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Stuart Bretschneider

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. Fleishman, Rachel & Alexander, Rob & Bretschneider, Stuart & Popp, David, 2009. "Does regulation stimulate productivity? The effect of air quality policies on the efficiency of US power plants," Energy Policy, Elsevier, vol. 37(11), pages 4574-4582, November.

    Cited by:

    1. Zhang, Ning & Gong, Maoyu, 2022. "Economic and environmental outcomes of economic transition: Evidence from a quasi-experiment in China," Journal of Asian Economics, Elsevier, vol. 80(C).
    2. Xianhua Wu & Yufeng Chen & Ji Guo & Ge Gao, 2018. "Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5 in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 1-25, January.
    3. Jaraite, Jurate & Di Maria, Corrado, 2011. "Efficiency, Productivity and Environmental Policy: A Case Study of Power Generation in the EU," CERE Working Papers 2011:3, CERE - the Center for Environmental and Resource Economics.
    4. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    5. Mamardashvili, Phatima & Jan, Pierrick, 2014. "Environmentally harmful by-products in efficiency analysis: An example of nitrogen surplus on Swiss dairy farms," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182962, European Association of Agricultural Economists.
    6. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Zhang, ZhongXiang, 2017. "What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-efficiency," MITP: Mitigation, Innovation and Transformation Pathways 254042, Fondazione Eni Enrico Mattei (FEEM).
    7. Di Leo, Simone & Chicca, Marta & Daraio, Cinzia & Guerrini, Andrea & Scarcella, Stefano, 2024. "A robust benchmarking of direct margin in Italy's energy retail markets," Utilities Policy, Elsevier, vol. 86(C).
    8. Linn, Joshua & Mastrangelo, Erin & Burtraw, Dallas, 2013. "Regulating Greenhouse Gases from Coal Power Plants under the Clean Air Act," RFF Working Paper Series dp-13-05, Resources for the Future.
    9. Qiuping Chen & Bo Ning & Yue Pan & Jinli Xiao, 2022. "Green finance and outward foreign direct investment: evidence from a quasi-natural experiment of green insurance in China," Asia Pacific Journal of Management, Springer, vol. 39(3), pages 899-924, September.
    10. Johan Brolund & Robert Lundmark, 2017. "Effect of Environmental Regulation Stringency on the Pulp and Paper Industry," Sustainability, MDPI, vol. 9(12), pages 1-16, December.
    11. Chen, Yufeng & Ma, Yanbai, 2021. "Does green investment improve energy firm performance?," Energy Policy, Elsevier, vol. 153(C).
    12. Seifert, Stefan, 2015. "Productivity Growth and its Sources - A StoNED Metafrontier Analyis of the German Electricity Generating Sector," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112975, Verein für Socialpolitik / German Economic Association.
    13. Sueyoshi, Toshiyuki & Goto, Mika, 2010. "Should the US clean air act include CO2 emission control?: Examination by data envelopment analysis," Energy Policy, Elsevier, vol. 38(10), pages 5902-5911, October.
    14. Lin, Boqiang & Xie, Yongjing, 2022. "Analysis on operational efficiency and its influencing factors of China’s nuclear power plants," Energy, Elsevier, vol. 261(PA).
    15. Bai-Chen, Xie & Ying, Fan & Qian-Qian, Qu, 2012. "Does generation form influence environmental efficiency performance? An analysis of China’s power system," Applied Energy, Elsevier, vol. 96(C), pages 261-271.
    16. Zhaolong Wang & Yeqing Yang & Yu Wei, 2022. "Study on Relationship between Environmental Regulation and Green Total Factor Productivity from the Perspective of FDI—Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    17. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    18. Yung-Hsiang Lu & Ku-Hsieh Chen & Jen-Chi Cheng & Chih-Chun Chen & Sian-Yuan Li, 2019. "Analysis of Environmental Productivity on Fossil Fuel Power Plants in the U.S," Sustainability, MDPI, vol. 11(24), pages 1-27, December.
    19. Manello, Alessandro, 2017. "Productivity growth, environmental regulation and win–win opportunities: The case of chemical industry in Italy and Germany," European Journal of Operational Research, Elsevier, vol. 262(2), pages 733-743.
    20. Zhou, Yan & Xing, Xinpeng & Fang, Kuangnan & Liang, Dapeng & Xu, Chunlin, 2013. "Environmental efficiency analysis of power industry in China based on an entropy SBM model," Energy Policy, Elsevier, vol. 57(C), pages 68-75.
    21. Zhou, Yishu & Huang, Ling, 2016. "Have U.S. power plants become less technically efficient? The impact of carbon emission regulation," Energy Economics, Elsevier, vol. 58(C), pages 105-115.
    22. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Pang, Rui-Zhi & Zhang, ZhongXiang, 2018. "The environmental efficiency analysis of China’s power generation sector based on game cross-efficiency approach," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 126-135.
    23. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2019. "Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of U.S. power plants," Energy Economics, Elsevier, vol. 81(C), pages 610-625.

  2. Yonghong Wu & D. Popp & S. Bretschneider, 2007. "The Effects Of Innovation Policies On Business R&D: A Cross-National Empirical Study," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(4), pages 237-253.

