Relevant bibliographies by topics / Probit multinomial

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Probit multinomial'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Probit multinomial"

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Horowitz, Joel L. "Reconsidering the multinomial probit model." Transportation Research Part B: Methodological 25, no. 6 (1991): 433–38. http://dx.doi.org/10.1016/0191-2615(91)90036-i.

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Breslaw, Jon A. "Multinomial probit estimation without nuisance parameters." Econometrics Journal 5, no. 2 (2002): 417–34. http://dx.doi.org/10.1111/1368-423x.00091.

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Dokumacı, Emin, and William H. Sandholm. "Large deviations and multinomial probit choice." Journal of Economic Theory 146, no. 5 (2011): 2151–58. http://dx.doi.org/10.1016/j.jet.2011.06.013.

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Bunch, David S. "Estimability in the multinomial probit model." Transportation Research Part B: Methodological 25, no. 1 (1991): 1–12. http://dx.doi.org/10.1016/0191-2615(91)90009-8.

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Kindo, Bereket P., Hao Wang, and Edsel A. Peña. "Multinomial probit Bayesian additive regression trees." Stat 5, no. 1 (2016): 119–31. http://dx.doi.org/10.1002/sta4.110.

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Stern, Steven. "Rules of thumb for comparing multinomial logit and multinomial probit coefficients." Economics Letters 31, no. 3 (1989): 235–38. http://dx.doi.org/10.1016/0165-1765(89)90006-2.

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Winship, Christopher. "Logit and Probit: Ordered and Multinomial Models." Journal of the American Statistical Association 98, no. 463 (2003): 775–76. http://dx.doi.org/10.1198/jasa.2003.s301.

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Myatt, David P., and Chris Wallace. "A multinomial probit model of stochastic evolution." Journal of Economic Theory 113, no. 2 (2003): 286–301. http://dx.doi.org/10.1016/s0022-0531(03)00069-3.

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Ding, Yunfei, and Robert F. Harrison. "A sparse multinomial probit model for classification." Pattern Analysis and Applications 14, no. 1 (2010): 47–55. http://dx.doi.org/10.1007/s10044-010-0177-7.

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Dansie, B. R. "Parameter estimability in the multinomial probit model." Transportation Research Part B: Methodological 19, no. 6 (1985): 526–28. http://dx.doi.org/10.1016/0191-2615(85)90047-5.

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Dissertations / Theses on the topic "Probit multinomial"

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Kropko, Jonathan Rabinowitz George. "Choosing between multinomial logit and multinomial probit models for analysis of unordered choice data." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1680.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Sep. 16, 2008). "... in partial full̄lment of the requirements for the degree of Master of Arts in the Department of Political Science." Discipline: Political Science; Department/School: Political Science.
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Park, Seong Yong. "Modeling dynamic choice behavior : empirical analysis using multinomial logit and multiperiod multinomial probit models /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/8727.

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Dyklevych, Oleksandr. "Bayesian Inference in the Multinomial Probit Model: A case study." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-35970.

