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Kambiz Raffiee

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.

Articles

  1. Bahram Adrangi & Mary Allender & Kambiz Raffiee, 2003. "Emerging markets and uncovered interest rate parity," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(3), pages 291-291, September.

    Cited by:

    1. Peter Ubi & Ishaku Rimamtanung Nyiputen, 2020. "Uncovered Interest Rate Parity and Investment: A Tripartite Analysis of Nigeria, United States of America and China," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(2), pages 111-127, April.

  2. Adrangi, Bahram & Chatrath, Arjun & Raffiee, Kambiz & D. Ripple, Ronald, 2001. "Alaska North Slope crude oil price and the behavior of diesel prices in California," Energy Economics, Elsevier, vol. 23(1), pages 29-42, January.

    Cited by:

    1. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2018. "U.S. Diesel Fuel Price Responses To The Global Crude Oil Supply And Demand," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-25, December.
    2. Papusson Chaiwat & Nantarat Tangvitoontham, 2014. "Petroleum s Price Transmission and Imported Demand for Crude Oil in Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 476-483.
    3. Wlazlowski, Szymon & Giulietti, Monica & Binner, Jane & Milas, Costas, 2009. "Price dynamics in European petroleum markets," Energy Economics, Elsevier, vol. 31(1), pages 99-108, January.
    4. Hengyun Ma & Les Oxley & John Gibson, 2008. "Testing for Energy Market Integration in China," Working Papers in Economics 08/12, University of Canterbury, Department of Economics and Finance.
    5. Zibin Zhang & Luanne Lohr & Cesar Escalante & Michael Wetzstein, 2009. "Ethanol, Corn, and Soybean Price Relations in a Volatile Vehicle-Fuels Market," Energies, MDPI, vol. 2(2), pages 1-20, June.
    6. Lurion M. De Mello & Ronald D. Ripple, 2017. "Polypropylene Price Dynamics: Input Costs or Downstream Demand?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Mario Denni & G. Frewer, 2006. "New evidence on the relationship beetween crude oil and petroleum product prices," Departmental Working Papers of Economics - University 'Roma Tre' 0061, Department of Economics - University Roma Tre.
    8. Delavari, Majid & Gandali Alikhani, Nadiya, 2012. "The Effect of Crude Oil Price on the Methanol price," MPRA Paper 49727, University Library of Munich, Germany.
    9. Alessandro Lanza & Matteo Manera & Massimo Giovannini, 2003. "Oil and Product Price Dynamics in International Petroleum Markets," Working Papers 2003.81, Fondazione Eni Enrico Mattei.
    10. Ma, Hengyun & Oxley, Les & Gibson, John, 2009. "Gradual reforms and the emergence of energy market in China: Evidence from tests for convergence of energy prices," Energy Policy, Elsevier, vol. 37(11), pages 4834-4850, November.
    11. Xiarchos, Irene M. & Fletcher, Jerald J., 2009. "Price and volatility transmission between primary and scrap metal markets," Resources, Conservation & Recycling, Elsevier, vol. 53(12), pages 664-673.
    12. A. Lanza & M. Manera & M. Giovannini, 2003. "Oil and price dynamics in international petroleum markets," Working Paper CRENoS 200306, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    13. Moutinho, Victor & Bento, João Paulo Cerdeira & Hajko, Vladimír, 2017. "Price relationships between crude oil and transport fuels in the European Union before and after the 2008 financial crisis," Utilities Policy, Elsevier, vol. 45(C), pages 76-83.
    14. Bahram Adrangi & Arjun Chatrath, 2022. "Dynamic Responses of Major Pacific Rim Emerging Equity Markets to the US Crude Oil Fear Index (OVX)," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 51-84.
    15. Wang, Xiaofei & Liu, Chuangeng & Chen, Shaojie & Chen, Lei & Li, Ke & Liu, Na, 2020. "Impact of coal sector’s de-capacity policy on coal price," Applied Energy, Elsevier, vol. 265(C).
    16. Pastor, Daniel J. & Ewing, Bradley T., 2022. "Is there evidence of mild explosive behavior in Alaska North Slope crude oil prices?," Energy Economics, Elsevier, vol. 114(C).
    17. Delavari, Majid & Gandali Alikhani, Nadiya & Naderi, Esmaeil, 2012. "The analyses of Crude Oil and Natural Gas Prices on Petrochemicals Products: A Case Study of IRAN's Methanol," MPRA Paper 48788, University Library of Munich, Germany.
    18. Toan Luu Duc Huynh & Muhammad Shahbaz & Muhammad Ali Nasir & Subhan Ullah, 2022. "Financial modelling, risk management of energy instruments and the role of cryptocurrencies," Annals of Operations Research, Springer, vol. 313(1), pages 47-75, June.
    19. Lanza, Alessandro & Manera, Matteo & Giovannini, Massimo, 2005. "Modeling and forecasting cointegrated relationships among heavy oil and product prices," Energy Economics, Elsevier, vol. 27(6), pages 831-848, November.
    20. Juraj Valachy, 2002. "Price Setting in Transition: The Effect of Takeover on a Petroleum Firm," CERGE-EI Working Papers wp197, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    21. Masih, Mansur & Algahtani, Ibrahim & De Mello, Lurion, 2010. "Price dynamics of crude oil and the regional ethylene markets," Energy Economics, Elsevier, vol. 32(6), pages 1435-1444, November.
    22. Zhang, Zibin & Wetzstein, Michael E., 2008. "New relationships: ethanol, corn, and gasoline volatility," Risk, Infrastructure and Industry Evolution Conference, June 24-25, 2008, Berkeley, California 48718, Farm Foundation.
    23. Jihed Majdoub & Walid Mansour & Islem Arrak, 2018. "Volatility Spillover among Equity Indices and Crude Oil Prices: Evidence from Islamic Markets امتداد التقلب بين مؤشرات الأسهم وأسعار النفط الخام: شواهد من الأسواق الإسلامية," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 31(1), pages 27-45, January.

