Stated Preferences with Survey Consequentiality and Outcome Uncertainty: A Split Sample Discrete Choice Experiment

被引:0
作者
Tensay Hadush Meles
Razack Lokina
Erica Louis Mtenga
Julieth Julius Tibanywana
机构
[1] Economic and Social Research Institute,Department of Economics
[2] Trinity College Dublin,School of Economics
[3] University of Dar es Salaam,undefined
来源
Environmental and Resource Economics | 2023年 / 86卷
关键词
Stated preferences; Survey consequentiality; Outcome uncertainty; Discrete choice experiment; Power outages; Business enterprises; Tanzania; D22; D81; L94; Q58;
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学科分类号
摘要
Stated preference studies are often based on the assumptions that proposed outcomes would realize with certainty and respondents believe their survey responses are consequential. This paper uses split sample treatments to test whether survey consequentiality and outcome uncertainty lead to differences in welfare measures, focusing on a discrete choice experiment on improving quality of electricity supply among business enterprises in Tanzania. Our results show that incorporating uncertainty not only affects the preferences for the attribute with uncertainty (duration of power outage) but also for a choice attribute with a precautionary feature (advanced outage notification). While outcome uncertainty and an additional survey script (a formal letter from a state-owned electric utility) to strengthen consequentiality have some influence on preferences and willingness to pay (WTP) estimates for certain attributes, we do not find significant implications on overall welfare estimates.
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页码:717 / 754
页数:37
相关论文
共 187 条
[1]  
Aanesen M(2023)To tell or not to tell: preference elicitation with and without emphasis on scientific uncertainty Land Econ 38 4570-4581
[2]  
Armstrong C(2010)Choice experiment study on the willingness to pay to improve electricity services Energy Policy 18 053004-650
[3]  
Borch T(2023)Understanding the social impacts of power outages in North America: a systematic review Environ Res Lett 81 608-424
[4]  
Fieler R(2014)Inference on treatment effects after selection among high-dimensional controls Rev Econ Stud 97 407-42
[5]  
Hausner V(2021)Payment and policy consequentiality in dichotomous choice contingent valuation: experimental design effects on self-reported perceptions Land Econ 148 36-342
[6]  
Kipperberg G(2018)Framing decisions in uncertain scenarios: an analysis of tourist preferences in the face of global warming Ecol Econ 49 330-483
[7]  
Lindhjem H(2005)The effect of varying the causes of environmental problems on stated wtp values: evidence from a field study J Environ Econ Manag 58 467-89
[8]  
Navrud S(2007)Willingness to pay for rural landscape improvements: combining mixed logit and random-effects models J Agric Econ 28 75-1245
[9]  
Abdullah S(2007)Willingness to pay among Swedish households to avoid power outages: a random parameter Tobit model approach Energy J 30 1232-89
[10]  
Mariel P(2008)Does it matter when a power outage occurs? A choice experiment study on willingness to pay to avoid power outages Energy Econ 47 65-210