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Rodrigues, Diego da Silva. "Uma análise dos determinantes da migração entre estados do trabalhador informal brasileiro." Universidade Federal de Juiz de Fora (UFJF), 2009. https://repositorio.ufjf.br/jspui/handle/ufjf/3974.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-04-04T18:11:10Z No. of bitstreams: 1 diegodasilvarodrigues.pdf: 406421 bytes, checksum: aeaa7de595b7c22c154883eda85bdc86 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-04-06T10:43:39Z (GMT) No. of bitstreams: 1 diegodasilvarodrigues.pdf: 406421 bytes, checksum: aeaa7de595b7c22c154883eda85bdc86 (MD5)<br>Made available in DSpace on 2017-04-06T10:43:39Z (GMT). No. of bitstreams: 1 diegodasilvarodrigues.pdf: 406421 bytes, checksum: aeaa7de595b7c22c154883eda85bdc86 (MD5) Previous issue date: 2009-12-21<br>Esse trabalho tem por finalidade estimar a probabilidade de migração interestadual dos trabalhadores que se destinam ao setor informal. Especificamente, busca-se analisar a probabilidade de migração conforme o nível de renda dos estados de destino. Esse objetivo é motivado pelo fato do Brasil apresentar intensa migração interna, o que leva à necessidade de compreender se as características dessa migração são as mesmas se considerarmos apenas o setor informal, que apresenta peculiaridades. Para isso, será elaborado um modelo probabilístico de migração com base em um banco de dados montado a partir da Ecinf (IBGE/2003). Inicialmente, é estimado um modelo probit simples, visando entender o impacto de características observadas pessoais, de trabalho e da região na decisão do indivíduo migrar. Depois, é estimado um modelo multinomial, buscando entender o impacto que essas características observadas têm quando o destino da migração é diferenciado pelo nível de renda dos estados. Os principais resultados obtidos indicam que, entre os informais, a migração segue características semelhantes às observadas na literatura, como ser mais propensa entre as mulheres, e apresentar renda maior entre os migrantes em comparação com os não-migrantes, sendo esta uma variável importante para a migração às regiões mais ricas. Por outro lado, os resultados também mostram que o aumento do nível de instrução tende a diminuir a probabilidade de um trabalhador informal migrar, indo de encontro ao que se observa noutros mercados de trabalho.<br>This paper aims to estimate the probability of interstate migration of informal workers. More specifically, it has the objective to analyze the probability of migration according to the income level of the destination states. This goal is motivated by the fact that Brazil has a strong internal migration, which leads to the need of understanding if the characteristics of the internal migration are the same if one considers only the informal sector, which presents peculiarities. This way, a probabilistic model of migration is made based on a database from the Ecinf (IBGE/2003). Initially, it is estimated a simple probit model, in order to understand the impact of observed personal, job and regional characteristics on the individual's decision to migrate. After that, it is estimated a multinomial model, trying to understand the impact that these observed characteristics have when the destination of the migration is differentiated by the income level of the states. The main results show that, among informal workers, the migration has characteristics similar to those observed in the literature and in the proposed model, as being more likely among women, and presenting higher incomes among the migrants when compared with non-migrants, and that being an important variable for migration to richer regions. On the other hand, the results also show that, among the informal workers, increasing of the educational level of the individuals tends to reduce the probability to migrate, against what is observed in other job markets.
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Grundsten, Ronja. "Immigration and Income Inequality in Sweden." Thesis, Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-44064.

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Income inequality has been on the rise in many industrialised countries since around the 1980’s. In Sweden the increase of income inequality has been particularly large. This in spite of Sweden’s extensive redistribution system and public policy that prioritize equality among its population. This paper investigates a potential factor for the rise in inequality that is yet fairly unexplored, namely immigration. As inequality has increased in Sweden, so has also immigration. Sweden experienced large refugee inflows after the 1970’s, the largest flow consisting of circa 100 000 Yugoslavs during the Bosnian war. This study provides indications on what way immigration shapes the income distribution and lays the ground for prospective studies. Results show that the inflow of new migrants during the early 1990’s in Sweden raises income inequality and it is almost entirely due to increased dispersion in the lower tail of the income distribution.
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Kennedy, Nathan S. "The Economics of Smallholder Households in Central Haiti." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52345.

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Smallholder households in Haiti face many natural resource management challenges. Agricultural production occurs on deforested hillsides prone to erosion. Charcoal is in an important source of income, and woodfuel stocks are often over-exploited. Donor-funded projects and non- governmental organizations have made large investments in programs that promote soil conservation practices and reforestation. Despite the magnitude of the problems and the amount invested, there are relatively few economic analyses of the long-term adoption of soil conservation practices and woodfuel management. This dissertation uses an economics approach to examine the adoption of conservation practices and the management of woodfuel resources in Central Haiti using cross-sectional data covering 600 households. The results show that plot and household characteristics have different effects on adoption across different classes of soil practices, particularly with regard to perceived soil quality, market access, and household health status. The results also provide evidence of the management of charcoal woodfuel stocks on private land. These findings inform the design and targeting of new programs related to soil conservation and reforestation in Haiti and other developing countries.<br>Ph. D.
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Nalukenge, Imelda Kibirige. "Impact of lending relationships on transaction costs incurred by financial intermediaries: case study in Central Ohio." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1068473959.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains x, 168 p.; also includes graphics. Includes abstract and vita. Advisor: Larry Libby, Dept. of Agricultural, Environmental & Development Economics. Includes bibliographical references (p. 161-168).
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Ndunda, E. N. (Ezekiel Nthee). "Wastewater reuse in urban and peri-urban irrigation : an economic assessment of improved wastewater treatment, low-risk adaptations and risk awareness in Nairobi, Kenya." Thesis, University of Pretoria, 2013. http://hdl.handle.net/2263/40235.