  3. Adrangi, Bahram & Chatrath, Arjun & Dhanda, Kanwalroop Kathy & Raffiee, Kambiz, 2001. "Chaos in oil prices? Evidence from futures markets," Energy Economics, Elsevier, vol. 23(4), pages 405-425, July.

    Cited by:

    1. He, Ling-Yun & Qian, Wen-Bin, 2012. "A Monte Carlo simulation to the performance of the R/S and V/S methods—Statistical revisit and real world application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3770-3782.
    2. Loretta Mastroeni & Pierluigi Vellucci, 2016. "“Butterfly Effect" vs Chaos in Energy Futures Markets," Departmental Working Papers of Economics - University 'Roma Tre' 0209, Department of Economics - University Roma Tre.
    3. An, Haizhong & Gao, Xiangyun & Fang, Wei & Huang, Xuan & Ding, Yinghui, 2014. "The role of fluctuating modes of autocorrelation in crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 382-390.
    4. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    5. Melike Bildirici & Nilgun Guler Bayazit & Yasemen Ucan, 2021. "Modelling Oil Price with Lie Algebras and Long Short-Term Memory Networks," Mathematics, MDPI, vol. 9(14), pages 1-10, July.
    6. Masih, Rumi & Peters, Sanjay & De Mello, Lurion, 2011. "Oil price volatility and stock price fluctuations in an emerging market: Evidence from South Korea," Energy Economics, Elsevier, vol. 33(5), pages 975-986, September.
    7. Melike Bildirici & Özgür Ömer Ersin, 2014. "Nonlinearity, Volatility and Fractional Integration in Daily Oil Prices: Smooth Transition Autoregressive ST-FI(AP)GARCH Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-135, October.
    8. Hongtao Chen & Lianghua Chen, 2015. "Multifractal spectrum analysis of Brent crude oil futures prices volatility in intercontinental exchange," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 93-108.
    9. Song, Zhouying & Zhu, Qiaoling & Han, Mengyao, 2021. "Tele-connection of global crude oil network: Comparisons between direct trade and embodied flows," Energy, Elsevier, vol. 217(C).
    10. Haider Ali & Faheem Aslam & Paulo Ferreira, 2021. "Modeling Dynamic Multifractal Efficiency of US Electricity Market," Energies, MDPI, vol. 14(19), pages 1-16, September.
    11. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    12. Wang, Yudong & Wu, Chongfeng, 2012. "Energy prices and exchange rates of the U.S. dollar: Further evidence from linear and nonlinear causality analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2289-2297.
    13. Natanelov, Valeri & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2013. "Crude oil–corn–ethanol – nexus: A contextual approach," Energy Policy, Elsevier, vol. 63(C), pages 504-513.
    14. He, Ling-Yun & Fan, Ying & Wei, Yi-Ming, 2009. "Impact of speculator's expectations of returns and time scales of investment on crude oil price behaviors," Energy Economics, Elsevier, vol. 31(1), pages 77-84, January.
    15. Aslam, Faheem & Aziz, Saqib & Nguyen, Duc Khuong & Mughal, Khurrum S. & Khan, Maaz, 2020. "On the efficiency of foreign exchange markets in times of the COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    16. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2017. "Crude Oil Price Volatility Spillovers and Agricultural Commodities: A Study in Time and Frequency Domains," Review of Economics & Finance, Better Advances Press, Canada, vol. 9, pages 42-56, August.
