy Economics, Elsevier, vol. 84(C).
    16. Axsen, Jonn & Kurani, Kenneth S., 2010. "Interpersonal Influence and Pro-Societal Consumption: A Review of Diffusion, Conformity, Dissemination, Translation and Reflexivity," Institute of Transportation Studies, Working Paper Series qt8f49p47g, Institute of Transportation Studies, UC Davis.
    17. Chen, T. Donna & Wang, Yiyi & Kockelman, Kara M., 2015. "Where are the electric vehicles? A spatial model for vehicle-choice count data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 181-188.
    18. Irwin, Nicholas B., 2021. "Sunny days: Spatial spillovers in photovoltaic system adoptions," Energy Policy, Elsevier, vol. 151(C).
    19. Kwon, Yeongmin & Son, Sanghoon & Jang, Kitae, 2018. "Evaluation of incentive policies for electric vehicles: An experimental study on Jeju Island," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 404-412.
    20. Clewlow, Regina R., 2016. "Carsharing and sustainable travel behavior: Results from the San Francisco Bay Area," Transport Policy, Elsevier, vol. 51(C), pages 158-164.
    21. Ko, Sungmin & Shin, Jungwoo, 2023. "Projection of fuel cell electric vehicle demand reflecting the feedback effects between market conditions and market share affected by spatial factors," Energy Policy, Elsevier, vol. 173(C).
    22. Helveston, John Paul & Feit, Elea McDonnell & Michalek, Jeremy J., 2018. "Pooling stated and revealed preference data in the presence of RP endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 70-89.
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    24. Egnér, Filippa & Trosvik, Lina, 2018. "Electric vehicle adoption in Sweden and the impact of local policy instruments," Energy Policy, Elsevier, vol. 121(C), pages 584-596.
    25. Axsen, Jonn & Orlebar, Caroline & Skippon, Stephen, 2013. "Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study," Ecological Economics, Elsevier, vol. 95(C), pages 96-107.
    26. Masashi Okushima, 2015. "Simulating social influences on sustainable mobility shifts for heterogeneous agents," Transportation, Springer, vol. 42(5), pages 827-855, September.
    27. Schmitt, Michael T. & Aknin, Lara B. & Axsen, Jonn & Shwom, Rachael L., 2018. "Unpacking the Relationships Between Pro-environmental Behavior, Life Satisfaction, and Perceived Ecological Threat," Ecological Economics, Elsevier, vol. 143(C), pages 130-140.
    28. Axsen, Jonn, 2010. "Interpersonal Influence within Car Buyers’ Social Networks: Observing Consumer Assessment of Plug-in Hybrid Electric Vehicles (PHEVs) and the Spread of Pro-Societal Values," Institute of Transportation Studies, Working Paper Series qt8p32d18k, Institute of Transportation Studies, UC Davis.
    29. Hoppe, Janna & Tröndle, Tim & Patt, Anthony, 2025. "“I didn't like them from the beginning, and I hate them now.” Changes in attitudes towards electric vehicles and phase-out policies for conventional cars," Energy Policy, Elsevier, vol. 205(C).
    30. Driscoll, Áine & Lyons, Seán & Mariuzzo, Franco & Tol, Richard S. J., 2012. "Simulating Demand for Electrical Vehicles using Revealed Preference Data," Papers WP437, Economic and Social Research Institute (ESRI).
    31. Rudolph, Christian, 2016. "How may incentives for electric cars affect purchase decisions?," Transport Policy, Elsevier, vol. 52(C), pages 113-120.
    32. Jonn Axsen & Kenneth S Kurani, 2012. "Interpersonal Influence within Car Buyers' Social Networks: Applying Five Perspectives to Plug-in Hybrid Vehicle Drivers," Environment and Planning A, , vol. 44(5), pages 1047-1065, May.
    33. Wong Lai Soon & Wong Kee Luen & Jenny Marisa Lim Dao Siang, 2013. "Hybrid Vehicle Adoption – A Conceptual Study," Journal of Education and Vocational Research, AMH International, vol. 4(6), pages 165-168.
    34. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    35. Giraudet, Louis-Gaëtan & Guivarch, Céline & Quirion, Philippe, 2012. "Exploring the potential for energy conservation in French households through hybrid modeling," Energy Economics, Elsevier, vol. 34(2), pages 426-445.
    36. Dimatulac, Terence & Maoh, Hanna, 2017. "The spatial distribution of hybrid electric vehicles in a sprawled mid-size Canadian city: Evidence from Windsor, Canada," Journal of Transport Geography, Elsevier, vol. 60(C), pages 59-67.
    37. Noel, Lance & Papu Carrone, Andrea & Jensen, Anders Fjendbo & Zarazua de Rubens, Gerardo & Kester, Johannes & Sovacool, Benjamin K., 2019. "Willingness to pay for electric vehicles and vehicle-to-grid applications: A Nordic choice experiment," Energy Economics, Elsevier, vol. 78(C), pages 525-534.
    38. Brand, Christian & Cluzel, Celine & Anable, Jillian, 2017. "Modeling the uptake of plug-in vehicles in a heterogeneous car market using a consumer segmentation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 121-136.
    39. Axsen, Jonn & Wolinetz, Michael, 2023. "What does a low-carbon fuel standard contribute to a policy mix? An interdisciplinary review of evidence and research gaps," Transport Policy, Elsevier, vol. 133(C), pages 54-63.
    40. Requia, Weeberb J. & Adams, Matthew D. & Arain, Altaf & Koutrakis, Petros & Ferguson, Mark, 2017. "Carbon dioxide emissions of plug-in hybrid electric vehicles: A life-cycle analysis in eight Canadian cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1390-1396.
    41. Achtnicht, Martin & Bühler, Georg & Hermeling, Claudia, 2012. "Impact of service station networks on purchase decisions of alternative-fuel vehicles," ZEW Discussion Papers 08-088 [rev.], ZEW - Leibniz Centre for European Economic Research.
    42. Trotta, Gianluca & Sommer, Stephan, 2024. "The effect of changing registration taxes on electric vehicle adoption in Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    43. Choi, Hyunhong & Koo, Yoonmo, 2023. "New technology product introduction strategy with considerations for consumer-targeted policy intervention and new market entrant," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    44. Araña, Jorge E. & León, Carmelo J., 2013. "Dynamic hypothetical bias in discrete choice experiments: Evidence from measuring the impact of corporate social responsibility on consumers demand," Ecological Economics, Elsevier, vol. 87(C), pages 53-61.
    45. Illmann, Ulrike & Kluge, Jan, 2019. "Public Charging Infrastructure and the Market Diffusion of Electric Vehicles," IHS Working Paper Series 9, Institute for Advanced Studies.
    46. Heutel, Garth & Muehlegger, Erich, 2010. "Consumer Learning and Hybrid Vehicle Adoption," Working Paper Series rwp10-013, Harvard University, John F. Kennedy School of Government.
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    50. Noll, Daniel & Dawes, Colleen & Rai, Varun, 2014. "Solar Community Organizations and active peer effects in the adoption of residential PV," Energy Policy, Elsevier, vol. 67(C), pages 330-343.
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    55. Gabriela D. Oliveira & Luis C. Dias, 2019. "Influence of Demographics on Consumer Preferences for Alternative Fuel Vehicles: A Review of Choice Modelling Studies and a Study in Portugal," Energies, MDPI, vol. 12(2), pages 1-33, January.
    56. Sykes, Maxwell & Axsen, Jonn, 2017. "No free ride to zero-emissions: Simulating a region's need to implement its own zero-emissions vehicle (ZEV) mandate to achieve 2050 GHG targets," Energy Policy, Elsevier, vol. 110(C), pages 447-460.
    57. Haaf, C. Grace & Morrow, W. Ross & Azevedo, Inês M.L. & Feit, Elea McDonnell & Michalek, Jeremy J., 2016. "Forecasting light-duty vehicle demand using alternative-specific constants for endogeneity correction versus calibration," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 182-210.
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    61. Mukherjee, Sanghamitra Chattopadhyay & Ryan, Lisa, 2020. "Factors influencing early battery electric vehicle adoption in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    62. J. -F. Mercure & H. Pollitt & A. M. Bassi & J. E Vi~nuales & N. R. Edwards, 2015. "Modelling complex systems of heterogeneous agents to better design sustainability transitions policy," Papers 1506.07432, arXiv.org, revised Feb 2016.