    Cited by:

    1. Wang, Eric C., 2010. "Determinants of R&D investment: The Extreme-Bounds-Analysis approach applied to 26 OECD countries," Research Policy, Elsevier, vol. 39(1), pages 103-116, February.
    2. Kiss, János, 2014. "Az innováció hatása a vállalati teljesítményre és versenyképességre [The impact of innovation activities on firms performance and competitiveness]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 299-314.
    3. Davis, Nick, 2006. "Business R&D, Innovation and Economic Growth: An Evidence-Based Synthesis of the Policy Issues," Occasional Papers 06/8, Ministry of Economic Development, New Zealand.
    4. Isabel Busom & Beatriz Corchuelo & Ester Martínez-Ros, 2015. "Dynamics of firm participation in R&D tax credit and subsidy programs," Working Papers wpdea1503, Department of Applied Economics at Universitat Autonoma of Barcelona.
    5. Ameen, Nisreen & Shah, Mahmood Hussain & Sims, Julian & Choudrie, Jyoti & Willis, Robert, 2020. "Are there peas in a pod when considering mobile phone and mobile applications use: A quantitative study," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).

  3. Yixin Dai & David Popp & Stuart Bretschneider, 2005. "Institutions and intellectual property: The influence of institutional forces on university patenting," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(3), pages 579-598.

    Cited by:

    1. Eskeland, Gunnar S. & Mideksa, Torben K., 2008. "Transportation fuel use, technology and standards: The role of credibility and expectations," Policy Research Working Paper Series 4695, The World Bank.
    2. Hong Gong & Libing Nie & Yuyao Peng & Shan Peng & Yushan Liu, 2020. "The innovation value chain of patents: Breakthrough in the patent commercialization trap in Chinese universities," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-15, March.
    3. William A. Pizer & David Popp, 2007. "Endogenizing Technological Change: Matching Empirical Evidence to Modeling Needs," NBER Working Papers 13053, National Bureau of Economic Research, Inc.
    4. Norrin Halilem & Nabil Amara & Réjean Landry, 2011. "Is the academic Ivory Tower becoming a managed structure? A nested analysis of the variance in activities of researchers from natural sciences and engineering in Canada," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 431-448, February.
    5. Nemet, Gregory F., 2012. "Inter-technology knowledge spillovers for energy technologies," Energy Economics, Elsevier, vol. 34(5), pages 1259-1270.
    6. Manuel Acosta & Daniel Coronado & M. Ángeles Martínez, 2018. "Does technological diversification spur university patenting?," The Journal of Technology Transfer, Springer, vol. 43(1), pages 96-119, February.
    7. Juan Jesus Arenas & Domingo González, 2018. "Technology Transfer Models and Elements in the University-Industry Collaboration," Administrative Sciences, MDPI, vol. 8(2), pages 1-17, June.
    8. Ruzzier Mitja & Nagy Tine & Ravnihar Robert, 2009. "Analyzing the Process of Patent Submission with a Special Emphasis on the Phases of the Research Process - the Case of Slovenia," Organizacija, Sciendo, vol. 42(5), pages 156-164, September.
    9. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    10. Branco Ponomariov, 2013. "Government-sponsored university-industry collaboration and the production of nanotechnology patents in US universities," The Journal of Technology Transfer, Springer, vol. 38(6), pages 749-767, December.
    11. Hong Gong & Shan Peng, 2018. "Effects of patent policy on innovation outputs and commercialization: evidence from universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 687-703, November.

  4. Fildes, Robert & Bretschneider, Stuart & Collopy, Fred & Lawrence, Michael & Stewart, Doug & Winklhofer, Heidi & Mentzer, John T. & Moon, Mark A., 2003. "Researching Sales Forecasting Practice: Commentaries and authors' response on "Conducting a Sales Forecasting Audit" by M.A. Moon, J.T. Mentzer & C.D. Smith," International Journal of Forecasting, Elsevier, vol. 19(1), pages 27-42.

    Cited by:

    1. Fildes, Robert & Goodwin, Paul & Lawrence, Michael & Nikolopoulos, Konstantinos, 2009. "Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning," International Journal of Forecasting, Elsevier, vol. 25(1), pages 3-23.
    2. Robert Fildes & Paul Goodwin, 2007. "Against Your Better Judgment? How Organizations Can Improve Their Use of Management Judgment in Forecasting," Interfaces, INFORMS, vol. 37(6), pages 570-576, December.

  5. Bifulco, Robert & Bretschneider, Stuart, 2003. "Response to comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 635-638, December.

    Cited by:

    1. David J. Mayston, 2017. "Data envelopment analysis, endogeneity and the quality frontier for public services," Annals of Operations Research, Springer, vol. 250(1), pages 185-203, March.
    2. Christopher C. Klein, 2007. "Efficiency versus Effectiveness: Interpreting Education Production Studies," Working Papers 200703, Middle Tennessee State University, Department of Economics and Finance.
    3. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2015. "Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 244(2), pages 511-518.
    4. Jamal Ali Al-Khasawneh & Benito A. Sanchez, 2021. "Deal-to-deal marginal efficiency dynamics of serial US banking acquirers," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1283-1308, November.
    5. David J. Mayston, 2015. "Data envelopment analysis, endogeneity and the quality frontier for public services," Discussion Papers 15/05, Department of Economics, University of York.
    6. Iyad Dhaoui, 2019. "Healthcare system efficiency and its determinants: A two-stage Data Envelopment Analysis (DEA) from MENA countries," Working Papers 1320, Economic Research Forum, revised 21 Aug 2019.
    7. Ruggiero, John, 2003. "Rejoinder," Economics of Education Review, Elsevier, vol. 22(6), pages 639-640, December.
    8. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2013. "Dealing with the Endogeneity Problem in Data Envelopment Analysis," MPRA Paper 47475, University Library of Munich, Germany.

  6. Bifulco, Robert & Bretschneider, Stuart, 2001. "Estimating school efficiency: A comparison of methods using simulated data," Economics of Education Review, Elsevier, vol. 20(5), pages 417-429, October.