    17. Caraiani, Petre, 2013. "Testing for nonlinearity and chaos in economic time series with noise titration," Economics Letters, Elsevier, vol. 120(2), pages 192-194.
    18. Wang, Yudong & Wu, Chongfeng & Wei, Yu, 2011. "Can GARCH-class models capture long memory in WTI crude oil markets?," Economic Modelling, Elsevier, vol. 28(3), pages 921-927, May.
    19. Korotin, Vladimir & Popov, Victor & Tolokonsky, Andrey & Islamov, Rustam & Ulchenkov, Arseniy, 2017. "A multi-criteria approach to selecting an optimal portfolio of refinery upgrade projects under margin and tax regime uncertainty," Omega, Elsevier, vol. 72(C), pages 50-58.
    20. Mastroeni, Loretta & Vellucci, Pierluigi & Naldi, Maurizio, 2019. "A reappraisal of the chaotic paradigm for energy commodity prices," Energy Economics, Elsevier, vol. 82(C), pages 167-178.
    21. Lu-Tao Zhao & Guan-Rong Zeng & Ling-Yun He & Ya Meng, 2020. "Forecasting Short-Term Oil Price with a Generalised Pattern Matching Model Based on Empirical Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1151-1169, April.
    22. Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo, 2008. "Short-term predictability of crude oil markets: A detrended fluctuation analysis approach," Energy Economics, Elsevier, vol. 30(5), pages 2645-2656, September.
    23. Bahram Adrangi & Richard D. Gritta & Kambiz Raffiee, 2013. "Volatility Spillovers and Nonlinear Dynamics between Jet Fuel Prices and Air Carrier Revenue Passenger Miles in the US," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 01-18, August.
    24. Loretta Mastroeni & Pierluigi Vellucci, 2016. ""Butterfly Effect" vs Chaos in Energy Futures Markets," Papers 1610.05697, arXiv.org.
    25. Godarzi, Ali Abbasi & Amiri, Rohollah Madadi & Talaei, Alireza & Jamasb, Tooraj, 2014. "Predicting oil price movements: A dynamic Artificial Neural Network approach," Energy Policy, Elsevier, vol. 68(C), pages 371-382.
    26. Cal Muckley, 2004. "Empirical asset return distributions: is chaos the culprit?," Applied Economics Letters, Taylor & Francis Journals, vol. 11(2), pages 81-86.
    27. Liu, Nairong & An, Haizhong & Hao, Xiaoqing & Feng, Sida, 2017. "The stability of the international heat pump trade pattern based on complex networks analysis," Applied Energy, Elsevier, vol. 196(C), pages 100-117.
    28. Aslam, Faheem & Zil-e-huma, & Bibi, Rashida & Ferreira, Paulo, 2022. "Cross-correlations between economic policy uncertainty and precious and industrial metals: A multifractal cross-correlation analysis," Resources Policy, Elsevier, vol. 75(C).
    29. Marisa Faggini, 2011. "Chaotic Time Series Analysis in Economics: Balance and Perspectives," Working papers 25, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    30. Matteo Manera & Alessandro Lanza & Michael McAleer, 2004. "Modelling Dynamic Conditional Correlations in WTI Oil Forward and Futures Returns," Working Papers 2004.72, Fondazione Eni Enrico Mattei.
    31. Loretta Mastroeni & Pierluigi Vellucci, 2016. ""Chaos" in energy and commodity markets: a controversial matter," Papers 1611.07432, arXiv.org, revised Mar 2017.
    32. Tonn, Victor Lux & Li, H.C. & McCarthy, Joseph, 2010. "Wavelet domain correlation between the futures prices of natural gas and oil," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 408-414, November.
