Multivariate modeling

2019 ◽  
pp. 319-368
Author(s):  
Miguel A. Martinez-Beneito ◽  
Paloma Botella-Rocamora
Meat Science ◽  
2013 ◽  
Vol 95 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Kim Cluff ◽  
Govindarajan Konda Naganathan ◽  
Jeyamkondan Subbiah ◽  
Ashok Samal ◽  
Chris R. Calkins

2021 ◽  
pp. 1532673X2110318
Author(s):  
Francine Sanders Romero ◽  
David W. Romero

In an era when elections scholars expected American national presidential election turnout to increase, its steep, prolonged post-1960 decline sparked deep concern and generated an avalanche of individual-level analyses searching for explanation. The post-1960 decline, however, no longer dominates turnout’s trajectory; it has been on the upswing since 1996. This complicates our understanding as we have yet to settle on turnout’s description, much less its explanation. Here we introduce the first political science-oriented, multivariate modeling of American national presidential election turnout. Our results offer a mix of important confirmatory and original findings. First, we discover that modeling turnout’s decline as a post-1968 secular disturbance reveals turnout’s expected steady increase across the modern era (1952–2020). Second, we show that turnout’s increase can be traced to increased polarization working its influence indirectly through the direct, positive turnout affects of voter external efficacy and negative presidential campaign advertising (1960–2012).


2014 ◽  
Vol 44 (4) ◽  
pp. 685-721 ◽  
Author(s):  
Deborah S. DeGraff ◽  
Andrea R. Ferro ◽  
Deborah Levison

While the literature on child labor in Brazil is large, it is not comprehensive: in particular, there are few studies on children's work in risky occupations, and those that exist tend to be qualitative and based on limited samples. In this paper, we aim to paint a broader picture of children's engagement in risky labor force work, based on quantitative evidence from PNAD data. We document associations between parental characteristics and children's work, using both descriptive statistics and multivariate modeling to understand the determinants of child participation in risky labor force work. Brazilian children engaged in risky occupations are less likely than other employed children to be enrolled in school, and more likely to work long hours and experience a variety of working conditions that may be unsafe. Parental education, indicators of household wealth and owning a family farm are particularly strongly associated with the incidence of risky work among children, and girls are over-represented in risky jobs due to their work in domestic service.


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