scholarly journals A Simple Method to Account for Measurement Errors in Revealed Preference Tests

Author(s):  
Per Hjertstrand

2013 ◽  
Author(s):  
Fabrice Nobibon Talla ◽  
L. Cherchye ◽  
Yves Crama ◽  
Thomas Demuynck ◽  
Bram De Rock ◽  
...  




1979 ◽  
Vol 47 (5) ◽  
pp. 1118-1122 ◽  
Author(s):  
R. R. Mitchell

A simple method for including the gas analyzer response time in the breath-by-breath computation of gas exchange rates is described. The method uses a difference equation form of a model for the gas analyzer in the computation of oxygen uptake and carbon dioxide production and avoids a numerical differentiation required to correct the gas fraction wave forms. The effect of not accounting for analyzer response time is shown to be a 20% underestimation in gas exchange rate. The present method accurately measures gas exchange rate, is relatively insensitive to measurement errors in the analyzer time constant, and does not significantly increase the computation time.





2018 ◽  
Vol 10 (1) ◽  
pp. 102-131 ◽  
Author(s):  
Thomas Demuynck ◽  
Christian Seel

We derive revealed preference tests for models where individuals use consideration sets to simplify their consumption problem. Our basic test provides necessary and sufficient conditions for consistency of observed choices with the existence of consideration set restrictions. The same conditions can also be derived from a model in which the consideration set formation is endogenous and based on subjective prices. By imposing restrictions on these subjective prices, we obtain additional refined revealed preference tests. We illustrate and compare the performance of our tests by means of a dataset on household consumption choices. (JEL D11, D12, M31)



Author(s):  
Bart Smeulders ◽  
Laurens Cherchye ◽  
Bram De Rock ◽  
Frits Spieksma


2005 ◽  
Vol 9 (5) ◽  
pp. 612-629 ◽  
Author(s):  
BARRY E. JONES ◽  
PHILIPPE DE PERETTI

The Generalized Axiom of Revealed Preference (GARP) can be violated because of random measurement errors in the observed quantity data. We study two tests proposed by Varian (1985) and de Peretti (2004), which test GARP within an explicit stochastic framework. Both tests compute adjusted quantity data that are compliant with GARP. We compare and contrast the two tests in theoretical terms and in an empirical application. The empirical application is based on testing a large group of monetary assets for the United States over multiple sample periods spanning 1960–1992. We found that both tests provided reasonable results and were largely consistent with each other.



2011 ◽  
pp. 83-98
Author(s):  
Laurens Cherchye ◽  
Bram De Rock ◽  
Frederic Vermeulen ◽  
Ewout Verriest




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