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Dean Clarence Mountain

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. 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. 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.
    2. 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/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1398-1407, November.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Bente Halvorsen & Bodil M. Larsen, 2006. "Aggregation with price variation and heterogeneity across consumers," Discussion Papers 489, Statistics Norway, Research Department.
    9. Diakité, Zakary, 2023. "Estimating Demand for Lamb, Beef, Pork, and Poultry in Canada," MPRA Paper 120115, University Library of Munich, Germany.
    10. Tite Ehuitché Beke, 2017. "Analysis of Substitute Products in the Demand for Food Products in Côte d'Ivoire," Working Papers 330, African Economic Research Consortium, Research Department.
    11. 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.
    12. 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.
    13. Bente Halvorsen & Bodil M. Larsen, 2008. "The Role of Heterogeneous Demand for Temporal and Structural Aggregation Bias," Discussion Papers 537, Statistics Norway, Research Department.
    14. 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).
    15. 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.
    16. Bente Halvorsen, 2006. "When can micro properties be used to predict aggregate demand?," Discussion Papers 452, Statistics Norway, Research Department.

  2. 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.

    Cited by:

    1. 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.
    2. Mette Christensen, 2008. "Demand patterns around retirement: Evidence from Spanish panel data," Economics Discussion Paper Series 0809, Economics, The University of Manchester.
    3. Laura Romeu Gordo & Andreas Motel-Klingebiel & Susanne Wurm, 2009. "SOEP as a Source for Research on Ageing: Issues, Measures and Possibilities for Improvement," SOEPpapers on Multidisciplinary Panel Data Research 173, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Paula C. Albuquerque & João C. Lopes, 2010. "Economic impacts of ageing: an inter‐industry approach," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 37(12), pages 970-986, October.
    5. 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.
    6. José M. Labeaga & Rubén Osuna, 2007. "Expenditures at retirement by Spanish households," Working Papers 2007-36, FEDEA.
    7. 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.
    8. 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. 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.

  4. 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. Benos, Nikos, 2009. "Fiscal policy and economic growth: empirical evidence from EU countries," MPRA Paper 19174, University Library of Munich, Germany.
    2. 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.
    3. Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Statistics Norway, Research Department.
    4. 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.
    5. 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.
    6. Hannah Goozee, 2017. "Energy, poverty and development: a primer for the Sustainable Development Goals," Working Papers 156, International Policy Centre for Inclusive Growth.
    7. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    8. 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.
    9. 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.
    10. 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).
    11. 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).
    12. 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.
    13. 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.
    14. N.M. Odhiambo, 2021. "Is Export-Led Growth Hypothesis Still Valid for Sub-Saharan African Countries? New Evidence from Panel Data Analysis," Working Papers AESRI-2021-02, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    15. 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.
    16. Hannah Goozee, 2017. "Energy, Poverty and Development: A Primer for the Sustainable Development Goals," Working Papers id:11933, eSocialSciences.
    17. 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.
    18. 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).
    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. T.G. Saji, 2018. "Financial Distress and Stock Market Failures: Lessons from Indian Realty Sector," Vision, , vol. 22(1), pages 50-60, March.
    22. 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).
    23. 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.
    24. 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.
    25. 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.
    26. 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).
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Statistics Norway, Research Department.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.

  5. 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. Philip Arestis & Ana Rosa González & Oscar Dejuan, 2012. "Investment, Financial Markets, and Uncertainty," Economics Working Paper Archive wp_743, Levy Economics Institute.
    2. 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.

