Application of Regression Discontinuity Approach in Experimental Auctions: A Case Study of Gaining Participants’ Trust and Their Willingness to Pay Reportar como inadecuado




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Our research applies regression discontinuity to assess the effects how the introductory lectures influence on participants’ trust and then their WTP in experimental auctions. This method takes advantage of an exogenous threshold or cutoff point to evaluate causal effects. In our research, we consider the participants’ age to be the assignment variable, which is also called as forcing variable. We select a cutoff line in participants’ age and based on the cutoff line, we apply regression discontinuity technique. We conduct several sessions of experiments and we group the participants into two groups, where some participants’ ages are below the cutoff line and the rest are above it. Participants with ages above the cutoff line are exposed to introductory lectures and then the rest participants are not exposed to the lectures. We assume there is a discontinuous jump in their willingness to pay between and after application of introductory lectures. We choose local nonparametric regression (kernel) estimation methods over the global/parametric methods as non-parametric methods exhibits more robustness. We choose several potential bandwidths based on sample size. We also compare the estimation results between with and without covariates.

Keywords: Experimental Auction ; Regression Discontinuity ; Animal Welfare

Subject(s): Agricultural and Food Policy

Food Consumption/Nutrition/Food Safety

Livestock Production/Industries

Research Methods/ Statistical Methods

Issue Date: 2016

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/236149

Total Pages: 21

Note: Presentation #10058 Session # 1648, “Methodological Advancements in Experimental Economics”

Series Statement: 1648

“Methodological Advancements in Experimental Economics

Record appears in: Agricultural and Applied Economics Association (AAEA) > 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts





Autor: Li, Hao ; Elbakidze, Levan

Fuente: http://ageconsearch.umn.edu/record/236149?ln=en







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