    63. Bhardwaj, Chandan & Axsen, Jonn & McCollum, David, 2022. "Which “second-best” climate policies are best? Simulating cost-effective policy mixes for passenger vehicles," Resource and Energy Economics, Elsevier, vol. 70(C).
    64. Bhardwaj, Chandan & Axsen, Jonn & McCollum, David, 2022. "How to design a zero-emissions vehicle mandate? Simulating impacts on sales, GHG emissions and cost-effectiveness using the AUtomaker-Consumer Model (AUM)," Transport Policy, Elsevier, vol. 117(C), pages 152-168.
    65. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    66. Martin Achtnicht, 2012. "German car buyers’ willingness to pay to reduce CO 2 emissions," Climatic Change, Springer, vol. 113(3), pages 679-697, August.
    67. Hasan-Basri, Bakti & Mohd Mustafa, Muzafarshah & Bakar, Normizan, 2019. "Are Malaysian Consumers Willing to Pay for Hybrid Cars’ Attributes?," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(1), pages 121-134.
    68. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    69. J�r�me Massiani, 2013. "SP surveys for electric and alternative fuel vehicles: are we doing the right thing?," Working Papers 2013_01, Department of Economics, University of Venice "Ca' Foscari".
    70. Heike I. Brugger & Adam Douglas Henry, 2019. "Equity of Incentives: Agent-Based Explorations of How Social Networks Influence the Efficacy of Programs to Promote Solar Adoption," Complexity, Hindawi, vol. 2019, pages 1-15, February.
    71. Sun, Shanxia & Delgado, Michael & Khanna, Neha, "undated". "Hybrid Vehicles and Household Driving Behavior: Implications for Miles Traveled and Gasoline Consumption," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258502, Agricultural and Applied Economics Association.
    72. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    73. Sommer, Stephan & Vance, Colin, 2021. "Do more chargers mean more electric cars?," Ruhr Economic Papers 893, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    74. Achtnicht, Martin, 2009. "German car buyers' willingness to pay to reduce CO₂ emissions," ZEW Discussion Papers 09-058, ZEW - Leibniz Centre for European Economic Research.
    75. Takanori Ida & Kayo Murakami & Makoto Tanaka, 2012. "Keys to Smart Home Diffusion: A Stated Preference Analysis of Smart Meters, Photovoltaic Generation, and Electric/Hybrid Vehicles," Discussion papers e-11-011, Graduate School of Economics Project Center, Kyoto University.
    76. Alexandros Dimitropoulos & Piet Rietveld & Jos N. van Ommeren, 2011. "Consumer Valuation of Driving Range: A Meta-Analysis," Tinbergen Institute Discussion Papers 11-133/3, Tinbergen Institute.
    77. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.
    78. Ecer, Fatih, 2021. "A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    79. Bera, Reema & Maitra, Bhargab, 2021. "Assessing consumer preferences for Plug-in Hybrid Electric Vehicle (PHEV): An Indian perspective," Research in Transportation Economics, Elsevier, vol. 90(C).
    80. Axsen, Jonn & Kurani, Kenneth S., 2009. "Interpersonal Influence within Car Buyers’ Social Networks: Five Perspectives on Plug-in Hybrid Electric Vehicle Demonstration Participants," Institute of Transportation Studies, Working Paper Series qt35w7s3jp, Institute of Transportation Studies, UC Davis.
    81. Yueling Xu & Wenyu Zhang & Haijun Bao & Shuai Zhang & Ying Xiang, 2019. "A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    82. Hammond, William & Axsen, Jonn & Kjeang, Erik, 2020. "How to slash greenhouse gas emissions in the freight sector: Policy insights from a technology-adoption model of Canada," Energy Policy, Elsevier, vol. 137(C).
    83. Lee, Duk Hee & Park, Sang Yong & Kim, Jong Wook & Lee, Seong Kon, 2013. "Analysis on the feedback effect for the diffusion of innovative technologies focusing on the green car," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 498-509.
    84. Andreas Ziegler, 2010. "Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis," CER-ETH Economics working paper series 10/125, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    85. Long, Zoe & Kormos, Christine & Sussman, Reuven & Axsen, Jonn, 2021. "MPG, fuel costs, or savings? Exploring the role of information framing in consumer valuation of fuel economy using a choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 109-127.
    86. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
    87. J�r�me Massiani, 2013. "The use of Stated Preferences to forecast alternative fuel vehicles market diffusion: Comparisons with other methods and proposal for a Synthetic Utility Function," Working Papers 2013:12, Department of Economics, University of Venice "Ca' Foscari".
    88. Wolinetz, Michael & Axsen, Jonn, 2017. "How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 238-250.
    89. Kloess, Maximilian & Müller, Andreas, 2011. "Simulating the impact of policy, energy prices and technological progress on the passenger car fleet in Austria--A model based analysis 2010-2050," Energy Policy, Elsevier, vol. 39(9), pages 5045-5062, September.
    90. Prateek Bansal & Rajeev Ranjan Kumar & Alok Raj & Subodh Dubey & Daniel J. Graham, 2021. "Willingness to Pay and Attitudinal Preferences of Indian Consumers for Electric Vehicles," Papers 2101.08008, arXiv.org, revised May 2021.
    91. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.
    92. Xiaoyao Xie & Yuhong Wang & Xiaozhong Li, 2019. "The Usage Analysis and Policy Choice of CNG Taxis Based on a Multi-stage Dynamic Game Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1379-1390, December.
    93. Chen, Kee-Kuo & Ho, Hui-Ping & Chang, Ching-Ter, 2015. "Estimating attributes importance for container shipping industry by closing the listening gap with maximum convergent validity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 145-163.
    94. Fox, Jacob & Axsen, Jonn & Jaccard, Mark, 2017. "Picking Winners: Modelling the Costs of Technology-specific Climate Policy in the U.S. Passenger Vehicle Sector," Ecological Economics, Elsevier, vol. 137(C), pages 133-147.
    95. Gabriela D. Oliveira & Luis C. Dias, 2020. "The potential learning effect of a MCDA approach on consumer preferences for alternative fuel vehicles," Annals of Operations Research, Springer, vol. 293(2), pages 767-787, October.
    96. Geske, Joachim & Schumann, Diana, 2018. "Willing to participate in vehicle-to-grid (V2G)? Why not!," Energy Policy, Elsevier, vol. 120(C), pages 392-401.
    97. Yan, Jianghui & Tseng, Fang-Mei & Lu, Louis Y.Y., 2018. "Developmental trajectories of new energy vehicle research in economic management: Main path analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 168-181.
    98. Ziegler, Andreas, 2012. "Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1372-1385.
    99. Yan, Shiyu, 2018. "The economic and environmental impacts of tax incentives for battery electric vehicles in Europe," Energy Policy, Elsevier, vol. 123(C), pages 53-63.
    100. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
    101. Wolbertus, Rick & van den Hoed, Robert & Kroesen, Maarten & Chorus, Caspar, 2021. "Charging infrastructure roll-out strategies for large scale introduction of electric vehicles in urban areas: An agent-based simulation study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 262-285.
    102. Richard ILes, 2017. "Government Doctor Absenteeism And Its Effects On Consumer Demand In Rural North India," Working Papers 2018-9, School of Economic Sciences, Washington State University.
    103. Jaccard, Mark & Murphy, Rose & Zuehlke, Brett & Braglewicz, Morgan, 2019. "Cities and greenhouse gas reduction: Policy makers or policy takers?," Energy Policy, Elsevier, vol. 134(C).
    104. Ladenburg, Jacob & Lutzeyer, Sanja, 2012. "The economics of visual disamenity reductions of offshore wind farms—Review and suggestions from an emerging field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6793-6802.
    105. Rhodes, Ekaterina & Hoyle, Aaron & McPherson, Madeleine & Craig, Kira, 2022. "Understanding climate policy projections: A scoping review of energy-economy models in Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).

