Morphoscopic ancestry estimates in Filipino crania using multivariate probit regression models

2020 ◽  
Vol 172 (3) ◽  
pp. 386-401 ◽  
Author(s):  
Matthew C. Go ◽  
Joseph T. Hefner
Keyword(s):  
Regression Models ◽  
Multivariate Probit ◽  
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

scholarly journals Willingness To COVID-19 Vaccination: Empirical Evidence From EU

2021 ◽  
Author(s):  
Imran Ur Rahman ◽  
Arslan Austin ◽  
Naveed Nelson
Keyword(s):  
Side Effects ◽  
Empirical Evidence ◽  
Vaccination Strategy ◽  
Multivariate Probit ◽  
Sources Of Information ◽  
Positive Perception ◽  
Social Feedback ◽  
Probit Regression ◽  
Error Terms ◽  
The Eu

Abstract The unforgettable COVID-19 shock can only be reversed by a viable vaccination strategy. In this paper, we investigate willingness to be vaccinated (WTV) against the COVID-19. We provide first of its kind empirical evidence on the citizens (N=11,932) of the EU-27 by employing the recent data from the European Commission. Controlling for the correlations in the error terms, we utilize a simulated multivariate probit regression model. Our results show that amongst all the statistically significant drivers of the WTV, the positive perception (vaccination works and has no side effects); R&D information (clarity on how vaccination is developed, tested, authorized) has the largest impact on the WTV. We find that the group of variables on social feedback, and on trustworthy sources of information are to be considered for WTV policy. The counteracting policy gaps are also identified. Our work is novel and has implications for COVID-19 vaccination policies across the EU.

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.

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