IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login

Citations for "The Random Utility Hypothesis and Inference in Demand Systems"

by Brown, Bryan W & Walker, Mary Beth

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Arthur Lewbel & Krishna Pendakur, 2006. "Tricks With Hicks: The EASI Demand System," Boston College Working Papers in Economics 651, Boston College Department of Economics, revised 26 Nov 2008.
  2. Fève, Frédérique & Fève, Patrick & Florens, Jean-Pierre, 2002. "Attribute Choices and Structural Econometrics of Price Elasticity of Demand," IDEI Working Papers 155, Institut d'Économie Industrielle (IDEI), Toulouse, revised 2003.
  3. Paris, Quirino & Caracciolo, Francesco, 2012. "Quantity Versus Shares in Estimating Demand Systems," Working Papers 124575, University of California, Davis, Department of Agricultural and Resource Economics.
  4. Fry, Jane M. & Fry, Tim R. L. & McLaren, Keith R., 1996. "The stochastic specification of demand share equations: Restricting budget shares to the unit simplex," Journal of Econometrics, Elsevier, vol. 73(2), pages 377-385, August.
  5. LaFrance, Jeffrey T., 2008. "The structure of US food demand," Journal of Econometrics, Elsevier, vol. 147(2), pages 336-349, December.
  6. Richard Blundell & Joel Horowitz & Matthias Parey, 2013. "Nonparametric estimation of a heterogeneous demand function under the Slutsky inequality restriction," CeMMAP working papers CWP54/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  7. McAleer, Michael & Medeiros, Marcelo C. & Slottje, Daniel, 2008. "A neural network demand system with heteroskedastic errors," Journal of Econometrics, Elsevier, vol. 147(2), pages 359-371, December.
  8. Valerie Lechene & Martin Browning, 2004. "Collective and unitary models: a clarification," Economics Series Working Papers 191, University of Oxford, Department of Economics.
  9. Mette Christensen, 2007. "Heterogeneity in consumer demands and the income effect: evidence from panel data," IFS Working Papers W07/16, Institute for Fiscal Studies.
  10. Walter Beckert & Richard Blundell, 2008. "Heterogeneity and the Non-Parametric Analysis of Consumer Choice: Conditions for Invertibility," Review of Economic Studies, Oxford University Press, vol. 75(4), pages 1069-1080.
  11. LaFrance, Jeffrey T, 2002. "Generalized rational random errors," CUDARE Working Paper Series 938, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
  12. Lee, Sokbae & Seo, Myung Hwan, 2008. "Semiparametric estimation of a binary response model with a change-point due to a covariate threshold," Journal of Econometrics, Elsevier, vol. 144(2), pages 492-499, June.
  13. Richard Blundell & Martin Browning & Ian Crawford, 1997. "Non-parametric Engel curves and revealed preferences," IFS Working Papers W97/14, Institute for Fiscal Studies.
  14. Brito, Duarte & Ribeiro, Ricardo & Vasconcelos, Helder, 2013. "Quantifying the Coordinated Effects of Partial Horizontal Acquisitions," CEPR Discussion Papers 9536, C.E.P.R. Discussion Papers.
  15. Arthur Lewbel, 2001. "Demand Systems with and without Errors," American Economic Review, American Economic Association, vol. 91(3), pages 611-618, June.
  16. Rosa L. Matzkin, 1999. "Nonparametric Estimation of Nonadditive Random Functions," Working Papers 38, Universidad de San Andres, Departamento de Economia, revised Sep 2001.
  17. LaFrance, Jeffrey T., 1999. "An Econometric Model of the Demand for Food and Nutrition," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2z5516c2, Department of Agricultural & Resource Economics, UC Berkeley.
  18. Blundell, Richard & Kristensen, Dennis & Matzkin, Rosa, 2014. "Bounding quantile demand functions using revealed preference inequalities," Journal of Econometrics, Elsevier, vol. 179(2), pages 112-127.
  19. Rosa L. Matzkin & James Heckman & Lars Nesheim, 2002. "Nonparametric Estimation and Nonadditive Hedonic Models," Working Papers 51, Universidad de San Andres, Departamento de Economia, revised Jun 2002.
