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Michael Creel

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. Michael Creel, 2020. "Inference Using Simulated Neural Moments," Working Papers 1182, Barcelona School of Economics.

    Cited by:

    1. Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.

  2. Michael Creel, 2016. "Neural Nets for Indirect Inference," Working Papers 942, Barcelona School of Economics.

    Cited by:

    1. Thomas Cook, 2019. "Macroeconomic Indicator Forecasting with Deep Neural Networks," 2019 Meeting Papers 402, Society for Economic Dynamics.
    2. Sweta Rai & Alexis Hoffman & Soumendra Lahiri & Douglas W. Nychka & Stephan R. Sain & Soutir Bandyopadhyay, 2024. "Fast parameter estimation of generalized extreme value distribution using neural networks," Environmetrics, John Wiley & Sons, Ltd., vol. 35(3), May.
    3. Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
    4. Ernesto Carrella, 2021. "No Free Lunch when Estimating Simulation Parameters," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(2), pages 1-7.

  3. Michael Creel & Jiti Gao & Han Hong & Dennis Kristensen, 2016. "Bayesian Indirect Inference and the ABC of GMM," Monash Econometrics and Business Statistics Working Papers 1/16, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
    2. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.

  4. Michael Creel & Dennis Kristensen, 2013. "Indirect Likelihood Inference (revised)," UFAE and IAE Working Papers 931.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

    Cited by:

    1. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    2. Martin M Andreasen & Jesús Fernández-Villaverde & Juan F Rubio-Ramírez, 2018. "The Pruned State-Space System for Non-Linear DSGE Models: Theory and Empirical Applications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 1-49.
    3. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    4. Michael Creel & Dennis Kristensen, 2015. "On Selection of Statistics for Approximate Bayesian Computing or the Method of Simulated Moments," UFAE and IAE Working Papers 950.15, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 27 Feb 2015.
    5. Bertl Johanna & Ewing Gregory & Kosiol Carolin & Futschik Andreas, 2017. "Approximate maximum likelihood estimation for population genetic inference," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(5-6), pages 291-312, December.
    6. Blasques, Francisco & Duplinskiy, Artem, 2018. "Penalized indirect inference," Journal of Econometrics, Elsevier, vol. 205(1), pages 34-54.
    7. Valerio Scalone, 2015. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working Papers 6/15, Sapienza University of Rome, DISS.
    8. Michael Creel & Dennis Kristensen, 2014. "ABC of SV: Limited Information Likelihood Inference in Stochastic Volatility Jump-Diffusion Models," CREATES Research Papers 2014-30, Department of Economics and Business Economics, Aarhus University.
    9. Michael Creel, 2016. "A Note on Julia and MPI, with Code Examples," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 535-546, October.

  5. Michael Creel & Sonik Mandal & Mohammad Zubair, 2012. "Econometrics on GPUs," UFAE and IAE Working Papers 921.12, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

    Cited by:

    1. Oancea, Bogdan, 2014. "Parallel Computing in Economics - An Overview of the Software Frameworks," MPRA Paper 72039, University Library of Munich, Germany.
    2. Nalan Baştürk & Stefano Grassi & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Parallelization Experience with Four Canonical Econometric Models Using ParMitISEM," Econometrics, MDPI, vol. 4(1), pages 1-20, March.
    3. Michael Creel & Dennis Kristensen, 2014. "ABC of SV: Limited Information Likelihood Inference in Stochastic Volatility Jump-Diffusion Models," CREATES Research Papers 2014-30, Department of Economics and Business Economics, Aarhus University.

  6. Michael Creel & Dennis Kristensen, 2011. "Indirect likelihood inference," UFAE and IAE Working Papers 874.11, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

    Cited by:

    1. Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
    2. Michael Creel & Jiti Gao & Han Hong & Dennis Kristensen, 2016. "Bayesian Indirect Inference and the ABC of GMM," Monash Econometrics and Business Statistics Working Papers 1/16, Monash University, Department of Econometrics and Business Statistics.
    3. Jiti Gao & Han Hong, 2014. "A Computational Implementation of GMM," Monash Econometrics and Business Statistics Working Papers 24/14, Monash University, Department of Econometrics and Business Statistics.
    4. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    5. Aldrich, EM, 2014. "GPU Computing in Economics," Santa Cruz Department of Economics, Working Paper Series qt8p12748g, Department of Economics, UC Santa Cruz.
    6. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    7. Michael Creel & Dennis Kristensen, 2015. "On Selection of Statistics for Approximate Bayesian Computing or the Method of Simulated Moments," UFAE and IAE Working Papers 950.15, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 27 Feb 2015.
    8. Creel, Michael, 2017. "Neural nets for indirect inference," Econometrics and Statistics, Elsevier, vol. 2(C), pages 36-49.
    9. Bertl Johanna & Ewing Gregory & Kosiol Carolin & Futschik Andreas, 2017. "Approximate maximum likelihood estimation for population genetic inference," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(5-6), pages 291-312, December.
    10. Michael Creel, 2016. "Neural Nets for Indirect Inference," UFAE and IAE Working Papers 960.16, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 18 Jul 2016.
    11. Valerio Scalone, 2015. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working Papers 6/15, Sapienza University of Rome, DISS.
    12. Michael Creel & Dennis Kristensen, 2014. "ABC of SV: Limited Information Likelihood Inference in Stochastic Volatility Jump-Diffusion Models," CREATES Research Papers 2014-30, Department of Economics and Business Economics, Aarhus University.
    13. Michael Creel & Dennis Kristensen, 2013. "Indirect Likelihood Inference (revised)," UFAE and IAE Working Papers 931.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    14. Michael Creel, 2016. "A Note on Julia and MPI, with Code Examples," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 535-546, October.

  7. Michael Creel, 2003. "Econometrics," UFAE and IAE Working Papers 575.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 23 Oct 2015.

    Cited by:

    1. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
    2. L. Pozzi & F. Heylen & M. Dossche, 2002. "Government debt and the excess sensitivity of private consumption to current income: an empirical analysis for OECD countries," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/155, Ghent University, Faculty of Economics and Business Administration.
    3. Lavan Mahadeva & Javier Gómez Pineda, 2009. "The international cycle and Colombian monetary policy," Borradores de Economia 5406, Banco de la Republica.

  8. Creel, M. & Loomis, J., 1995. "Semi-Nonparametric Distribution-Free Dichotomous Choice Contingent Valuation," UFAE and IAE Working Papers 273.94, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

    Cited by:

    1. Cooper, Joseph C., 2002. "Flexible Functional Form Estimation of Willingness to Pay Using Dichotomous Choice Data," Journal of Environmental Economics and Management, Elsevier, vol. 43(2), pages 267-279, March.
    2. Álvarez Díaz, Marcos & González Gómez, Manuel & Saavedra González, Ángeles & De Uña Álvarez, Jacobo, 2010. "On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming," Journal of Forest Economics, Elsevier, vol. 16(2), pages 145-156, April.
    3. Carson, Richard T. & Hanemann, W. Michael, 2006. "Contingent Valuation," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 17, pages 821-936, Elsevier.
    4. Arthur Lewbel & Oliver Linton, 2003. "Nonparametric estimation of homothetic and homothetically separable functions," CeMMAP working papers CWP14/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. John Crooker & Joseph Herriges, 2004. "Parametric and Semi-Nonparametric Estimation of Willingness-to-Pay in the Dichotomous Choice Contingent Valuation Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 451-480, April.
    6. Pere Riera & Raúl Brey & Guillermo Gándara, 2008. "Bid design for non-parametric contingent valuation with a single bounded dichotomous choice format," Hacienda Pública Española / Review of Public Economics, IEF, vol. 186(3), pages 43-60, October.
    7. Shaikh, Sabina L., 1998. "A Whale Of A Good Time: Exploring Flexibility In The Recreation Demand Model," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20826, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Henry, Miguel & Mittelhammer, Ron & Loomis, John, 2018. "An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes," MPRA Paper 89842, University Library of Munich, Germany.
    9. Halkos, George, 2012. "The use of contingent valuation in assessing marine and coastal ecosystems’ water quality: A review," MPRA Paper 42183, University Library of Munich, Germany.
    10. Eriksen, Michael D. & Kniesner, Thomas J. & Rohlfs, Chris & Sullivan, Ryan, 2016. "Toward more general hedonic estimation: Clarifying the roles of alternative experimental designs with an application to a housing attribute," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 54-62.
    11. Ye, Xin & Garikapati, Venu M. & You, Daehyun & Pendyala, Ram M., 2017. "A practical method to test the validity of the standard Gumbel distribution in logit-based multinomial choice models of travel behavior," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 173-192.
    12. Czajkowski, Mikołaj & Zawojska, Ewa & Meade, Norman & da Motta, Ronaldo Seroa & Welsh, Mike & Ortiz, Ramon Arigoni, 2024. "On the inference about a willingness-to-pay distribution using contingent valuation data," Ecological Economics, Elsevier, vol. 222(C).
    13. Cooper, Joseph C. & Hanemann, W. Michael & Signorello, Giovanni, 2001. "One-and-One-Half Bound Dichotomous Choice Contingent Valuation," CUDARE Working Papers 25003, University of California, Berkeley, Department of Agricultural and Resource Economics.
    14. Arthur Lewbel & Daniel McFadden & Oliver Linton, 1997. "Estimating Features of a Distribution from Binomial Data," Boston College Working Papers in Economics 442, Boston College Department of Economics, revised 01 Jul 2010.
    15. John R. Crooker & Aju J. Fenn, 2008. "Estimating Local Welfare Generated by a Professional Sports Team: An Application to the Minnesota Vikings under Threat of Relocation," Working Papers 0805, University of Central Missouri, Department of Economics & Finance, revised May 2008.
    16. Anna Alberini, 2004. "Robustness of VSL Values from Contingent Valuation Surveys," Working Papers 2004.135, Fondazione Eni Enrico Mattei.
    17. Cooper, Joseph C., 2001. "A Joint Framework for Analysis of Agri-Environmental Payment Programs," 2001 Annual meeting, August 5-8, Chicago, IL 20493, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Marcos Alvarez Díaz & Manuel González Gómez, 2003. "Modelización semiparamétrica y validación teórica del método de valoración contingente. Aplicación de un algoritmo genético," Hacienda Pública Española / Review of Public Economics, IEF, vol. 164(1), pages 29-47, march.
    19. Berrens, Robert P. & Jenkins-Smith, Hank & Bohara, Alok K. & Silva, Carol L., 2002. "Further Investigation of Voluntary Contribution Contingent Valuation: Fair Share, Time of Contribution, and Respondent Uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 144-168, July.
    20. Steven M. Ramsey & Jason S. Bergtold, 2021. "Examining Inferences from Neural Network Estimators of Binary Choice Processes: Marginal Effects, and Willingness-to-Pay," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1137-1165, December.
    21. Brett Day, 2007. "Distribution-free estimation with interval-censored contingent valuation data: troubles with Turnbull?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(4), pages 777-795, August.
    22. Creel, Michael, 1998. "A Note on Consistent Estimation of Mean WTP Using a Misspecified Logit Contingent Valuation Model," Journal of Environmental Economics and Management, Elsevier, vol. 35(3), pages 277-284, May.
    23. Beeramoole, Prithvi Bhat & Arteaga, Cristian & Pinz, Alban & Haque, Md Mazharul & Paz, Alexander, 2023. "Extensive hypothesis testing for estimation of mixed-Logit models," Journal of choice modelling, Elsevier, vol. 47(C).
    24. Riccardo Scarpa, 2000. "Contingent Valuation Versus Choice Experiments: Estimating the Benefits of Environmentally Sensitive Areas in Scotland: Comment," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(1), pages 122-128, January.
    25. Joseph Cooper & Giovanni Signorello, 2008. "Farmer Premiums for the Voluntary Adoption of Conservation Plans," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 51(1), pages 1-14.
    26. Evelyne Valentine Setoun Sissinto-Gbenou & Ygue Patrice Adegbola & Segla Roch Cedrique Zossou & Baudelaire Yannick Fabius Kouton-Bognon & Gauthier Biaou, 2022. "Adoption and disadoption of the improved clay granary for maize storage: evidence from the northern and central regions of Benin," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1459-1474, December.
    27. Silvia Ferrini & Carlo Fezzi, 2012. "Generalized Additive Models for Nonmarket Valuation via Revealed or Stated Preference Methods," Land Economics, University of Wisconsin Press, vol. 88(4), pages 782-802.
    28. Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    29. Sabina L. Shaikh & Douglas M. Larson, 2003. "A Two-Constraint Almost Ideal Demand Model of Recreation and Donations," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 953-961, November.
    30. Rohlfs, Chris & Sullivan, Ryan & Kniesner, Thomas J., 2013. "Hedonic Estimation under Very General Conditions Using Experimental and Quasi-Experimental Designs," IZA Discussion Papers 7554, Institute of Labor Economics (IZA).
    31. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    32. Masahide Watanabe & Kota Asano, 2009. "Distribution Free Consistent Estimation of Mean WTP in Dichotomous Choice Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(1), pages 1-10, September.
    33. Jorge E. Arana & Carmelo J. Leon, 2004. "Baysian Flexible Mixture Distribution Modelling of Dichotomous Choice Contingent Valuation with Heterogeneity," Econometric Society 2004 North American Summer Meetings 568, Econometric Society.
    34. Víctor Gómez-Valenzuela & Francisco Alpízar & Katerin Ramirez & Solhanlle Bonilla-Duarte & Harro van Lente, 2021. "At a Conservation Crossroad: The Bahoruco-Jaragua-Enriquillo Biosphere Reserve in the Dominican Republic," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    35. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123432, Agricultural and Applied Economics Association.
    36. Huang, Ju-Chin & Nychka, Douglas W. & Smith, V. Kerry, 2008. "Semi-parametric discrete choice measures of willingness to pay," Economics Letters, Elsevier, vol. 101(1), pages 91-94, October.
    37. Arana, Jorge E. & Leon, Carmelo J., 2005. "Flexible mixture distribution modeling of dichotomous choice contingent valuation with heterogenity," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 170-188, July.
    38. Raul Brey & Jose Luis Pinto-Prades, 2017. "Age effects in mortality risk valuation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(7), pages 921-932, September.
    39. Satimanon, Monthien & Lupi, Frank, 2010. "Comparison of Approaches to Estimating Demand for Payment for Environmental Services," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61288, Agricultural and Applied Economics Association.
    40. Arthur Lewbel & Oliver Linton, 2003. "Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions," Boston College Working Papers in Economics 585, Boston College Department of Economics, revised 04 Sep 2006.
    41. Gómez-Valenzuela, Víctor & Alpízar, Francisco & Bonilla, Solhanlle & Franco-Billini, Carol, 2020. "Mining conflict in the Dominican Republic: The case of Loma Miranda," Resources Policy, Elsevier, vol. 66(C).
    42. Kerr, Geoffrey N., 2000. "Dichotomous choice contingent valuation probability distributions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(2), pages 1-20.

Articles

  1. Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
    See citations under working paper version above.
  2. Creel, Michael, 2017. "Neural nets for indirect inference," Econometrics and Statistics, Elsevier, vol. 2(C), pages 36-49.
    See citations under working paper version above.
  3. Michael Creel & Montserrat Farell, 2016. "On the Production of Cognitive Achievement and Gaps in Test Scores," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(2), pages 228-247, April.

    Cited by:

    1. Xu, Lei & Tani, Massimiliano & Zhu, Yu, 2024. "Can the Teaching Style Reduce Inequality in the Classroom? Evidence from a Quasi-Experiment," IZA Discussion Papers 17135, Institute of Labor Economics (IZA).

  4. Creel, Michael & Kristensen, Dennis, 2016. "On selection of statistics for approximate Bayesian computing (or the method of simulated moments)," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 99-114.

    Cited by:

    1. Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
    2. Michael Creel & Jiti Gao & Han Hong & Dennis Kristensen, 2016. "Bayesian Indirect Inference and the ABC of GMM," Monash Econometrics and Business Statistics Working Papers 1/16, Monash University, Department of Econometrics and Business Statistics.
    3. Vincent Boucher, 2017. "The Estimation of Network Formation Games with Positive Spillovers," Cahiers de recherche 1710, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    4. Creel, Michael, 2017. "Neural nets for indirect inference," Econometrics and Statistics, Elsevier, vol. 2(C), pages 36-49.
    5. Michael Creel, 2016. "Neural Nets for Indirect Inference," UFAE and IAE Working Papers 960.16, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 18 Jul 2016.
    6. Boucher, Vincent, 2020. "Equilibrium homophily in networks," European Economic Review, Elsevier, vol. 123(C).

  5. Michael Creel, 2016. "A Note on Julia and MPI, with Code Examples," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 535-546, October.

    Cited by:

    1. Yi-Ting Chen & Edward W. Sun & Yi-Bing Lin, 2020. "Machine learning with parallel neural networks for analyzing and forecasting electricity demand," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 569-597, August.

  6. Creel, Michael & Kristensen, Dennis, 2015. "ABC of SV: Limited information likelihood inference in stochastic volatility jump-diffusion models," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 85-108.

