Academic literature on the topic 'Probit Logit'

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Journal articles on the topic "Probit Logit"

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Opic, Sinisa. "Specifics of logit and probit regression in education sciences - why wouldn't we use it?" Cypriot Journal of Educational Sciences 15, no. 6 (2020): 1557–68. http://dx.doi.org/10.18844/cjes.v15i6.5305.

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Regression is one of the dominant analysis methods used in the social sciences and educational sciences. There are different regression methods based on the type of research that is being conducted. The probit and logit regression models are regression methods which are being used recently by most researchers. However, their interpretations are not straightfoward and most researchers end up misinterepreting the results from the probit and logit regression models. This research therefore aims to examine the differences between the probit and logit models, in comparison with other linear regression models. Using a comparative research design, this study utilises resources from previous researchers, hence, the study took a form of a literature review. The results of this study is essential to educational and social sciences researchers who make use of the probit, logit and other regression methods. The research also explains why logit and probit should be used in place of other regression models.
 
 Keywords: education sciences; Linear regression; Logit; Probit; Regression
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Chen, Guo, and Hiroki Tsurumi. "Probit and Logit Model Selection." Communications in Statistics - Theory and Methods 40, no. 1 (2010): 159–75. http://dx.doi.org/10.1080/03610920903377799.

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Jones, Bradford S., and Regina P. Branton. "Beyond Logit and Probit: Cox Duration Models of Single, Repeating, and Competing Events for State Policy Adoption." State Politics & Policy Quarterly 5, no. 4 (2005): 420–43. http://dx.doi.org/10.1177/153244000500500406.

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Since 1990, the standard statistical approach for studying state policy adoption has been an event history analysis using binary link models, such as logit or probit. In this article, we evaluate this logit-probit approach and consider some alternative strategies for state policy adoption research. In particular, we discuss the Cox model, which avoids the need to parameterize the baseline hazard function and, therefore, is often preferable to the logit-probit approach. Furthermore, we demonstrate how the Cox model can be modified to deal effectively with repeatable and competing events, events that the logit-probit approach cannot be used to model.
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Roque, Daniel Isaac, John Hernando Escobar Rodríguez, Diana Patricia Gutiérrez Mejía, and Alba Yaneth Varón Torres. "Medición de la calidad financiera en empresas del sector manufacturero colombiano." Revista Venezolana de Gerencia 29, no. 107 (2024): 1195–210. http://dx.doi.org/10.52080/rvgluz.29.107.13.

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Esta investigación se enfoca en medir la calidad de la información financiera en empresas del sector manufacturero colombiano mediante la aplicación de los modelos Beneish M-score, Probit y Logit. El objetivo de este estudio consiste en aplicar los modelos de puntaje M, Probit y Logit para identificar y medir posibles perfiles manipuladores basados en la calidad de la información financiera. La investigación se clasifica como exploratoria, con un diseño no experimental y un enfoque cuantitativo. La muestra representativa abarcó a 470 empresas del sector manufacturero colombiano que presentaron sus estados financieros entre 2016 y 2020. Los resultados obtenidos mediante la aplicación de los modelos Beneish M-score, Probit y Logit revelaron prácticas contables que comprometen la calidad de la información financiera proporcionada por las empresas analizadas. La combinación de estos modelos permitió identificar con alto grado de certeza los perfiles de empresas que manipularon la información financiera durante el periodo establecido. Como conclusión, este estudio respalda la confiabilidad de los modelos Beneish M-score, Probi ty Logit como herramientas eficaces para detectar posibles casos de fraude contable.
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Park, Seongmin, and Juneyoung Park. "Multilevel Mixed-Effects Models to Identify Contributing Factors on Freight Vehicle Crash Severity." Sustainability 14, no. 19 (2022): 11804. http://dx.doi.org/10.3390/su141911804.

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Freight vehicle crashes are more serious than regular vehicle crashes because they are likely to lead to major damage and injury once they occur; therefore, countermeasures are needed. The fatality rate from freight vehicle crashes is 1.5 times higher than that of all other accidents, and the death rate from expressway freight vehicle crashes continues to increase. In this study, the ten-freight-vehicle crash severity models (the ordered logit and probit model, the multinomial logit and probit model, mixed-effects logit and probit model, random-effects ordered logit and probit model, and multilevel mixed-effects ordered logit and probit model) are used to analyze the freight vehicle crash severity factors. The model was constructed using data collected from expressways over eight years, and 13 factors were derived to increase the severity of crashes and 7 factors to reduce the severity of crashes. As a result of comparing the 10 constructed models using AIC and BIC, the multilevel mixed-effects ordered probit model showed the best performance. It is expected that it can contribute to improving the safety of freight vehicles in the expressway section by utilizing factors related to the severity of crashes derived from this study.
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Braumoeller, Bear F. "Boolean Logit and Probit in Stata." Stata Journal: Promoting communications on statistics and Stata 4, no. 4 (2004): 436–41. http://dx.doi.org/10.1177/1536867x0400400406.