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The overall goal of this study was to analyse the welfare effect of improved wastewater treatment with the view of making policy recommendations for sustainable urban and peri-urban irrigation agriculture in Kenya. This goal was achieved by investigating three specific objectives. The first objective was to assess the farmers’ awareness of health risks in urban and peri-urban wastewater irrigation. Second objective was to analyse the factors that affect the choice of low-risk adaptations in reuse of untreated wastewater for irrigation. The third objective was to estimate the value that urban and peri-urban farmers who practice wastewater irrigation impute to improvements in specific characteristics of the wastewater input in agriculture. In order to achieve the first objective, an ordered probit model was used to identify the factors that influence farmers’ awareness of health risks in untreated wastewater irrigation. The model was fitted to data collected from a cross-sectional survey of 317 urban farm households in the Kibera informal settlement of Kenya. Results of this study show that gender of household head, household size, education level of household head, farm size, ownership of the farm, membership to farmers’ group, and market access for the fresh produce significantly affect awareness of farmers about health risks in wastewater irrigation. Therefore, there is need for awareness programs to promote public education through regular training and local workshops on wastewater reuse in order to improve the human capital of the urban and peri-urban farmers. To achieve the second objective, the study used a multinomial logit model to analyse the farmers’ choice of low-risk adaptations in untreated wastewater irrigation. A survey of 317 urban and peri-urban farmers was conducted and measures for risk-reduction in wastewater reuse were analysed. The urban and peri-urban farmers were found to have adopted low-risk wastewater irrigation techniques such as cessation of irrigation before harvesting, crop restriction and safer application methods. Results of the study show that adoption of risk-reduction measures is significantly influenced by the following factors: household size, age of the household head, education of household head, access to extension, access to media, access to credit, farmers’ group membership, and risk awareness. Also, marginal analysis of the coefficients confirmed the socio-economic characteristics are key determinants in adoption of low-risk measures in wastewater reuse. The study recommends that policies in support of low-risk urban and peri-urban irrigation agriculture should disaggregate farmers according to their socio-economic and institutional characteristics in order to achieve their intended objectives. To achieve the third objective, the study employed the discrete choice experiment approach to estimate the benefits farmers impute to improvements in attributes of the wastewater irrigation input, whose aim is to reduce the health risks associated with untreated wastewater irrigation. Urban and peri-urban farmers who practice wastewater irrigation drawn from Motoine-Ngong River in Nairobi were randomly selected for the study. A total of 241 farmers completed the presented choice cards for the choice model estimation. A random parameter logit model was used to estimate the individual level willingness to pay for wastewater treatment. The results show that urban and peri-urban farmers are willing to pay significant monthly municipality taxes for treatment of wastewater. Conclusion of this study was that, quality of treated wastewater, quantity of treated wastewater and the riverine ecosystem restoration are significant factors of preference over policy alternative designs in wastewater treatment and reuse.<br>Thesis (PhD)--University of Pretoria, 2013.<br>gm2014<br>Agricultural Economics, Extension and Rural Development<br>unrestricted
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Basu, Nandita. "Pedestrian route choice behaviour: Influences of built environment on route preference, safety and security." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/236797/1/Thesis_Nandita%2BBasu_24112022.pdf.

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Built environment factors influence pedestrian route choice behaviour, but their impact is not well known. This thesis investigates the influences of the built environment factors on walking route preference and safety. By using the ‘Physical Activity through Sustainable Transport Approaches’ framework, this research studied the perceptions and preferences of pedestrian route choice in a typical suburban environment in Australia through a stated preference survey. This thesis has established the interrelationship between safety, security, and built environment factors across men and women pedestrians. The findings highlight increasing land-use diversity and providing adequate trees may improve perceived safety and security among pedestrians.
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Mateo, Erroz Sara. "Análisis microeconometrico de las decisiones de participación y gasto turístico de los hogares." Doctoral thesis, Universitat de les Illes Balears, 2012. http://hdl.handle.net/10803/84092.

