scholarly journals A Comparison of Two-Stage Least Squares (TSLS) and Ordinary Least Squares (OLS) in Estimating the Structural Relationship between After-School Exercise and Academic Performance

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3105
Author(s):  
Kyulee Shin ◽  
Sukkyung You ◽  
Mihye Kim

The current study examines the structural relationship between the academic performance exam scores of Korean middle school students and their after-school exercise hours. Although prior literature theoretically or experimentally predicts that these variables are positively associated, this association is difficult to empirically verify without controlling for mutual effects with other variables, or unless a full model is estimated by specifying the whole structure of all variables affecting the two variables in question. Unlike previous studies, this study estimates the structural relationship using two-stage least squares method, which does not require experimental observations collected for our particular purpose or estimating the full model. From this estimation, we empirically affirm that there is a positive structural relationship between students’ after-school exercise hours and their academic performance exam scores, whereas the ordinary least squares method consistently estimates a negative relationship.

2018 ◽  
Vol 35 (70) ◽  
pp. 79-98
Author(s):  
Matías Fontenla ◽  
Germán M. Izón

This paper examines whether there exists favouritism by individual referees in favour of the home team in Argentina’s first division football (soccer) league. We study 936 matches between 2008 and 2010, and run both ordinary least squares (OLS) and two-stage least squares (2-SLS) specifications. Using goal differential between the home and away teams as the dependent variable, we find that individual referees have a statistically significant effect on the score of the game, even after controlling for referee actions such as yellow and red cards, penalties awarded, and other factors such as team quality, crowd size, and crowd composition. Crowd size and composition do not seem to affect the outcome of the game.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mao-Feng Kao ◽  
Lynn Hodgkinson ◽  
Aziz Jaafar

Purpose Using a data set of Taiwanese listed firms from 2002 to 2015, this paper aims to examine the determinants to voluntarily appoint independent directors. Design/methodology/approach This study uses panel estimation to exploit both the cross-section and time-series nature of the data. Further, this paper uses Tobit regression, generalized linear model (GLM) in the additional analysis and the two-stage least squares to mitigate for a possible endogeneity issue. Findings The main findings show that Taiwanese firms with large board sizes tend to voluntarily appoint independent directors and firms that already have independent supervisors more willingly to accept additional independent directors onto the board. Furthermore, ownership concentration and institutional ownership are positively associated with the voluntary appointment of independent directors. On the contrary, firms controlled by family members are generally reluctant to voluntarily appoint independent directors. Research limitations/implications The findings are important for managers, shareholders, creditors and policymakers. In particular, when considering the determinants of the voluntary appointment of independent directors, the results indicate that independent supervisors, outside shareholders and institutional investors are significant factors in influencing effective internal and external corporate governance mechanisms. This research work focuses on the voluntary appointment of independent directors. It would be interesting to compare the effectiveness of voluntary appointments with a mandatory appointment within Taiwan and with other jurisdictions. Originality/value This study incrementally contributes to the corporate governance literature in several ways. First, this study extends the earlier research by using a more comprehensive data set of non-financial Taiwanese firms and using alternative methodologies to investigate the determinants of voluntary appointment of independent directors. Second, prior studies tend to neglect the possible issue of using a censored and fractional dependent variable, the proportion of independent directors, which might yield biased and inconsistent parameter estimates when using ordinary least squares regression estimation. Finally, this study addresses the relevant econometric issues by using the Tobit, GLM and the two-stage least squares for a possible endogeneity concern.


2020 ◽  
Vol 9 (1) ◽  
pp. 8
Author(s):  
DINIE ANEFI HAJARA ◽  
IZZATI RAHMI HG ◽  
FERRA YANUAR

Analisis jalur adalah suatu teknik penggambaran dan pengujian model hubungan antar variabel yang berbentuk sebab akibat, yang dikembangkan dari analisis regresi sebagai metode untuk mempelajari pengaruh langsung atau tidak langsung dari variabel bebas terhadap variabel terikat. Jika ditinjau dari hubungan peubahnya, analisis jalur terbagi menjadi model rekursif dimana hubungan sebab akibat bergerak satu arah dan model non rekursif dimana hubungan sebab akibat bergerak dua arah atau timbal balik. Untuk menduga koefisien jalur model rekursif bisa digunakan metode Ordinary Least Squares (OLS), namun untuk model non rekursif penggunaan metode OLS tidak layak digunakan karena akan menghasilkan koefisien yang bias dan inkonsisten. Oleh karena itu, untuk menduga koefisien model non rekursif digunakan metode pendugaan lain salah satunya Two-Stage Least Squares (2SLS), yang merupakan pengembangan dari metode OLS. Pada penelitian ini untuk menduga koefisien model non rekursif digunakan metode jalur dan metode 2SLS dengan menggunakan data bangkitan. Hasil yang diperoleh dengan kedua metode ini tidak jauh berbeda, sehingga metode 2SLS menjadi metode alternatif untuk menduga koefisien jalur model non rekursif.Kata Kunci: Analisis jalur, model non rekursif, Two-Stage Least Squares (2SLS)


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