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Kmenta, Jan, John H. Aldrich, Forrest D. Nelson, Paul Newbold, and Theodore Bos. "Linear Probability, Logit, and Probit Models." Journal of the American Statistical Association 83, no. 401 (1988): 272. http://dx.doi.org/10.2307/2288960.

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Everitt, Brian. "Linear probability logit and probit models." Personality and Individual Differences 8, no. 6 (1987): 985. http://dx.doi.org/10.1016/0191-8869(87)90158-9.

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Maryam, Khalili Araghi, and Makvandi Sara. "Evaluating Predictive power of Data Envelopment Analysis Technique Compared with Logit and Probit Models in Predicting Corporate Bankruptcy." Australian Journal of Business and Management Research 02, no. 09 (2012): 38–46. http://dx.doi.org/10.52283/nswrca.ajbmr.20120209a05.

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Simultaneous with extensive environmental changes and the rapid development of technology which has increasingly accelerated economy, competitiveness economical enterprises have restricted earning profit and make probable closing of bankrupt firms. Thus it seems necessary to find a model that can predict financial crisis and bankruptcy of companies. Nowadays occurrence of significant progress in other sciences, such as computer and math attract the attention of the financial scholars toward designing and using more exact patterns like Data Envelopment Analysis (DEA). For this purpose, this study uses DEA technique to predict the bankruptcy likelihood of manufacturing firms and also compare its predictability with2 methods : Logit and Probit models. Study sample includes all manufacturing firms listed in Stock Exchange of Tehran from 2000-2010. The results showed that the accuracy of the designed model under DEA technique is %72 and the predictability of Logit and Probit models has been81, and %80 respectively. The results also showed DEA was proved to be an effective tool for predicting bankruptcy likelihood of manufacturing firms; but,it acted less efficient than Logit and Probit models.
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Daniel, Isaac Roque, Hernando Escobar Rodríguez John, Patricia Gutiérrez Mejía Diana, and Yaneth Varón Torres Alba. "Medición de la calidad financiera en empresas del sector manufacturero colombiano." Revista Venezolana de Gerencia (RVG). Facultad de Ciencias Económicas y Sociales. Universidad del Zulia. 29, no. 107 (2024): 1195–210. https://doi.org/10.52080/rvgluz.29.107.13.

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Esta investigación se enfoca en medir la calidad de la información financiera en empresas del sector manufacturero colombiano mediante la aplicación de los modelos Beneish M-score, Probit y Logit. El objetivo de este estudio consiste en aplicar los modelos de puntaje M, Probit y Logit para identificar y medir posibles perfiles manipuladores basados en la calidad de la información financiera. La investigación se clasifica como exploratoria, con un diseño no experimental y un enfoque cuantitativo. La muestra representativa abarcó a 470 empresas del sector manufacturero colombiano que presentaron sus estados financieros entre 2016 y 2020. Los resultados obtenidos mediante la aplicación de los modelos Beneish M-score, Probit y Logit revelaron prácticas contables que comprometen la calidad de la información financiera proporcionada por las empresas analizadas. La combinación de estos modelos permitió identificar con alto grado de certeza los perfiles de empresas que manipularon la información financiera durante el periodo establecido. Como conclusión, este estudio respalda la confiabilidad de los modelos Beneish M-score, Probi ty Logit como herramientas eficaces para detectar posibles casos de fraude contable.
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Dissertations / Theses on the topic "Probit Logit"

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SAIDI, ABDELNASSER. "Modeles logit et probit d'analyse des variables qualitatives." Grenoble 2, 1987. http://www.theses.fr/1987GRE21030.

