Belief Updating, Risk Information, and Urban Flooding: A Field Experiment in Mozambique

Author(s):  
Stefan Leeffers
2020 ◽  
Vol 47 (5) ◽  
pp. 1668-1696
Author(s):  
Céline Bonnet ◽  
James Hilger ◽  
Sofia B Villas-Boas

Abstract We estimate the effect of quality labels on purchases through a retail field experiment. Utilising product-level panel scanner and product characteristic data for both labelled and unlabelled wines we estimate the average and heterogeneous effect on purchases. Consistent with earlier work, we find an average effect that is positively correlated with scores. We advance the consumer belief and product information literature on two fronts. First, higher scores matter more for lower priced products. Second, spillover effects impact sales of untreated wines; these effects can be positive or negative and are impacted by the average score and label converge within brand.


2018 ◽  
Vol 41 ◽  
Author(s):  
Alex O. Holcombe ◽  
Samuel J. Gershman

AbstractZwaan et al. and others discuss the importance of the inevitable differences between a replication experiment and the corresponding original experiment. But these discussions are not informed by a principled, quantitative framework for taking differences into account. Bayesian confirmation theory provides such a framework. It will not entirely solve the problem, but it will lead to new insights.


2010 ◽  
Author(s):  
Julia Levashina ◽  
Frederick P. Morgeson ◽  
Michael A. Campion

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