  8. Cheung, C. Sherman & Kwan, Clarence C.Y. & Mountain, Dean C., 2009. "On the nature of mean-variance spanning," Finance Research Letters, Elsevier, vol. 6(2), pages 106-113, June.

    Cited by:

    1. Wolfgang Bessler & Julian Holler & Philipp Kurmann, 2012. "Hedge funds and optimal asset allocation: Bayesian expectations and spanning tests," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 109-141, March.
    2. Sermin Gungor & Richard Luger, 2013. "Multivariate Tests of Mean-Variance Efficiency and Spanning with a Large Number of Assets and Time-Varying Covariances," Staff Working Papers 13-16, Bank of Canada.
    3. Chen, Hsuan-Chi & Ho, Keng-Yu, 2009. "Do IPO index portfolios improve the investment opportunities for mean-variance investors?," Finance Research Letters, Elsevier, vol. 6(3), pages 159-170, September.
    4. Mihir Dash, 2018. "Modelling the Efficient Frontier: An Empirical Study in the Indian Stock Market," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 7(2), pages 83-94, May.

  9. Frank T. Denton & Dean C. Mountain & Byron G Spencer, 2006. "Errors of aggregation and errors of specification in a consumer demand model: a theoretical note," Canadian Journal of Economics, Canadian Economics Association, vol. 39(4), pages 1398-1407, November.

    Cited by:

    1. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.
    2. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.

  10. Frank Denton & Dean Mountain & Byron Spencer, 2006. "Age, Retirement, and Expenditure Patterns: An Econometric Study of Older Households," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(4), pages 421-434, December.

    Cited by:

    1. Frank T. Denton & Ross Finnie & Byron G. Spencer, 2009. "Income Replacement in Retirement: Longitudinal Evidence from Income Tax Records," Quantitative Studies in Economics and Population Research Reports 436, McMaster University.
    2. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    3. Keating, Norah C. & Fast, Janet E. & Lero, Donna S. & Lucas, Sarah J. & Eales, Jacquie, 2014. "A taxonomy of the economic costs of family care to adults," The Journal of the Economics of Ageing, Elsevier, vol. 3(C), pages 11-20.
    4. David Cantarero-Prieto & Marta Pascual-Sáez & Javier Lera, 2020. "Healthcare Utilization and Healthy Lifestyles among Elderly People Living in Southern Europe: Recent Evidence from the SHARE," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(1), pages 53-66, March.

  11. Frank T. Denton & Dean C. Mountain, 2004. "Aggregation effects on price and expenditure elasticities in a quadratic almost ideal demand system," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 37(3), pages 613-628, August.

    Cited by:

    1. Bente Halvorsen & Bodil M. Larsen, 2013. "How serious is the aggregation problem? An empirical illustration," Applied Economics, Taylor & Francis Journals, vol. 45(26), pages 3786-3794, September.
    2. Frank T. Denton & Dean C. Mountain, 2011. "Aggregation and Other Biases in the Calculation of Consumer Elasticities for Models of Arbitrary Rank," Quantitative Studies in Economics and Population Research Reports 447, McMaster University.
    3. Baek, Ji Won, 2016. "The effects of the Internet and mobile services on urban household expenditures: The case of South Korea," Telecommunications Policy, Elsevier, vol. 40(1), pages 22-38.
    4. Bente Halvorsen & Bodil M. Larsen, 2008. "The Role of Heterogeneous Demand for Temporal and Structural Aggregation Bias," Discussion Papers 537, Statistics Norway, Research Department.
    5. Ingvild Almas, 2012. "International Income Inequality: Measuring PPP Bias by Estimating Engel Curves for Food," American Economic Review, American Economic Association, vol. 102(2), pages 1093-1117, April.
    6. Frank T. Denton & Dean C. Mountain & Byron G Spencer, 2006. "Errors of aggregation and errors of specification in a consumer demand model: a theoretical note," Canadian Journal of Economics, Canadian Economics Association, vol. 39(4), pages 1398-1407, November.
    7. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.
    8. Frank Denton & Dean Mountain, 2014. "The implications of mean scaling for the calculation of aggregate consumer elasticities," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(3), pages 297-314, September.
    9. Bente Halvorsen & Bodil M. Larsen, 2006. "Aggregation with price variation and heterogeneity across consumers," Discussion Papers 489, Statistics Norway, Research Department.
    10. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.
    11. Diakité, Zakary, 2023. "Estimating Demand for Lamb, Beef, Pork, and Poultry in Canada," MPRA Paper 120115, University Library of Munich, Germany.
    12. Frank Denton & Dean Mountain & Byron Spencer, 2006. "Age, Retirement, and Expenditure Patterns: An Econometric Study of Older Households," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(4), pages 421-434, December.
    13. Frank T. Denton & Dean C. Mountain, 2016. "Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation," Empirical Economics, Springer, vol. 50(2), pages 531-560, March.
    14. Bente Halvorsen, 2006. "When can micro properties be used to predict aggregate demand?," Discussion Papers 452, Statistics Norway, Research Department.

  12. Frank Denton & Dean Mountain, 2004. "Aggregation effects on price and expenditure elasticities in a quadratic almost ideal demand system," Canadian Journal of Economics, Canadian Economics Association, vol. 37(3), pages 613-628, August.
    See citations under working paper version above.
  13. Frank T. Denton & Dean C. Mountain & Byron G. Spencer, 2003. "Energy Demand with Declining Rate Schedules: An Econometric Model for the U.S. Commercial Sector," Land Economics, University of Wisconsin Press, vol. 79(1), pages 86-105.

    Cited by:

    1. Liang, Jing & Qiu, Yueming & James, Timothy & Ruddell, Benjamin L. & Dalrymple, Michael & Earl, Stevan & Castelazo, Alex, 2018. "Do energy retrofits work? Evidence from commercial and residential buildings in Phoenix," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 726-743.
    2. Li, Raymond & Woo, Chi-Keung & Tishler, Asher & Zarnikau, Jay, 2022. "Price responsiveness of commercial demand for natural gas in the US," Energy, Elsevier, vol. 256(C).
    3. Heshmati, Almas, 2012. "Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market," IZA Discussion Papers 6637, Institute of Labor Economics (IZA).
    4. Kim, Jee Young & Oh, Hyungna & Choi, Kyung-Mee, 2019. "Why Are Peak Loads Observed during Winter Months in Korea?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 41(1), pages 43-58.
    5. Keighton R. Allen & Thomas M. Fullerton, 2019. "Metropolitan Evidence Regarding Small Commercial and Industrial Electricity Consumption," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 1-11.
    6. Almas Heshmati, 2014. "Demand, Customer Base-Line And Demand Response In The Electricity Market: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 862-888, December.
    7. Contreras, Sergio & Smith, Wm. Doyle & Fullerton, Thomas M., Jr., 2010. "U.S. commercial electricity consumption," MPRA Paper 34855, University Library of Munich, Germany, revised 22 May 2011.
    8. Cao, K.H. & Qi, H.S. & Li, R. & Woo, C.K. & Tishler, A. & Zarnikau, J., 2023. "An experiment in own-price elasticity estimation for non-residential electricity demand in the U.S," Utilities Policy, Elsevier, vol. 81(C).
    9. Yueming Qiu, 2014. "Energy Efficiency and Rebound Effects: An Econometric Analysis of Energy Demand in the Commercial Building Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 295-335, October.

  14. Denton, Frank T. & Mountain, Dean C., 2001. "Income distribution and aggregation/disaggregation biases in the measurement of consumer demand elasticities," Economics Letters, Elsevier, vol. 73(1), pages 21-28, October.