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Divers types de modeles logit et probit sont etudies en vue de l'explication des modalites prises par une ou plusieurs variables, en fonction de variables explicatives. Dans le cadre d'une seule variable binaire, le modele dichotomique simple logit et probit ainsi que ses erreurs de specification sont traites. Les modeles logit et probit polytome multinomial ou conditionnel sont analyses lorsque la variable a expliquer est a plusieurs modalites. L'etude et la modelisation simultanee de plusieurs variables qualitatives fait appel au modele descriptif et explicatif log-lineaire, au modele a reponses multinomiales, ou aux modeles a equations simultanees logit et probit lorsque parmi les variables explicatives figurent des variables endogenes. Enfin dans le cas de donnees binaires individuelles temporelles et sous differentes hypotheses de vraie dependance entre les etats du processus, de non stationnarite et d'heterogeneite, nous etudions les solutions theoriques et la mise en oeuvre informatique des modeles logit et probit associes<br>Several types of logit and probit models are studied in ordrer to explain levels related to one or many qualitative variables by explanatory variables. Simple dichotomous logit and probit models and their specification errors are discussed. Are also analyzed multinomial and conditional polychotomous in the case of logit and probit models when the dependent variable possesses several levels. The study and the simultaneous modelisation of two or many qualitative variables deal with descriptive and explanatory log linear model, multinomial responses models, and simultaneous equations logit and probit models when some of the explanatory variables are endogeneous. Finally in the case of individual temporal binary data and with some different true dependency hypothesis between process states, non stationarity and heterogeneity, we study not only the theorical solutions but the computational work of logit and probit models associated as well
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Zocchi, Sílvio Sandoval. "Misturas de modelos"Logit","Probit"e"Complemento Log-Log"." Universidade de São Paulo, 1993. http://teses.usp.br/teses/disponiveis/11/11134/tde-20181127-154907/.

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Nos ensaios de dose e resposta, geralmente são aplicadas diferentes intensidades (doses) de um estímulo (produto) a diferentes grupos de uma população de indivíduos, que poderão responder ou não. A dose máxima que cada indivíduo tolera é chamada tolerância e no caso de se considerar toda a população, ter-se-á uma distribuição de tolerâncias. Muitas vezes, porém, dentro de uma mesma população, existe uma mistura de indivíduos de diferentes sexos, raças, estágios de desenvolvimento, etc., caracterizando subpopulações com diferentes distribuições de tolerâncias. LWIN & MARTIN (1989) apresentam uma mistura de modelos probit". Neste trabalho, faz-se um estudo geral para misturas de modelos"probit","logit"e"complemento-log-log". Para a estimação dos parâmetros desses modelos, utilizou-se o método de escores de Fisher e uma modificação do algoritmo EM, implementados através dos pacotes computacionais Excel 4.0 for Windows e GLIM. Para exemplificar essa metodologia, foi conduzido e analisado um ensaio de resistência da mosca (<!>Musca. Domestica</!>.) ao inseticida deltametrina. Analisou-se, ainda, um ensaio de sensibilidade de um isolado do fungo <!>Metarhizium anisopliae</!> a diferentes doses de radiação e reanalisou-se o ensaio de resistência dos ovos do verme <!>Ostergagia. Spp.</!> a diferentes doses de tiabendazol (TEZ), apresentado por LWIN & MARTIN (1989). Observou-se a adequação do método aos casos em que havia razões biológicas para a existência de uma mistura de distribuições, confirmada pelo mau ajuste de modelos para uma única distribuição. Confirmando o que afirmaram TITTERINGTON & MORGAN (1977), observou-se, ainda, na estimação dos parâmetros do modelo de misturas, a menor velocidade de convergência do algoritmo EM, quando comparado com o método de Newton-Raphson modificado (método de escores de Fisher)<br>not available
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Penzo, Noemi <1989&gt. "Modelli logit, probit e gompit per la valutazione del rischio sistemico." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/6673.

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La crisi finanziaria del 2007-2009 non solo ha attaccato l’economia globale in maniera diversificata, ma ha anche generato effetti differenti per i diversi paesi colpiti. Proprio avendo preso atto della crisi di liquidità, che si è profilata in Europa e non solo, e della presenza di situazioni di estrema difficoltà in cui versano i mercati finanziari, si è dovuto riscoprire una tipologia di rischio che prima della crisi era stato considerato secondariamente, si tratta del rischio sistemico. Questa tipologia di rischio non scaturisce, come si pensava inizialmente, solo a seguito di crisi di tipo valutario o di crisi bancarie, ma oltre alle banche ha colpito anche altri settori come hedge funds, assicurazioni, brokers ecc. Per studiare la salute del nostro sistema economico bisogna andare ad analizzare le relazioni esistenti all’interno di un sistema in cui autorità di vigilanza, intermediari finanziari e destinatari dei servizi offerti sono sempre più legati tra loro. Il legame tra queste figure che lavorano nei mercati è così forte che uno shock, che può essere creato da una qualsiasi tipologia di evento negativo, riesce a diffondersi talmente velocemente da riuscire a produrre quell’effetto definito “effetto domino” che va a colpire tutti gli intermediari presenti sul mercato. A seguito di questa “reazione a catena” le tensioni che si vengono a generare a causa del fallimento di una società di intermediazione finanziaria o di una banca, si ripercuotono non solo sugli altri intermediari ma anche nei diversi mercati, provocando il fallimento di tutti quei soggetti che sono presenti sul mercato. La crisi è riuscita a mettere in risalto come gli operatori di mercato non siano capaci di reggere un sistema che, grazie ai progressi tecnologici dell’informazione e ai diffusissimi mezzi di comunicazione, risulta effettivamente complesso. Per questo motivo organizzazioni internazionali e le banche centrali hanno concentrato sforzi e tempo per incrementare modelli e strumenti che siano d’aiuto al fine di valutare, individuare e monitorare costantemente possibili minacce che possono andare ad intaccare la stabilità del sistema. La recente crisi finanziaria ha messo in risalto quelli che sono i limiti del nostro sistema, sia dal punto di vista della regolamentazione, che da quello della supervisione degli intermediari e dei mercati. Il problema più evidente è dato dal fatto che si è sempre posta l’attenzione sulla solidità delle singole componenti che compongono il sistema finanziario, cioè inizialmente si è sempre avuto un approccio micro-prudenziale anziché tenere presente la stabilità del sistema nella sua complessità. La crisi infatti ha mostrato come il sistema è stato vulnerabile, tant’è vero che shock che si ritenevano circoscritti a determinati settori, hanno infine intaccato l’intero sistema.
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Lejnarová, Šárka. "Modely diskrétní binární volby." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-1615.