  6. 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. Cheng Hsiao, 2013. "Panel Data Analysis - Advantages and Challenges," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    3. 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.
    4. 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.
    5. 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.
    6. A.R. Kemal & Abdul Qayyum & Muhammad Nadim Hanif, 2007. "Financial Development and Economic Growth: Evidence from a Heterogeneous Panel of High Income Countries," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 12(1), pages 1-34, Jan-Jun.
    7. Cheng Hsiao & M. Hashem Pesaran, 2004. "Random Coefficient Panel Data Models," IEPR Working Papers 04.2, Institute of Economic Policy Research (IEPR).
    8. N.M. Odhiambo, 2021. "Is Export-Led Growth Hypothesis Still Valid for Sub-Saharan African Countries? New Evidence from Panel Data Analysis," Working Papers AESRI-2021-02, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    9. 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.
    10. 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.
    11. Abdur R. Chowdhury, 2010. "External Debt and Growth in Developing Countries: A Sensitivity and Causal Analysis," Working Papers id:3151, eSocialSciences.
    12. 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.
    13. Hayat, Arshad, 2016. "Foreign Direct Investment, Institutional Framework and Economic Growth," MPRA Paper 74563, University Library of Munich, Germany.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. Töngür, Ünal & Elveren, Adem Yavuz, 2014. "Deunionization and pay inequality in OECD Countries: A panel Granger causality approach," Economic Modelling, Elsevier, vol. 38(C), pages 417-425.
    19. Michael Feil, 2012. "Taxation and unemployment: (systematic) evidence from panel data analysis," EcoMod2012 4472, EcoMod.
    20. 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.
    21. 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.
    22. 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.
    23. Atakhanova, Zauresh & Howie, Peter, 2007. "Electricity demand in Kazakhstan," Energy Policy, Elsevier, vol. 35(7), pages 3729-3743, July.
    24. Judith A. Clarke & Nilanjana Roy & Weichun Chen, 2012. "Health and Wealth: Short Panel Granger Causality Tests for Developing Countries," Econometrics Working Papers 1204, Department of Economics, University of Victoria.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Diana Weinhold, 2004. "A Dynamic “Fixed Effects” Model for Heterogeneous Panel Data," Econometrics 0410003, University Library of Munich, Germany.
    31. 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.

  7. 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. Bacon, Robert, 1992. "Measuring the possibilities of interfuel substitution," Policy Research Working Paper Series 1031, The World Bank.
    2. 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.
    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(1), pages 1-16, March.

Articles

  1. 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. 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.
    2. 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 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.
  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.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1398-1407, November.
    6. 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.
    7. 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.
    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. 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.
    10. 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.
    11. Arman Bidarbakht Nia, 2017. "A generalization to QUAIDS," Empirical Economics, Springer, vol. 52(1), pages 393-410, February.
    12. Bente Halvorsen & Bodil M. Larsen, 2006. "Aggregation with price variation and heterogeneity across consumers," Discussion Papers 489, Statistics Norway, Research Department.
    13. 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.
    14. Bente Halvorsen & Bodil M. Larsen, 2008. "The Role of Heterogeneous Demand for Temporal and Structural Aggregation Bias," Discussion Papers 537, Statistics Norway, Research Department.
    15. 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.
    16. Bente Halvorsen, 2006. "When can micro properties be used to predict aggregate demand?," Discussion Papers 452, Statistics Norway, Research Department.

  4. 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. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
    2. Emili Tortosa-Ausina, 2000. "Inefficient banks or inefficient assets," Working Papers 0005, Departament Empresa, Universitat Autònoma de Barcelona, revised Dec 2000.
    3. Paul Schure & Dermot O'Brien & Rien Wagenvoort, 2002. "The Efficiency and the Conduct of European Banks: Developments after 1992," EUI-RSCAS Working Papers 60, European University Institute (EUI), Robert Schuman Centre of Advanced Studies (RSCAS).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Kauko, Karlo, 2007. "Managers and efficiency in banking," Bank of Finland Research Discussion Papers 11/2007, Bank of Finland.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Chunxia Jiang & Shujie Yao, 2010. "Banking Reform and Efficiency in China: 1995-2008," Discussion Papers 10/11, University of Nottingham, GEP.

  5. 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. 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.
    3. 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.
    4. 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.
    5. 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.
    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/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1398-1407, November.
    7. 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.
    8. 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.
    9. David J. McKenzie, 2006. "Disentangling Age, Cohort and Time Effects in the Additive Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(4), pages 473-495, August.
    10. 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.
    11. Arpita Chatterjee & Aarti Singh & Tahlee Stone, 2016. "Understanding Wage Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 348-360, September.
    12. 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.
    13. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    14. 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.
    15. 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.
    16. 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.

  6. 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.
  7. 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. 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. 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.
    4. 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.
    5. 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.
    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. 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.
    9. Ericson, Torgeir, 2011. "Households' self-selection of dynamic electricity tariffs," Applied Energy, Elsevier, vol. 88(7), pages 2541-2547, July.
    10. 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.
    11. 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.
    12. 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.
    13. Torgeir Ericson, 2006. "Households' self-selection of a dynamic electricity tariff," Discussion Papers 446, Statistics Norway, Research Department.

  8. 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. 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).
    2. 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.
    3. 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.
    4. 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).
    5. 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).
    6. 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.
    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. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    9. 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.
    10. 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.
    11. Guo, Bowei & Weeks, Melvyn, 2022. "Dynamic tariffs, demand response, and regulation in retail electricity markets," Energy Economics, Elsevier, vol. 106(C).
    12. 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.