    Cited by:

    1. Bente Halvorsen & Bodil M. Larsen, 2013. "How serious is the aggregation problem? An empirical illustration," Applied Economics, Taylor & Francis Journals, vol. 45(26), pages 3786-3794, September.
    2. Frank T. Denton & Dean C. Mountain, 2011. "Aggregation and Other Biases in the Calculation of Consumer Elasticities for Models of Arbitrary Rank," Quantitative Studies in Economics and Population Research Reports 447, McMaster University.
    3. Craig A. Gallet, 2010. "The income elasticity of meat: a meta-analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 477-490, October.
    4. Bente Halvorsen & Bodil M. Larsen, 2008. "The Role of Heterogeneous Demand for Temporal and Structural Aggregation Bias," Discussion Papers 537, Statistics Norway, Research Department.
    5. Frank T. Denton & Dean C. Mountain, 2004. "Aggregation effects on price and expenditure elasticities in a quadratic almost ideal demand system," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 37(3), pages 613-628, August.
    6. Frank T. Denton & Dean C. Mountain & Byron G Spencer, 2006. "Errors of aggregation and errors of specification in a consumer demand model: a theoretical note," Canadian Journal of Economics, Canadian Economics Association, vol. 39(4), pages 1398-1407, November.
    7. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.
    8. Arman Bidarbakht Nia, 2017. "A generalization to QUAIDS," Empirical Economics, Springer, vol. 52(1), pages 393-410, February.
    9. Frank Denton & Dean Mountain, 2004. "Aggregation effects on price and expenditure elasticities in a quadratic almost ideal demand system," Canadian Journal of Economics, Canadian Economics Association, vol. 37(3), pages 613-628, August.
    10. Frank Denton & Dean Mountain, 2014. "The implications of mean scaling for the calculation of aggregate consumer elasticities," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(3), pages 297-314, September.
    11. Bente Halvorsen & Bodil M. Larsen, 2006. "Aggregation with price variation and heterogeneity across consumers," Discussion Papers 489, Statistics Norway, Research Department.
    12. Frank T. Denton & Dean C. Mountain & Byron G. Spencer, 2002. "Age, Retirement and Expenditure Patterns: An Econometric Study of Older Canadian Households," Social and Economic Dimensions of an Aging Population Research Papers 82, McMaster University.
    13. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.
    14. Frank Denton & Dean Mountain & Byron Spencer, 2006. "Age, Retirement, and Expenditure Patterns: An Econometric Study of Older Households," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(4), pages 421-434, December.
    15. Frank T. Denton & Dean C. Mountain, 2016. "Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation," Empirical Economics, Springer, vol. 50(2), pages 531-560, March.
    16. Bente Halvorsen, 2006. "When can micro properties be used to predict aggregate demand?," Discussion Papers 452, Statistics Norway, Research Department.

  15. Mountain, Dean C. & Thomas, Hugh, 1999. "Factor price misspecification in bank cost function estimation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(2), pages 163-182, April.

    Cited by:

    1. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.
    2. Bos, Jaap W. B. & Heid, Frank & Koetter, Michael & Kolari, James W. & Kool, Clemens J. M., 2005. "Inefficient or just different? Effects of heterogeneity on bank efficiency scores," Discussion Paper Series 2: Banking and Financial Studies 2005,15, Deutsche Bundesbank.
    3. Daglish, Toby & Robertson, Oliver & Tripe, David & Weill, Laurent, 2015. "Translog Cost Function Estimation: Banking Efficiency," Working Paper Series 19256, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    4. Emili Tortosa-Ausina, 2000. "Inefficient banks or inefficient assets," Working Papers 0005, Departament Empresa, Universitat Autònoma de Barcelona, revised Dec 2000.
    5. Paul Schure & Rien Wagenvoort & Dermot O'Brien, 2004. "The efficiency and the conduct of European banks: Developments after 1992," Review of Financial Economics, John Wiley & Sons, vol. 13(4), pages 371-396.
    6. Koetter, Michael, 2006. "The stability of efficiency rankings when risk-preferences and objectives are different," Discussion Paper Series 2: Banking and Financial Studies 2006,08, Deutsche Bundesbank.
    7. Thanh Ngo & Hung V. Vu & Huong Ho & Thuy T. T. Dao & Hai T. H. Nguyen, 2019. "Performance of Fish Farms in Vietnam–Does Financial Access Help Improve Their Cost Efficiency?," IJFS, MDPI, vol. 7(3), pages 1-10, August.
    8. Lijesen Mark G., 2013. "Solving the Endogeneity Problem in Empirical Cost Functions: An Application to US Banks," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 13(2), pages 1051-1070, September.
    9. Kauko, Karlo, 2009. "Managers and efficiency in banking," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 546-556, March.
    10. Hasan, Iftekhar & Marton, Katherin, 2003. "Development and efficiency of the banking sector in a transitional economy: Hungarian experience," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2249-2271, December.
    11. Bos, J.W.B. & Kool, C.J.M., 2006. "Bank efficiency: The role of bank strategy and local market conditions," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1953-1974, July.
    12. Michael Koetter, 2006. "Measurement Matters—Alternative Input Price Proxies for Bank Efficiency Analyses," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(2), pages 199-227, October.
    13. Bos, J.W.B. & Koetter, M. & Kolari, J.W. & Kool, C.J.M., 2009. "Effects of heterogeneity on bank efficiency scores," European Journal of Operational Research, Elsevier, vol. 195(1), pages 251-261, May.
    14. Trigo Gamarra, Lucinda, 2007. "Single- versus multi-channel distribution strategies in the German life insurance market: A cost and profit efficiency analysis," Thuenen-Series of Applied Economic Theory 81, University of Rostock, Institute of Economics.
    15. Chunxia Jiang & Shujie Yao, 2010. "Banking Reform and Efficiency in China: 1995-2008," Discussion Papers 10/11, University of Nottingham, GEP.
    16. Russell Kashian & Richard McGregory & Robert Drago, 2017. "Minority owned banks and efficiency revisited," Journal of Productivity Analysis, Springer, vol. 48(2), pages 97-116, December.
    17. Jiang, Chunxia & Yao, Shujie & Feng, Genfu, 2013. "Bank ownership, privatization, and performance: Evidence from a transition country," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3364-3372.
    18. Elmas Yaldiz & Flavio Bazzana, 2010. "The effect of market power on bank risk taking in Turkey," Financial Theory and Practice, Institute of Public Finance, vol. 34(3), pages 297-314.

  16. Denton, Frank T & Mountain, Dean C & Spencer, Byron G, 1999. "Age, Trend, and Cohort Effects in a Macro Model of Canadian Expenditure Patterns," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 430-443, October.

    Cited by:

    1. Leal, Teresa & Pérez, Javier J. & Tujula, Mika & Vidal, Jean-Pierre, 2007. "Fiscal forecasting: lessons from the literature and challenges," Working Paper Series 843, European Central Bank.
    2. Hiroshi Mori & Toshio Inaba & John Dyck, 2016. "Accounting for structural changes in demand for foods in the presence of age and cohort effects: the case of fresh fish in Japan," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 363-379, December.
    3. Denton, Frank T. & Mountain, Dean C., 2001. "Income distribution and aggregation/disaggregation biases in the measurement of consumer demand elasticities," Economics Letters, Elsevier, vol. 73(1), pages 21-28, October.
    4. David McKenzie, 2002. "Distangling Age, Cohort and Time Effects in the Additive Model," Working Papers 02009, Stanford University, Department of Economics.
    5. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    6. Diotallevi, Francesco, 2010. "L’analisi della domanda degli oli extravergine d’oliva in Italia Un’applicazione del modello A.I.D.S [The analysis of the demand for extra virgin olive oil in Italy An application of the AIDSmodel]," MPRA Paper 41469, University Library of Munich, Germany.
    7. Frank T. Denton & Dean C. Mountain, 2004. "Aggregation effects on price and expenditure elasticities in a quadratic almost ideal demand system," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 37(3), pages 613-628, August.
    8. Chatterjee, Arpita & Singh, Aarti & Stone, Tahlee, 2015. "Understanding Wage Inequality in Australia," Working Papers 2015-06, University of Sydney, School of Economics.
    9. Frank T. Denton & Dean C. Mountain & Byron G Spencer, 2006. "Errors of aggregation and errors of specification in a consumer demand model: a theoretical note," Canadian Journal of Economics, Canadian Economics Association, vol. 39(4), pages 1398-1407, November.
    10. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.
    11. Frank Denton & Dean Mountain, 2004. "Aggregation effects on price and expenditure elasticities in a quadratic almost ideal demand system," Canadian Journal of Economics, Canadian Economics Association, vol. 37(3), pages 613-628, August.
    12. Frank T. Denton & Dean C. Mountain & Byron G. Spencer, 2002. "Age, Retirement and Expenditure Patterns: An Econometric Study of Older Canadian Households," Social and Economic Dimensions of an Aging Population Research Papers 82, McMaster University.
    13. Anders, Sven M., 2010. "Ageing And Consumption – The Impact Of Demographic Change On Food Expenditure Patterns," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116442, European Association of Agricultural Economists.
    14. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.
    15. Kijin Kim & Kurt Kratena & Geoffrey J.D. Hewings, 2015. "The Extended Econometric Input-Output Model With Heterogeneous Household Demand System," Economic Systems Research, Taylor & Francis Journals, vol. 27(2), pages 257-285, June.
    16. Velarde, Melanie & Herrmann, Roland, 2014. "How retirement changes consumption and household production of food: Lessons from German time-use data," The Journal of the Economics of Ageing, Elsevier, vol. 3(C), pages 1-10.