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Ve své diplomové práci se zabývám modely diskrétní binární volby. Zkoumám je nejprve z teoretického hlediska, jaká je jejich podstata, jaká jsou jejich specifika a problémy. Postupně rozebírám jednotlivé modely diskrétní binární volby a to lineární pravděpodobnostní model, logitový model a probitový model. Zabývám se jejich odhadem, testováním významnosti jednotlivých koeficientů a shodou modelů s daty. V praktické části se zaměřuji na problematiku životního prostředí a třídění odpadu. Aplikuji jednotlivé modely na získaná data a snažím se vysvětlit, na čem závisí volba jedince mezi ?třídím odpad? a nebo ?netřídím odpad?. Na základě analýzy poté doporučuji, na koho a jakým způsobem zacílit osvětu.
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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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Cava, Patrícia Benites. "Determinantes da atividade exportadora: uma análise das empresas paulistas." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/18/18157/tde-29112010-114106/.

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As importantes mudanças macroeconômicas e a abertura comercial ocorridas na década de 90 tiveram como uma de suas conseqüências a reversão dos superávits comerciais. Esse fato gerou uma série de análises sobre a composição das importações e exportações das firmas brasileiras. Com a abertura comercial, as empresas passaram a investir na racionalização de processos produtivos e gerenciais para se tornarem competitivas. A desvalorização da taxa de câmbio, no final da década de 90, implicou no aumento significativo da parcela exportada pela indústria brasileira e mudanças ocorreram na estratégia competitiva da indústria. A análise destas diferenças e do caminho percorrido por elas contribuem para um melhor mapeamento e discussão das condições competitivas da indústria no mercado internacional. Diante desse contexto, o objetivo do presente trabalho é identificar os principais determinantes da atividade exportadora de indústrias paulistas. Para alcançar o objetivo proposto, utilizou-se dados referentes aos anos de 1996 e 2001 de indústrias paulistas, disponíveis na Pesquisa da Atividade Econômica Paulista (PAEP), realizada pela Fundação Estadual de Análise de Dados (SEADE). Os dois períodos de análise apresentam características distintas no que se refere ao contexto econômico, o que pode ter acarretado na adoção de estratégias competitivas diferentes pelas empresas. Para a estimação dos parâmetros das variáveis explicativas adotou-se os métodos Probit e Logit. Os resultados da pesquisa permitiram identificar o tamanho da empresa, participação estrangeira no capital, idade, importação e inovação tecnológica como determinantes da atividade exportadora das indústrias paulistas. A produtividade do trabalho e a qualificação do trabalho apresentaram resultados distintos para os anos de 1996 e 2001.<br>Major macroeconomic changes and trade liberalization occurred in the 90s had as one of their consequences the reversal of trade surpluses. This has raised a number of reviews on the composition of imports and exports of Brazilian firms. With the trade liberalization, companies started to invest in the rationalization of production processes and management in order to become competitive. The devaluation of the exchange rate in the end of the 90s, resulted in significant increase in the share exported by the Brazilian industry and changes occurred in the competitive strategy of the industry. The analysis of these differences contributes to a better mapping and discussion of competitive conditions in the industry internationally. In this context, the objective of this study is to identify the main determinants of export activity of Paulistas industries. To achieve the proposed objective, we used data for the years 1996 and 2001 from Paulistas industries, available on the Pesquisa da Atividade Econômica Paulista (PAEP) held by the Fundação Estadual de Análise de Dados (SEADE). These periods have different characteristics with regard to the economic context, which may have led to the adoption of different competitive strategies by companies. For the estimation of the explanatory variables we adopted the methods Probit and Logit. The research results have identified the company size, foreign ownership, age, import and technological innovation as determinants of export activity of the Paulistas industries. The labor productivity and skilled labor showed different results for the years 1996 and 2001.
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Santos, Joceline Brigitte Fernandes dos. "Crises bancárias e suas causas : o caso da Argentina." Master's thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10739.

