summary.aidsEst: Summarizing the Estimation of an Almost Ideal Demand System

Description Usage Arguments Value Author(s) See Also Examples

Description

summary.aidsEst summarizes the estimation results of an Almost Ideal Demand System (AIDS).

Usage

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## S3 method for class 'aidsEst'
summary( object, ... )

## S3 method for class 'summary.aidsEst'
print( x, ... )

Arguments

object

an object of class aidsEst.

x

an object of class summary.aidsEst.

...

currently ignored.

Value

summary.aidsEst returns a list of class summary.aidsEst that is currently identical to the provided object (except for its class).

Author(s)

Arne Henningsen

See Also

aidsEst, aidsElas.

Examples

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   # Using data published in Blanciforti, Green & King (1986)
   data( Blanciforti86 )
   # Data on food consumption are available only for the first 32 years
   Blanciforti86 <- Blanciforti86[ 1:32, ]

   ## Repeating the demand analysis of Blanciforti, Green & King (1986)
   estResult <- aidsEst( c( "pFood1", "pFood2", "pFood3", "pFood4" ),
      c( "wFood1", "wFood2", "wFood3", "wFood4" ), "xFood",
      data = Blanciforti86, priceIndex = "SL" )
   print( summary( estResult ) )

Example output

Loading required package: lmtest
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

Loading required package: micEcon

If you have questions, suggestions, or comments regarding one of the 'micEcon' packages, please use a forum or 'tracker' at micEcon's R-Forge site:
https://r-forge.r-project.org/projects/micecon/

Demand analysis with the Almost Ideal Demand System (AIDS)
Estimation Method: Linear Approximation (LA) with lagged Stone Index (SL)
Estimated Coefficients:
             Estimate  Std. Error t value  Pr(>|t|)    
alpha 1   -0.25456194  0.06455780 -3.9432 0.0001700 ***
alpha 2    0.10979865  0.05638875  1.9472 0.0549795 .  
alpha 3    0.26122034  0.03524517  7.4115 1.071e-10 ***
alpha 4    0.88354294  0.07801783 11.3249 < 2.2e-16 ***
beta 1     0.32870448  0.03779418  8.6972 3.154e-13 ***
beta 2     0.05594622  0.03270178  1.7108 0.0909454 .  
beta 3    -0.07474125  0.02050267 -3.6454 0.0004701 ***
beta 4    -0.30990945  0.04560402 -6.7957 1.668e-09 ***
gamma 1 1  0.11065970  0.01954087  5.6630 2.192e-07 ***
gamma 1 2 -0.13851111  0.01496928 -9.2530 2.512e-14 ***
gamma 1 3 -0.01188098  0.01009827 -1.1765 0.2428270    
gamma 1 4  0.03973239  0.02073689  1.9160 0.0588899 .  
gamma 2 1 -0.13851111  0.01496928 -9.2530 2.512e-14 ***
gamma 2 2  0.15820257  0.02914147  5.4288 5.780e-07 ***
gamma 2 3 -0.00347590  0.01870967 -0.1858 0.8530809    
gamma 2 4 -0.01621555  0.02233623 -0.7260 0.4699463    
gamma 3 1 -0.01188098  0.01009827 -1.1765 0.2428270    
gamma 3 2 -0.00347590  0.01870967 -0.1858 0.8530809    
gamma 3 3  0.01458853  0.01806246  0.8077 0.4216453    
gamma 3 4  0.00076835  0.01367369  0.0562 0.9553275    
gamma 4 1  0.03973239  0.02073689  1.9160 0.0588899 .  
gamma 4 2 -0.01621555  0.02233623 -0.7260 0.4699463    
gamma 4 3  0.00076835  0.01367369  0.0562 0.9553275    
gamma 4 4 -0.02428518  0.03286790 -0.7389 0.4621202    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
R-squared Values of expenditure shares:
   wFood1    wFood2    wFood3    wFood4 
0.7007879 0.8463858 0.4084816 0.7340086 
R-squared Values of quantities:
 q_wFood1  q_wFood2  q_wFood3  q_wFood4 
0.9461343 0.8638014 0.6177192 0.7235431 

micEconAids documentation built on May 2, 2019, 5:21 p.m.