  20. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.
  21. John Mullahy, 2011. "Multivariate Fractional Regression Estimation Of Econometric Share Models," Working Papers 201133, Geary Institute, University College Dublin.
  22. H. Youn Kim & Keith R. McLaren & K.K. Gary Wong, 2014. "Consumer Demand, Consumption, and Asset Pricing: An Integrated Analysis," Monash Econometrics and Business Statistics Working Papers 4/14, Monash University, Department of Econometrics and Business Statistics.
  23. Jeffrey LaFrance & Rulon Pope, 2008. "The Generalized Quadratic Expenditure System," Working Papers 2008-27, School of Economic Sciences, Washington State University.
  24. Brown, Bryan W. & Walker, Mary Beth, 1995. "Stochastic specification in random production models of cost-minimizing firms," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 175-205.
  25. Sylvestre Gaudin & Ronald C. Griffin & Robin C. Sickles, 2001. "Demand Specification for Municipal Water Management: Evaluation of the Stone-Geary Form," Land Economics, University of Wisconsin Press, vol. 77(3), pages 399-422.
  26. Ricardo Ribeiro & João Vareda, 2007. "Crowding Out or Complementarity in the Telecommunications Market?," Working Papers 07-33, NET Institute, revised Sep 2007.
  27. David J. Vanness, 2003. "A structural econometric model of family valuation and choice of employer-sponsored health insurance in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 12(9), pages 771-790.
  28. Le-Yu Chen & Sokbae 'Simon' Lee & Myung Jae Sung, 2013. "Maximum score estimation of preference parameters for a binary choice model under uncertainty," CeMMAP working papers CWP14/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  29. Arthur Lewbel & Serena Ng, 2005. "Demand Systems with Nonstationary Prices," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 479-494, August.
  30. Paris, Quirino & Caracciolo, Francesco, 2014. "Testing the Adding Up Condition in Demand Systems," Working Papers 171748, University of California, Davis, Department of Agricultural and Resource Economics.
  31. Wolak, Frank A., 1996. "Can universal service survive in a competitive telecommunications environment? Evidence from the United States consumer expenditure survey," Information Economics and Policy, Elsevier, vol. 8(3), pages 163-203, September.
  32. Haag, Berthold R. & Hoderlein, Stefan & Pendakur, Krishna, 2009. "Testing and imposing Slutsky symmetry in nonparametric demand systems," Journal of Econometrics, Elsevier, vol. 153(1), pages 33-50, November.
  33. Eldon V. Ball & Ricardo Cavazos & Jeffrey T. LaFrance & Rulon Pope & Jesse Tack, 2010. "Aggregation and Arbitrage in Joint Production," Monash Economics Working Papers archive-22, Monash University, Department of Economics.
  34. Anil Kumar, 2005. "Nonparametric estimation of the impact of taxes on female labor supply," Working Papers 0505, Federal Reserve Bank of Dallas.
  35. Mette Christensen, 2007. "Integrability of demand accounting for unobservable heterogeneity: a test on panel data," IFS Working Papers W07/14, Institute for Fiscal Studies.
  36. Song, Ze & Li, Lianyou & Ma, Chao, 2013. "The EASI Demand System : Evidence from China Household," MPRA Paper 48435, University Library of Munich, Germany.
  37. Brito, Duarte & Ribeiro, Ricardo & Vasconcelos, Helder, 2013. "Measuring Unilateral Effects in Partial Acquisitions," CEPR Discussion Papers 9354, C.E.P.R. Discussion Papers.
  38. Donald J. Brown & Rosa L. Matzkin, 1998. "Estimation of Nonparametric Functions in Simultaneous Equations Models, with an Application to Consumer Demand," Cowles Foundation Discussion Papers 1175, Cowles Foundation for Research in Economics, Yale University.
  39. Michel Simioni & Marc Ivaldi, 1992. "Système de régressions empilées et panel incomplet : un tour d'horizon," Économie et Prévision, Programme National Persée, vol. 105(4), pages 97-107.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.