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Mestrado em Economia Monetária e Financeira<br>O presente trabalho estuda as causas das crises bancárias, com base na análise dos rácios financeiros do balanço dos bancos. Nesse sentido, recorremos a uma metodologia que consiste em estimar três regressões diferentes para a probabilidade de falência dos bancos, através dos modelos Logit e Probit, para uma amostra de 99 bancos Argentinos. O objetivo foi saber se as falências bancárias ocorridas durante a crise Argentina de 2001 se explicam por factores monetários ou factores reais, uma vez que o debate teórico se situa nesta dicotomia. Os resultados encontrados são semelhantes para a estimação Logit e Probit e sugerem que apenas os factores monetários explicam a probabilidade de ocorrência das falências.<br>This paper studies the causes of banking crisis, based on the analysis of financial ratios of the banks' balance sheets. In this sense, we used a methodology that consists in estimating three different regressions for the probability of bank failure, through Logit and Probit models for a sample of 99 Argentine banks. The objective was to determine whether the bank failures that have occurred during the Argentina´s 2001 economic crisis are explained by monetary or real factors, since the theoretical debate lies in this dichotomy. The results are similar for Logit and Probit estimation and suggest that only the monetary factors explain the likelihood of bankruptcy.
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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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Faria, Rute Quelvia de. "Avaliação dos modelos Probit e Logit com aplicação na longevidade de sementes de soja /." Botucatu, 2019. http://hdl.handle.net/11449/192673.

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Orientador: Maria Márcia Pereira Sartori<br>Resumo: O estudo da longevidade é uma ferramenta importante na análise da qualidade fisiológica em sementes. A modelagem da curva de sobrevivência em sementes permite a predição do seu período de vida, que baliza os mais variados estudos em conservação e tecnologia de sementes. O modelo de Probit foi inicialmente proposto como o modelo ideal para predição da longevidade das sementes, contudo, estudos têm reportado certa dificuldade de predição do modelo em diferentes condições de estresse e armazenagem a que as sementes são submetidas. A equação da viabilidade em sementes a partir do modelo de Probit permite calcular o valor do P50, que é o período em que um lote de sementes leva para perder 50% da sua viabilidade. O modelo de Logit é similar ao de Probit, com a vantagem de ser mais simples, e de se adequar melhor ao comportamento dos dados com caudas pesadas. Assim, o objetivo deste estudo foi avaliar os modelos de Probit e Logit quanto a sua robustez na predição da longevidade das sementes. Para tanto, sementes de soja foram selecionadas quanto ao seu vigor, em delineamento inteiramente casualizado, e armazenadas à 35°C e 75% de umidade relativa, até que fosse constatada sua morte, por meio de testes de germinação realizados periodicamente. A construção das curvas de sobrevivência, após o experimento encerrado, permitiu a análise dos modelos de Probit e Logit, por meio dos parâmetros R2, Rajustado, e do coeficiente de correlação de Pearson. O estudo da normalidade dos resíduos tamb... (Resumo completo, clicar acesso eletrônico abaixo)<br>Abstract: The study of longevity is an important tool in the analysis of physiological quality in seeds. The modeling of the survival curve in seeds allows the prediction of their half time life, which could be used to reference for the most varied studies on conservation and seed technology. The Probit model was initially proposed as the ideal model for seed longevity prediction, however, studies have reported about some errors found after applying the model under different stress and storage conditions in which seeds are submitted. The seed viability equation from the Probit model allows to calculate the value of P50, which is the period in which a seed lot loss 50% of its viability. The Logit model is similar to the Probit model, with the advantage of being simpler and better suited to heavy tails data, as occurs in seed longevity data. The aim of this study was to evaluate the Probit and Logit models for their robustness in predicting seed longevity. For this purpose, soybean seeds were selected according to their vigor, in a completely randomized design, and stored in 35 °C and 75% relative humidity until their death was verified by periodic germination tests. The construction of survival curves, after the experiment ended, allowed the analysis of Probit and Logit models, through the parameters R2 , Radjusted, and the Pearson correlation coefficient. The study of the normality of the residues was also performed to evaluate the models. The results showed the superiority of the Logi... (Complete abstract click electronic access below)<br>Doutor
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Books on the topic "Probit Logit"

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Borooah, Vani. Logit and Probit. SAGE Publications, Inc., 2002. http://dx.doi.org/10.4135/9781412984829.

