sarp {revpref}R Documentation

Tests consistency with the Strong Axiom of Revealed Preference at efficiency ee

Description

This function allows the user to check whether a given data set is consistent with the Strong Axiom of Revealed Preference at efficiency level ee (eeSARP) and computes the number of eeSARP violations. We say that a data set satisfies SARP at efficiency level ee if qtReqsq_t R_e q_s implies epsqs<psqtep_s'q_s < p_s'q_t (see the definition of ReR_e below). It is clear that by setting e=1e = 1, we obtain the standard version of SARP. While if e<1e < 1, we allow for some optimization error in the choices to make the data set consistent with SARP. The smaller the ee is, the larger will be the optimization error allowed in the test. It is well known that SARP is a necessary and sufficient condition for a data set to be rationalized by a continuous, strictly increasing, and strictly concave preference function (see Matzkin and Richter (1991)).

Usage

sarp(p, q, efficiency = 1)

Arguments

p

A TXNT X N matrix of observed prices where each row corresponds to an observation and each column corresponds to a consumption category. TT is the number of observations and NN is the number of consumption categories.

q

A TXNT X N matrix of observed quantities where each row corresponds to an observation and each column corresponds to a consumption category.TT is the number of observations and NN is the number of consumption categories.

efficiency

The efficiency level ee, is a real number between 0 and 1, which allows for a small margin of error when checking for consistency with the axiom. The default value is 1, which corresponds to the test of consistency with the exact SARP.

Value

The function returns two elements. The first element (passsarp) is a binary indicator telling us whether the data set is consistent with SARP at a given efficiency level ee. It takes a value 1 if the data set is eeSARP consistent and a value 0 if the data set is eeSARP inconsistent. The second element (nviol) reports the number of eeSARP violations. If the data is eeSARP consistent, nviol is 0. Note that the maximum number of violations in an eeSARP inconsistent data is T(T1)T(T-1).

Definitions

For a given efficiency level 0e10 \le e \le 1, we say that:

References

See Also

garp for the Generalized Axiom of Revealed Preference and warp for the Weak Axiom of Revealed Preference.

Examples

# define a price matrix
p = matrix(c(4,4,4,1,9,3,2,8,3,1,
8,4,3,1,9,3,2,8,8,4,
1,4,1,8,9,3,1,8,3,2),
nrow = 10, ncol = 3, byrow = TRUE)

# define a quantity matrix
q = matrix(c( 1.81,0.19,10.51,17.28,2.26,4.13,12.33,2.05,2.99,6.06,
5.19,0.62,11.34,10.33,0.63,4.33,8.08,2.61,4.36,1.34,
9.76,1.37,36.35, 1.02,3.21,4.97,6.20,0.32,8.53,10.92),
nrow = 10, ncol = 3, byrow = TRUE)

# Test consistency with SARP and compute the number of SARP violations
sarp(p,q)

# Test consistency with SARP and compute the number of SARP violations at e = 0.95
sarp(p,q, efficiency = 0.95)



[Package revpref version 0.1.0 Index]