On the Large-Sample Estimation of Regression Models with Spatial- Or Network-Effects Terms: A Two-Stage Least Squares Approach

1992 ◽  
Vol 22 ◽  
pp. 221 ◽  
Author(s):  
Kenneth C. Land ◽  
Glenn Deane
Keyword(s):  
Least Squares ◽  
Regression Models ◽  
Network Effects ◽  
Two Stage ◽  
Large Sample ◽  
Two Stage Least Squares ◽  
Least Squares Approach

scholarly journals Does Education Pay In South Africa? Estimating Returns To Education Using Two Stage Least Squares Approach

2015 ◽  
Vol 14 (6) ◽  
pp. 807 ◽  
Author(s):  
Mduduzi Biyase ◽  
Talent Zwane
Keyword(s):  
South Africa ◽  
Least Squares ◽  
National Income ◽  
Two Stage ◽  
Endogeneity Bias ◽  
Educational Levels ◽  
Potential Impact ◽  
Two Stage Least Squares ◽  
Positive Effect ◽  
Least Squares Approach

This paper investigates, using the first three waves of the National Income Dynamic dataset, the link between education and wages. Specifically it estimates the potential impact of the educational levels on wages in South Africa over the period 2008 – 2012.  A two-stage least squares (2SLS) method is applied to account for endogeneity bias. More specifically, we use a lagged education as an instrumental variable in a two-stage least squares framework. Our results show that the proposed instruments is relevant and that there is an unambiguously positive effect on the wages of an individual from participation in education. 

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.

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