Course grades and academic performance by university students: A two-stage least squares analysis

1984 ◽  
Vol 20 (3) ◽  
pp. 345-365 ◽  
Author(s):  
William R. Frisbee
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Least Squares ◽  
Two Stage ◽  
Course Grades ◽  
Two Stage Least Squares

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
Keyword(s):  
Academic Performance ◽  
Least Squares ◽  
Least Squares Method ◽  
Ordinary Least Squares ◽  
Structural Relationship ◽  
After School ◽  
Full Model ◽  
Two Stage ◽  
Two Stage Least Squares ◽  
Exam Scores

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.

An introduction to model implied instrumental variables using two stage least squares (MIIV-2SLS) in structural equation models (SEMs).

2021 ◽  
Author(s):  
Kenneth A. Bollen ◽  
Zachary F. Fisher ◽  
Michael L. Giordano ◽  
Adam G. Lilly ◽  
Lan Luo ◽  
...  
Keyword(s):  
Least Squares ◽  
Instrumental Variables ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Two Stage ◽  
Two Stage Least Squares

scholarly journals Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB

2014 ◽  
Vol 5 (2) ◽  
pp. 810
Author(s):  
Rokhana Dwi Bekti ◽  
David David ◽  
Gita N ◽  
Priscillia Priscillia ◽  
Serlyana Serlyana
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Two Stage ◽  
Two Stage Least Squares ◽  
Regional Product ◽  
The Relationship ◽  
Simultaneous Model

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.

Nonstandard Distributions in Two-Stage Least Squares.

1981 ◽  
Author(s):  
Mark Marcucci ◽  
D. R. Jensen
Keyword(s):  
Least Squares ◽  
Two Stage ◽  
Two Stage Least Squares
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