  17. Mountain, Dean C. & Lawson, Evelyn L., 1995. "Some initial evidence of Canadian responsiveness to time-of-use electricity rates: Detailed daily and monthly analysis," Resource and Energy Economics, Elsevier, vol. 17(2), pages 189-212, August.

    Cited by:

    1. Hobman, Elizabeth V. & Frederiks, Elisha R. & Stenner, Karen & Meikle, Sarah, 2016. "Uptake and usage of cost-reflective electricity pricing: Insights from psychology and behavioural economics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 455-467.
    2. Farhad Daruwala & Frank T. Denton & Dean C. Mountain, 2017. "One Size May Not Fit All: Welfare Benefits And Cost Reductions With Differentiated Household Electricity Rates In A General Equilibrium Model," Department of Economics Working Papers 2017-03, McMaster University.
    3. Daruwala, Farhad & Denton, Frank T. & Mountain, Dean C., 2020. "One size may not fit all: Welfare benefits and cost reductions with optional differentiated household electricity rates," Resource and Energy Economics, Elsevier, vol. 61(C).
    4. Boßmann, Tobias & Eser, Eike Johannes, 2016. "Model-based assessment of demand-response measures—A comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1637-1656.
    5. Cosmo, Valeria Di & O’Hora, Denis, 2017. "Nudging electricity consumption using TOU pricing and feedback: evidence from Irish households," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 1-14.
    6. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
    7. Wai Choi & Anindya Sen & Adam White, 2011. "Response of industrial customers to hourly pricing in Ontario’s deregulated electricity market," Journal of Regulatory Economics, Springer, vol. 40(3), pages 303-323, December.
    8. Torgeir Ericson, 2006. "Households' self-selection of a dynamic electricity tariff," Discussion Papers 446, Statistics Norway, Research Department.
    9. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    10. Pierre-Olivier Pineau & Georges Zaccour, 2007. "An Oligopolistic Electricity Market Model with Interdependent Segments," The Energy Journal, , vol. 28(3), pages 165-186, July.
    11. Pineau, Pierre-Olivier & Rasata, Hasina & Zaccour, Georges, 2011. "Impact of some parameters on investments in oligopolistic electricity markets," European Journal of Operational Research, Elsevier, vol. 213(1), pages 180-195, August.
    12. He, Yongxiu & Wang, Bing & Wang, Jianhui & Xiong, Wei & Xia, Tian, 2012. "Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China," Energy, Elsevier, vol. 47(1), pages 230-236.
    13. Pierre-Olivier Pineau & Hasina Rasata & Georges Zaccour, 2011. "A Dynamic Oligopolistic Electricity Market with Interdependent Market Segments," The Energy Journal, , vol. 32(4), pages 183-218, October.
    14. Ericson, Torgeir, 2011. "Households' self-selection of dynamic electricity tariffs," Applied Energy, Elsevier, vol. 88(7), pages 2541-2547, July.
    15. Venizelou, Venizelos & Makrides, George & Efthymiou, Venizelos & Georghiou, George E., 2020. "Methodology for deploying cost-optimum price-based demand side management for residential prosumers," Renewable Energy, Elsevier, vol. 153(C), pages 228-240.

  18. Hsiao, Cheng & Mountain, Dean C & Illman, Kathleen Ho, 1995. "A Bayesian Integration of End-Use Metering and Conditional-Demand Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 315-326, July.
    See citations under working paper version above.
  19. Mountain, Dean C & Lawson, Evelyn L, 1992. "A Disaggregated Nonhomothetic Modeling of Responsiveness to Residential Time-of-Use Electricity Rates," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(1), pages 181-207, February.

    Cited by:

    1. Farhad Daruwala & Frank T. Denton & Dean C. Mountain, 2017. "One Size May Not Fit All: Welfare Benefits And Cost Reductions With Differentiated Household Electricity Rates In A General Equilibrium Model," Department of Economics Working Papers 2017-03, McMaster University.
    2. Daruwala, Farhad & Denton, Frank T. & Mountain, Dean C., 2020. "One size may not fit all: Welfare benefits and cost reductions with optional differentiated household electricity rates," Resource and Energy Economics, Elsevier, vol. 61(C).
    3. Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino, 2018. "Energy demand elasticities and weather worldwide," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 207-237, April.
    4. Miller, Reid & Golab, Lukasz & Rosenberg, Catherine, 2017. "Modelling weather effects for impact analysis of residential time-of-use electricity pricing," Energy Policy, Elsevier, vol. 105(C), pages 534-546.
    5. Massimo Filippini, 2010. "Short and long-run time-of-use price elasticities in Swiss residential electricity demand," CEPE Working paper series 10-76, CEPE Center for Energy Policy and Economics, ETH Zurich.
    6. Filippini, Massimo, 1995. "Electricity demand by time of use An application of the household AIDS model," Energy Economics, Elsevier, vol. 17(3), pages 197-204, July.
    7. Wai Choi & Anindya Sen & Adam White, 2011. "Response of industrial customers to hourly pricing in Ontario’s deregulated electricity market," Journal of Regulatory Economics, Springer, vol. 40(3), pages 303-323, December.
    8. Massimo Filippini, 1995. "Swiss Residential Demand for Electricity by Time-of-Use: An Application of the Almost Ideal Demand System," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 27-40.
    9. Simona Bigerna and Carlo Andrea Bollino, 2015. "A System Of Hourly Demand in the Italian Electricity Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    10. Guo, Bowei & Weeks, Melvyn, 2022. "Dynamic tariffs, demand response, and regulation in retail electricity markets," Energy Economics, Elsevier, vol. 106(C).
    11. Hortay, Olivér & Szőke, Tamás, 2019. "Keresleti árrugalmasság becslése a magyar villamosenergia-piacon [Estimating demand-price elasticity on the Hungarian electric energy market]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 788-804.
    12. Amin Karimu & Chandra Kiran B. Krishnamurthy & Mattias Vesterberg, 2022. "Understanding Hourly Electricity Demand: Implications for Load, Welfare and Emissions," The Energy Journal, , vol. 43(1), pages 161-190, January.
    13. Isamu Matsukawa & Hiroshi Asano & Hitoshi Kakimoto, 2000. "Household Response to Incentive Payments for Load Shifting: A Japanese Time-of-Day Electricity Pricing Experiment," The Energy Journal, , vol. 21(1), pages 73-86, January.
    14. Simona Bigerna & Carlo Andrea Bollino, 2015. "A System of Hourly Demand in the Italian Electricity Market," The Energy Journal, , vol. 36(4), pages 129-148, October.
    15. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    16. Brännlund, Runar & Vesterberg, Mattias, 2021. "Peak and off-peak demand for electricity: Is there a potential for load shifting?," Energy Economics, Elsevier, vol. 102(C).

  20. Hsiao, Cheng & Mountain, Dean C. & Chan, M. W. Luke & Tsui, Kai Y., 1989. "Modeling Ontario regional electricity system demand using a mixed fixed and random coefficients approach," Regional Science and Urban Economics, Elsevier, vol. 19(4), pages 565-587, December.
    See citations under working paper version above.
  21. Mountain, Dean C., 1989. "A quadratic quasi Cobb-Douglas extension of the multi-input CES formulation," European Economic Review, Elsevier, vol. 33(1), pages 143-158, January.

    Cited by:

    1. Banda, Benjamin M. & Hassan, Rashid M., 2011. "Inter-fuel substitution and dynamic adjustment in input demand: Implications for deforestation and carbon emission in Malawi," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(01), pages 1-16, March.

  22. Dean C. Mountain & Bill P. Stipdonk & Cathy J. Warren, 1989. "Technological Innovation and a Changing Energy Mix - A Parametric and Flexible Approach to Modeling Ontario Manufacturing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 139-158.