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La tesis se enmarca en el análisis microeconométrico de la demanda turística de los hogares españoles. Su objetivo general es estudiar los determinantes que influyen en la decisión de consumo turístico, frecuencia de consumo y gasto de los hogares en servicios turísticos. En el análisis de todas las decisiones intervienen variables no estrictamente económicas específicas de cada hogar (número de miembros, existencia de niños y otras variable ligadas al ciclo de vida del hogar) y de sus miembros (edad, nivel educativo, y otras variable ligadas al momento vital por el que atraviesan). Además, se incorporan variables económicas o ligadas a la situación económica del hogar. De esta manera se puede realizar un análisis sobre las diferentes decisiones de consumo turístico de los hogares y vincularlas a sus preferencias, restricciones temporales, restricciones monetarias o diferentes circunstancias condicionadas a su momento vital. Se hace especial referencia a los efectos de la crisis económica mundial y el desempleo de los miembros del hogar sobre su gasto turístico efectivo. Este trabajo está estructurado en cuatro capítulos. En el primer capítulo se aborda el estudio de las restricciones a las que hacen frente los hogares españoles a la hora de viajar. Para ello, se estudia la importancia que tiene la situación económica del hogar como barrera al consumo turístico. Los hogares analizados provienen de la muestra española del año 2000 de la encuesta del Panel de Hogares de la Comunidad Europea (PHOGUE). En el segundo capítulo se examina la frecuencia de participación turística mediante la explotación de los microdatos de la Encuesta de Presupuestos Familiares (EPF) durante el periodo 1999-2005. Además de la renta disponible y las variables del hogar asociadas a su situación económica, el tiempo libre, marcado por la situación laboral del sustentador familiar, y otros factores del hogar y sus miembros se incluye una variable temporal que permita describir la evolución de la frecuencia en el periodo considerado. En el tercer capítulo se examinan las decisiones de participación y gasto turístico de los hogares españoles en un periodo caracterizado por un cambio en el ciclo económico. Se emplean microdatos de la Encuesta de Presupuestos Familiares (EPF) de los años 2006 a 2010, lo que permite analizar las consecuencias que la crisis económica y el desempleo tienen sobre las decisiones de consumo turístico de los hogares. Finalmente, el cuarto capítulo tiene como principal objetivo la clasificación de los hogares en función de sus preferencias de consumo, distinguiendo entre demandantes de baja intensidad (nulo o muy escaso gasto turístico), intensidad media (gasto turístico intermedio) y alta intensidad (gasto turístico elevado). Así, se pretende ofrecer una alternativa a la modelización del gasto turístico teniendo en cuenta, de manera explícita, las preferencias personales ya que estas juegan un papel fundamental en la demanda turística como respuesta a un conjunto de características sociodemográficas y económicas. Los microdatos empleados pertenecen a la Encuesta de Presupuestos Familiares (EPF) de los años 2006 a 2010. Los ingresos son la variable que mayor poder explicativo tiene sobre la demanda turística. Aún así, las variaciones en el nivel de renta no presentan efectos uniformes en la variación del consumo turístico de los diferentes hogares. Los resultados obtenidos ponen de manifiesto la existencia de otros factores sociodemográficos que pueden compensar o restringir el consumo turístico efectivo. Las variaciones de los ingresos en los hogares, debidos a factores externos como la crisis o el desempleo, o a otros factores específicos del hogar y de sus miembros, no tienen el mismo efecto en las variaciones de la demanda turística final. Para el análisis de la demanda turística es necesario utilizar herramientas de estimación que permitan recoger la heterogeneidad de los consumidores. De esta manera, el efecto de los ingresos o de la situación económica de un hogar puede verse compensado por la presencia de otras variables ya sean preferencias o determinantes sociodemográficos. En cuanto a la novedad de introducir el efecto de la crisis, los resultados obtenidos ponen de manifiesto que ante ésta, los hogares modifican parcialmente sus criterios de decisión. En un entorno social de crisis económica los hogares otorgan a los ingresos un papel más conservador en la decisión de participación; no obstante, una vez tomada esa decisión, el gasto efectivo es más sensible al nivel de ingresos del hogar. Los resultados obtenidos revelan la conveniencia de incluir información sobre la situación laboral del sustentador principal, y si cabe, del resto de miembros en las decisiones de participación, frecuencia de viaje y gasto turístico. En España, dónde su economía se caracteriza por las elevadas tasas de desempleo y donde el ciclo económico afecta a la permanencia de empleo de los individuos, esta consideración ayuda a obtener una imagen más real sobre el comportamiento del hogar. Como se observa en los resultados el desempleo tiene un efecto negativo en las decisiones de consumo turístico que es coherente con la literatura revisada. El seguimiento y análisis de la demanda turística debe realizarse en un entorno de constantes cambios y, en la actualidad, con perspectivas de estancamiento. La tesis contribuye al análisis de la demanda turística señalando la heterogeneidad de comportamiento y preferencias de los consumidores, para los que el nivel de ingresos es sólo un factor en el conjunto de determinantes económicos y sociodemográficos que afectan a sus decisiones de consumo.
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Books on the topic "Probit multinomial"