    Cited by:

    1. David J. Mayston, 2017. "Data envelopment analysis, endogeneity and the quality frontier for public services," Annals of Operations Research, Springer, vol. 250(1), pages 185-203, March.
    2. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
    3. Jose M. Cordero & Cristina Polo & Nickolaos G. Tzeremes, 2020. "Evaluating the efficiency of municipalities in the presence of unobserved heterogeneity," Journal of Productivity Analysis, Springer, vol. 53(3), pages 377-390, June.
    4. Bigerna, Simona & D’Errico, Maria Chiara & Polinori, Paolo, 2021. "Energy security and RES penetration in a growing decarbonized economy in the era of the 4th industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    5. Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2013. "A multilevel decomposition of school performance using robust nonparametric frontier techniques," Economics of Education Review, Elsevier, vol. 32(C), pages 104-121.
    6. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2015. "Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 244(2), pages 511-518.
    7. Clint Chadwick & Ji-Young Ahn & Kiwook Kwon, 2012. "Human Resource Management’s Effects on Firm-Level Relative Efficiency," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 51(3), pages 704-730, July.
    8. Ruggiero, John, 2006. "Measurement error, education production and data envelopment analysis," Economics of Education Review, Elsevier, vol. 25(3), pages 327-333, June.
    9. Giuseppe Coco & Raffaele Lagravinese, 2012. "Incentive Effects on Efficiency in Education Systems’ Performance," Working Papers 270, ECINEQ, Society for the Study of Economic Inequality.
    10. Laura Di Giorgio & Abraham D Flaxman & Mark W Moses & Nancy Fullman & Michael Hanlon & Ruben O Conner & Alexandra Wollum & Christopher J L Murray, 2016. "Efficiency of Health Care Production in Low-Resource Settings: A Monte-Carlo Simulation to Compare the Performance of Data Envelopment Analysis, Stochastic Distance Functions, and an Ensemble Model," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
    11. Jamal Ali Al-Khasawneh & Benito A. Sanchez, 2021. "Deal-to-deal marginal efficiency dynamics of serial US banking acquirers," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1283-1308, November.
    12. Azadeh, A. & Ghaderi, S.F. & Omrani, H. & Eivazy, H., 2009. "An integrated DEA-COLS-SFA algorithm for optimization and policy making of electricity distribution units," Energy Policy, Elsevier, vol. 37(7), pages 2605-2618, July.
    13. Vittadini, Giorgio & Sturaro, Caterina & Folloni, Giuseppe, 2022. "Non-Cognitive Skills and Cognitive Skills to measure school efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    14. David J. Mayston, 2015. "Data envelopment analysis, endogeneity and the quality frontier for public services," Discussion Papers 15/05, Department of Economics, University of York.
    15. De Witte, Kristof & Rogge, Nicky, 2011. "Accounting for exogenous influences in performance evaluations of teachers," Economics of Education Review, Elsevier, vol. 30(4), pages 641-653, August.
    16. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo, 2022. "Environmental variables and power firms' productivity: micro panel estimation with time-Invariant variables," MPRA Paper 114157, University Library of Munich, Germany.
    17. Bifulco, Robert & Bretschneider, Stuart, 2003. "Response to comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 635-638, December.
    18. Becerra, Ligia Melo, 2004. "Intergovernmental fiscal relations : the Colombian case," Economics PhD Theses 0304, Department of Economics, University of Sussex Business School.
    19. Iyad Dhaoui, 2019. "Healthcare system efficiency and its determinants: A two-stage Data Envelopment Analysis (DEA) from MENA countries," Working Papers 1320, Economic Research Forum, revised 21 Aug 2019.
    20. V Giménez & D Prior & C Thieme, 2007. "Technical efficiency, managerial efficiency and objective-setting in the educational system: an international comparison," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 996-1007, August.
    21. Ruggiero, John, 2003. "Comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 631-634, December.
    22. Claudio Thieme & Diego Prior & Víctor Giménez & Emili Tortosa-Ausina, 2011. "Desempeño de los centros educativos: ¿un problema de recursos o capacidades organizativas?," Hacienda Pública Española / Review of Public Economics, IEF, vol. 199(4), pages 81-118, December.
    23. Gimenez, Victor M. & Martinez, Jose Luis, 2006. "Cost efficiency in the university: A departmental evaluation model," Economics of Education Review, Elsevier, vol. 25(5), pages 543-553, October.
    24. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2013. "Dealing with the Endogeneity Problem in Data Envelopment Analysis," MPRA Paper 47475, University Library of Munich, Germany.

  7. Eric W. Welch & Allan Mazur & Stuart Bretschneider, 2000. "Voluntary behavior by electric utilities: Levels of adoption and contribution of the climate challenge program to the reduction of carbon dioxide," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 407-425.

    Cited by:

    1. Harrington, Donna Ramirez, 2012. "Two-stage adoption of different types of pollution prevention (P2) activities," Resource and Energy Economics, Elsevier, vol. 34(3), pages 349-373.
    2. Arimura, Toshi & Hibiki, Akira & Katayama, Hajime, 2007. "Is a Voluntary Approach an Effective Environmental Policy Instrument? A Case for Environmental Management Systems," RFF Working Paper Series dp-07-31, Resources for the Future.
    3. Seong‐gin Moon & Suho Bae & Moon‐Gi Jeong, 2014. "Corporate Sustainability and Economic Performance: an Empirical Analysis of a Voluntary Environmental Program in the USA," Business Strategy and the Environment, Wiley Blackwell, vol. 23(8), pages 534-546, December.
    4. Eric W. Welch & Yasuhumi Mori & Midori Aoyagi‐Usui, 2002. "Voluntary adoption of ISO 14001 in Japan: mechanisms, stages and effects," Business Strategy and the Environment, Wiley Blackwell, vol. 11(1), pages 43-62, January.
    5. Keith Brouhle & Charles Griffiths & Ann Wolverton, 2007. "Evaluating the Effectiveness of EPA Voluntary Programs: An Examination of the Strategic Goals Program for Metal Finishers," NCEE Working Paper Series 200706, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised May 2007.
    6. Olatubi, Williams O. & Dismukes, David E., 2000. "A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance," Utilities Policy, Elsevier, vol. 9(2), pages 47-59, June.
    7. Lee, Michelle H.W. & Clark, Ashley & Rupp, John & Wietelman, Derek C. & Graham, John D., 2019. "Public opinion toward hydraulic fracturing: The effect of beyond compliance and voluntary third-party certification," Energy Policy, Elsevier, vol. 128(C), pages 306-315.
    8. Zhu, Xufeng & Zhang, Chao, 2012. "Reducing information asymmetry in the power industry: Mandatory and voluntary information disclosure regulations of sulfur dioxide emission," Energy Policy, Elsevier, vol. 45(C), pages 704-713.
    9. Brouhle, Keith & Griffiths, Charles & Wolverton, Ann, 2009. "Evaluating the role of EPA policy levers: An examination of a voluntary program and regulatory threat in the metal-finishing industry," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 166-181, March.
    10. Hoang, Phi Cong & McGuire, William & Prakash, Aseem, 2018. "Reducing Toxic Chemical Pollution in Response to Multiple Information Signals: The 33/50 Voluntary Program and Toxicity Disclosures," Ecological Economics, Elsevier, vol. 146(C), pages 193-202.
    11. Inwon Kang & Hae Seok Jee & Matthew Minsuk Shin, 2018. "Affective Policy Performance Evaluation Model: A Case of an International Trade Policy Implementation," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    12. Brody, Samuel D. & Cash, Sean B. & Dyke, Jennifer & Thornton, Sara, 2006. "Motivations for the forestry industry to participate in collaborative ecosystem management initiatives," Forest Policy and Economics, Elsevier, vol. 8(2), pages 123-134, March.
    13. Abdoul Sam, 2010. "Impact of government-sponsored pollution prevention practices on environmental compliance and enforcement: evidence from a sample of US manufacturing facilities," Journal of Regulatory Economics, Springer, vol. 37(3), pages 266-286, June.
    14. Thomas P. Lyon & John W. Maxwell, 2007. "Public Voluntary Programs Reconsidered," Working Papers 2007-07, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    15. Pizer, William A. & Morgenstern, Richard & Shih, Jhih-Shyang, 2010. "Evaluating Voluntary Climate Programs in the United States," RFF Working Paper Series dp-08-13-rev, Resources for the Future.
    16. Pizer, William A. & Morgenstern, Richard & Shih, Jhih-Shyang, 2011. "The performance of industrial sector voluntary climate programs: Climate Wise and 1605(b)," Energy Policy, Elsevier, vol. 39(12), pages 7907-7916.
    17. Fowlie, Meredith & Wiser, Ryan & Chapman, Duane, 2001. "Supporting Public Goods with Voluntary Programs: Non-Residential Demand for Green Power," Working Papers 127660, Cornell University, Department of Applied Economics and Management.
    18. Michael W. Toffel, 2008. "Coerced Confessions: Self-Policing in the Shadow of the Regulator," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 24(1), pages 45-71, May.
    19. Walid Ben‐Amar & Mathieu Gomes & Hania Khursheed & Sylvain Marsat, 2022. "Climate change exposure and internal carbon pricing adoption," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 2854-2870, November.
    20. Wiser, Ryan H. & Fowlie, Meredith & Holt, Edward A., 2001. "Public goods and private interests: understanding non-residential demand for green power," Energy Policy, Elsevier, vol. 29(13), pages 1085-1097, November.
    21. Donna Ramirez Harrington, 2013. "Effectiveness Of State Pollution Prevention Programs And Policies," Contemporary Economic Policy, Western Economic Association International, vol. 31(2), pages 255-278, April.
    22. Keith Brouhle & Charles Griffiths & Ann Wolverton, 2004. "The Use of Voluntary Approaches for Environmental Policymaking in the U.S," NCEE Working Paper Series 200405, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised May 2004.
    23. G Capece & F Di Pillo & M Gastaldi & N Levialdi & M Miliacca, 2017. "Examining the effect of managing GHG emissions on business performance," Business Strategy and the Environment, Wiley Blackwell, vol. 26(8), pages 1041-1060, December.
    24. Daniel Matisoff, 2012. "Privatizing Climate Change Policy: Is there a Public Benefit?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 409-433, November.
    25. Kimitaka Nishitani & Katsuhiko Kokubu, 2012. "Why Does the Reduction of Greenhouse Gas Emissions Enhance Firm Value? The Case of Japanese Manufacturing Firms," Business Strategy and the Environment, Wiley Blackwell, vol. 21(8), pages 517-529, December.