  9. 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.
  10. 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(1), pages 1-16, March.

  11. 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. 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(1), pages 1-15, July.
    2. 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.
    3. 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.
    4. Kesavan, Thulasiram, 1988. "Monte Carlo experiments of market demand theory," ISU General Staff Papers 198801010800009854, Iowa State University, Department of Economics.
    5. 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.
    6. 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).
    7. Fousekis, Panos & Revell, Brian J., 2000. "Meat Demand in the UK: A Differential Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 32(1), pages 11-19, April.
    8. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    9. 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.
    10. 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(1), pages 1-12, July.
    11. 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/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1398-1407, November.
    12. 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.
    13. Moschini, GianCarlo & Vissa, A., 1993. "Flexible Specification of Mixed Demand Systems," Staff General Research Papers Archive 11249, Iowa State University, Department of Economics.
    14. Holt, Matthew T., 2002. "Inverse demand systems and choice of functional form," European Economic Review, Elsevier, vol. 46(1), pages 117-142, January.
    15. 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.
    16. Panos Fousekis & Brian J. Revell, 2002. "Primary Demand for Red Meats in the United Kingdom," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 63, pages 31-50.
    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. 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.
    19. 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.
    20. 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(1), pages 1-10, April.
    21. 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.
    22. 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).
    23. 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.
    24. Brown, Mark G., 2006. "Impact of Income on Price and Income Responses in the Differential Demand System," Research papers 36836, Florida Department of Citrus.
    25. 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).
    26. Clements, Kenneth W. & Qiang, Ye, 2003. "The Economics of Global Consumption Patterns," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(Supplemen), pages 1-17.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. Brown, Mark G., 2009. "Preference Variable Impacts in Direct and Inverse Differential Demand Systems," Research papers 104331, Florida Department of Citrus.
    32. 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.
    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. 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(1), pages 1-12, July.

  12. 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. 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.
    2. O'Connor, Fergal & Lucey, Brian & Batten, Jonathan & Baur, Dirk, 2015. "The Financial Economics of Gold - a survey," MPRA Paper 65484, University Library of Munich, Germany.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    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. 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.

  14. 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.

  15. 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. Andrikopoulos, A.A. & Loizides, J., 1997. "Cost Structure and Productivity Growth in European Railway System," DEOS Working Papers 0097-03, Athens University of Economics and Business.

  16. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
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    Cited by:

    1. Kim, Hyeongwoo & Thompson, Henry, 2014. "Wages in a factor proportions model with energy input," Economic Modelling, Elsevier, vol. 36(C), pages 495-501.
    2. 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.

  18. 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.

    Cited by:

    1. 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.
    2. 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.
    3. Lall, Somik & Shalizi, Zmarak & Deichmann, Uwe, 2001. "Agglomeration economies and productivity in Indian industry," Policy Research Working Paper Series 2663, The World Bank.
    4. Liu, Tung, 2021. "Measuring cost inefficiency: A dual approach," Economic Modelling, Elsevier, vol. 99(C).
    5. 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.
    6. Chia-Lin Chang & Les Oxley, 2008. "Industrial Agglomeration, Geographic Innovation and Total Factor Productivity: The Case of Taiwan," Working Papers in Economics 08/14, University of Canterbury, Department of Economics and Finance.
    7. 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, Northeastern Agricultural and Resource Economics Association, vol. 30(2), pages 1-11, October.
    8. 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.
    9. 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.
    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. 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.
    12. Franz Sinabell & Klaus Salhofer & Giannis Karagiannis, 2006. "Das Programm der ländlichen Entwicklung 2000-2006. Ausgewählte ökonomische Konsequenzen," WIFO Studies, WIFO, number 27158, April.
    13. 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.
    14. 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.
    15. Chia-Lin Chang & Stéphane Robin, 2008. "Public policy, innovation and total factor productivity : An application to Taiwan's manufacturing industry," Post-Print hal-03691878, HAL.
    16. 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.
    17. TOKUNAGA Suminori & KAGEYAMA Masahiro & AKUNE Yuko & NAKAMURA Ryohei, 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).
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Cooke, Stephen C. & Sundquist, W. Burt, 1991. "Measuring And Explaining The Decline In U.S. Cotton Productivity Growth," A.E. Research Series 140526, University of Idaho, Department of Agricultural Economics and Rural Sociology.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Salem, M., 1987. "Productivity and Technical Change in Canadian Food and Beverage Industries: 1961-1982," Working Papers 243864, Agriculture and Agri-Food Canada.
    28. 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.
    29. 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.

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