IDEAS home Printed from https://ideas.repec.org/e/pcr8.html
   My authors  Follow this author

Michael Creel

Personal Details

First Name:Michael
Middle Name:
Last Name:Creel
Suffix:
RePEc Short-ID:pcr8
[This author has chosen not to make the email address public]
http://pareto.uab.es/mcreel
Dept. of Economics and Economic History Edifici B Universitat Autonoma de Barcelona 08193 Bellaterra (Barcelona) SPAIN
93-581-1696

Affiliation

Unitat de Fonaments de l'Anàlisi Econòmica
Departament d'Economia i Història Econòmica
Universitat Autònoma de Barcelona
Barcelona School of Economics (BSE)

Barcelona, Spain
http://selene.uab.es/_cs_u_fonaments/
RePEc:edi:ufuabes (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
  2. Michael Creel, 2020. "Inference Using Simulated Neural Moments," Working Papers 1182, Barcelona School of Economics.
  3. Michael Creel, 2016. "Neural Nets for Indirect Inference," Working Papers 942, Barcelona School of Economics.
  4. 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.
  5. 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).
  6. 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).
  7. 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).
  8. Michael Creel & Dennis Kristensen, 2009. "SNM Guide," UFAE and IAE Working Papers 793.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  9. Michael Creel, 2008. "PelicanHPC Tutorial," UFAE and IAE Working Papers 749.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  10. 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.
  11. 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).

Articles

  1. Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
  2. Creel, Michael, 2017. "Neural nets for indirect inference," Econometrics and Statistics, Elsevier, vol. 2(C), pages 36-49.
  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.
  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.
  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.
  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.
  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.
  8. Michael Creel & Montserrat Farell, 2011. "Modelling usage of medical care services: the medical expenditure panel survey data, 1996-2000," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2287-2302.
  9. 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.
  10. Michael Creel, 2008. "Some possible pitfalls of parametric inference (in Russian)," Quantile, Quantile, issue 4, pages 1-6, March.
  11. 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.
  12. 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.
  13. 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.
  14. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 107-128, October.
  15. Michael Creel, 2004. "Modified Hausman tests for inefficient estimators," Applied Economics, Taylor & Francis Journals, vol. 36(21), pages 2373-2376.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.

Software components

  1. Michael Creel, 2009. "PelicanHPC," Grecs Computer Code 005.09, Research Group in Computation and Simulations (GRECS).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Record of graduates

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (8) 2003-07-12 2011-06-11 2012-12-06 2013-06-24 2016-04-04 2016-11-13 2020-06-15 2023-12-18. Author is listed
  2. NEP-CMP: Computational Economics (4) 2003-07-10 2012-12-06 2016-11-13 2020-06-15
  3. NEP-ORE: Operations Research (3) 2013-06-24 2016-04-04 2020-06-15
  4. NEP-BIG: Big Data (1) 2020-06-15
  5. NEP-NET: Network Economics (1) 2023-12-18

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Michael Creel should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.