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1954-, Börsch-Supan Axel, ed. Health, children, and elderly living arrangements: A multiperiod-multinomial probit model with unoberserved heterogeneity and autocorrelated errors. National Bureau of Economic Research, 1990.

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Sosa-Rubi, Sandra G. Heterogeneous impact of the "seguro popular" program on the utilization of obstetrical services in mexico, 2001-2006: A multinomial probit model with a discrete endogenous variable. National Bureau of Economic Research, 2007.

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Daganzo, Carlos. Multinomial Probit: The Theory and Its Application to Demand Forecasting. Elsevier Science & Technology Books, 2014.

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Logit and Probit: Ordered and Multinomial Models (Quantitative Applications in the Social Sciences). Sage Publications, Inc, 2001.

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Glasgow, Garrett, and R. Michael Alvarez. Discrete Choice Methods. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0022.

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This article describes the statistical models commonly used to study discrete choices. It concentrates on the ‘basic’ discrete choice models, and the theoretical choice situations that lead to these models. Specifically the choice situation addressed include: the ordered choice situation and the unordered choice situation. In addition, the article discusses two extensions of the basic discrete choice models commonly seen in political science research — models allowing for heteroskedasticity in the choices made across political agents (such as the heteroskedastic probit), and models that estimate substitution patterns across choice alternatives (such as the multinomial probit and mixed logit). Suggestions for further reading are also given.
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Book chapters on the topic "Probit multinomial"

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Nobile, Agostino, Chandra R. Bhat, and Eric I. Pas. "A Random-Effects Multinomial Probit Model of Car Ownership Choice." In Case Studies in Bayesian Statistics. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-2290-3_13.

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Schofield, Normal, Andrew D. Martin, Kevin M. Quinn, and Andrew B. Whitford. "Multiparty electoral competition in the Netherlands and Germany: A model based on multinomial probit." In Empirical Studies in Comparative Politics. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-5127-7_3.

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Ramos, Francisco Fernando Ribeiro. "Estimating the Benefit and the Environmental Quality Preference in Multinomial Probit Models Using a Simulation Approach." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13078-1_105.

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Higano, Yoshiro. "Introduction: Real Estate Tax System and Real Estate Market in Japan." In New Frontiers in Regional Science: Asian Perspectives. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8848-8_8.