    Cited by:

    1. Stavins, Robert & Jaffe, Adam & Newell, Richard, 2000. "Technological Change and the Environment," RFF Working Paper Series dp-00-47, Resources for the Future.
    2. Popp, David C., 2001. "The effect of new technology on energy consumption," Resource and Energy Economics, Elsevier, vol. 23(3), pages 215-239, July.
    3. Popp, David & Newell, Richard G. & Jaffe, Adam B., 2010. "Energy, the Environment, and Technological Change," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 873-937, Elsevier.
    4. 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.
    5. Popp, David, 2005. "Lessons from patents: Using patents to measure technological change in environmental models," Ecological Economics, Elsevier, vol. 54(2-3), pages 209-226, August.
    6. Bacon, Robert, 1992. "Measuring the possibilities of interfuel substitution," Policy Research Working Paper Series 1031, The World Bank.
    7. Okay, Nesrin & Konukman, Alp Er S. & Akman, Ugur, 2009. "Analysis of Innovation and Energy Profiles in the Turkish Manufacturing Sector," MPRA Paper 16344, University Library of Munich, Germany.
    8. Okay, Nesrin & Akman, Ugur, 2009. "Analysis of ESCO Activities Using Country Indicators," MPRA Paper 17012, University Library of Munich, Germany.
    9. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2003. "Chapter 11 Technological change and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 11, pages 461-516, Elsevier.
    10. Wang, Yizhong & Jeong, Sujong & Hang, Ye & Wang, Qunwei, 2024. "Multi-sector environmental efficiency and productivity: A general Leontief optimization method," Omega, Elsevier, vol. 126(C).
    11. Gardner, Douglas T. & Elkhafif, Mahmoud A. T., 1998. "Understanding industrial energy use: structural and energy intensity changes in Ontario industry," Energy Economics, Elsevier, vol. 20(1), pages 29-41, February.
    12. David Popp, 2003. "Lessons from Patents: Using Patents To Measure Technological Change in Environmental Models," NBER Working Papers 9978, National Bureau of Economic Research, Inc.

  23. Mountain, Dean C, 1988. "The Rotterdam Model: An Approximation in Variable Space," Econometrica, Econometric Society, vol. 56(2), pages 477-484, March.

    Cited by:

    1. Goodwin, Barry K., 2024. "A 'Differential' Differential Demand System: An Application to US Meat Demand," 2024 Annual Meeting, July 28-30, New Orleans, LA 343712, Agricultural and Applied Economics Association.
    2. Capps, Oral, Jr. & Tsai, Reyfong & Kirby, Raymond & Williams, Gary W., 1994. "A Comparison Of Demands For Meat Products In The Pacific Rim Region," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), pages 1-15, July.
    3. Dave Weatherspoon & James Oehmke & Assa Dembélé & Marcus Coleman & Thasanee Satimanon & Lorraine Weatherspoon, 2013. "Price and Expenditure Elasticities for Fresh Fruits in an Urban Food Desert," Urban Studies, Urban Studies Journal Limited, vol. 50(1), pages 88-106, January.
    4. Holt, Matthew T., 2002. "Inverse demand systems and choice of functional form," European Economic Review, Elsevier, vol. 46(1), pages 117-142, January.
    5. Xiao, Hui & Kinnucan, Henry W. & Kaiser, Harry M., 1998. "Advertising, Structural Change, And U.S. Non-Alcoholic Beverage Demand," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20885, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Panos Fousekis & Brian J. Revell, 2002. "Primary Demand for Red Meats in the United Kingdom," Post-Print hal-01201002, HAL.
    7. Xiao, Hui & Kinnucan, Henry W. & Kaiser, Harry M., 1998. "Advertising, Structural Change, and U.S. Non-Alcoholic Drink Demand," Research Bulletins 122688, Cornell University, Department of Applied Economics and Management.
    8. Fousekis, Panos & Revell, Brian J., 2000. "Meat Demand In The Uk: A Differential Approach," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(01), pages 1-9, April.
    9. Giancarlo Moschini & Vissa Anuradha, 1993. "Flexible Specification of Mixed Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 1-9.
    10. Toshinobu Matsuda, 2005. "Differential Demand Systems: A Further Look at Barten's Synthesis," Southern Economic Journal, John Wiley & Sons, vol. 71(3), pages 607-619, January.
    11. Brown, Mark G. & Lee, Jonq-Ying, 1992. "A Dynamic Differential Demand System: An Application Of Translation," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(2), pages 1-10, December.
    12. Kenneth W Clements & Grace Gao, 2014. "The Rotterdam Demand Model Half a Century On," Economics Discussion / Working Papers 14-34, The University of Western Australia, Department of Economics.
    13. K.W. Clements & E.A. Selvanathan & S. Selvanathan, 1989. "Henri Theil's Contributions to Demand Analysis," Economics Discussion / Working Papers 89-13, The University of Western Australia, Department of Economics.
    14. Capps, Oral, Jr., 1993. "Uses Of Supermarket Scan Data In Demand Analysis," Emerging Data Issues in Food Demand Analysis, Proceedings of the S216 Workshop, October 1993 11854, Regional Research Project S-278 Food Demand, Nutrition and Consumer Behavior.
    15. Kesavan, Thulasiram, 1988. "Monte Carlo experiments of market demand theory," ISU General Staff Papers 198801010800009854, Iowa State University, Department of Economics.
    16. Panos Fousekis & Christos Pantzios, 1999. "A Family of Differential Input Demand Systems with Application to Greek Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 549-563, September.
    17. W. Yang & K.W. Clements & D. Chen, 2000. "A User's Guide to DAP 2000," Economics Discussion / Working Papers 00-02, The University of Western Australia, Department of Economics.
    18. Ana Maria Angulo & Jose Maria Gil & Boubaker Dhehibi & Jesus Mur, 2002. "Town size and the consumer behaviour of Spanish households: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 34(4), pages 503-507.
    19. Brown, Mark G., 2008. "Impact of Income on Price and Income Responses in the Differential Demand System," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-16, August.
    20. Piggott, Nicholas E. & Marsh, Thomas L., 2001. "Impacts of Food Safety on U.S. Meat Demand," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125781, Australian Agricultural and Resource Economics Society.
    21. Shashika D. Rathnayaka & Saroja Selvanathan & E. A. Selvanathan, 2021. "Demand for animal‐derived food in selected Asian countries: A system‐wide analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 97-122, January.
    22. Frank T. Denton & Dean C. Mountain & Byron G Spencer, 2006. "Errors of aggregation and errors of specification in a consumer demand model: a theoretical note," Canadian Journal of Economics, Canadian Economics Association, vol. 39(4), pages 1398-1407, November.
    23. Brown, Mark G., 2006. "Impact of Income on Price and Income Responses in the Differential Demand System," Research papers 36836, Florida Department of Citrus.
    24. Acharya, Ram N. & Schmitz, Troy G., 2004. "A System-Wide Approach For Analyzing The Effect Of Exchange Rates On Fresh Apple Import Demand," 2004 Annual meeting, August 1-4, Denver, CO 20219, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    25. Kenneth W. Clements & Ye Qiang, 2001. "The Economics of Global Consumption Patterns," Economics Discussion / Working Papers 01-18, The University of Western Australia, Department of Economics.
    26. Brown, Mark G., "undated". "Preference Variable Impacts in Direct and Inverse Differential Demand Systems," Research papers 104331, Florida Department of Citrus.
    27. Long Hai Vo & Thai‐Ha Le, 2022. "COVID‐19 test‐kit trade and trade policy: Implications for developing countries," The World Economy, Wiley Blackwell, vol. 45(10), pages 3246-3268, October.
    28. Pittman, Grant & Love, H. Alan, 2004. "Does Private Label Ownership And Pricing Structure Matter?," 2004 Annual meeting, August 1-4, Denver, CO 20193, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    29. Angulo, Ana María & Gil, José María & Mur, Jesús & Dhehibi, Boubaker, 2000. "The Effect Of Households Location On The Spanish Demand For Food: A Panel Data Approach," ERSA conference papers ersa00p124, European Regional Science Association.
    30. Dave Weatherspoon & James Oehmke & Assa Dembele & Lorraine Weatherspoon, 2015. "Fresh vegetable demand behaviour in an urban food desert," Urban Studies, Urban Studies Journal Limited, vol. 52(5), pages 960-979, April.
    31. Brown, Mark G. & Lee, Jonq-Ying, 2000. "A Uniform Substitute Demand Model With Varying Coefficients," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(01), pages 1-10, April.
    32. Seale, James L., Jr. & Sparks, Amy L. & Buxton, Boyd M., 1992. "A Rotterdam Application To International Trade In Fresh Apples: A Differential Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(01), pages 1-12, July.
    33. Mountain, Dean C. & Lawson, Evelyn L., 1995. "Some initial evidence of Canadian responsiveness to time-of-use electricity rates: Detailed daily and monthly analysis," Resource and Energy Economics, Elsevier, vol. 17(2), pages 189-212, August.
    34. Kenneth W Clements & Yihui Lan & Haiyan Liu & Long Vo, 2022. "The Icp, Ppp And Household Expenditure Patterns," Economics Discussion / Working Papers 22-18, The University of Western Australia, Department of Economics.
    35. Ligon, Ethan, 2020. "Estimating Household Welfare from Disaggregate Expenditures," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt3ts0g5tn, Department of Agricultural & Resource Economics, UC Berkeley.
    36. Brown, Mark G. & Behr, Robert M. & Lee, Jonq-Ying, 1994. "Conditional Demand And Endogeneity? A Case Study Of Demand For Juice Products," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), pages 1-12, July.