    26. Kimitaka Nishitani & Shinji Kaneko & Satoru Komatsu & Hidemichi Fujii, 2011. "Firm's reduction of greenhouse gas emissions and economic performance: analyzing effects through demand and productivity," IDEC DP2 Series 1-1, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
    27. Daniel Matisoff, 2015. "Sources of specification errors in the assessment of voluntary environmental programs: understanding program impacts," Policy Sciences, Springer;Society of Policy Sciences, vol. 48(1), pages 109-126, March.
    28. Claudia Poser & Edeltraud Guenther & Marc Orlitzky, 2012. "Shades of green: using computer-aided qualitative data analysis to explore different aspects of corporate environmental performance," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(4), pages 413-450, January.
    29. Jorge Rivera & Peter Leon, 2005. "Chief executive officers and voluntary environmental performance: Costa Rica's certification for sustainable tourism," Policy Sciences, Springer;Society of Policy Sciences, vol. 38(2), pages 107-127, September.
    30. Steinberger, Julia K. & van Niel, Johan & Bourg, Dominique, 2009. "Profiting from negawatts: Reducing absolute consumption and emissions through a performance-based energy economy," Energy Policy, Elsevier, vol. 37(1), pages 361-370, January.
    31. Silvester Van Koten & Andreas Ortmann, 2013. "Self-regulating organizations under the shadow of governmental oversight: An experimental investigation," Discussion Papers 2013-13, School of Economics, The University of New South Wales.
    32. Huan Li & Neha Khanna & Martina Vidovic, 2018. "The effects of third party certification on voluntary self-regulation of accidents in the U.S. chemical industry," Journal of Regulatory Economics, Springer, vol. 53(3), pages 327-356, June.
    33. Michael W. Toffel & Jodi L. Short, 2011. "Coming Clean and Cleaning Up: Does Voluntary Self-Reporting Indicate Effective Self-Policing?," Journal of Law and Economics, University of Chicago Press, vol. 54(3), pages 609-649.
    34. Xin Wang & Soo-Haeng Cho & Alan Scheller-Wolf, 2021. "Green Technology Development and Adoption: Competition, Regulation, and Uncertainty—A Global Game Approach," Management Science, INFORMS, vol. 67(1), pages 201-219, January.
    35. Janine Maniora, 2018. "Mismanagement of Sustainability: What Business Strategy Makes the Difference? Empirical Evidence from the USA," Journal of Business Ethics, Springer, vol. 152(4), pages 931-947, November.
    36. Seong-Gin Moon & Kilkon Ko, 2013. "Act in Good Faith? The Effectiveness of U.S. Voluntary Environmental Programs," International Review of Public Administration, Taylor & Francis Journals, vol. 18(3), pages 163-184, December.
    37. Silvester Van Koten, 2015. "Self-Regulatory Organizations Under the Shadow of Governmental Oversight: Blossom Or Perish?," RSCAS Working Papers 2015/84, European University Institute.
    38. Nicole Darnall & Joann Carmin, 2005. "Greener and cleaner? The signaling accuracy of U.S. voluntary environmental programs," Policy Sciences, Springer;Society of Policy Sciences, vol. 38(2), pages 71-90, September.
    39. Francesca Di Pillo & Massimo Gastaldi & Nathan Levialdi & Michela Miliacca, 2017. "Environmental Performance Versus Economic-financial Performance: Evidence from Italian Firms," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 98-108.
    40. Sarah L. Stafford, 2008. "How Green is Your Campus? An Analysis of the Factors that Drive Universities to Embrace Sustainability," Working Papers 77, Department of Economics, College of William and Mary, revised 15 Sep 2010.
    41. Kalim Shah & Jorge Rivera, 2013. "Do industry associations influence corporate environmentalism in developing countries? Evidence from Trinidad and Tobago," Policy Sciences, Springer;Society of Policy Sciences, vol. 46(1), pages 39-62, March.
    42. Matthew Potoski & Aseem Prakash, 2005. "Covenants with weak swords: ISO 14001 and facilities' environmental performance," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(4), pages 745-769.
    43. Brouhle, Keith & Graham, Brad & Harrington, Donna Ramirez, 2013. "Innovation under the Climate Wise program," Resource and Energy Economics, Elsevier, vol. 35(2), pages 91-112.
    44. Kimitaka Nishitani & Shinji Kaneko & Satoru Komatsu & Hidemichi Fujii, 2014. "How does a firm’s management of greenhouse gas emissions influence its economic performance? Analyzing effects through demand and productivity in Japanese manufacturing firms," Journal of Productivity Analysis, Springer, vol. 42(3), pages 355-366, December.
    45. Delmas, Magali A. & Montes-Sancho, Maria J., 2011. "U.S. state policies for renewable energy: Context and effectiveness," Energy Policy, Elsevier, vol. 39(5), pages 2273-2288, May.
    46. Magali Delmas & Michael W. Toffel, 2004. "Stakeholders and environmental management practices: an institutional framework," Business Strategy and the Environment, Wiley Blackwell, vol. 13(4), pages 209-222, July.
    47. Werner Antweiler & Kathryn Harrison, 2007. "Canada's voluntary ARET program: Limited success despite industry cosponsorship," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(4), pages 755-774.
    48. Shawn Pope & Arild Wæraas, 2016. "CSR-Washing is Rare: A Conceptual Framework, Literature Review, and Critique," Journal of Business Ethics, Springer, vol. 137(1), pages 173-193, August.
    49. Shaheen, Susan A. & Bejamin-Chung, Jade & Allen, Denise & Howe-Steiger, Linda, 2009. "Achieving California’s Land Use and Transportation Greenhouse Gas Emission Targets Under AB 32: An Exploration of Potential Policy Processes and Mechanisms," Institute of Transportation Studies, Working Paper Series qt8bm4t7w5, Institute of Transportation Studies, UC Davis.
    50. Nishitani, Kimitaka, 2009. "An empirical study of the initial adoption of ISO 14001 in Japanese manufacturing firms," Ecological Economics, Elsevier, vol. 68(3), pages 669-679, January.

