Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data

Author:

Buckell John,Hess Stephane

Funder

National Institute on Drug Abuse

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Health Policy

Reference63 articles.

1. Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certainty;Beck;Transp. Res. Part B Methodol.,2016

2. Estimation of switching models from revealed preferences and stated intentions;Ben-Akiva;Transp. Res. Part A Gen.,1990

3. Use of the logit scaling approach to test for rank-order and fatigue effects in stated preference data;Bradley;Transportation,1994

4. Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles;Brownstone;Transp. Res. Part B Methodol.,2000

5. Should flavours be banned in cigarettes and e-cigarettes? Evidence on adult smokers and recent quitters from a discrete choice experiment;Buckell;Tob. Control,2018

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