IDEAS home Printed from https://ideas.repec.org/p/nwu/cmsems/286.html
   My bibliography  Save this paper

Testing the Accuracy

Author

Listed:
  • John R. Hauser

Abstract

No abstract is available for this item.

Suggested Citation

  • John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  • Handle: RePEc:nwu:cmsems:286
    as

    Download full text from publisher

    File URL: http://www.kellogg.northwestern.edu/research/math/papers/286.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    2. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yasemin Bal Gunduz, 2009. "Estimating Demand for IMF Financing by Low-Income Countries in Response to Shocks," IMF Working Papers 2009/263, International Monetary Fund.
    2. Michael Veall & Klaus Zimmermann, 1994. "Evaluating Pseudo-R 2 's for binary probit models," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(2), pages 151-164, May.
    3. Tony Dignan & Kingsley E. Haynes & Dennis Conway & Nanda R. Shrestha, 1989. "Land and Landlessness among Rural-to-Rural Migrants in Nepal's Terai Region," International Regional Science Review, , vol. 12(2), pages 189-209, August.
    4. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    5. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    6. De Pinto, Alessandro & Nelson, Gerald C., 2006. "Assessing the Robustness of Predictions in Spatially Explicit Models of Land Use," 2006 Annual meeting, July 23-26, Long Beach, CA 21307, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. John Hauser, 2011. "A marketing science perspective on recognition-based heuristics (and the fast-and-frugal paradigm)," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(5), pages 396-408, July.
    8. repec:cup:judgdm:v:6:y:2011:i:5:p:396-408 is not listed on IDEAS
    9. Agarwal, Rajshree & Bayus, Barry L., 2002. "The Market Evolution and Sales Take-Off of Product Innovations," Working Papers 02-0104, University of Illinois at Urbana-Champaign, College of Business.
    10. Joseph Pancras, 2010. "A Framework to Determine the Value of Consumer Consideration Set Information for Firm Pricing Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 269-300, March.
    11. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    12. Hauser, John R., 1981. "Consumer analysis to evaluate R&D projects," Working papers 1245-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    13. Mokhtarian, Patricia L. & Bagley, Michael N., 2000. "Modeling employees' perceptions and proportional preferences of work locations: the regular workplace and telecommuting alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 223-242, May.
    14. Xing, Yan & Handy, Susan L. & Mokhtarian, Patricia L., 2010. "Factors Associated with Proportions and Miles of Bicycling for Transportation and Recreation in Six Small U.S. Cities," Institute of Transportation Studies, Working Paper Series qt74n4j1p0, Institute of Transportation Studies, UC Davis.
    15. Wayne DeSarbo & Donald Lehmann & Gregory Carpenter & Indrajit Sinha, 1996. "A stochastic multidimensional unfolding approach for representing phased decision outcomes," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 485-508, September.
    16. Gurumurthy, K. & Little, John D. C. & University of Texas at Dallas. Marketing Center., 2003. "A price response model developed from perceptual theories," Working papers 89-5, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    17. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    18. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
    19. Narwa, Daniel, 2001. "How general should the proximity model be?," European Journal of Political Economy, Elsevier, vol. 17(1), pages 53-74, March.
    20. Colin Cameron, A. & Windmeijer, Frank A. G., 1997. "An R-squared measure of goodness of fit for some common nonlinear regression models," Journal of Econometrics, Elsevier, vol. 77(2), pages 329-342, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    2. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    4. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Steimetz, Seiji S.C. & Brownstone, David, 2005. "Estimating commuters' "value of time" with noisy data: a multiple imputation approach," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 865-889, December.
    6. Iain M. Cockburn & Megan J. MacGarvie, 2011. "Entry and Patenting in the Software Industry," Management Science, INFORMS, vol. 57(5), pages 915-933, May.
    7. Lurkin, Virginie & Garrow, Laurie A. & Higgins, Matthew J. & Newman, Jeffrey P. & Schyns, Michael, 2017. "Accounting for price endogeneity in airline itinerary choice models: An application to Continental U.S. markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 228-246.
    8. Seiji S. C. Steimetz, 2009. "White‐Knuckle Externalities," Economic Inquiry, Western Economic Association International, vol. 47(2), pages 304-316, April.
    9. Esmeralda Ramalho, 2004. "Covariate Measurement Error in Endogenous Stratified Samples," Economics Working Papers 2_2004, University of Évora, Department of Economics (Portugal).
    10. Richard Disney & Eleonora Fischera & Trudy Owens, 2010. "Has the Introduction of Microfinance Crowded-out Informal Loans in Malawi?," Discussion Papers 10/08, University of Nottingham, CREDIT.
    11. Trent Geisler & Herman Ray & Ying Xie, 2023. "Finding the Proverbial Needle: Improving Minority Class Identification Under Extreme Class Imbalance," Journal of Classification, Springer;The Classification Society, vol. 40(1), pages 192-212, April.
    12. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    13. Keith Head & Yao Amber Li & Asier Minondo, 2019. "Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 713-727, October.
    14. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    15. Sarlin, Peter & von Schweinitz, Gregor, 2021. "Optimizing Policymakers’ Loss Functions In Crisis Prediction: Before, Within Or After?," Macroeconomic Dynamics, Cambridge University Press, vol. 25(1), pages 100-123, January.
    16. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers 07/03, Institute for Fiscal Studies.
    17. Ignacio A. Inoa & Nathalie Picard & Andr� de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Mathematical Population Studies, Taylor & Francis Journals, vol. 22(1), pages 4-36, March.
    18. Stefano Usai & Emanuela Marrocu & Raffaele Paci, 2017. "Networks, Proximities, and Interfirm Knowledge Exchanges," International Regional Science Review, , vol. 40(4), pages 377-404, July.
    19. James Hansen & James McDonald & Panayiotis Theodossiou & Brad Larsen, 2010. "Partially Adaptive Econometric Methods For Regression and Classification," Computational Economics, Springer;Society for Computational Economics, vol. 36(2), pages 153-169, August.
    20. Nicolas Jacquemet & Stephane Luchini & Jason Shogren & Verity Watson, 2019. "Discrete Choice under Oaths," Post-Print halshs-02136103, HAL.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nwu:cmsems:286. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Fran Walker (email available below). General contact details of provider: https://edirc.repec.org/data/cmnwuus.html .

    Please note that corrections may 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.