  8. Ruggiero, John & Bretschneider, Stuart, 1998. "The weighted Russell measure of technical efficiency," European Journal of Operational Research, Elsevier, vol. 108(2), pages 438-451, July.

    Cited by:

    1. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    2. Resul TELLI & Zehra Vildan SERIN, 2023. "A Comparative Analysis on Healthcare Spending Efficiency Among the G-8 Countries and Turkey," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 281-302, January.
    3. Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Russell and Slack-Based Measures of Efficiency: A Unifying Framework," CEPA Working Papers Series WP092023, School of Economics, University of Queensland, Australia.
    4. Walter Briec & Laurent Cavaignac & Kristiaan Kerstens, 2020. "Input Efficiency Measures: A Generalized, Encompassing Formulation," Operations Research, INFORMS, vol. 68(6), pages 1836-1849, November.
    5. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Managi, Shunsuke, 2014. "Non-Radial Directional Performance Measurement with Undesirable Outputs," MPRA Paper 57189, University Library of Munich, Germany.
    6. Rolf Färe & Giannis Karagiannis, 2024. "The denominator rule with unit ratio difference," Journal of Productivity Analysis, Springer, vol. 61(2), pages 183-190, April.
    7. Ruggiero, John, 2004. "Performance evaluation when non-discretionary factors correlate with technical efficiency," European Journal of Operational Research, Elsevier, vol. 159(1), pages 250-257, November.
    8. Bifulco, Robert & Bretschneider, Stuart, 2001. "Estimating school efficiency: A comparison of methods using simulated data," Economics of Education Review, Elsevier, vol. 20(5), pages 417-429, October.
    9. Tsutsui, Miki & Goto, Mika, 2009. "A multi-division efficiency evaluation of U.S. electric power companies using a weighted slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 43(3), pages 201-208, September.
    10. Maria Silva Portela & Pedro Borges & Emmanuel Thanassoulis, 2003. "Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies," Journal of Productivity Analysis, Springer, vol. 19(2), pages 251-269, April.

  9. Welch, Eric & Bretschneider, Stuart & Rohrbaugh, John, 1998. "Accuracy of judgmental extrapolation of time series data: Characteristics, causes, and remediation strategies for forecasting," International Journal of Forecasting, Elsevier, vol. 14(1), pages 95-110, March.

    Cited by:

    1. Deschamps, Elaine, 2004. "The impact of institutional change on forecast accuracy: A case study of budget forecasting in Washington State," International Journal of Forecasting, Elsevier, vol. 20(4), pages 647-657.
    2. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    3. Rianne Legerstee & Philip Hans Franses, 2014. "Do Experts’ SKU Forecasts Improve after Feedback?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 69-79, January.
    4. Contadini, Jose F., 2002. "Life Cycle Assessment of Fuel Cell Vehicles - Dealing with Uncertainties," Institute of Transportation Studies, Working Paper Series qt9gz1s67d, Institute of Transportation Studies, UC Davis.
    5. Petropoulos, Fotios & Goodwin, Paul & Fildes, Robert, 2017. "Using a rolling training approach to improve judgmental extrapolations elicited from forecasters with technical knowledge," International Journal of Forecasting, Elsevier, vol. 33(1), pages 314-324.
    6. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.

  10. Robert E. Deyle & Stuart I. Bretschneider, 1995. "Spillovers of state policy innovations: New York's hazardous waste regulatory initiatives," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 14(1), pages 79-106.

    Cited by:

    1. Sebastian Miller & Mauricio Vela, 2013. "Are Environmentally Related Taxes Effective?," Research Department Publications IDB-WP-467, Inter-American Development Bank, Research Department.
    2. Helland, Eric & Whitford, Andrew B., 2003. "Pollution incidence and political jurisdiction: evidence from the TRI," Journal of Environmental Economics and Management, Elsevier, vol. 46(3), pages 403-424, November.
    3. Anna Alberini & Shelby Frost, 2007. "Forcing Firms to Think About the Future: Economic Incentives and the Fate of Hazardous Waste," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 451-474, April.
    4. Jean H. Peretz & Robert A. Bohm & Philip D. Jasienczyk, 1997. "Environmental policy and the reduction of hazardous waste," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 16(4), pages 556-574.

  11. Bretschneider, Stuart & Gorr, Wilpen, 1992. "Economic, organizational, and political influences on biases in forecasting state sales tax receipts," International Journal of Forecasting, Elsevier, vol. 7(4), pages 457-466, March.

    Cited by:

    1. Björn Kauder & Niklas Potrafke & Christoph Schinke, 2017. "Manipulating Fiscal Forecasts: Evidence from the German States," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 73(2), pages 213-236, June.
    2. Florian Chatagny, 2015. "Incentive Effects of Fiscal Rules on the Finance Minister's Behaviour: Evidence from Revenue Projections in Swiss Cantons," CESifo Working Paper Series 5223, CESifo.
    3. Jochimsen, Beate & Lehmann, Robert, 2017. "On the political economy of national tax revenue forecasts: evidence from OECD countries," Munich Reprints in Economics 55036, University of Munich, Department of Economics.
    4. Steffen Roth & Jari Kaivo-Oja, 2016. "Is the future a political economy? Functional analysis of three leading foresight and futures studies journals," Post-Print hal-01465701, HAL.
    5. Mocan, H. Naci & Azad, Sam, 1995. "Accuracy and rationality of state General Fund Revenue forecasts: Evidence from panel data," International Journal of Forecasting, Elsevier, vol. 11(3), pages 417-427, September.
    6. Stanislav Klazar, 2006. "Tax Revenue Prediction under Condition of Imperfect Control over Tax-Collecting Authority [Predikce daňových příjmů v podmínkách nedokonalé kontroly daňových úřadů]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2006(3), pages 48-62.
    7. Jochimsen, Beate Regina & Lehmann, Robert, 2015. "Do OECD countries cheat with their national tax revenue forecasts?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113089, Verein für Socialpolitik / German Economic Association.
    8. George A. Krause & David E. Lewis & James W. Douglas, 2013. "Politics Can Limit Policy Opportunism in Fiscal Institutions: Evidence from Official General Fund Revenue Forecasts in the American States," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(2), pages 271-295, March.
    9. Fildes, Robert & Bretschneider, Stuart & Collopy, Fred & Lawrence, Michael & Stewart, Doug & Winklhofer, Heidi & Mentzer, John T. & Moon, Mark A., 2003. "Researching Sales Forecasting Practice: Commentaries and authors' response on "Conducting a Sales Forecasting Audit" by M.A. Moon, J.T. Mentzer & C.D. Smith," International Journal of Forecasting, Elsevier, vol. 19(1), pages 27-42.
    10. Welch, Eric & Bretschneider, Stuart & Rohrbaugh, John, 1998. "Accuracy of judgmental extrapolation of time series data: Characteristics, causes, and remediation strategies for forecasting," International Journal of Forecasting, Elsevier, vol. 14(1), pages 95-110, March.
    11. Jiří Šindelář, 2022. "The accuracy of state budget planning: case of the Czech Republic [Úspěšnost plánování státního rozpočtu ČR]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2022(1), pages 35-58.
    12. Krol, Robert, 2013. "Evaluating state revenue forecasting under a flexible loss function," International Journal of Forecasting, Elsevier, vol. 29(2), pages 282-289.