    Cited by:

    1. Kanaya, Shin & Kristensen, Dennis, 2016. "Estimation Of Stochastic Volatility Models By Nonparametric Filtering," Econometric Theory, Cambridge University Press, vol. 32(4), pages 861-916, August.
    2. David T. Frazier & Gael M. Martin & Ruben Loaiza-Maya, 2022. "Variational Bayes in State Space Models: Inferential and Predictive Accuracy," Monash Econometrics and Business Statistics Working Papers 1/22, Monash University, Department of Econometrics and Business Statistics.
    3. Jan Pospíšil & Tomáš Sobotka & Philipp Ziegler, 2019. "Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure," Empirical Economics, Springer, vol. 57(6), pages 1935-1958, December.
    4. Gael M. Martin & Brendan P.M. McCabe & Worapree Maneesoonthorn & Christian P. Robert, 2014. "Approximate Bayesian Computation in State Space Models," Monash Econometrics and Business Statistics Working Papers 20/14, Monash University, Department of Econometrics and Business Statistics.
    5. D T Frazier & G M Martin & C P Robert & J Rousseau, 2018. "Asymptotic properties of approximate Bayesian computation," Biometrika, Biometrika Trust, vol. 105(3), pages 593-607.
    6. Gael M. Martin & Brendan P.M. McCabe & David T. Frazier & Worapree Maneesoonthorn & Christian P. Robert, 2016. "Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models," Monash Econometrics and Business Statistics Working Papers 09/16, Monash University, Department of Econometrics and Business Statistics.
    7. Hsiang-Hsi Liu & Yu-Cheng Lin, 2021. "Relationships among US S&P500 Stock Index, its Futures and NASDAQ Index Futures with Volatility Spillover and Jump Diffusion: Modeling and Hedging Performance," Bulletin of Applied Economics, Risk Market Journals, vol. 8(1), pages 121-148.
    8. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
    9. Chaya Weerasinghe & Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier, 2023. "ABC-based Forecasting in State Space Models," Monash Econometrics and Business Statistics Working Papers 12/23, Monash University, Department of Econometrics and Business Statistics.
    10. Michael Creel & Dennis Kristensen, 2015. "On Selection of Statistics for Approximate Bayesian Computing or the Method of Simulated Moments," UFAE and IAE Working Papers 950.15, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 27 Feb 2015.
    11. Frazier, David T. & Maneesoonthorn, Worapree & Martin, Gael M. & McCabe, Brendan P.M., 2019. "Approximate Bayesian forecasting," International Journal of Forecasting, Elsevier, vol. 35(2), pages 521-539.
    12. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    13. Creel, Michael, 2017. "Neural nets for indirect inference," Econometrics and Statistics, Elsevier, vol. 2(C), pages 36-49.
    14. Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
    15. David T. Frazier & Gael M. Martin & Christian P. Robert, 2015. "On Consistency of Approximate Bayesian Computation," Monash Econometrics and Business Statistics Working Papers 19/15, Monash University, Department of Econometrics and Business Statistics.
    16. Jan Posp'iv{s}il & Tom'av{s} Sobotka & Philipp Ziegler, 2019. "Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure," Papers 1912.06709, arXiv.org.
    17. Michael Creel, 2016. "A Note on Julia and MPI, with Code Examples," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 535-546, October.

  7. Michael Creel & Dennis Kristensen, 2012. "Estimation of dynamic latent variable models using simulated non‐parametric moments," Econometrics Journal, Royal Economic Society, vol. 15(3), pages 490-515, October.

    Cited by:

    1. Song, Zefang & Song, Xinyuan & Li, Yuan, 2023. "Bayesian Analysis of ARCH-M model with a dynamic latent variable," Econometrics and Statistics, Elsevier, vol. 28(C), pages 47-62.
    2. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    3. Tierney, Heather L.R., 2009. "A Local Examination for Persistence in Exclusions-from-Core Measures of Inflation Using Real-Time Data," MPRA Paper 13383, University Library of Munich, Germany, revised 03 Feb 2009.
    4. Tierney, Heather L.R., 2009. "Evaluating Exclusion-from-Core Measures of Inflation using Real-Time Data," MPRA Paper 17856, University Library of Munich, Germany.
    5. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    6. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    7. Heather L. R. Tierney, 2012. "Examining the ability of core inflation to capture the overall trend of total inflation," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 493-514, February.
    8. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
    9. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    10. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    11. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    12. Michael Creel & Dennis Kristensen, 2014. "ABC of SV: Limited Information Likelihood Inference in Stochastic Volatility Jump-Diffusion Models," CREATES Research Papers 2014-30, Department of Economics and Business Economics, Aarhus University.
    13. Mike G. Tsionas & Subal C. Kumbhakar, 2023. "Efficiency Measurement in Norwegian Electricity Distribution: A Generalized Four-Way-Error-Component Stochastic Frontier Model," The Energy Journal, , vol. 44(2), pages 181-204, March.
    14. Agnieszka Leszczynska, 2014. "Willingness to Pay for Green Products vs Ecological Value System," International Journal of Synergy and Research, ToKnowPress, vol. 3(1), pages 67-77.
    15. Michael Creel & Dennis Kristensen, 2013. "Indirect Likelihood Inference (revised)," UFAE and IAE Working Papers 931.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    16. Michael Creel, 2016. "A Note on Julia and MPI, with Code Examples," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 535-546, October.

  8. Michael Creel & Montserrat Farell, 2008. "Usage and valuation of natural parks in Catalonia, 2001-2002," Investigaciones Economicas, Fundación SEPI, vol. 32(1), pages 5-25, January.

    Cited by:

    1. López-Mosquera, Natalia & Sánchez, Mercedes, 2011. "The influence of personal values in the economic-use valuation of peri-urban green spaces: An application of the means-end chain theory," Tourism Management, Elsevier, vol. 32(4), pages 875-889.
    2. López-Mosquera, Natalia & Sánchez, Mercedes, 2013. "Income effects on visitors' decision structure in a suburban natural area," Forest Policy and Economics, Elsevier, vol. 26(C), pages 102-110.
    3. Depietri, Yaella & Kallis, Giorgos & Baró, Francesc & Cattaneo, Claudio, 2016. "The urban political ecology of ecosystem services: The case of Barcelona," Ecological Economics, Elsevier, vol. 125(C), pages 83-100.

  9. Michael Creel, 2008. "Some possible pitfalls of parametric inference (in Russian)," Quantile, Quantile, issue 4, pages 1-6, March.

    Cited by:

    1. Agatha M. Poroshina, 2014. "Credit Risk Modeling Of Residential Mortgage Lending In Russia," HSE Working papers WP BRP 30/FE/2014, National Research University Higher School of Economics.

  10. Michael Creel, 2008. "Using Parallelization to Solve a Macroeconomic Model: A Parallel Parameterized Expectations Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 343-352, November.

    Cited by:

    1. Yi-Ting Chen & Edward W. Sun & Yi-Bing Lin, 2020. "Machine learning with parallel neural networks for analyzing and forecasting electricity demand," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 569-597, August.
    2. Kenneth Judd & Lilia Maliar & Serguei Maliar, 2009. "Numerically Stable Stochastic Simulation Approaches for Solving Dynamic Economic Models," NBER Working Papers 15296, National Bureau of Economic Research, Inc.
    3. Lilia Maliar, 2015. "Assessing gains from parallel computation on a supercomputer," Economics Bulletin, AccessEcon, vol. 35(1), pages 159-167.

  11. Michael Creel & William Goffe, 2008. "Multi-core CPUs, Clusters, and Grid Computing: A Tutorial," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 353-382, November.

    Cited by:

    1. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Parallel Sequential Monte Carlo for Efficient Density Combination: The Deco Matlab Toolbox," CREATES Research Papers 2013-09, Department of Economics and Business Economics, Aarhus University.
    2. Morozov, Sergei & Mathur, Sudhanshu, 2009. "Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control," MPRA Paper 30298, University Library of Munich, Germany, revised 04 Apr 2011.
    3. Sergei Morozov & Sudhanshu Mathur, 2012. "Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control," Computational Economics, Springer;Society for Computational Economics, vol. 40(2), pages 151-182, August.
    4. Michael C. Hatcher & Eric M. Scheffel, 2016. "Solving the Incomplete Markets Model in Parallel Using GPU Computing and the Krusell–Smith Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 569-591, December.
    5. Matt P. Dziubinski & Stefano Grassi, 2012. "Heterogeneous Computing in Economics: A Simplified Approach," CREATES Research Papers 2012-15, Department of Economics and Business Economics, Aarhus University.
    6. Lilia Maliar, 2015. "Assessing gains from parallel computation on a supercomputer," Economics Bulletin, AccessEcon, vol. 35(1), pages 159-167.
    7. Bogdan OANCEA & Tudorel ANDREI & Raluca DRAGOESCU, 2012. "Cuda Based Computational Methods For Macroeconomic Forecasts," New Trends in Modelling and Economic Forecast (MEF 2011), ROMANIAN ACADEMY – INSTITUTE FOR ECONOMIC FORECASTING;"Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 1(1), pages 42-53, January.
    8. Dimitris Kremmydas & M.I. Haque & Stelios Rozakis, 2011. "Enhancing Web-Spatial DSS interactivity with parallel computing: The case of bio-energy economic assessment in Greece," Working Papers 2011-2, Agricultural University of Athens, Department Of Agricultural Economics.
    9. Yongyang Cai & Kenneth L. Judd & Greg Thain & Stephen J. Wright, 2013. "Solving Dynamic Programming Problems on a Computational Grid," NBER Working Papers 18714, National Bureau of Economic Research, Inc.
    10. Michael Creel, 2016. "A Note on Julia and MPI, with Code Examples," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 535-546, October.

  12. Michael Creel, 2007. "I ran four million probits last night: HPC clustering with ParallelKnoppix," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 215-223.

