scholarly journals University Choice and Students` Migration: An Application of the Heckman Model

2010 ◽  
Vol 25 (2) ◽  
pp. 65-79
Author(s):  
Park Min Soo ◽  
Koo Chan Dong ◽  
Oh Jeung Il

This study attempts to elucidate the migration patterns of Korean high school students choosing a university. Estimating a migration equation without considering sample-selection bias would yield incorrect results. Thus, this study used the Heckman model. We found that the sample selection bias would be serious in the case of students living in Seoul. We also found that students living in small towns had a 13.1 percent higher probability of migrating than those residing in Seoul, and an 8.2 percent higher probability than those living in other big cities. The differences in the migration probabilities can be interpreted as a preference for metropolitan areas. A simple policy that provides physical and financial resources to the universities would not be successful. A higher-education policy is likely to be effective only when it is implemented in coordination with the cultural and economic policies of the region.

Author(s):  
Pham The Anh

This research quantifies the impact of foreign direct investment (FDI) on the export  decisions of Vietnamese  enterprises. To control the problem of sample selection bias, this study employs the Heckman model (1979) estimated for two equations on export participation and rate. Unlike previous researches, which mainly rely on one single proxy of FDI, this research adopts sensititivy analysis through the estimation of a model with two representative variables for FDI. It is indicated that FDI has a positive impact on the export decisions of Vietnamese enterprises. Nonetheless, FDI has an insignificant effect on the export rate of Vietnamese enterprises.


2021 ◽  
Vol 9 (3) ◽  
pp. 704-711
Author(s):  
Emre Turegun ◽  

The study aimed to examine the levels of aggression and violence of students and other professional groups who are Düzcespor football fans. For the research model, the survey model, one of the quantitative research types, was chosen. The study's data collection process was carried out during the 2019-2020 season of the Turkey Football Federation, and the population of the study consisted of Düzcespor fans between the ages of 12-68. The sample of the study, on the other hand, consists of 498 people who voluntarily participated in the study using the random sample selection technique. As a result of normality tests (Kolmogorov-Smirnov and Shapiro Wilk), it was determined that the scores obtained from the scales did not show a normal distribution. For this reason, non-parametric tests Mann Whitney-U Test, Kruskal Wallis Test, and Bonferroni Test, one of the Post Hoc tests, were used to determine which group caused the significant difference between the groups as a result of the analysis. Frequency, percentage, minimum, maximum, average, and standard deviation values were also used to analyze the data. The level of significance was determined as p < 0.05. The study's findings showed that Düzcespor supporters had moderate aggression and violent behaviors. There was a significant difference between the variables of gender, age, education level, occupation and income, and aggression and violent behavior. The study results revealed that aggression and tendency to violence are higher in males, younger people, high school students and people with low income.


2015 ◽  
Vol 2 ◽  
pp. 351-369 ◽  
Author(s):  
Richard Breen ◽  
Seungsoo Choi ◽  
Anders Holm

Author(s):  
Tao Lu ◽  
Ruimin Hu ◽  
Zhen Han ◽  
Junjun Jiang ◽  
Jun Chang

2019 ◽  
Vol 79 (4) ◽  
pp. 1154-1175 ◽  
Author(s):  
Howard Bodenhorn ◽  
Timothy W. Guinnane ◽  
Thomas A. Mroz

Our 2017 article in this Journal stresses the pitfalls of using choice-based samples in economic history. A prominent example is the literature addressing the so-called antebellum puzzle. Heights researchers claim that Americans grew shorter in the first half of the nineteenth century, a period of robust economic growth. We argue that this result relies on choice-based samples. Without knowing the process that led to inclusion in the sample, researchers cannot properly estimate conditional mean heights. We proposed a diagnostic that can detect, but not correct for, selection bias. Komlos and A’Hearn’s interpretation of our analysis confuses diagnosis with cure. We dispute their view that selection bias has been appreciated in the heights literature.


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