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Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques
8 references·8 citing·37 second hop
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this work references cited by second hop

References

  • 1989A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration1,641 cited
  • 1989Simulation and the Asymptotics of Optimization Estimators1,496 cited
  • 1985Discrete Choice Analysis1,375 cited
  • 1994An exact likelihood analysis of the multinomial probit model545 cited
  • 1991Spatial Patterns in Household Demand519 cited
  • 1993Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models462 cited
  • 1992On Efficiency of Methods of Simulated Moments and Maximum Simulated Likelihood Estimation of Discrete Response Models151 cited
  • 1985Chapter 4 Taxes and labor supply136 cited

Cited by

  • 2001Discrete Choice Methods with Simulation7,927 cited
  • 2000Mixed MNL models for discrete response4,354 cited
  • 2006Where Do Firms Choose to Locate Their R&D? A Spatial Conditional Logit Analysis on French Data69 cited
  • 2009Modeling spatial autocorrelation in spatial interaction data: empirical evidence from 2002 Germany journey-to-work flows61 cited
  • 2014ESTIMATORS OF BINARY SPATIAL AUTOREGRESSIVE MODELS: A MONTE CARLO STUDY52 cited
  • 2004Spatial choice modelling: new opportunities to incorporate space into substitution patterns52 cited

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  • 2008Examining State Dependence and Place Attachment Within a Recreational Fishing Site Choice Model47 cited
  • 2013What determines the location choice of multinational firms in the information and communication technologies sector?21 cited