    Cited by:

    1. A. Talha Yalta & Riccardo Lucchetti, 2008. "The GNU|Linux platform and freedom respecting software for economists," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 279-286.
    2. Oancea, Bogdan, 2014. "Parallel Computing in Economics - An Overview of the Software Frameworks," MPRA Paper 72039, University Library of Munich, Germany.
    3. Michael Creel, 2008. "Using Parallelization to Solve a Macroeconomic Model: A Parallel Parameterized Expectations Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 343-352, November.
    4. William L. Goffe & Michael Creel, 2005. "Multi-core CPUs, Clusters and Grid Computing: a Tutorial," Computing in Economics and Finance 2005 438, Society for Computational Economics.
    5. Michael S. Delgado & Christopher F. Parmeter, 2013. "Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility," Working Papers 2013-06, University of Miami, Department of Economics.
    6. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
    7. Michael Creel, 2009. "A Data Mining Approach to Indirect Inference," UFAE and IAE Working Papers 788.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 25 Oct 2009.

  13. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 107-128, October.

    Cited by:

    1. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Parallel Sequential Monte Carlo for Efficient Density Combination: The Deco Matlab Toolbox," CREATES Research Papers 2013-09, Department of Economics and Business Economics, Aarhus University.
    2. Oancea, Bogdan, 2014. "Parallel Computing in Economics - An Overview of the Software Frameworks," MPRA Paper 72039, University Library of Munich, Germany.
    3. Michael Creel, 2008. "Using Parallelization to Solve a Macroeconomic Model: A Parallel Parameterized Expectations Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 343-352, November.
    4. William L. Goffe & Michael Creel, 2005. "Multi-core CPUs, Clusters and Grid Computing: a Tutorial," Computing in Economics and Finance 2005 438, Society for Computational Economics.
    5. Donghoon Lee & Matthew Wiswall, 2007. "A Parallel Implementation of the Simplex Function Minimization Routine," Computational Economics, Springer;Society for Computational Economics, vol. 30(2), pages 171-187, September.
    6. Michael S. Delgado & Christopher F. Parmeter, 2013. "Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility," Working Papers 2013-06, University of Miami, Department of Economics.
    7. Morozov, Sergei & Mathur, Sudhanshu, 2009. "Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control," MPRA Paper 30298, University Library of Munich, Germany, revised 04 Apr 2011.
    8. Kyle Klein & Julian Neira, 2014. "Nelder-Mead Simplex Optimization Routine for Large-Scale Problems: A Distributed Memory Implementation," Computational Economics, Springer;Society for Computational Economics, vol. 43(4), pages 447-461, April.
    9. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    10. Sergei Morozov & Sudhanshu Mathur, 2012. "Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control," Computational Economics, Springer;Society for Computational Economics, vol. 40(2), pages 151-182, August.
    11. Matt P. Dziubinski & Stefano Grassi, 2012. "Heterogeneous Computing in Economics: A Simplified Approach," CREATES Research Papers 2012-15, Department of Economics and Business Economics, Aarhus University.
    12. Michael Creel, 2008. "Estimation of Dynamic Latent Variable Models Using Simulated Nonparametric Moments," UFAE and IAE Working Papers 725.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 02 Jun 2008.
    13. Lilia Maliar, 2015. "Assessing gains from parallel computation on a supercomputer," Economics Bulletin, AccessEcon, vol. 35(1), pages 159-167.
    14. Mathur, Sudhanshu & Morozov, Sergei, 2009. "Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control," MPRA Paper 16721, University Library of Munich, Germany.
    15. Michael Creel, 2009. "A Data Mining Approach to Indirect Inference," UFAE and IAE Working Papers 788.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 25 Oct 2009.
    16. Yongyang Cai & Kenneth L. Judd & Greg Thain & Stephen J. Wright, 2013. "Solving Dynamic Programming Problems on a Computational Grid," NBER Working Papers 18714, National Bureau of Economic Research, Inc.
    17. Michael Creel, 2016. "A Note on Julia and MPI, with Code Examples," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 535-546, October.
    18. Simon Peters & Ken Clark & Pascal Ekin & Anja Le Blanc & Stephen Pickles, 2007. "Grid Enabling Empirical Economics: A Microdata Application," Computational Economics, Springer;Society for Computational Economics, vol. 30(4), pages 349-370, November.

  14. Michael Creel, 2004. "Modified Hausman tests for inefficient estimators," Applied Economics, Taylor & Francis Journals, vol. 36(21), pages 2373-2376.

    Cited by:

    1. Kevin E. Staub, 2009. "Simple tests for exogeneity of a binary explanatory variable in count data regression models," SOI - Working Papers 0904, Socioeconomic Institute - University of Zurich.
    2. Michael Creel & Montserrat Farell, 2016. "On the Production of Cognitive Achievement and Gaps in Test Scores," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(2), pages 228-247, April.
    3. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    4. Stefano Mainardi, 2021. "Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers’ climate adaptation in Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6869-6912, May.
    5. Michael Creel & Montserrat Farell Ferrer, 2006. "The black-white test score gap widens with age?," UFAE and IAE Working Papers 670.06, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

  15. Creel, Michael & Farell, Montserrat, 2001. "Economies of scale in the US airline industry after deregulation: a Fourier series approximation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(5), pages 321-336, November.

    Cited by:

    1. Kristof De Witte & Elbert Dijkgraaf, 2007. "Mean and Bold?," Tinbergen Institute Discussion Papers 07-092/3, Tinbergen Institute.
    2. Gudmundsson, Sveinn Vidar & Merkert, Rico & Redondi, Renato, 2017. "Cost functions and determinants of unit cost effects in horizontal airline M&As," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 444-454.
    3. Button, Kenneth, 2005. "How Stable are Scheduled Air Transport Markets," Research in Transportation Economics, Elsevier, vol. 13(1), pages 27-48, January.
    4. Akbar, Yusaf & Németh, Adél & Niemeier, Hans-Martin, 2014. "Here we go again…the Permanently Failing Organization: An application to the airline industry in Eastern Europe," Journal of Air Transport Management, Elsevier, vol. 35(C), pages 1-11.
    5. McMullen, B. Starr & Du, Yan, 2007. "The Economic Impact of the ATA/Southwest Airlines Code Share Alliance," 48th Annual Transportation Research Forum, Boston, Massachusetts, March 15-17, 2007 207914, Transportation Research Forum.
    6. Jara-Díaz, Sergio R. & Cortés, Cristián E. & Morales, Gabriela A., 2013. "Explaining changes and trends in the airline industry: Economies of density, multiproduct scale, and spatial scope," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 13-26.
    7. Rafael Moner Colonques & Ricardo Flores Fillol, 2006. "Strategic Effects Of Airline Alliances," Working Papers. Serie AD 2006-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    8. Wojahn, Oliver W., 2012. "Why does the airline industry over-invest?," Journal of Air Transport Management, Elsevier, vol. 19(C), pages 1-8.
    9. Johnston, Ahren & Ozment, John, 2013. "Economies of scale in the US airline industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 51(C), pages 95-108.
    10. Steven, Adams B. & Dong, Yan & Dresner, Martin, 2012. "Linkages between customer service, customer satisfaction and performance in the airline industry: Investigation of non-linearities and moderating effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 743-754.
    11. Du, Yan & McMullen, B. Starr & Kerkvliet, Joe R., 2008. "The economic impact of the ATA/Southwest Airlines code-share agreement," Research in Transportation Economics, Elsevier, vol. 24(1), pages 51-60.
    12. Button, Kenneth, 2003. "Does the theory of the ‘core’ explain why airlines fail to cover their long-run costs of capital?," Journal of Air Transport Management, Elsevier, vol. 9(1), pages 5-14.

  16. Creel, Michael, 1998. "A Note on Consistent Estimation of Mean WTP Using a Misspecified Logit Contingent Valuation Model," Journal of Environmental Economics and Management, Elsevier, vol. 35(3), pages 277-284, May.

    Cited by:

    1. Álvarez Díaz, Marcos & González Gómez, Manuel & Saavedra González, Ángeles & De Uña Álvarez, Jacobo, 2010. "On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming," Journal of Forest Economics, Elsevier, vol. 16(2), pages 145-156, April.
    2. Andrew Mill, Greig & van Rensburg, Tom M. & Hynes, Stephen & Dooley, Conor, 2007. "Preferences for multiple use forest management in Ireland: Citizen and consumer perpectives," Ecological Economics, Elsevier, vol. 60(3), pages 642-653, January.
    3. John Crooker & Joseph Herriges, 2004. "Parametric and Semi-Nonparametric Estimation of Willingness-to-Pay in the Dichotomous Choice Contingent Valuation Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 451-480, April.
    4. Soliño, Mario & Vázquez, María X. & Prada, Albino, 2009. "Social demand for electricity from forest biomass in Spain: Does payment periodicity affect the willingness to pay?," Energy Policy, Elsevier, vol. 37(2), pages 531-540, February.
    5. Marcos Alvarez Díaz & Manuel González Gómez, 2003. "Modelización semiparamétrica y validación teórica del método de valoración contingente. Aplicación de un algoritmo genético," Hacienda Pública Española / Review of Public Economics, IEF, vol. 164(1), pages 29-47, march.
    6. Kofi Britwum & Amalia Yiannaka, 2019. "Labeling food safety attributes: to inform or not to inform?," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-21, December.
    7. Richard Yao & Pamela Kaval, 2008. "Valuing Biodiversity Enhancement in New Zealand," Working Papers in Economics 08/07, University of Waikato.
    8. Cathal Buckley & Stephen Hynes & Tom van Rensburg & Edel Doherty, 2008. "Access to farmland for walking in the Republic of Ireland – The attitude of landowners," Working Papers 0814, Rural Economy and Development Programme,Teagasc.

