5. Multinomial Logistic and Probit Regression Models

2019 ◽  
pp. 111-130
Keyword(s):  
Regression Models ◽  
Probit Regression

scholarly journals Occupational exposure to foreigners and attitudes towards equal opportunities

2019 ◽  
Vol 8 (3) ◽  
pp. 382-423 ◽  
Author(s):  
Marco Pecoraro ◽  
Didier Ruedin
Keyword(s):  
Labour Market ◽  
Regression Models ◽  
Negative Association ◽  
Job Quality ◽  
Equal Opportunities ◽  
Probit Regression ◽  
Occupational Level ◽  
Positive Attitudes ◽  
The Relationship ◽  
Job Prospects

Abstract We examine the relationship between attitudes to foreigners and the share of foreigners at the occupational level. Using a question on equal opportunities for foreigners from the Swiss Household Panel, ordered probit regression models show a negative association between the share of foreigners in one’s occupation and positive attitudes to foreigners: workers seem to react to competition with foreigners. When we add the occupational unemployment rate, objective pressures in the labour market appear as relevant as contact at the occupational level. Further controlling for occupational heterogeneity establishes that both factors—particularly objective pressures—are probably accounted for by sorting on job quality. We also show that the association between the occupational share of foreigners and attitudes decreases for workers with better job prospects. This implies that workers welcome foreigners to overcome labour market shortages.

scholarly journals Pengaruh Faktor Sosial Ekonomi terhadap Perkawinan Muslim di Indonesia

2020 ◽  
Vol 6 (8) ◽  
pp. 1674
Author(s):  
Fauzia Aqilla Fadhil ◽  
Ilmiawan Auwalin
Keyword(s):  
Family Life ◽  
Regression Models ◽  
Probability Model ◽  
Muslim Women ◽  
Sample Population ◽  
Probit Regression ◽  
Linear Probability Model ◽  
Logit Regression ◽  
Indonesian Family Life Survey ◽  
Linear Probability

This study aims to find out what factors that affect a Muslim's decision to get married. This study uses the data from the Indonesian Family Life Survey (IFLS) with a quantitative approach using 83% of the sample population in Indonesia covering approximately 30,000 people taken in 13 of the 27 provinces in Indonesia. This study was analyzed using Linear Probability Model (LPM) regression, Logit regression and Probit regression. The data in this study were processed using STATA MP software. According to the results of data using three regression models, the factors that affect the decision of each individual in Indonesia in general to marry are gender, religion, age, education and occupation. The factors that affect each individual Muslim in Indonesia to make a decision to marry are gender, age, education and occupation. Then, for women in Indonesia in general, the factors that affect the decision to get married are religion, age, and occupation. Last but not least, for Muslim women, the factors that affect the decision to marry is age and occupation.Keywords: Socio-Economy, Muslim Marriage, Marital Decision

Advanced Modelling Strategies In Preterm Labour Risk

2016 ◽  
Vol 26 (5) ◽  
pp. 101-107
Author(s):  
Rosita Aniulienė ◽  
Birutė Žilaitienė ◽  
Rasa Grigolienė ◽  
Gintaras Pridotkas
Keyword(s):  
Risk Factors ◽  
Regression Models ◽  
Independent Risk Factor ◽  
Stepwise Regression ◽  
Case Control Study ◽  
Preterm Labour ◽  
Case Control ◽  
Probit Regression ◽  
Modelling Strategies ◽  
Control Study

We performed a case control study to evaluate risk factors for preterm labour in 1200 women. 600 women who delivered prematurely and randomly selected group of 600 women who gave birth at term were questioned using a standardised questionnaire. Simple data analysis, multiple regression analysis, including logit and probit regression models and multiple stepwise regression were performed to identify independent risk factor of preterm labour. Based on this analysis and in respect of these independent factors an equation was suggested which allows to evaluate mathematically risk for preterm labour and can be used in gynaecologists’ practice.

Can Emotion Dysregulation Explain the Association Between Attachment Insecurities and Teen Dating Violence Perpetration?

2020 ◽  
pp. 088626052091554
Author(s):  
Valérie Théorêt ◽  
Andréanne Lapierre ◽  
Martin Blais ◽  
Martine Hébert
Keyword(s):  
Attachment Theory ◽  
Dating Violence ◽  
Regression Models ◽  
Emotion Dysregulation ◽  
Teen Dating Violence ◽  
Attachment Anxiety ◽  
Probit Regression ◽  
Path Analyses ◽  
Violence Perpetration ◽  
Teen Dating

Attachment theory provides important insight regarding the etiology of teen dating violence perpetration (TDV-P). Attachment insecurities have been associated with TDV-P, but the mechanisms underlying this association remain unclear. Furthermore, as of now, studies have failed to explore whether the relation between attachment insecurities and TDV-P varied according to its forms (i.e., psychological, physical or sexual) or to the perpetrator’s gender. This study aimed to investigate if emotion dysregulation mediates the association between attachment insecurities and different forms of TDV-P among girls and boys. Adolescents ( Mage = 16 years; n = 3,214; 60% girls) were recruited from a one-stage stratified cluster sample of 34 high schools in Quebec, Canada. Path analyses with probit regression models were conducted separately for girls and boys. Attachment anxiety and avoidance were associated with more emotion dysregulation. Emotion dysregulation was, in turn, associated with higher probabilities of physical TDV-P in girls and psychological TDV-P in girls and boys. Surprisingly, emotion dysregulation was not associated with sexual TDV-P. Attachment anxiety remained directly related to higher probabilities of perpetrating all forms of TDV. These findings support the hypotheses set forth by attachment theory and highlight the utility of this theory to understand and potentially prevent TDV-P. Practitioners should more specifically address adolescents’ attachment anxiety, as it seems more related to TDV-P. Finally, this study underscores the necessity of considering gender and specific forms of TDV-P to understand the association between attachment insecurities, emotion dysregulation, and TDV-P.

scholarly journals Exploring Association between Self-Reported Financial Status and Economic Preferences Using Experimental Data

2021 ◽  
Vol 14 (6) ◽  
pp. 243
Author(s):  
Calvin Mudzingiri ◽  
Sevias Guvuriro ◽  
Charity Gomo
Keyword(s):  
Regression Models ◽  
Positive Association ◽  
Risk Averse ◽  
Probit Regression ◽  
Culture Of Poverty ◽  
Analytical Strategy ◽  
Financial Status ◽  
The Poor ◽  
Economic Preferences ◽  
Using Data

Research on economic behaviour of individuals in different financial statuses such as being in a good financial standing or in a threatening financial situation are inconclusive. Some evidence suggest that the culture of poverty may shape and dominate the economic preferences of those who are poor and even make them being prone to trembling and making mistakes thereby making decisions that do not maximize their utility. Other evidence suggest that the poor exercise extra caution and fail to maximize utility. This study investigates the association between self-reported financial status and economic preferences in a developing country setting using data from an incentivized experiment and a survey. Extended random effects panel probit regression models are employed as an analytical strategy. The study established a positive association between being financially broke or very broke and being risk averse. In addition, a positive association is found between being financially ‘very broke’ and impatient. Such findings illustrate the importance of psychology of poverty in economic preferences and in decision-making in general, even as poverty is temporary as represented by self-reported financial status.

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