    33. Marisa Faggini & Bruna Bruno & Anna Parziale, 2019. "Does Chaos Matter in Financial Time Series Analysis?," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 18-24.
    34. Ling-Yun He, 2010. "Is Price Behavior Scaling and Multiscaling in a Dealer Market? Perspectives from Multi-Agent Based Experiments," Computational Economics, Springer;Society for Computational Economics, vol. 36(3), pages 263-282, October.
    35. Tapia Cortez, Carlos A. & Hitch, Michael & Sammut, Claude & Coulton, Jeff & Shishko, Robert & Saydam, Serkan, 2018. "Determining the embedding parameters governing long-term dynamics of copper prices," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 186-197.
    36. Claudiu Tiberiu Albulescu & Mihai Ioan Mutascu, 2021. "Fuel price co-movements among France, Germany and Italy: A time-frequency investigation," Post-Print hal-03529585, HAL.
    37. Melike Bildirici & Nilgun Guler Bayazit & Yasemen Ucan, 2020. "Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM," Energies, MDPI, vol. 13(11), pages 1-18, June.
    38. Wei, Yu & Wang, Yudong & Huang, Dengshi, 2010. "Forecasting crude oil market volatility: Further evidence using GARCH-class models," Energy Economics, Elsevier, vol. 32(6), pages 1477-1484, November.
    39. Faheem Aslam & Wahbeeah Mohti & Paulo Ferreira, 2020. "Evidence of Intraday Multifractality in European Stock Markets during the Recent Coronavirus (COVID-19) Outbreak," IJFS, MDPI, vol. 8(2), pages 1-13, May.
    40. Lucía Inglada-Pérez & Pablo Coto-Millán, 2021. "A Chaos Analysis of the Dry Bulk Shipping Market," Mathematics, MDPI, vol. 9(17), pages 1-35, August.
    41. Gu, Rongbao & Chen, Hongtao & Wang, Yudong, 2010. "Multifractal analysis on international crude oil markets based on the multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(14), pages 2805-2815.
    42. Gu, Rongbao & Zhang, Bing, 2016. "Is efficiency of crude oil market affected by multifractality? Evidence from the WTI crude oil market," Energy Economics, Elsevier, vol. 53(C), pages 151-158.
    43. Lu-Tao Zhao & Guan-Rong Zeng & Wen-Jing Wang & Zhi-Gang Zhang, 2019. "Forecasting Oil Price Using Web-based Sentiment Analysis," Energies, MDPI, vol. 12(22), pages 1-18, November.
    44. Natanelov, Valeri & Alam, Mohammad Jahangir & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2011. "Is There Co-Movement of Agricultural Commodities Futures Prices and Crude Oil?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114626, European Association of Agricultural Economists.
    45. Kang, Sang Hoon & Kang, Sang-Mok & Yoon, Seong-Min, 2009. "Forecasting volatility of crude oil markets," Energy Economics, Elsevier, vol. 31(1), pages 119-125, January.
    46. Chen, Shu-Peng & He, Ling-Yun, 2010. "Multifractal spectrum analysis of nonlinear dynamical mechanisms in China’s agricultural futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1434-1444.
    47. Ghaffari, Ali & Zare, Samaneh, 2009. "A novel algorithm for prediction of crude oil price variation based on soft computing," Energy Economics, Elsevier, vol. 31(4), pages 531-536, July.
    48. Loretta Mastroeni & Pierluigi Vellucci, 2017. "“Chaos” In Energy And Commodity Markets: A Controversial Matter," Departmental Working Papers of Economics - University 'Roma Tre' 0218, Department of Economics - University Roma Tre.