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AbstractThis introduction summarizes chapters of Part II. In Chap. 10.1007/978-981-15-8848-8_9, Yamamoto (Jpn J Real Estate Sci 31:88–96, 2018) has compared between the street method, the asset valuation adopted for the imposition of property tax in Japan, and the computer-assisted mass appraisal (CAMA) method generally adopted in North America focusing on education and training of valuators. In Chap. 10.1007/978-981-15-8848-8_10, Yamazaki (Jpn J Real Estate Sci 31:97–101, 2018) argues that one of the major causes for relatively low density use of land in the city in Japan is the land tax system. He focuses on property tax and examines defects of the tax from view of economist. In Chap. 10.1007/978-981-15-8848-8_11, Kobayashi (Jpn J Real Estate Sci 31:129–138, 2018), taking an actual example, has examined difference between precise legal interpretation of ‘exemption from real estate acquisition tax due to purpose of use’ and taxation practices conducted by local administrative bodies. In Chap. 10.1007/978-981-15-8848-8_12, Shirakawa and Okoshi (Jpn J Real Estate Sci 31:88–96, 2017) have shown that the real estate companies were committed to transactions as dual agencies to whatsoever degree, and analyzed attributes of real estate brokerage companies which are able to be dual agencies and how such dual agency affects contract price.In Chap. 10.1007/978-981-15-8848-8_13, Ueno (Jpn J Real Estate Sci 31:97–105, 2017) has analyzed impacts of the macroeconomic conditions on the land price gradient curves which are estimated using real estate data of the Tokyo Metropolitan Area in 1970, 1976, 1985, 1988, 1994, 2008, 2010, and 2016. In Chap. 10.1007/978-981-15-8848-8_14, Komatsu (Jpn J Real Estate Sci 31:110–118, 2017) has analyzed impacts that refurbishment of existing apartment has on possible increase in rent using the multinomial probit model and the Tobit model. In Chap. 10.1007/978-981-15-8848-8_15, Hanazato (Jpn J Real Estate Sci 31:119–128, 2017) has shown that around 90% of condominium reconstruction cases are predictable using the estimated discriminant function in terms of objective real estate data only. In Chap. 10.1007/978-981-15-8848-8_16, Ota et al. (Jpn J Real Estate Sci 31:109–119, 2018) have analyzed determinants of rent for rental house, office, and shop within 10-min walking distance from Shibuya Station in Tokyo. Multiple regression analyses are conducted and have shown that space syntax (SS) measures (Hillier and Hanson, The Social Logic of Space. Cambridge University Press, Cambridge, 1984) significantly affect rent as well as conventional location attributes.
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Wang, Yan, Xuelei Sherry Ni, and Xiao Huang. "Towards Profitability: A Profit-Sensitive Multinomial Logistic Regression for Credit Scoring in Peer-to-Peer Lending." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18461-1_46.

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McCulloch, Robert E., and Peter E. Rossi. "Bayesian analysis of the multinomial probit model." In Simulation-based Inference in Econometrics. Cambridge University Press, 2000. http://dx.doi.org/10.1017/cbo9780511751981.009.

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"5. Multinomial Logistic and Probit Regression Models." In Regression Models for Categorical, Count, and Related Variables. University of California Press, 2019. http://dx.doi.org/10.1525/9780520965492-007.

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Lavy, Victor, Michael Palumbo, and Steven Stern. "SIMULATION OF MULTINOMIAL PROBIT PROBABILITIES AND IMPUTATION OF MISSING DATA." In Advances in Econometrics. Emerald Group Publishing Limited, 1999. http://dx.doi.org/10.1108/s0731-9053(1999)0000013008.

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Alkan, Ömer, and İkram Yusuf Yarbaşı. "Investigation of Alcohol Consumption Determinants in Turkey With Multinomial Probit Model." In Global Developments in Healthcare and Medical Tourism. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9787-2.ch008.

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The main objective of this study is to determine key factors that may have a significant effect on alcohol consumption in Turkey. For this purpose, the cross-sectional data obtained from the Turkish Health Survey conducted in 2010 and 2012 by the Turkish Statistical Institute were analyzed through the multinomial probit model. Results revealed that several key variables were found to be a significant determinant of alcohol consumption, such as gender, age, education, marital status, income, general health status, tooth brushing frequency, situation of violence, fruit consumption frequency, tobacco use, exposure to tobacco smoke, and survey year. It is apparent that alcoholics need help to get rid of an addiction. Therefore, it would be inevitable for governments to intervene through national and international public health authorities. In particular, the ability of governments to design and implement comprehensive prevention strategies that combine the strengths of different policy approaches is critical to success.
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"An Empirical Assessment of Multinomial Probit and Logit Models for Recreation Demand." In Valuing Recreation and the Environment. Edward Elgar Publishing, 1999. http://dx.doi.org/10.4337/9781035306039.00012.

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Conference papers on the topic "Probit multinomial"

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Yu, Lijun, and Qiuyan Xie. "Bayesian estimation of multinomial probit model for commuter mode choice." In 2011 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI). IEEE, 2011. http://dx.doi.org/10.1109/soli.2011.5986520.