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Fairlie, Robert W. An extension of the Blinder-Oaxaca decomposition technique to logit and probit models. IZA, 2006.

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Küchenhoff, Helmut. Logit- und Probitregression mit Fehlern in den Variabeln. A. Hain, 1990.

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Singh, Shergill Gurvinder, ed. The logic of New Zealand business: Strategy, sturcture, and performance. Oxford University Press, 1993.

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Interpreting probability models: Logit, probit, and other generalized linear models. Sage, 1994.

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Hagenaars, Jacques A. P. Interpreting and Comparing Effects in Logistic, Probit and Logit Regression. SAGE Publications, Incorporated, 2024.

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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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Comelli, Fabio. Comparing the Performance of Logit and Probit Early Warning Systems for Currency Crises in Emerging Market Economies. International Monetary Fund, 2014.

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Comelli, Fabio. Comparing the Performance of Logit and Probit Early Warning Systems for Currency Crises in Emerging Market Economies. International Monetary Fund, 2014.

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Comelli, Fabio. Comparing the Performance of Logit and Probit Early Warning Systems for Currency Crises in Emerging Market Economies. International Monetary Fund, 2014.

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Book chapters on the topic "Probit Logit"

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Hsiao, Cheng. "Logit and Probit Models." In Advanced Studies in Theoretical and Applied Econometrics. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-009-0375-3_11.

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Kumar, Sunil. "Probit and Logit Regression." In Python for Accounting and Finance. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54680-8_20.

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Nelson, Forrest D. "Logit, Probit and Tobit." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_1230-1.

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Nelson, Forrest D. "Logit, Probit and Tobit." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_1230.

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Hsiao, Cheng. "Logit and Probit Models." In Advanced Studies in Theoretical and Applied Econometrics. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0137-7_16.

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Nelson, Forrest D. "Logit, Probit and Tobit." In Econometrics. Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-20570-7_19.

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Gujarati, Damodar. "The Logit and Probit Models." In Econometrics. Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-1-137-37502-5_8.

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Albert, James H. "Logit, Probit, and Other Response Functions." In Handbook of Item Response Theory. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b19166-1.

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Dhrymes, Phoebus. "Discrete Choice Models: Logit and Probit Analysis." In Introductory Econometrics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65916-9_9.

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Kantar, Lokman. "Limited Dependent Variables (Logit and Probit Models) and an Application on BIST-100: Logit and Probit Models." In Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54108-8_7.

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Conference papers on the topic "Probit Logit"

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Kumar, Suraj, Debasruti Bhattacharya, and Mamoni Banerjee. "Key factors affecting the adoption of biopesticide using logit and probit model: A study from Bihar, India." In 2025 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2025. https://doi.org/10.1109/sustech63138.2025.11025790.

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Du, Yanrui, Sendong Zhao, Muzhen Cai, et al. "Probing the Dual Logic Ability of Privatized Medical-Domain LLMs." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822782.

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Ma, Jun, and Congying Li. "A comparison of Logit and Probit models using Monte Carlo simulation." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9550250.

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Li, Jun, Xinjun Lai, and Lianghui Xie. "A Modified Paired Combinatorial Logit Route Choice Model with Probit-Based Equivalent Impedance." In Third International Conference on Transportation Engineering (ICTE). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41184(419)107.

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Gao, Yang. "Analysis of Factors Influencing the Accession to the GPA---Logit and Probit Model Approach." In International Conference on Education, Management, Computer and Society. Atlantis Press, 2016. http://dx.doi.org/10.2991/emcs-16.2016.48.

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Cueva, Diego Fernando, Salvador Cortes, Rebeca Tapia, et al. "Financial fragility of companies — estimation of a probabilistic model LOGIT and PROBIT: Ecuadorian case." In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2017. http://dx.doi.org/10.23919/cisti.2017.7975927.

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Mishra, Pramod K. "Predicting the Producers’ Involvement in Dairy-Food Supply Chains Using Logit and Probit Models." In 2021 International Conference on Data Science, Artificial Intelligence, and Business Analytics (DATABIA). IEEE, 2021. http://dx.doi.org/10.1109/databia53375.2021.9650300.

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Li, Chia Hao. "Study of The Health Impact of Cooking Fuel Choice based on Logit and probit model." In 2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID). IEEE, 2020. http://dx.doi.org/10.1109/msieid52046.2020.00030.

