scholarly journals Generalized Two Stage Least Squares Estimators for a Structural Equation with Both Fixed and Random Coefficients

1980 ◽  
Vol 21 (1) ◽  
pp. 171 ◽  
Author(s):  
Baldev Raj ◽  
V. K. Srivastava ◽  
Aman Ullah
Keyword(s):  
Least Squares ◽  
Structural Equation ◽  
Random Coefficients ◽  
Two Stage ◽  
Least Squares Estimators ◽  
Two Stage Least Squares

scholarly journals ECONOMETRIC MODELING OF THE ECONOMY OF LATVIA

2013 ◽  
Vol 1 (5) ◽  
pp. 167
Author(s):  
Iveta Mietule ◽  
Gajane Gukasjan
Keyword(s):  
Gross Domestic Product ◽  
Least Squares ◽  
Structural Equation ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Two Stage ◽  
Endogenous Variables ◽  
Two Stage Least Squares ◽  
The Government

The article is devoted to the estimation of econometric models of the Latvian economy. The Klein's simplified macroeconomic model of the Latvian economy is discussed. The endogenous variables are consumption, net investment, gross domestic product (excluding net exports and additions to reserves). An exogenous variable is the government spending. The model is just-identified, and Two-stage least squares (2SLS) method provides consistent estimates of the parameters of a structural equation. The modified Keynеsian model was also considered, where the lagged variable - gross domestic product of the previos period is presented. It is proved that the model is over-identified, and the Two-stage least squares (2SLS) method provides estimates of the parameters of a structural equation. We have estimated the models with annual time-series data of the Latvia economy for the years 1995 through 2011 (at basic prices in 2000).

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