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Islam, S. K. Minhazul, and Arunava Banerjee. "Variational Inference on Infinite Mixtures of Inverse Gaussian, Multinomial Probit and Exponential Regression." In 2014 13th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2014. http://dx.doi.org/10.1109/icmla.2014.50.

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Abdiyeva, Raziya, Burulcha Sulaimanova, and Kamalbek Karymshakov. "Gender Differences, Risk Attitude and Entrepreneurship in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c09.01965.

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This study analyses the role of risk attitude for entrepreneurship by gender differences in Kyrgyzstan. Multinomial probit analysis is applied to the data set drawn from the nationally representative survey “Life in Kyrgyzstan” for 2011. Entrepreneurship is measured through the agricultural and non-agricultural sample. Results of the study show that more risk taking preferences are associated with higher entrepreneurship probability. However, this effect is not persistent for women in further estimations for non-agricultural entrepreneurship sample, while for men higher positive effect of risk loving behavior remains in off-farm self-employment too. &#x0D;
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Fiarni, Cut, Herastia Maharani, and Gabriella Regina Wisastra. "Opinion Mining Model System For Indonesian Non Profit Organization Using Multinomial Naive Bayes Algorithm." In 2020 8th International Conference on Information and Communication Technology (ICoICT). IEEE, 2020. http://dx.doi.org/10.1109/icoict49345.2020.9166391.

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Resende, Camilo B., C. Grace Heckmann, and Jeremy J. Michalek. "Robust Design for Profit Maximization Under Uncertainty of Consumer Choice Model Parameters Using the Delta Method." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48409.

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In new product design, risk averse firms must consider downside risk in addition to expected profitability, since some designs are associated with greater market uncertainty than others. We propose an approach to robust optimal product design for profit maximization by introducing an α-profit metric to manage expected profitability vs. downside risk due to uncertainty in market share predictions. Our goal is to maximize profit at a firm-specified level of risk tolerance. Specifically, we find the design that maximizes the α-profit: the value that the firm has a (1−α) chance of exceeding, given the distribution of possible outcomes. The parameter α∈[0,1] is set by the firm to reflect sensitivity to downside risk (or upside gain), and parametric study of α reveals the sensitivity of optimal design choices to firm risk preference. We account here only for uncertainty of choice model parameter estimates due to finite data sampling when the choice model is assumed to be correctly specified (no misspecification error). We apply the delta method to estimate the mapping from uncertainty in discrete choice model parameters to uncertainty of profit outcomes and identify the estimated α-profit as a closed form function of design decision variables. This process is described for the multinomial logit model, and a case study demonstrates implementation of the method to find the optimal design characteristics of a midsize consumer automobile.
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Liao, Hao-yu, Karthik Boregowda, Willie Cade, and Sara Behdad. "Machine Learning to Predict Medical Devices Repair and Maintenance Needs." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71333.

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Abstract Products often experience different failure and repair needs during their lifespan. Prediction of the type of failure is crucial to the maintenance team for various reasons, such as realizing the device performance, creating standard strategies for repair, and analyzing the trade-off between cost and profit of repair. This study aims to apply machine learning tools to forecast failure types of medical devices and help the maintenance team properly decides on repair strategies based on a limited dataset. Two types of medical devices are used as the case study. The main challenge resides in using the limited attributes of the dataset to forecast product failure type. First, a multilayer perceptron (MLP) algorithm is used as a regression model to forecast three attributes, including the time of next failure, repair time, and repair time z-scores. Then, eight classification models, including Naïve Bayes with Bernoulli (NB-Bernoulli), Gaussian (NB-Gaussian), Multinomial (NB-Multinomial) model, Support Vector Machine with linear (SVM-Linear), polynomial (SVM-Poly), sigmoid (SVM-Sigmoid), and radical basis (SVM-RBF) function, and K-Nearest Neighbors (KNN) are used to forecast the failure type. Finally, Gaussian Mixture Model (GMM) is used to identify maintenance conditions for each product. The results reveal that the classification models could forecast failure type with similar performance, although the attributes of the dataset were limited.
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Dumala, Anveshini, Anusha Papasani, Rajeswari Bommala, and Vikkurty Sireesha. "Identifying Rotten Region on the Plant Leaf in Advance to Increase the Crop Yield using Multinominal Probit Regression." In 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC). IEEE, 2022. http://dx.doi.org/10.1109/icaaic53929.2022.9792804.