  12. Bretschneider, Stuart I. & Gorr, Wilpen L. & Grizzle, Gloria & Klay, Earle, 1989. "Political and organizational influences on the accuracy of forecasting state government revenues," International Journal of Forecasting, Elsevier, vol. 5(3), pages 307-319.

    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. Thiess Buettner & Bjoern Kauder, 2015. "Political biases despite external expert participation? An empirical analysis of tax revenue forecasts in Germany," Public Choice, Springer, vol. 164(3), pages 287-307, September.
    3. Björn Kauder & Niklas Potrafke & Christoph Schinke, 2017. "Manipulating Fiscal Forecasts: Evidence from the German States," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 73(2), pages 213-236, June.
    4. Florian Chatagny, 2015. "Incentive Effects of Fiscal Rules on the Finance Minister's Behaviour: Evidence from Revenue Projections in Swiss Cantons," CESifo Working Paper Series 5223, CESifo.
    5. MOULIN, Laurent & SALTO, Matteo & SILVESTRINI, Andrea & VEREDAS, David, 2004. "Using intra annual information to forecast the annual state deficits : the case of France," LIDAM Discussion Papers CORE 2004048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Jochimsen, Beate & Lehmann, Robert, 2017. "On the political economy of national tax revenue forecasts: evidence from OECD countries," Munich Reprints in Economics 55036, University of Munich, Department of Economics.
    7. Armstrong, J. Scott, 1996. "Factors affecting new product forecasting accuracy in new firms : William B. Gartner, and Robert J. Thomas, 1993, Journal of Productive Innovation Management, 10, 35-52," International Journal of Forecasting, Elsevier, vol. 12(2), pages 321-322, June.
    8. SILVESTRINI, Andrea & SALTo, Matteo & MOULIN, Laurent & VEREDAS, David, 2009. "Monitoring and forecasting annual public deficit every month: the case of France," LIDAM Reprints CORE 2019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Lawrence, Michael & O'Connor, Marcus, 2005. "Judgmental forecasting in the presence of loss functions," International Journal of Forecasting, Elsevier, vol. 21(1), pages 3-14.
    10. Thomas M Fullerton Jr, 2004. "A Composite Approach to Forecasting State Government Revenues," Public Economics 0408006, University Library of Munich, Germany.
    11. Vasconcelos de Deus, Joseph David Barroso & de Mendonça, Helder Ferreira, 2017. "Fiscal forecasting performance in an emerging economy: An empirical assessment of Brazil," Economic Systems, Elsevier, vol. 41(3), pages 408-419.
    12. Chimilila, Cyril, 2017. "Forecasting Tax Revenue and its Volatility in Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 5(1), January.
    13. Zidong An & Joao Tovar Jalles, 2020. "On the performance of US fiscal forecasts: government vs. private information," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(2), pages 367-391, June.
    14. Lars Jonung & Martin Larch, 2006. "Improving fiscal policy in the EU: the case for independent forecasts [‘Fiscal forecasting: The track record of the IMF, OECD and EC’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 21(47), pages 492-534.
    15. Thiess Büttner & Björn Kauder, 2009. "Revenue Forecasting Practices: Differences across Countries and Consequences for Forecasting Performance," CESifo Working Paper Series 2628, CESifo.
    16. Mr. Stephan Danninger, 2005. "Revenue Forecasts as Performance Targets," IMF Working Papers 2005/014, International Monetary Fund.
    17. Cepparulo, Alessandra & Gastaldi, Francesca & Giuriato, Luisa & Sacchi, Agnese, 2011. "Budgeting versus implementing fiscal policy:the Italian case," MPRA Paper 32474, University Library of Munich, Germany.
    18. Marina Riem, 2017. "Essays on the Behavior of Firms and Politicians," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 73.
    19. Javier J. Perez & Rossana Merola, 2012. "Fiscal forecast errors: governments vs independent agencies?," EcoMod2012 4694, EcoMod.
    20. Mocan, H. Naci & Azad, Sam, 1995. "Accuracy and rationality of state General Fund Revenue forecasts: Evidence from panel data," International Journal of Forecasting, Elsevier, vol. 11(3), pages 417-427, September.
    21. Lekha Chakraborty & Pinaki Chakraborty & Ruzel Shrestha, 2020. "Budget Credibility of Subnational Governments: Analyzing the Fiscal Forecasting Errors of 28 States in India," Economics Working Paper Archive wp_964, Levy Economics Institute.
    22. Mehdi Alaoui Mhammedi, 2016. "Erreurs de prévision budgétaire : Étude exploratoire des causes des excédents budgétaires dans les structures communales au Maroc," Post-Print hal-01901125, HAL.
    23. Jochimsen, Beate Regina & Lehmann, Robert, 2015. "Do OECD countries cheat with their national tax revenue forecasts?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113089, Verein für Socialpolitik / German Economic Association.
    24. de Mendonça, Helder Ferreira & Baca, Adriana Cabrera, 2022. "Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 69-82.
    25. George A. Krause & David E. Lewis & James W. Douglas, 2013. "Politics Can Limit Policy Opportunism in Fiscal Institutions: Evidence from Official General Fund Revenue Forecasts in the American States," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(2), pages 271-295, March.
    26. Chakraborty, Lekha & Chakraborty, Pinaki & Shrestha, Ruzel, 2019. "Budget Credibility of Subnational Governments: Analyzing the Fiscal Forecasting Errors of 28 States in India," Working Papers 19/280, National Institute of Public Finance and Policy.
    27. Goeminne, Stijn & Geys, Benny & Smolders, Carine, 2007. "Political fragmentation and projected tax revenues: evidence from Flemish municipalities [Politische Zersplitterung und erwartete Steuereinnahmen: Empirische Belege aus flämischen Gemeinden]," Discussion Papers, Research Unit: Market Processes and Governance SP II 2007-03, WZB Berlin Social Science Center.
    28. Merola, Rossana & Pérez, Javier J., 2014. "Fiscal Forecast Errors: Governments Versus Independent Agencies?," Papers RB2014/1/1, Economic and Social Research Institute (ESRI).
    29. Welch, Eric & Bretschneider, Stuart & Rohrbaugh, John, 1998. "Accuracy of judgmental extrapolation of time series data: Characteristics, causes, and remediation strategies for forecasting," International Journal of Forecasting, Elsevier, vol. 14(1), pages 95-110, March.
    30. Christoph Schinke, 2016. "Wealth and Politics: Studies on Inter Vivos Transfers and Partisan Effects," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 67.
    31. Mamadou Boukari & Francisco José Veiga, 2018. "Disentangling political and institutional determinants of budget forecast errors: A comparative approach," Post-Print hal-01817910, HAL.
    32. Ha Quyen Ngo & Niklas Potrafke & Marina Riem & Christoph Schinke, 2015. "Ideology and Dissent among Economists: The Joint Economic Forecast of German Economic Research Institutes," CESifo Working Paper Series 5393, CESifo.
    33. Krol, Robert, 2013. "Evaluating state revenue forecasting under a flexible loss function," International Journal of Forecasting, Elsevier, vol. 29(2), pages 282-289.
    34. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    35. Luisa Giuriato & Alessandra Cepparulo & Matteo Barberi, 2016. "Fiscal forecasts and political systems: a legislative budgeting perspective," Public Choice, Springer, vol. 168(1), pages 1-22, July.
    36. JS Armstrong & Fred Collopy, 2004. "Integration of Statistical Methods and Judgment for Time Series," General Economics and Teaching 0412024, University Library of Munich, Germany.
    37. Nada Azmy ElBerry & Stijn Goeminne, 2021. "Fiscal transparency, fiscal forecasting and budget credibility in developing countries," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 144-161, January.