  17. Creel, Michael & Loomis, John, 1997. "Semi-nonparametric Distribution-Free Dichotomous Choice Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(3), pages 341-358, March.
    See citations under working paper version above.
  18. Michael D. Creel, 1997. "Welfare Estimation Using The Fourier Form: Simulation Evidence For The Recreation Demand Case," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 88-94, February.

    Cited by:

    1. John Crooker & Joseph Herriges, 2004. "Parametric and Semi-Nonparametric Estimation of Willingness-to-Pay in the Dichotomous Choice Contingent Valuation Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 451-480, April.
    2. Shaikh, Sabina L., 1998. "A Whale Of A Good Time: Exploring Flexibility In The Recreation Demand Model," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20826, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Kling, Catherine L., 2000. "Nonparametric Bounds on Welfare Measures: A New Tool for Nonmarket Valuation," Staff General Research Papers Archive 1309, Iowa State University, Department of Economics.
    4. Chotikapanich, Duangkamon & Griffiths, William E., 1998. "Carnarvon Gorge: a comment on the sensitivity of consumer surplus estimation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-13.
    5. Tristan D. Skolrud, 2017. "Reducing Approximation Error in the Fourier Flexible Functional Form," Econometrics, MDPI, vol. 5(4), pages 1-16, December.
    6. Silvia Ferrini & Carlo Fezzi, 2012. "Generalized Additive Models for Nonmarket Valuation via Revealed or Stated Preference Methods," Land Economics, University of Wisconsin Press, vol. 88(4), pages 782-802.
    7. Steven F. Koch & Adl Bosch, 2009. "Inflation and the HouseholdTowards a Measurement of the Welfare Costs of Inflation," Working Papers 3488, South African Reserve Bank.
    8. Sabina L. Shaikh & Douglas M. Larson, 2003. "A Two-Constraint Almost Ideal Demand Model of Recreation and Donations," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 953-961, November.
    9. Aliakbar KHOSRAVINEJAD, 2008. "Welfare Effects of Food Desubsidization For Iranian Urban Households (The Index Number and Demand System Approach)," EcoMod2008 23800063, EcoMod.
    10. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.

  19. Creel, Michael & Farell, Montserrat, 1996. "SUR estimation of multiple time-series models with heteroscedasticity and serial correlation of unknown form," Economics Letters, Elsevier, vol. 53(3), pages 239-245, December.

    Cited by:

    1. Hassan, Sherif, 2016. "Seventy Years of Official Development Assistance: Reflections on the Working Age Population," MPRA Paper 74835, University Library of Munich, Germany.
    2. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
    3. Marina Di Giacomo & Massimiliano Piacenza & Gilberto Turati, 2009. "Are "Flexible" Taxation Mechanisms Effective in Stabilizing Fuel Prices? An Evaluation Considering the Italian Fuel Markets," Working papers 07, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    4. Emilian DOBRESCU, 2021. "Potential Output: A Market Conditionalities Interpretation," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-38, December.
    5. Hailong Qian & Heather L. Bednarek, 2015. "Partial efficient estimation of SUR models," Economics Bulletin, AccessEcon, vol. 35(1), pages 338-348.
    6. Il-Horn Hann & JooHee Oh, 2017. "Combating Prerelease Piracy: Modeling the Effects of Antipiracy Measures in P2P Networks," INFORMS Journal on Computing, INFORMS, vol. 29(1), pages 92-107, February.
    7. Di Giacomo, Marina & Piacenza, Massimiliano & Turati, Gilberto, 2012. "Are “flexible” taxation mechanisms effective in stabilizing fuel prices? An evaluation considering wholesale fuel markets," Energy Economics, Elsevier, vol. 34(4), pages 1176-1186.

  20. Creel, Michael D. & Loomis, John B., 1992. "Modeling hunting demand in the presence of a bag limit, with tests of alternative specifications," Journal of Environmental Economics and Management, Elsevier, vol. 22(2), pages 99-113, March.

    Cited by:

    1. Kling, Catherine L., 1993. "Assessment of the Empirical Magnitude of Option Values for Environmental Goods (An)," Staff General Research Papers Archive 1576, Iowa State University, Department of Economics.
    2. Jeffrey Englin & David Lambert, 1995. "Measuring angling quality in count data models of recreational fishing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 6(4), pages 389-399, December.
    3. Pang, Arwin, 2017. "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting," Journal of Forest Economics, Elsevier, vol. 28(C), pages 12-17.
    4. Bingham, Matthew F. & MacNair, Douglas J. & Dunford, Richard W., 1998. "Mad About Blue: An Empirical Comparison Of Minimum Absolute Deviations And Ordinary Least Squares Estimates Of Consumer Surplus," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20828, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    6. Loomis, John & Griffin, Dana & Wu, Ellen & González-Cabán, Armando, 2002. "Estimating the economic value of big game habitat production from prescribed fire using a time series approach," Journal of Forest Economics, Elsevier, vol. 8(2), pages 119-129.
    7. Arwin Pang, 2022. "Investigating heteroscedasticity using the over-dispersion parameter in a travel cost model," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 507-516, December.
    8. Hueth, Brent & Zivin, Joshua & Zilberman, David, 2000. "Managing a Multiple-Use Resource: The Case of Feral Pig Management in California Rangeland," Staff General Research Papers Archive 5173, Iowa State University, Department of Economics.
    9. Loomis, John & Griffin, Dana & Wu, Ellen & Gonzalez-Caban, Armando, 2001. "Estimating the Economic Value of Big Game Habitat Production from Natural and Prescribed Fire," Western Region Archives 321697, Western Region - Western Extension Directors Association (WEDA).
    10. Ohler, Adrienne & Chouinard, Hayley H. & Yoder, Jonathan K., 2007. "Welfare Trade-offs between Transferable and Non-Transferable Lotteries," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 7363, Western Agricultural Economics Association.
    11. Scrogin, David & Berrens, Robert P. & Bohara, Alok K., 2000. "Policy Changes And The Demand For Lottery-Rationed Big Game Hunting Licenses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-19, December.
    12. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.

  21. Creel, Michael D & Loomis, John B, 1991. "Confidence Intervals for Welfare Measures with Application to a Problem of Truncated Counts," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 370-373, May.

    Cited by:

    1. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    2. Loomis, John B. & Rosenberger, Randall S., 2006. "Reducing barriers in future benefit transfers: Needed improvements in primary study design and reporting," Ecological Economics, Elsevier, vol. 60(2), pages 343-350, December.
    3. Chin†Huang Huang, 2017. "Estimating the environmental effects and recreational benefits of cultivated flower land for environmental quality improvement in Taiwan," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 29-39, January.
    4. Ovaskainen, Ville & Neuvonen, Marjo & Pouta, Eija, 2012. "Modelling recreation demand with respondent-reported driving cost and stated cost of travel time: A Finnish case," Journal of Forest Economics, Elsevier, vol. 18(4), pages 303-317.
    5. John Loomis & Catherine Keske, 2009. "The Economic Value of Novel Means of Ascending High Mountain Peaks: A Travel Cost Demand Model of Pikes Peak Cog Railway Riders, Automobile Users and Hikers," Tourism Economics, , vol. 15(2), pages 426-436, June.
    6. Garcia, Serge & Jacob, Julien, 2010. "La valeur récréative de la forêt en France : une approche par les coûts de déplacement," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 91(1).
    7. O. Ashton Morgan & Gregory S. Martin & William L. Huth, 2009. "Oyster Demand Adjustments to Counter-Information and Source Treatments in Response to Vibrio vulnificus," Working Papers 09-08, Department of Economics, Appalachian State University.
    8. Catherine M.H. Keske & Greta Lohman & John B. Loomis, 2013. "Do Respondents Report Willingness-to-Pay on a per Person or per Group Basis? A High Mountain Recreation Example," Tourism Economics, , vol. 19(1), pages 133-145, February.
    9. Chotikapanich, Duangkamon & Griffiths, William E., 1998. "Carnarvon Gorge: a comment on the sensitivity of consumer surplus estimation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-13.
    10. Ajzenman, Nicolás & Balza, Lenin & Bejarano, Hernan & De Los Rios, Camilo & Gómez Parra, Nicolás, 2023. "Seemingly irrelevant factors and willingness to block polluting investments," IDB Publications (Working Papers) 13325, Inter-American Development Bank.
    11. Uttam Khanal & Clevo Wilson & Shunsuke Managi & Boon Lee & Viet-Ngu Hoang & Robert Gifford, 2018. "Psychological influence on survey incentives: valuing climate change adaptation benefits in agriculture," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 305-324, April.
    12. Loomis, John B. & Yorizane, Shizuka & Larson, Douglas M., 2000. "Testing Significance Of Multi-Destination And Multi-Purpose Trip Effects In A Travel Cost Method Demand Model For Whale Watching Trips," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(2), pages 1-9, October.
    13. Ram Shrestha & John Loomis, 2003. "Meta-Analytic Benefit Transfer of Outdoor Recreation Economic Values: Testing Out-of-Sample Convergent Validity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(1), pages 79-100, May.
    14. Arwin Pang, 2022. "Investigating heteroscedasticity using the over-dispersion parameter in a travel cost model," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 507-516, December.
    15. Tanvir Pavel & Pallab Mozumder, 2019. "Household Preferences for Managing Coastal Vulnerability: State vs. Federal Adaptation Fund," Economics of Disasters and Climate Change, Springer, vol. 3(3), pages 281-304, October.
    16. O. Ashton Morgan & D. Matthew Massey & William L. Huth, 2009. "Demand for Diving on Large Ship Artificial Reefs," Working Papers 09-09, Department of Economics, Appalachian State University.
    17. Prayaga, Prabha, 2017. "Estimating the value of beach recreation for locals in the Great Barrier Reef Marine Park, Australia," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 9-18.
    18. Catherine M. H. Keske & Adam Mayer, 2014. "Visitor Willingness to Pay U.S. Forest Service Recreation Fees in New West Rural Mountain Economies," Economic Development Quarterly, , vol. 28(1), pages 87-100, February.
    19. Isabel Proenca & Isabel Menes, 2000. "Measuring the Average Per Day Net Benefit of Non-consumptive Wildlife - Associated Recreation For a National Park: a Count-Data Travel Cost Approach," Regional and Urban Modeling 283600078, EcoMod.
    20. Isabel Mendes & Isabel Proença, 2009. "Measuring the Social Recreation Per-Day Net Benefit of Wildlife Amenities of a National Park: A Count-Data Travel Cost Approach," Working Papers Department of Economics 2009/35, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    21. English, Donald B.K., 2000. "A Simple Procedure for Generating Confidence Intervals in Tourist Spending Profiles and Resulting Economic Impacts," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 30(1), pages 1-16.
    22. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.