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Shiau, Ching-Shin, Ian H. Tseng, Andrew W. Heutchy, and Jeremy Michalek. "Design Optimization of a Laptop Computer Using Aggregate and Mixed Logit Demand Models With Consumer Survey Data." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34883.

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Laptop computers are designed in a variety of shapes and sizes in order to satisfy diverse consumer preferences. Each design is optimized to attract consumers with a particular set of preferences for design tradeoffs. Gaining a better understanding of these tradeoffs and preferences is beneficial to both laptop designers and to consumers. This paper introduces an engineering model for laptop computer design and a demand model derived from a main-effects choice-based conjoint survey. Several demand model specifications are compared, including linear-in-parameters and discrete part-worth specifications for aggregate multinomial logit and mixed logit models. An integrated optimization scheme combines the engineering model with each demand model form for profit maximization. The solutions of different optimal laptop designs and market share predictions resulting from the unique characteristics of each demand model specification are examined and compared.
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Donndelinger, Joseph A., Jeffrey A. Robinson, and Luke A. Wissmann. "Choice Model Specification in Market-Based Engineering Design." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50071.

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The application of market demand models in engineering design is now a well-established practice. One could consider the archetypical application to be a random utility model used in conjunction with a parametric design representation to optimize the design of a single product with respect to a risk-adjusted measure of profit. Much of the work in this area over the past decade has been focused on various extensions of this archetypical framework, such as problem decomposition and product family design. A wide variety of market demand models have been applied, including models derived from classic economic methods and random utility models spanning from multinomial logit through generalized extreme value to mixed logit. While there has been some discussion of the properties of the various choices of market demand models used in prior work, the most recent work in this area suggests that the consequences of market demand model specification in engineering design problems are both more significant than once realized and not yet fully understood. In this paper, we explore the consequences of market demand model specification specifically in the context of engineering design through both a review of prior work and an illustrative example problem featuring a market demand model parameterized in terms of reservation price. These results demonstrate that choices in market demand model specification — especially those relating to representation of customer heterogeneity — can lead to substantially different conclusions in a discrete product configuration design problem.
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Reports on the topic "Probit multinomial"

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Burda, Martin, Matthew C. Harding, and Jerry Hausman. A Bayesian mixed logit-probit model for multinomial choice. Institute for Fiscal Studies, 2008. http://dx.doi.org/10.1920/wp.cem.2008.2308.

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Borsch-Supan, Axel, Vassilis Hajivassiliou, Laurence Kotlikoff, and John Morris. Health, Children, and Elderly Living Arrangements: A Multiperiod-Multinomial Probit Model with Unobserved Heterogeneity and Autocorrelated Errors. National Bureau of Economic Research, 1990. http://dx.doi.org/10.3386/w3343.

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Sulaimanova, Burulcha, Dina Azhgaliyeva, Hans Holzhacker, and Indra Overland. Heat Adaptation in Central Asia: Household Cooling Choices. Asian Development Bank, 2025. https://doi.org/10.22617/wps250245-2.

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This paper examines how households in the Kyrgyz Republic, Tajikistan, and Uzbekistan adapt their cooling strategies to power outages and increasing temperatures. It highlights the importance of reliable power and the potential of solar panels to meet summer energy demands. The analysis uses 2023 survey data and a multinomial probit model to examine socioeconomic, environmental, and power supply factors. Across the three countries, it finds that 48% of households use fans or sunscreen films (without air-conditioning), 30% use no cooling, and 22% use air conditioning, and notes significant variations between countries.
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Sosa-Rubi, Sandra, Omar Galarraga, and Jeffrey Harris. Heterogeneous Impact of the "Seguro Popular" Program on the Utilization of Obstetrical Services in Mexico, 2001-2006: A Multinomial Probit Model with a Discrete Endogenous Variable. National Bureau of Economic Research, 2007. http://dx.doi.org/10.3386/w13498.

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