  24. Chan, M W Luke & Mountain, Dean C, 1988. "The Interactive and Causal Relationships Involving Precious Metal," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(1), pages 69-77, January.

    Cited by:

    1. M. W. Luke Chan & Dan Sabrina Gong & Terry A. Yip, 2020. "Return on violin and macroeconomic fluctuation," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(2), pages 339-346, June.
    2. Namwoon Kim & Jin K. Han & Rajendra K. Srivastava, 2002. "A Dynamic IT Adoption Model for the SOHO Market: PC Generational Decisions with Technological Expectations," Management Science, INFORMS, vol. 48(2), pages 222-240, February.
    3. Lau, Marco Chi Keung & Vigne, Samuel A. & Wang, Shixuan & Yarovaya, Larisa, 2017. "Return spillovers between white precious metal ETFs: The role of oil, gold, and global equity," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 316-332.
    4. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    5. Mensi, Walid & Nekhili, Ramzi & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Quantile dependencies between precious and industrial metals futures and portfolio management," Resources Policy, Elsevier, vol. 73(C).
    6. Baum, Christopher F. & Hurn, Stan & Otero, Jesús, 2025. "The dynamics of U.S. industrial production: A time-varying Granger causality perspective," Econometrics and Statistics, Elsevier, vol. 33(C), pages 13-22.
    7. Semeyutin, Artur & Downing, Gareth, 2022. "Co-jumps in the U.S. interest rates and precious metals markets and their implications for investors," International Review of Financial Analysis, Elsevier, vol. 81(C).
    8. Escribano, Álvaro & Granger, C.W.J. (Clive William John), 1995. "Investigating the relationship between gold and silver prices," DES - Working Papers. Statistics and Econometrics. WS 4517, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. A. Khalifa & S. Hammoudeh & E. Otranto & S. Ramchander, 2012. "Volatility Transmission across Currency, Commodity and Equity Markets under Multi-Chain Regime Switching: Implications for Hedging and Portfolio Allocation," Working Paper CRENoS 201214, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    10. O'Connor, Fergal A. & Lucey, Brian M. & Batten, Jonathan A. & Baur, Dirk G., 2015. "The financial economics of gold — A survey," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 186-205.
    11. Khalifa, Ahmed A.A. & Otranto, Edoardo & Hammoudeh, Shawkat & Ramchander, Sanjay, 2016. "Volatility transmission across currencies and commodities with US uncertainty measures," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 63-83.
    12. Shammugam, Shivenes & Rathgeber, Andreas & Schlegl, Thomas, 2019. "Causality between metal prices: Is joint consumption a more important determinant than joint production of main and by-product metals?," Resources Policy, Elsevier, vol. 61(C), pages 49-66.
    13. Davidson, Sinclair & Faff, Robert & Hillier, David, 2003. "Gold factor exposures in international asset pricing," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(3), pages 271-289, July.

  25. Hsio, Cheng & Chan, M. W. Luke & Mountain, Dean C. & Tsui, Kai Y., 1987. "An integrated monthly and hourly regional electricity model for Ontario, Canada," Resources and Energy, Elsevier, vol. 9(3), pages 275-299, October.

    Cited by:

    1. Reddy, T.A., 1990. "Statistical analyses of electricity use during the hottest and coolest days of summer for groups of residences with and without air-conditioning," Energy, Elsevier, vol. 15(1), pages 45-61.
    2. Martin-Rodriguez, Gloria & Caceres-Hernandez, Jose Juan, 2005. "Modelling the hourly Spanish electricity demand," Economic Modelling, Elsevier, vol. 22(3), pages 551-569, May.

  26. Denton, Frank T. & Jefferies, Kevan L. & Mountain, Dean C. & Robb, A. Leslie & Spencer, Byron G., 1987. "The response of an industrial firm to alternative electricity rate structures : An optimization model for simulation applications," Resources and Energy, Elsevier, vol. 9(4), pages 327-346, December.

    Cited by:

    1. Konstantin Biel & Christoph H. Glock, 2017. "Prerequisites of efficient decentralized waste heat recovery and energy storage in production planning," Journal of Business Economics, Springer, vol. 87(1), pages 41-72, January.

  27. Chan, M W Luke & Mountain, Dean C, 1986. "Measuring Returns to Scale and Technological Change in Co-operative Banks: A Provincial Analysis of Canadian Credit Unions and Caisses Populaires," Empirical Economics, Springer, vol. 11(4), pages 207-222.

    Cited by:

    1. Andreas Andrikopoulos & John Loizides, 1998. "Cost structure and productivity growth in European railway systems," Applied Economics, Taylor & Francis Journals, vol. 30(12), pages 1625-1639.

  28. Dean C. Mountain & Cheng Hsiao, 1986. "Peak and Off-Peak Industrial Demand for Electricity: The Hopkinson Rate in Ontario, Canada," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 149-168.

    Cited by:

    1. Oshiro, Asahi & Tarui, Nori, 2023. "Effects of alternative pricing structures on electricity consumption and payments in the commercial and industrial sector," Japan and the World Economy, Elsevier, vol. 68(C).
    2. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.

  29. Mountain, Dean C, 1986. "Economies of Scale versus Technological Change: An Aggregate Production Function for Switzerland," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 707-711, November.

    Cited by:

    1. Feser, Edward J., 2001. "A flexible test for agglomeration economies in two US manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 31(1), pages 1-19, February.
    2. Truett, Lila J. & Truett, Dale B., 2007. "A cost-based analysis of scale economies in the French auto industry," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 369-382.
    3. Lila Truett & Dale Truett, 2006. "Production and costs in the South African motor vehicle industry," Applied Economics, Taylor & Francis Journals, vol. 38(20), pages 2381-2392.
    4. Lücke, Matthias, 1992. "Technischer Fortschritt und die Arbeitsteilung zwischen Industrie- und Entwicklungsländern: eine empirische Analyse," Open Access Publications from Kiel Institute for the World Economy 758, Kiel Institute for the World Economy (IfW Kiel).
    5. Hisnanick, John J. & Kymn, Kern O., 1999. "Modeling economies of scale: the case of US electric power companies," Energy Economics, Elsevier, vol. 21(3), pages 225-237, June.
    6. Lila J. Truett & Dale B. Truett, 2003. "The Italian Automotive Industry and Economies of Scale," Contemporary Economic Policy, Western Economic Association International, vol. 21(3), pages 329-337, July.
    7. Truett, Lila J. & Truett, Dale B., 2014. "The South Korean auto industry's path to maturity," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 86-94.
    8. Daniel Graham, 2001. "Productivity growth in British manufacturing: spatial variation in the role of scale economies, technological growth and industrial structure," Applied Economics, Taylor & Francis Journals, vol. 33(6), pages 811-821.
    9. Perekhozhuk, Oleksandr, 2007. "Marktstruktur und Preisbildung auf dem ukrainischen Markt für Rohmilch [Market structure and pricing on the Ukrainian market for raw milk]," MPRA Paper 21958, University Library of Munich, Germany.
    10. Daniel Graham & H. Kim, 2008. "An empirical analytical framework for agglomeration economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 267-289, June.
    11. Edward Feser, 2004. "A Flexible Test for Agglomeration Economies in Two U.S. Manufacturing Industries," Working Papers 04-14, Center for Economic Studies, U.S. Census Bureau.
    12. Harabi, Najib, 1994. "Technischer Fortschritt in der Schweiz: Empirische Ergebnisse aus industrieökonomischer Sicht [Technischer Fortschritt in der Schweiz:Empirische Ergebnisse aus industrieökonomischer Sicht]," MPRA Paper 6725, University Library of Munich, Germany.