  22. Timothy Park & John B. Loomis & Michael Creel, 1991. "Confidence Intervals for Evaluating Benefits Estimates from Dichotomous Choice Contingent Valuation Studies," Land Economics, University of Wisconsin Press, vol. 67(1), pages 64-73.

    Cited by:

    1. Daniel Mccollum & Kevin Boyle, 2005. "The Effect of Respondent Experience/Knowledge in the Elicitation of Contingent Values: An Investigation of Convergent Validity, Procedural Invariance and Reliability," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(1), pages 23-33, January.
    2. K. McConnell* & I. Strand & Sebastián Valdés, 1998. "Testing Temporal Reliability and Carry-over Effect: The Role of Correlated Responses in Test-retest Reliability Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(3), pages 357-374, October.
    3. Dixie Reaves & Randall Kramer & Thomas Holmes, 1999. "Does Question Format Matter? Valuing an Endangered Species," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 14(3), pages 365-383, October.
    4. Sun, Henglun & Bergstrom, John C. & Dorfman, Jeffrey H., 1992. "Estimating The Benefits Of Groundwater Contamination Control," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(2), pages 1-9, December.
    5. Hermann Pythagore Pierre Donfouet & Pierre-Alexandre Mahieu & P. Wilner Jeanty, 2011. "Dealing with Internal Inconsistency in Double-Bounded Dichotomous Choice: An Application to Community-Based Health Insurance," Economics Working Paper Archive (University of Rennes & University of Caen) 201130, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    6. Kline, Jeffrey D. & Alig, Ralph J. & Johnson, Rebecca L., 2000. "Forest owner incentives to protect riparian habitat," Ecological Economics, Elsevier, vol. 33(1), pages 29-43, April.
    7. Tavárez, Héctor & Elbakidze, Levan, 2019. "Valuing recreational enhancements in the San Patricio Urban Forest of Puerto Rico: A choice experiment approach," Forest Policy and Economics, Elsevier, vol. 109(C).
    8. Loomis, John & Kent, Paula & Strange, Liz & Fausch, Kurt & Covich, Alan, 2000. "Measuring the total economic value of restoring ecosystem services in an impaired river basin: results from a contingent valuation survey," Ecological Economics, Elsevier, vol. 33(1), pages 103-117, April.
    9. Carmelo Javier León, 1995. "El método dicotómico de valoración contingente: una aplicación a los espacios naturales en Gran Canaria," Investigaciones Economicas, Fundación SEPI, vol. 19(1), pages 83-106, January.
    10. John Loomis & Armando Gonzalez‐Caban & Hayley Hesseln, 2004. "Multicultural Evaluation of the Performance of Contingent Valuation for Forest Fire Prevention," Contemporary Economic Policy, Western Economic Association International, vol. 22(3), pages 407-419, July.
    11. Poe, Gregory L. & Giraud, Kelly L. & Loomis, John B., 2001. "Simple Computational Methods for Measuring the Difference of Empirical Distributions: Application to Internal and External Scope Tests in Contingent Valuation," Staff Papers 121130, Cornell University, Department of Applied Economics and Management.
    12. Kotchen, Matthew J. & Reiling, Stephen D., 2000. "Environmental attitudes, motivations, and contingent valuation of nonuse values: a case study involving endangered species," Ecological Economics, Elsevier, vol. 32(1), pages 93-107, January.
    13. Gwendolyn Aldrich & Kristine Grimsrud & Jennifer Thacher & Matthew Kotchen, 2007. "Relating environmental attitudes and contingent values: how robust are methods for identifying preference heterogeneity?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(4), pages 757-775, August.
    14. Paul Mwebaze & Jeff Bennett & Nigel W. Beebe & Gregor J. Devine & Paul Barro, 2018. "Economic Valuation of the Threat Posed by the Establishment of the Asian Tiger Mosquito in Australia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 357-379, October.
    15. Lee L. Schulz & Glynn T. Tonsor, 2010. "Cow‐Calf Producer Preferences for Voluntary Traceability Systems," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 138-162, February.
    16. Xiaolin Ren & Arianto A. Patunru & John B. Braden, 2008. "Language‐Related Differences In Environmental Benefits Estimation: Evidence From A Mail Survey," Contemporary Economic Policy, Western Economic Association International, vol. 26(1), pages 13-31, January.
    17. Balistreri, Edward J. & Poe, Gregory L. & McClelland, Gary H. & Schulze, William D., 1996. "Can Hypothetical Questions Reveal True Values? A Laboratory Comparison of Dichotomous Choice and Open-Ended Contingent Values with Auction Values," Working Papers 127865, Cornell University, Department of Applied Economics and Management.
    18. Kaval, Pamela, 2008. "Is There a Link Between Actual and Perceived Wildfire Danger?," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 37090, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Samnaliev, Mihail & Stevens, Thomas H. & More, Thomas, 2003. "A Comparison Of Cheap Talk And Alternative Certainty Calibration Techniques In Contingent Valuation," Working Paper Series 14517, University of Massachusetts, Amherst, Department of Resource Economics.
    20. Vivien Foster & Susana Mourato, 2003. "Elicitation Format and Sensitivity to Scope," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(2), pages 141-160, February.
    21. Michael Ahlheim & Oliver Frör & Antonia Heinke & Alwin Keil & Nguyen Minh Duc & Pham Van Dinh & Camille Saint-Macary & Manfred Zeller, 2008. "Landslides in mountainous regions of Northern Vietnam: Causes, protection strategies and the assessment of economic losses," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 298/2008, Department of Economics, University of Hohenheim, Germany.
    22. Giraud, Kelly L. & Bond, Craig A. & Bond, Jennifer Keeling, 2005. "Consumer Preferences for Locally Made Specialty Food Products Across Northern New England," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 34(2), pages 1-13, October.
    23. Stephanie A. Snyder & Robert A. Smail, 2009. "Are All-Terrain Vehicle Riders Willing to Pay Trail User Fees to Ride on Public Lands in the USA?," Tourism Economics, , vol. 15(2), pages 437-451, June.
    24. Pinuccia Calia & Elisabetta Strazzera, 2000. "Bias and efficiency of single versus double bound models for contingent valuation studies: a Monte Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 32(10), pages 1329-1336.
    25. Loureiro, Maria L. & Umberger, Wendy J., 2003. "Estimating Consumer Willingness to Pay for Country-of-Origin Labeling," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-15, August.
    26. Loomis, John B. & Gonzalez-Caban, Armando, 1996. "The Importance Of The Market Area Determination For Estimating Aggregate Benefits Of Public Goods: Testing Differences In Resident And Nonresident Willingness To Pay," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(2), pages 1-10, October.
    27. Chang Seung & Daniel Lew, 2013. "Accounting for variation in exogenous shocks in economic impact modeling," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(3), pages 711-730, December.
    28. Dahal, Ram P. & Grala, Robert K. & Gordon, Jason S. & Petrolia, Daniel R. & Munn, Ian A., 2018. "Estimating the willingness to pay to preserve waterfront open spaces using contingent valuation," Land Use Policy, Elsevier, vol. 78(C), pages 614-626.
    29. Loureiro, Maria L. & Umberger, Wendy J., 2002. "Estimating Consumer Willingness-To-Pay For Country Of-Origin-Labels For Beef Products," 2002 Annual meeting, July 28-31, Long Beach, CA 19745, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    30. Halkos, George, 2012. "The use of contingent valuation in assessing marine and coastal ecosystems’ water quality: A review," MPRA Paper 42183, University Library of Munich, Germany.
    31. Catherine M.H. Keske & Greta Lohman & John B. Loomis, 2013. "Do Respondents Report Willingness-to-Pay on a per Person or per Group Basis? A High Mountain Recreation Example," Tourism Economics, , vol. 19(1), pages 133-145, February.
    32. Loomis, John B. & Ekstrand, Earl, 1997. "Economic Benefits Of Critical Habitat For The Mexican Spotted Owl: A Scope Test Using A Multiple-Bounded Contingent Valuation Survey," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(2), pages 1-11, December.
    33. Pamela Kaval & John Loomis & Andrew Seidl, 2006. "Willingness-to-Pay for Prescribed Fire in the Colorado (USA) Wildland Urban Interface," Working Papers in Economics 06/13, University of Waikato.