  13. Bretschneider, Stuart I. & Gorr, Wilpen L., 1989. "Special issue on public sector forecasting," International Journal of Forecasting, Elsevier, vol. 5(3), pages 303-304.

    Cited by:

    1. Shagun Srivastava & Madhvendra Misra, 2014. "Developing Evaluation Matrix for Critical Success Factors in Technology Forecasting," Global Business Review, International Management Institute, vol. 15(2), pages 363-380, June.
    2. Davis, Donna F. & Mentzer, John T., 2007. "Organizational factors in sales forecasting management," International Journal of Forecasting, Elsevier, vol. 23(3), pages 475-495.

  14. Bretschneider, Stuart & Schroeder, Larry, 1988. "Evaluation of commercial economic forecasts for use in local government budgeting," International Journal of Forecasting, Elsevier, vol. 4(1), pages 33-43.

    Cited by:

    1. Krol, Robert, 2013. "Evaluating state revenue forecasting under a flexible loss function," International Journal of Forecasting, Elsevier, vol. 29(2), pages 282-289.

  15. Bretschneider, Stuart, 1986. "Estimating forecast variance with exponential smoothing Some new results," International Journal of Forecasting, Elsevier, vol. 2(3), pages 349-355.

    Cited by:

    1. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2022. "Boom-bust cycles and asset market participation waves: Momentum, value, risk and herding," BERG Working Paper Series 177, Bamberg University, Bamberg Economic Research Group.
    2. Babai, M. Zied & Dai, Yong & Li, Qinyun & Syntetos, Aris & Wang, Xun, 2022. "Forecasting of lead-time demand variance: Implications for safety stock calculations," European Journal of Operational Research, Elsevier, vol. 296(3), pages 846-861.
    3. Roberto Dieci & Xue-Zhong He, 2021. "Cross-section instability in financial markets: impatience, extrapolation, and switching," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 727-754, December.

  16. Bretschneider, Stuart & Schroeder, Larry, 1985. "Revenue forecasting, budget setting and risk," Socio-Economic Planning Sciences, Elsevier, vol. 19(6), pages 431-439.

    Cited by:

  17. Marvin B. Mandell & Stuart I. Bretschneider, 1984. "Using Exponential Smoothing To Specify Intervention Models for Interrupted Time Series," Evaluation Review, , vol. 8(5), pages 663-691, October.

    Cited by:

    1. Marvin B. Mandell, 1986. "The Effect of Regionalization On Infant and Early Neonatal Mortality," Evaluation Review, , vol. 10(6), pages 806-829, December.

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