scholarly journals FACTORS AFFECTING THE THAI NATURAL RUBBER MARKET EQUILIBRIUM: DEMAND AND SUPPLY RESPONSE ANALYSIS USING TWO-STAGE LEAST SQUARES APPROACH

2014 ◽  
Author(s):  
Chadapa Chawananon
Keyword(s):  
Natural Rubber ◽  
Least Squares ◽  
Market Equilibrium ◽  
Response Analysis ◽  
Two Stage ◽  
Demand And Supply ◽  
Factors Affecting ◽  
Rubber Market ◽  
Two Stage Least Squares ◽  
Least Squares Approach

scholarly journals Two-stage least squares simultaneous equation analysis of the demand and supply of chicken meat

Respuestas ◽  
2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Giovanni Cancino Escalante ◽  
Susan Cancino ◽  
Daniel Francisco Cancino Ricketts
Keyword(s):  
Least Squares ◽  
Simultaneous Equation ◽  
Chicken Meat ◽  
Meat Production ◽  
Two Stage ◽  
Demand And Supply ◽  
Financial Decisions ◽  
Equation Analysis ◽  
Short Run ◽  
Two Stage Least Squares

Abstract Chicken meat production is one of the fastest growing industries in Colombia with an average per person consumption of 35.6 kg. Due to the increase in demand and to the growing importance of the chicken meat production to the Colombian economy the objective of the study was to estimate the demand and supply response and the short run elasticities for chicken meat using a two-stage least squares technique for simultaneous equations. Results indicated that chicken meat demand was responsive to changes in own and beef prices as well as income. The direction of the independent variables were as expected, with the exception of pork prices. The response of chicken meat supply to own-price changes was found to be inelastic in the short run. Chicken feed and the exchange rate elasticities did not present a great impact on the percentage changes of the quantity offered of chicken meat. The proposed model can be useful for producers, chicken meat companies managers and policymakers as understanding the factors that affect the chicken market can lead to optimal managerial and financial decisions

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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