    34. John Loomis & Cynthia Pierce & Mike Manfredo, 2000. "Using the demand for hunting licences to evaluate contingent valuation estimates of willingness to pay," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 435-438.
    35. John C. Whitehead, 2024. "They doth protest too much, methinks: Reply to “Reply to Whitehead”," Working Papers 24-04, Department of Economics, Appalachian State University.
    36. Arcadio A. Cerda & Leidy Y. García, 2021. "Willingness to Pay for a COVID-19 Vaccine," Applied Health Economics and Health Policy, Springer, vol. 19(3), pages 343-351, May.
    37. Ben Gilbert & Alexander James & Jason Shogren, 2017. "Corporate Apology for Environmental Damage," Working Papers 2017-02, University of Alaska Anchorage, Department of Economics.
    38. Jay Corrigan & Catherine Kling & Jinhua Zhao, 2008. "Willingness to Pay and the Cost of Commitment: An Empirical Specification and Test," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(2), pages 285-298, June.
    39. Rodriguez, Luis C. & Pascual, Unai & Niemeyer, Hermann M., 2006. "Local identification and valuation of ecosystem goods and services from Opuntia scrublands of Ayacucho, Peru," Ecological Economics, Elsevier, vol. 57(1), pages 30-44, April.
    40. Bohara, Alok K. & McKee, Michael & Berrens, Robert P. & Jenkins-Smith, Hank & Silva, Carol L. & Brookshire, David S., 1998. "Effects of Total Cost and Group-Size Information on Willingness to Pay Responses: Open Ended vs. Dichotomous Choice," Journal of Environmental Economics and Management, Elsevier, vol. 35(2), pages 142-163, March.
    41. Dupont, Diane P., 2004. "Do children matter? An examination of gender differences in environmental valuation," Ecological Economics, Elsevier, vol. 49(3), pages 273-286, July.
    42. Czajkowski, Mikolaj & Hanley, Nicholas, 2008. "How to 'Sell' an Environmental Good: Using Labels to Investigate Scope Effects," Stirling Economics Discussion Papers 2008-16, University of Stirling, Division of Economics.
    43. Naghmeh Niroomand & Glenn P. Jenkins, 2016. "A Comparison of Stated Preference Methods for the Valuation of Improvement in Road Safety," Development Discussion Papers 2016-10, JDI Executive Programs.
    44. Samnaliev, Mihail & Stevens, Thomas H. & More, Thomas, 2006. "A comparison of alternative certainty calibration techniques in contingent valuation," Ecological Economics, Elsevier, vol. 57(3), pages 507-519, May.
    45. Ajzenman, Nicolás & Balza, Lenin & Bejarano, Hernan & De Los Rios, Camilo & Gómez Parra, Nicolás, 2023. "Seemingly irrelevant factors and willingness to block polluting investments," IDB Publications (Working Papers) 13325, Inter-American Development Bank.
    46. Robert J. Johnston & RStephen K. Swallow & Dana Marie Bauer, 2002. "Spatial Factors and Stated Preference Values for Public Goods: Considerations for Rural Land Use," Land Economics, University of Wisconsin Press, vol. 78(4), pages 481-500.
    47. Loomis, John B., 2010. "Testing Construct Validity of River Recreation Use Values: A Comparison of Direct Elicitation of Use Values to Use Values Inferred Indirectly from WTP for Total Economic Value," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 60410, Agricultural and Applied Economics Association.
    48. Berrens, Robert P. & Bohara, Alok K. & Jenkins-Smith, Hank & Silva, Carol L. & Ganderton, Philip & Brookshire, David, 1998. "A joint investigation of public support and public values: case of instream flows in New Mexico," Ecological Economics, Elsevier, vol. 27(2), pages 189-203, November.
    49. Berrens, Robert P. & Jenkins-Smith, Hank & Bohara, Alok K. & Silva, Carol L., 2002. "Further Investigation of Voluntary Contribution Contingent Valuation: Fair Share, Time of Contribution, and Respondent Uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 144-168, July.
    50. Gonzalez-Caban, Armando & Loomis, John, 1997. "Economic benefits of maintaining ecological integrity of Rio Mameyes, in Puerto Rico," Ecological Economics, Elsevier, vol. 21(1), pages 63-75, April.
    51. Matthews, Yvonne, 2023. "A hybrid and hierarchical stated preference study of freshwater restoration in Aotearoa New Zealand," Ecological Economics, Elsevier, vol. 203(C).
    52. W. George Hutchinson & Riccardo Scarpa & Susan M. Chilton & T. McCallion, 2001. "Parametric and Non‐Parametric Estimates of Willingness to Pay for Forest Recreation in Northern Ireland: A Discrete Choice Contingent Valuation Study with Follow‐Ups," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(1), pages 104-122, January.
    53. Diane Dupont, 2003. "CVM Embedding Effects When There Are Active, Potentially Active and Passive Users of Environmental Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 319-341, July.
    54. Turcin, Branka & Giraud, Kelly, 2001. "Contingent Valuation Willingness to Pay with Respect Geographically Nested Samples: Case Study of Alaskan Steller Sea Lion," Western Region Archives 321684, Western Region - Western Extension Directors Association (WEDA).
    55. Poe, Gregory L. & Bishop, Richard C., 1992. "Measuring the Benefits of Groundwater Protection from Agricultural Contamination: Results from a Two-Stage Contingent Valuation Study," Staff Papers 200549, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    56. Nikita Lyssenko & Roberto Mart󹑺-Espiñeira, 2012. "Respondent uncertainty in contingent valuation: the case of whale conservation in Newfoundland and Labrador," Applied Economics, Taylor & Francis Journals, vol. 44(15), pages 1911-1930, May.
    57. Loomis, John B. & Gonzalez-Caban, Armando, 1998. "A willingness-to-pay function for protecting acres of spotted owl habitat from fire," Ecological Economics, Elsevier, vol. 25(3), pages 315-322, June.
    58. Welsh, Michael P. & Poe, Gregory L., 1998. "Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 170-185, September.
    59. Michael Ahlheim & Ulrike Lehr, 2008. "Equity and Aggregation in Environmental Valuation," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 295/2008, Department of Economics, University of Hohenheim, Germany.
    60. Torres, Cati & Hanley, Nick & Riera, Antoni, 2011. "How wrong can you be? Implications of incorrect utility function specification for welfare measurement in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 111-121, July.
    61. Loomis, John & Ekstrand, Earl, 1998. "Alternative approaches for incorporating respondent uncertainty when estimating willingness to pay: the case of the Mexican spotted owl," Ecological Economics, Elsevier, vol. 27(1), pages 29-41, October.
    62. Caffey, Rex H. & Kazmierczak, Richard F., Jr., 1994. "Factors Influencing Technology Adoption In A Louisiana Aquaculture System," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 26(1), pages 1-11, July.
    63. Kelly Giraud & John B. Loomis Richard & L. Johnson, 1999. "Two valuation questions in one survey: is it a recipe for sequencing and instrument context effects?," Applied Economics, Taylor & Francis Journals, vol. 31(8), pages 957-964.
    64. Anoop, P. & Suryaprakash, Satrasala, 2008. "Estimating the Option Value of Ashtamudi Estuary in South India: a contingent valuation approach," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43607, European Association of Agricultural Economists.
    65. Skuras, Dimitris & Vakrou, Alexandra, 1999. "Willingness to pay for origin labelled products : a case study of Greek wine consumers," 67th Seminar, October 28-30, 1999, LeMans, France 241049, European Association of Agricultural Economists.
    66. Kelly Giraud & John Loomis & Joseph Cooper, 2001. "A Comparison of Willingness to Pay Estimation Techniques From Referendum Questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(4), pages 331-346, December.
    67. González-Cabán, Armando & Loomis, John B. & Rodriguez, Andrea & Hesseln, Hayley, 2007. "A comparison of CVM survey response rates, protests and willingness-to-pay of Native Americans and general population for fuels reduction policies," Journal of Forest Economics, Elsevier, vol. 13(1), pages 49-71, May.
    68. Ahlheim, Michael & Frör, Oliver & Nguyen Minh Duc & Rehl, Antonia & Siepmann, Ute & Pham Van Dinh, 2017. "Labour as a utility measure reconsidered," Hohenheim Discussion Papers in Business, Economics and Social Sciences 03-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    69. Wang, Hua, 1997. "Treatment of "Don't-Know" Responses in Contingent Valuation Surveys: A Random Valuation Model," Journal of Environmental Economics and Management, Elsevier, vol. 32(2), pages 219-232, February.
    70. Lockwood, Michael & Carberry, David, 1999. "Stated preference surveys of remnant native vegetation conservation," 1999 Conference (43th), January 20-22, 1999, Christchurch, New Zealand 123831, Australian Agricultural and Resource Economics Society.
