We test whether the use of an honesty priming task from the social psychology literature can help mitigate hypothetical bias in stated preference choice experiments (CE). Using a between-sample design, we conducted experiments with five treatments: (1) hypothetical CE without cognitive task, (2)...

The aim of the paper is to provide an econometric, dynamic, multi-product and partial equilibrium model for the Spanish agriculture able to analyse the effects of the SFP and subsequent reforms in both the irrigated and non-irrigated cultivation. In the case of the EU Mediterranean countries,...

This study illustrates the differences in empirical results due to data measurements and estimating procedures when applying the single index market model in agriculture. Gross and net return betas along with systematic and unsystematic risk proportions are estimated and found to be different....

We assess the reduction of hypothetical bias in consumers’ willingness to pay (WTP) for products by applying a generic, short, and neutral cheap talk script in a retail setting. Using an open-ended elicitation mechanism with non-hypothetical, hypothetical, and hypothetical with cheap talk...

Nonresponse is a pervasive and persistent problem in survey data. This research reviews several methods for imputing missing values. A special emphasis is placed on the multiple imputation methods as a more generalizable advanced remedy to missingness. An empirical application of these methods,...

We report the result of experiments designed to assess the effect of initial endowments on willingness to pay values elicited from multi-unit Vickrey auctions. Comparing bids from an “endow and upgrade” approach with the “full bidding” approach, we find that the direction of the...

Replaced with revised version of paper 06/28/10

This paper proposes the use of multi-unit auctions in studying consumers’ willingness to pay (WTP) for food products in a multi-unit shopping scenario. We show how this method can overcome the limitations of single-unit experimental auctions in obtaining useful information related to WTP for...

Often analysts must conduct risk analysis based on a small number of observations. This paper describes and illustrates the use of a kernel density estimation procedure to smooth out irregularities in such a sparse data set for simulating univariate and multivariate probability distributions.