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

In micEconAids: Demand Analysis with the Almost Ideal Demand System (AIDS)

Description

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

Usage

## 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

   # 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.