Spatial latent class analysis model for spatially distributed multivariate binary data
A spatial latent class analysis model that extends the classic latent class analysis model by adding spatial structure to the latent class distribution through the use of the multinomial probit model is introduced. Linear combinations of independent Gaussian spatial processes are used to develop multivariate spatial processes that are underlying the categorical latent classes. This allows the latent class membership to be correlated across spatially distributed sites and it allows correlation between the probabilities of particular types of classes at any one site. The number of latent classes is assumed to be fixed but is chosen by model comparison via cross-validation. An application of the spatial latent class analysis model is shown using soil pollution samples where 8 heavy metals were measured to be above or below government pollution limits across a 25 square kilometer region. Estimation is performed within a Bayesian framework using MCMC and is implemented using the OpenBUGS software.
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- Denis Bolduc & Bernard Fortin & Stephen Gordon, 1997.
"Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques,"
International Regional Science Review,
SAGE Publishing, vol. 20(1-2), pages 77-101, April.
- Bolduc, D. & Fortin, B. & Gordon, S., 1995. "Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques," Papers 9508, Laval - Recherche en Politique Economique.
- BOLDUC, Denis & FORTIN, Bernard & GORDON, Stephen, 1995. "Multinomial Probit Estimation of Spatially Interdependent Choices: an Empirical Comparison of Two New Techniques," Cahiers de recherche 9508, Université Laval - Département d'économique.
- Holloway, Garth & Shankar, Bhavani & Rahman, Sanzidur, 2002.
"Bayesian spatial probit estimation: a primer and an application to HYV rice adoption,"
Agricultural Economics of Agricultural Economists,
International Association of Agricultural Economists, vol. 27(3), November.
- Holloway, Garth & Shankar, Bhavani & Rahman, Sanzidur, 2002. "Bayesian spatial probit estimation: a primer and an application to HYV rice adoption," Agricultural Economics, Blackwell, vol. 27(3), pages 383-402, November.
- Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.
- Simon Cheng & J. Scott Long, 2007. "Testing for IIA in the Multinomial Logit Model," Sociological Methods & Research, SAGE Publishing, vol. 35(4), pages 583-600, May.
- Bolduc, Denis, 1992. "Generalized autoregressive errors in the multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 26(2), pages 155-170, April.
- Kurt Schmidheiny, 2004.
"Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland,"
CESifo Working Paper Series
1313, CESifo Group Munich.
- Schmidheiny, Kurt, 2006. "Income segregation and local progressive taxation: Empirical evidence from Switzerland," Journal of Public Economics, Elsevier, vol. 90(3), pages 429-458, February.
- Kurt Schmidheiny, 2003. "Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland," Diskussionsschriften dp0311, Universitaet Bern, Departement Volkswirtschaft.
- Schmidheiny, Kurt, 2003. "Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland," HWWA Discussion Papers 248, Hamburg Institute of International Economics (HWWA).
- Bunch, David S., 1991. "Estimability in the Multinomial Probit Model," University of California Transportation Center, Working Papers qt1gf1t128, University of California Transportation Center.
- Bunch, David S., 1991. "Estimability in the multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 25(1), pages 1-12, February.
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