    71. Mandy Ryan, 2004. "A comparison of stated preference methods for estimating monetary values," Health Economics, John Wiley & Sons, Ltd., vol. 13(3), pages 291-296, March.
    72. Seung-Jun Kwak & Seung-Hoon Yoo & Sang-Yong Han, 2003. "Estimating the Public's Value for Urban Forest in the Seoul Metropolitan Area of Korea: A Contingent Valuation Study," Urban Studies, Urban Studies Journal Limited, vol. 40(11), pages 2207-2221, October.
    73. Johnston, Robert J. & Swallow, Stephen K. & Bauer, Dana Marie, 2002. "Stated Preferences And Length Of Residency In Rural Communities: Are Development And Conservation Values Heterogeneous?," 2002 Annual meeting, July 28-31, Long Beach, CA 19683, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    74. Lyssenko, Nikita & Martinez-Espineira, Roberto, 2009. "`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component," MPRA Paper 21976, University Library of Munich, Germany, revised 08 Apr 2010.
    75. Choi, Andy S., 2011. "Implicit prices for longer temporary exhibitions in a heritage site and a test of preference heterogeneity: A segmentation-based approach," Tourism Management, Elsevier, vol. 32(3), pages 511-519.
    76. Allen, Bryon & Loomis, John B., 2004. "Economic Value of Original Non-Market Valuation Research," 2004 Annual meeting, August 1-4, Denver, CO 20263, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    77. Giaccaria Sergio & Frontuto Vito & Dalmazzone Silvana, 2010. "Who’s afraid of power lines? Merging survey and GIS data to account for spatial heterogeneity," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201002, University of Turin.
    78. Tanvir Pavel & Pallab Mozumder, 2019. "Household Preferences for Managing Coastal Vulnerability: State vs. Federal Adaptation Fund," Economics of Disasters and Climate Change, Springer, vol. 3(3), pages 281-304, October.
    79. Ellingson, Lindsey & Seidl, Andrew, 2007. "Comparative analysis of non-market valuation techniques for the Eduardo Avaroa Reserve, Bolivia," Ecological Economics, Elsevier, vol. 60(3), pages 517-525, January.
    80. Michael Ahlheim & Benchaphun Ekasingh & Oliver Frör & Jirawan Kitchaicharoen & Andreas Neef & Chapika Sangkapitux & Nopasom Sinphurmsukskul, 2008. "Better than their reputation - A case for mail surveys in contingent valuation," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 297/2008, Department of Economics, University of Hohenheim, Germany.
    81. Patrizia Riganti, 2022. "Embedding Effects in Contingent Valuation Applications to Cultural Capital: Does the Nature of the Goods Matter?," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    82. John Loomis & Lindsey Ellingson & Armando Gonzalez‐Caban & Andy Seidl, 2006. "The Role of Ethnicity and Language in Contingent Valuation Analysis," American Journal of Economics and Sociology, Wiley Blackwell, vol. 65(3), pages 559-586, July.
    83. Azhar Abbas & T. Amjath-Babu & Harald Kächele & Klaus Müller, 2015. "Non-structural flood risk mitigation under developing country conditions: an analysis on the determinants of willingness to pay for flood insurance in rural Pakistan," 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. 75(3), pages 2119-2135, February.
    84. Laura Nahuelhual-Muñoz & Maria Loureiro & John Loomis, 2004. "Addressing Heterogeneous Preferences Using Parametric Extended Spike Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(3), pages 297-311, March.
    85. Johnston, Robert J. & Roheim, Cathy A. & Donath, Holger & Asche, Frank, 2001. "Measuring Consumer Preferences For Ecolabeled Seafood: An International Comparison," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-20, July.
    86. Richard Yao & Pamela Kaval, 2008. "Valuing Biodiversity Enhancement in New Zealand," Working Papers in Economics 08/07, University of Waikato.
    87. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    88. Joseph Cooper & John Loomis, 1993. "Testing whether waterfowl hunting benefits increase with greater water deliveries to wetlands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(6), pages 545-561, December.
    89. Ioanna Fanariotu & Dimitris Skuras, 2004. "The Contribution of Scenic Beauty Indicators in Estimating Environmental Welfare Measures: A Case Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 65(2), pages 145-165, January.
    90. Hanley, Nicholas & Riera, Antoni & Torres, Cati, 2009. "The implications of incorrect utility function specification for welfare measurement in choice experiments," Stirling Economics Discussion Papers 2009-07, University of Stirling, Division of Economics.
    91. Yashoda & Reddy, B.V. Chinnappa, 2012. "Recreationists Willingness to Pay for Conservation of a Forest ecosystem: An Economic study of Basavana Betta State Forest, Karnataka state, India," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126888, International Association of Agricultural Economists.
    92. Andy Choi, 2009. "Willingness to pay: how stable are the estimates?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 301-310, November.
    93. John Loomis & Thomas Brown & Beatrice Lucero & George Peterson, 1997. "Evaluating the Validity of the Dichotomous Choice Question Format in Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 10(2), pages 109-123, September.
    94. Catherine M. H. Keske & Adam Mayer, 2014. "Visitor Willingness to Pay U.S. Forest Service Recreation Fees in New West Rural Mountain Economies," Economic Development Quarterly, , vol. 28(1), pages 87-100, February.
    95. Pamela Kaval & Matthew Roskruge, 2009. "The Value of Native Bird Conservation: A New Zealand Case Study," Working Papers in Economics 09/11, University of Waikato.
    96. Magnus Tambour & Niklas Zethraeus, 1998. "Nonparametric Willingness-to-pay Measures and Confidence Statements," Medical Decision Making, , vol. 18(3), pages 330-336, August.
    97. Loomis, John & Peterson, George & Champ, Patricia & Brown, Thomas & Lucero, Beatrice, 1998. "Paired comparison estimates of willingness to accept versus contingent valuation estimates of willingness to pay," Journal of Economic Behavior & Organization, Elsevier, vol. 35(4), pages 501-515, May.
    98. Mikołaj Czajkowski & Milan Ščasný, 2008. "Study on Benefit Transfer in an International Setting. How to Improve Welfare Estimates in the Case of the Countries' Income Heterogeneity?," Working Papers 2008-09, Faculty of Economic Sciences, University of Warsaw.
    99. Mikołaj Czajkowski & Nick Hanley, 2009. "Using Labels to Investigate Scope Effects in Stated Preference Methods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 521-535, December.
    100. Poe, Gregory L. & Vossler, Christian A., 2001. "Does Specification Error Explain the Discrepancy Between Open-Ended and Dichotomous Choice Contigent Valuation Responses? A Comment on "Monte Carlo Benchmarks for Discrete Valuation Methods"," Working Papers 127665, Cornell University, Department of Applied Economics and Management.
    101. Richard T. Carson & Mikołaj Czajkowski, 2018. "A New Baseline Model for Estimating Willingness to Pay from Discrete Choice Models," Working Papers 2018-04, Faculty of Economic Sciences, University of Warsaw.
    102. Henry-Osorio, Miguel & Mittelhammer, Ronald C., 2012. "An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123432, Agricultural and Applied Economics Association.
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    104. Berrens, Robert P. & Bohara, Alok K. & Jenkins-Smith, Hank C. & Silva, Carol L. & Weimer, David L., 2004. "Information and effort in contingent valuation surveys: application to global climate change using national internet samples," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 331-363, March.
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    5. Hynes, Stephen & Burger, Ryan & Tudella, João & Norton, Daniel & Chen, Wenting, 2022. "Estimating the costs and benefits of protecting a coastal amenity from climate change-related hazards: Nature based solutions via oyster reef restoration versus grey infrastructure," Ecological Economics, Elsevier, vol. 194(C).
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    7. John Loomis & Omer Tadjion & Philip Watson & Josh Wilson & Stephen Davies & Dawn Thilmany, 2009. "A Hybrid Individual—Zonal Travel Cost Model for Estimating the Consumer Surplus of Golfing in Colorado," Journal of Sports Economics, , vol. 10(2), pages 155-167, April.
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