    49. Madarassy Akin, Rita, 2003. "Maturity Effects in Futures Markets: Evidence from Eleven Financial Futures Markets," Santa Cruz Center for International Economics, Working Paper Series qt1n04g31b, Center for International Economics, UC Santa Cruz.
    50. Gencer, Murat & Unal, Gazanfer, 2016. "Testing Non-Linear Dynamics, Long Memory and Chaotic Behaviour of Energy Commodities," MPRA Paper 74115, University Library of Munich, Germany.
    51. Chantziara, Thalia & Skiadopoulos, George, 2008. "Can the dynamics of the term structure of petroleum futures be forecasted? Evidence from major markets," Energy Economics, Elsevier, vol. 30(3), pages 962-985, May.
    52. He, Ling-Yun & Chen, Shu-Peng, 2010. "Are developed and emerging agricultural futures markets multifractal? A comparative perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3828-3836.
    53. Lucey, Brian & Ren, Boru, 2021. "Does news tone help forecast oil?," Economic Modelling, Elsevier, vol. 104(C).
    54. Zhang, Yahui & Liu, Li, 2018. "The lead-lag relationships between spot and futures prices of natural gas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 203-211.
    55. Bahram Adrangi & Mary E. Allender & Kambiz Raffiee, 2011. "Exchange Rates and Inflation Rates: Exploring Nonlinear Relationships," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 1-16, April.
    56. He, Ling-Yun & Chen, Shu-Peng, 2010. "Are crude oil markets multifractal? Evidence from MF-DFA and MF-SSA perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3218-3229.
    57. Madarassy Akin, Rita, 2003. "Maturity Effects in Futures Markets: Evidence from Eleven Financial Futures Markets," Santa Cruz Department of Economics, Working Paper Series qt1n04g31b, Department of Economics, UC Santa Cruz.
    58. Yu Mei & Gao Qian & Liu Zijian & Zhou Yike & Ralescu Dan, 2015. "A Study on the Optimal Portfolio Strategies Under Inflation," Journal of Systems Science and Information, De Gruyter, vol. 3(2), pages 111-132, April.
    59. Kristoufek, Ladislav, 2019. "Are the crude oil markets really becoming more efficient over time? Some new evidence," Energy Economics, Elsevier, vol. 82(C), pages 253-263.
    60. Bahram Adrangi & Arjun Chatrath & Kambiz Raffiee, 2023. "S&P 500 volatility, volatility regimes, and economic uncertainty," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1362-1387, October.
    61. Fan, Ying & Liang, Qiang & Wei, Yi-Ming, 2008. "A generalized pattern matching approach for multi-step prediction of crude oil price," Energy Economics, Elsevier, vol. 30(3), pages 889-904, May.
    62. Tao Yin & Yiming Wang, 2019. "Predicting the Price of WTI Crude Oil Using ANN and Chaos," Sustainability, MDPI, vol. 11(21), pages 1-14, October.
    63. Wei, Yu, 2012. "Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5546-5556.
    64. Tabak, Benjamin M. & Cajueiro, Daniel O., 2007. "Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility," Energy Economics, Elsevier, vol. 29(1), pages 28-36, January.
    65. Marcos Álvarez-Díaz, 2020. "Is it possible to accurately forecast the evolution of Brent crude oil prices? An answer based on parametric and nonparametric forecasting methods," Empirical Economics, Springer, vol. 59(3), pages 1285-1305, September.
    66. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