  30. Mountain, Dean C., 1986. "Impact of higher energy prices on wage rates, return to capital, energy intensity and productivity : A regional profit specification," Energy Economics, Elsevier, vol. 8(3), pages 171-176, July.

    Cited by:

    1. Mehmet Sait S ylemez, 2012. "Effect of the Energy Price Rate on Insulation Applications," International Journal of Energy Economics and Policy, Econjournals, vol. 2(3), pages 103-107.
    2. Kim, Hyeongwoo & Thompson, Henry, 2014. "Wages in a factor proportions model with energy input," Economic Modelling, Elsevier, vol. 36(C), pages 495-501.

  31. M. W. Luke Chan & Dean C. Mountain, 1983. "A Regional Analysis of Productivity Change in Canadian Agriculture, with Special Reference to Energy Prices," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 31(3), pages 319-330, November.

    Cited by:

    1. Ricardo de Avillez, 2011. "A Detailed Analysis of the Productivity Performance of the Canadian Primary Agriculture Sector," CSLS Research Reports 2011-06, Centre for the Study of Living Standards.

  32. Chan, M W Luke & Mountain, Dean C, 1983. "Economies of Scale and the Tornqvist Discrete Measure of Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 663-667, November.

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    1. Georg Erber, 1995. "Public Infrastructure, Productivity and Competitiveness: Analysis of Relative Differences and Impacts with Regard to U.S. and German Industries," Discussion Papers of DIW Berlin 115, DIW Berlin, German Institute for Economic Research.
    2. W. Erwin Diewert & Takanobu Nakajima & Alice Nakamura & Emi Nakamura & Masao Nakamura, 2011. "Returns to scale: concept, estimation and analysis of Japan's turbulent 1964-88 economy," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 451-485, May.
    3. Feser, Edward J., 2001. "A flexible test for agglomeration economies in two US manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 31(1), pages 1-19, February.
    4. Suminori TOKUNAGA & Masahiro KAGEYAMA & Yuko AKUNE & Ryohei NAKAMURA, 2012. "Empirical Analysis of Agglomeration Economies in Japanese Assembly-type Manufacturing Industry for 1985-2000: Using a flexible translog production function," Discussion papers 12082, Research Institute of Economy, Trade and Industry (RIETI).
    5. Cooke, Stephen C., 1991. "Cost Efficiency In U.S. Corn, Soybean, Wheat, and Cotton Production," A.E. Research Series 140529, University of Idaho, Department of Agricultural Economics and Rural Sociology.
    6. Karagiannis, Giannis & Kellermann, Magnus & Salhofer, Klaus, 2019. "Sources of Labor Productivity Growth in the German Brewing Industry," Discussion Papers DP-72-2019, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    7. Giannis Karagiannis & Vangelis Tzouvelekas, 2004. "Real Money Balances and TFP Growth: Evidence from Developed and Developing Countries," Working Papers 0410, University of Crete, Department of Economics.
    8. Hisnanick, John J. & Kymn, Kern O., 1999. "Modeling economies of scale: the case of US electric power companies," Energy Economics, Elsevier, vol. 21(3), pages 225-237, June.
    9. Karagiannis, Giannis & Tzouvelekas, Vangelis, 2001. "Self-Dual Stochastic Production Frontiers and Decomposition of Output Growth: The Case of Olive-Growing Farms in Greece," Agricultural and Resource Economics Review, Cambridge University Press, vol. 30(2), pages 168-178, October.
    10. Aiello, Francesco & Cardamone, Paola, 2012. "Regional economic divide and the role of technological spillovers in Italy. Evidence from microdata," Structural Change and Economic Dynamics, Elsevier, vol. 23(3), pages 205-220.
    11. Cooke, Stephen C. & Sundquist, W. Burt, 1987. "Cost Structures, Productivities and the Distribution of Technology Benefits Among Producers for Major U.S. Field Crops," Evaluating Agricultural Research and Productivity, Proceedings of a Workshop, Atlanta, Georgia, January 29-30, 1987, Miscellaneous Publication 52 50020, University of Minnesota, Agricultural Experiment Station.
    12. Chia-Lin CHANG & Stéphane ROBIN, 2006. "Knowledge sourcing and firm performance in an industrializing economy: the case of Taiwan in the 1990s," Working Papers of BETA 2006-33, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    13. Emi Nakamura & Masao Nakamura (presenter) & Takanobu Nakajima, 2004. "Measuring Firms’ R&D Effects on Technical Progress: Japan in the 199," Econometric Society 2004 Far Eastern Meetings 414, Econometric Society.
    14. Salem, M., 1987. "Productivity and Technical Change in Canadian Food and Beverage Industries: 1961-1982," Working Papers 243864, Agriculture and Agri-Food Canada.
    15. Franz Sinabell & Klaus Salhofer & Giannis Karagiannis, 2006. "Das Programm der ländlichen Entwicklung 2000-2006. Ausgewählte ökonomische Konsequenzen," WIFO Studies, WIFO, number 27158, October.
    16. Paola Cardamone, 2012. "A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification," Journal of Productivity Analysis, Springer, vol. 37(1), pages 41-58, February.
    17. Lall, Somik V. & Shalizi, Zmarak & Deichmann, Uwe, 2004. "Agglomeration economies and productivity in Indian industry," Journal of Development Economics, Elsevier, vol. 73(2), pages 643-673, April.
    18. Bureau, Jean-Christophe & Butault, Jean-Pierre & Rousselle, Jean-Marc, 1989. "Les indices de productivite. Aspects methodologiques et application a l'agriculture," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 192.
    19. Chang, Chia-Lin & Robin, Stéphane, 2008. "Public policy, innovation and total factor productivity: An application to Taiwan's manufacturing industry," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 352-367.
    20. Daniel Graham, 2001. "Productivity growth in British manufacturing: spatial variation in the role of scale economies, technological growth and industrial structure," Applied Economics, Taylor & Francis Journals, vol. 33(6), pages 811-821.
    21. Konstantinos Chatzimichael & Dimitris Christopoulos & Spiro Stefanou & Vangelis Tzouvelekas, 2020. "Irrigation practices, water effectiveness and productivity measurement [Toward an understanding of technology adoption: risk, learning, and neighborhood effects]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 467-498.
    22. J.C. Bureau & J.P. Butault & J.M. Rousselle, 1989. "Les indices de productivite. Aspects methodologiques et application a l'agriculture," Post-Print hal-01072659, HAL.
    23. Georg Erber, 1994. "Technical Change, Economies of Scale, and Factor Augmentation: Impacts on Relative Differences in Productivity and Price Competitiveness between U.S. and German Industries," Discussion Papers of DIW Berlin 93, DIW Berlin, German Institute for Economic Research.
    24. Cooke, Stephen C. & Sundquist, W. Burt, 1991. "Measuring And Explaining The Decline In U.S. Cotton Productivity Growth," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(01), pages 1-16, July.
    25. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2017. "Health-Damaging Inputs, Workers Health Status and Productivity Measurement," Working Papers 1701, University of Crete, Department of Economics.
    26. Chang, Chia-Lin & Oxley, Les, 2009. "Industrial agglomeration, geographic innovation and total factor productivity: The case of Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2787-2796.
    27. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    28. Daniel Graham & H. Kim, 2008. "An empirical analytical framework for agglomeration economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 267-289, June.
    29. Edward Feser, 2004. "A Flexible Test for Agglomeration Economies in Two U.S. Manufacturing Industries," Working Papers 04-14, Center for Economic Studies, U.S. Census Bureau.
    30. Yan Zeng, 2020. "Exploring Factors Affecting the Development of Export-Oriented Garment Industry: Facing the Global Competitiveness Challenges," International Business Research, Canadian Center of Science and Education, vol. 13(6), pages 1-20, June.

  33. Mountain, Dean, 1982. "The interdependence of electricity export markets an econometric examination of Quebec in a monopolistic setting," Resources and Energy, Elsevier, vol. 4(4), pages 329-349, December.

    Cited by:

    1. Appelbaum, Elie, 1979. "Testing price taking behavior," Journal of Econometrics, Elsevier, vol. 9(3), pages 283-294, February.

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