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Kuruczleki, Éva. "Overcoming methodological issues in measuring financial literacy of companies, a proposed measurement model." In The Challenges of Analyzing Social and Economic Processes in the 21st Century. Szegedi Tudományegyetem Gazdaságtudományi Kar, 2020. http://dx.doi.org/10.14232/casep21c.16.

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In the past decade, individual and company financial literacy measurement methods went through substantial changes. To investigate factors contributing to financial literacy of both individuals and firms, scholars needed to reach out for new measurement methods other than the traditional knowledge tests widely used previously. This paper provides a synthesis of the most recent studies concerning both individual and company financial literacy regarding the dimensions of financial literacy and methods available for measuring and modelling financial literacy. The results highlight new emerging trends in the assessment: qualitative methods (e. g. interviews and case studies), for getting insight into very special segments of financial literacy, and more elaborate and complex models, such as OLS regression, bivariate and multivariate logit and probit models, which provide effective ways to get a deeper understanding of the interaction of factors forming and determining financial literacy both at the individual at company level. However, even though the toolkit of measuring financial literacy is getting richer and richer, the connection between the individual and firm-level models seem to be nonexistent. This paper proposes a measurement model with the help of which company financial literacy can be measured through the assessment of individuals and their relationship contributing to firm-level financial decisions.
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JIANG, TIANZI. "GOVERNMENTAL TRUST, NEW MEDIA USE AND NIMBY FACILITY’S ACCEPTANCE: EVIDENCE FROM CHINA." In 2023 9TH INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/dtssehs/isss2023/36054.

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In recent years, the increasing number of NIMBY (Not in My Back Yard) conflicts has had some negative impact on society and has also drawn the attention and research focus of scholars on the influencing factors of NIMBY acceptance. This study presents new evidence of governmental trust in NIMBY facility acceptance by introducing the moderating variable of citizens’ new media use and using OLS, Ordered Probit and Ordered Logit data analysis methods. Based on Chinese Social Survey (CSS) data from 2019, the empirical results show the following: (1) Greater governmental trust can increase citizens’ acceptance of NIMBY facilities and thus reduce NIMBY conflicts. (2) Citizens’ new media use plays a positive moderating role in the effect of governmental trust on citizens’ acceptance of NIMBY facilities, and the moderating effect is more significant in semiofficial and unofficial media. (3) The moderating effect of citizens’ new media use on the effect of governmental trust on NIMBY acceptance is more significant at the district and township government levels but not at the central government level. (4) Relative to urban residents, citizens in rural households are more receptive to NIMBY facilities. In light of the findings, policymakers should improve the public’s perception of trust in the government by expanding citizen participation and improving information disclosure and transparency. At the same time, the government should regard new media as a platform to release timely and effective information, reduce rumors, and provide some specific and supportive policies to urban citizens within the NIMBY construction.
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Reports on the topic "Probit Logit"

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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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Restrepo, Sergio, Roberto Steiner, Juan Camilo Medellín, César Pabón, and Adolfo Barajas. Balance Sheet Effects in Colombian Non-Financial Firms. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011769.

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After building up foreign currency-denominated (FC) liabilities over several years, the balance sheets of Colombian firms might be particularly vulnerable to a shift in external conditions. This paper undertakes four exercises in order to get a better understanding of these vulnerabilities. First, probit/logit estimations are used to identify the firm-level and macroeconomic determinants of FC borrowing by non-financial corporations. Second, the implications of the balance sheet vulnerability for real activity are investigated. Evidence is found of an FC balance sheet effect that transmits exchange rate fluctuations to firm-level investment, and show that that this effect is asymmetric, much greater for depreciations than for appreciations. Third, using logit/probit estimations, it is shown that not all firms use forward exchange derivatives solely to hedge their FC liabilities. This might be a consequence of exchange rate intervention by the monetary authority, protecting against extreme exchange rate misalignments. Finally, results are reported of a survey-based qualitative analysis on the hedging policies and activities of 12 large non-financial firms.
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Ogunbire, Abimbola, Panick Kalambay, Hardik Gajera, and Srinivas Pulugurtha. Deep Learning, Machine Learning, or Statistical Models for Weather-related Crash Severity Prediction. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2320.