  4. Bhattacharyya, Arunava & Harris, Thomas R. & Narayanan, Rangesan & Raffiee, Kambiz, 1995. "Specification and estimation of the effect of ownership on the economic efficiency of the water utilities," Regional Science and Urban Economics, Elsevier, vol. 25(6), pages 759-784, December.

    Cited by:

    1. Carvalho, Pedro & Marques, Rui Cunha & Berg, Sanford, 2011. "A meta-regression analysis of benchmarking studies on water utilities market structure," MPRA Paper 32894, University Library of Munich, Germany.
    2. Aude Le Lannier & Simon Porcher, 2013. "Efficiency in the public and private French water utilities: prospects for benchmarking," Post-Print halshs-01898160, HAL.
    3. Bozec, Richard, 2004. "L’analyse comparative de la performance entre les entreprises publiques et les entreprises privées : le problème de mesure et son impact sur les résultats," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(4), pages 619-654, Décembre.
    4. François Destandau & Serge Garcia, 2014. "Service quality, scale economies and ownership: an econometric analysis of water supply costs," Journal of Regulatory Economics, Springer, vol. 46(2), pages 152-182, October.
    5. Bel Germà & Fageda Xavier & E. Mildred, 2014. "Is private production of public services cheaper than public production? A meta-regression analysis of solid waste and water services," Public administration issues, Higher School of Economics, issue 3, pages 103-140.
    6. Takuya Urakami, 2005. "Identifying scale economies for different types of water supply organizations in Japan," ERSA conference papers ersa05p370, European Regional Science Association.
    7. Michael Zschille & Matthias Walter, 2012. "The performance of German water utilities: a (semi)-parametric analysis," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3749-3764, October.
    8. Danelon, André F. & Spolador, Humberto F.S. & Kumbhakar, Subal C., 2021. "Weather and population size effects on water and sewer treatment costs: Evidence from Brazil," Journal of Development Economics, Elsevier, vol. 153(C).
    9. Patricia Bachiller & Giuseppe Grossi, 2012. "Great expectations but poor results: financial and social performance of the T oscana Energia merger," Public Money & Management, Taylor & Francis Journals, vol. 32(1), pages 69-74, January.
    10. Graziano Abrate & Fabrizio Erbetta & Giovanni Fraquelli, 2011. "Public utility planning and cost efficiency in a decentralized regulation context: the case of the Italian integrated water service," Journal of Productivity Analysis, Springer, vol. 35(3), pages 227-242, June.
    11. Germà Bel, 2013. "Local government size and efficiency in capital-intensive services: what evidence is there of economies of scale, density and scope?," Chapters, in: Santiago Lago-Peñas & Jorge Martinez-Vazquez (ed.), The Challenge of Local Government Size, chapter 6, pages 148-170, Edward Elgar Publishing.
    12. Worthington, Andrew C. & Higgs, Helen, 2014. "Economies of scale and scope in Australian urban water utilities," Utilities Policy, Elsevier, vol. 31(C), pages 52-62.
    13. Fu, Guanlong & Liu, Pengfei & Swallow, Stephen K., 2020. "Effectiveness of Public versus Private Ownership: Violations of the Safe Drinking Water Act (SDWA)," Agricultural and Resource Economics Review, Cambridge University Press, vol. 49(2), pages 291-320, August.
    14. Rita Martins & Fernando Coelho & Adelino Fortunato, 2008. "Water Losses and Hydrographical Regions Influence on the Cost Structure of the Portuguese Water Industry," GEMF Working Papers 2008-06, GEMF, Faculty of Economics, University of Coimbra.