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Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered probit model (OPM) were evaluated as statistical models, while random forest (RF) and XGBoost were evaluated as ML models. For DL, multi-layer perceptron (MLP) and TabNet were evaluated. The performance of these models varied across severity levels, with property damage only (PDO) predictions performing the best and severe injury predictions performing the worst. The TabNet model performed best in predicting severe injury and PDO crashes, while RF was the most effective in predicting moderate injury crashes. However, all models struggled with severe injury classification, indicating the potential need for model refinement and exploration of other techniques. Hence, the choice of model depends on the specific application and the relative costs of false negatives and false positives. This conclusion underscores the need for further research in this area to improve the prediction accuracy of severe and moderate injury incidents, ultimately improving available data that can be used to increase road safety.
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Koessl, Gerald. The system of limited-profit housing in Austria. CIRIEC, 2022. http://dx.doi.org/10.25518/ciriec.wp202204.

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Limited-profit housing plays a significant role in Austria’s housing market. Around a quarter of all households live in homes owned or managed by a limited-profit housing association (LPHA). These associations are characterised by a distinct business model, based on the premise of cost-recovery and revolving funds. By deviating both from the logic of for-profit housing and from public housing, LPHAs occupy a distinct ‘Third Sector’ role in Austria’s housing market. This paper describes the key mechanisms and principles of limited-profit housing, including how they are financed, how rents are set, what components are included in price calculations and how they use revolving funds to finance future affordable housing construction. The paper also elaborates the impact of the limited-profit business model on rent levels and draws on a recent study to demonstrate their wider economic impacts.
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Drusinsky, Doron. State Estimation of Non-monotonic, Partially Non-deterministic Software with Sparse Probing using an Unscented Kalman Filter Combined with Logic Reasoning. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada583474.

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Shen, Wei, and Chuchu Fu. China’s Engagement with DRC’s Critical Minerals Sector: Extractivism, Developmentalism, and the Quest for a Just Transition. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ids.2024.032.

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This Working Paper explores the multifaceted Chinese engagement in the Democratic Republic of the Congo's (DRC) copper and cobalt mining sector. We identified two distinctive approaches for such engagement: one led by central state-owned enterprises (CSOEs) and state-backed policy financial institutions (S-PFIs), and the other by a mix of public and private Chinese companies. The paper argues that while the former approach is embedded with a developmentalist ideology by aiming to utilise resource income to promote infrastructure development, the latter follows a typical extractivist logic of profit maximisation via mineral exports. It suggests that the developmentalist and extractivist approaches have generated significant socio-economic impacts on DRC's development trajectory at the national and local levels. Both pathways also face distinctive challenges in the context of regime and policy changes in DRC in recent years. Therefore, the quest for a just transition in DRC’s mining sector warrants a better understanding of different models of Chinese engagement in this critical sector at a rather distinctive historical juncture.
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Peñaloza, Rafael, and Anni-Yasmin Turhan. Completion-based computation of most specific concepts with limited role-depth for EL and Prob-EL⁰¹. Technische Universität Dresden, 2010. http://dx.doi.org/10.25368/2022.176.

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In Description Logics the reasoning service most specific concept (msc) constructs a concept description that generalizes an ABox individual into a concept description. For the Description Logic EL the msc may not exist, if computed with respect to general EL-TBoxes or cyclic ABoxes. However, it is still possible to find a concept description that is the msc up to a fixed role-depth, i.e. with respect to a maximal nesting of quantifiers. In this report we present a practical approach for computing the roledepth bounded msc, based on the polynomial-time completion algorithm for EL. We extend these methods to Prob-EL⁰¹c , which is a probabilistic variant of EL. Together with the companion report [9] this report devises computation methods for the bottom-up construction of knowledge bases for EL and Prob-EL⁰¹c .
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Tyson, Paul. Orchestrated Irrationality: Why It Exists and How It Might Be Resisted. Mέta | Centre for Postcapitalist Civilisation, 2022. http://dx.doi.org/10.55405/mwp13en.

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Orchestrated irrationality in our public discourse is produced by technologically enhanced and commercially purposed atomization and tribalism. Public discourse now leans away from a humane, free, and reasoned political rationality and towards self-interested, calculative, herd conformism. The bulls and bears of consumer society have largely displaced the civic logic of the liberal democratic pursuit of the common good. The power interests that govern global consumerism are enhanced by subordinating the common good ends of genuinely political life to the self-interested and profit driven dynamics of the market. Orchestrated irrationality in our public discourse makes politics into a meaningless theatre of incommensurate tribal interest narratives, which is a convenient distraction from the collaborative consolidation of market power and state control. This orchestrated irrationality can only be combatted by seeking to de-atomize citizens and de-tribalize the public square in order to recover the priority of political life over market and authoritarian power in our public discourse. That is, a postcapitalist civilization that is oriented to a genuinely political and universally moral rationality must replace the present global order. Once we can identify the problem and the direction of cure for orchestrated irrationality, we can then take steps towards a different civilizational life-world.
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