    15. Li, Li, 2018. "Private sector participation and performance of county water utilities in China," China Economic Review, Elsevier, vol. 52(C), pages 30-53.
    16. Saal, David S. & Arocena, Pablo & Maziotis, Alexandros & Triebs, Thomas, 2013. "Scale and Scope Economies and the Efficient Vertical and Horizontal Configuration of the Water Industry: A Survey of the Literature," Munich Reprints in Economics 59563, University of Munich, Department of Economics.
    17. FuloP ARPAD ZOLTAN & BAKO KINGA ERZSEBET, 2017. "The Analysis Structures Of The Costs And Of The Relationship Between Costs And Revenues In The Sector Of Sewerage And Wastewater Treatment In Romania," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 2, pages 188-196, December.
    18. José Luis Zafra-Gómez & Victor Giménez-García & Cristina María Campos-Alba & Emilio José Higuera-Molina, 2020. "Direct Management or Inter-Municipal Cooperation in Smaller Municipalities? Exploring Cost Efficiency and Installed Capacity in Drinking Water Supply," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4289-4302, October.
    19. Massimo Filippini & Nevenka Hrovatin & Jelena Zoric, 2010. "Productivity growth and price regulation of Slovenian water distribution utilities," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 28(1), pages 89-112.
    20. Serge Garcia & Alban Thomas, 2001. "The Structure of Municipal Water Supply Costs: Application to a Panel of French Local Communities," Journal of Productivity Analysis, Springer, vol. 16(1), pages 5-29, July.
    21. Andrea Guerrini & Giulia Romano & Bettina Campedelli, 2013. "Economies of Scale, Scope, and Density in the Italian Water Sector: A Two-Stage Data Envelopment Analysis Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4559-4578, October.
    22. Zschille, Michael, 2012. "Consolidating the Water Industry: An Analysis of the Potential Gains from Horizontal Integration in a Conditional Efficiency Fr," CEPR Discussion Papers 8737, C.E.P.R. Discussion Papers.
    23. Ferro, Gustavo & Lentini, Emilio & Mercadier, Augusto & Romero, Carlos A., 2010. "Retornos a escala en agua y saneamiento: estimaciones para América Latina [Returns to scale in water and sanitation: estimates for Latin Amercia]," MPRA Paper 20324, University Library of Munich, Germany, revised Jan 2010.
    24. Byrnes, Joel & Crase, Lin & Dollery, Brian & Villano, Renato, 2010. "The relative economic efficiency of urban water utilities in regional New South Wales and Victoria," Resource and Energy Economics, Elsevier, vol. 32(3), pages 439-455, August.
    25. Walter, Matthias & Cullmann, Astrid & von Hirschhausen, Christian & Wand, Robert & Zschille, Michael, 2009. "Quo vadis efficiency analysis of water distribution? A comparative literature review," Utilities Policy, Elsevier, vol. 17(3-4), pages 225-232, September.
    26. Arnaud Reynaud & Alban Thomas, 2005. "Demande domestique en eau et choix de délégation : le cas français," Post-Print hal-02675199, HAL.
    27. Yeti Nisha Madhoo, 2007. "International Trends In Water Utility Regimes," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 78(1), pages 87-135, March.
    28. Jinjin Zhao, 2020. "Productivity change in the privatized water sector in China (1999–2006)," Journal of Productivity Analysis, Springer, vol. 53(2), pages 227-241, April.
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