Peeling back the onion: Using latent class analysis to uncover heterogeneous responses to stated preference surveys

Hammitt, James K.; Herrera-Araujo, Daniel

doi:10.1016/j.jeem.2017.06.006

Cited by 19 publications

(19 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All of the stated preference surveys provide evidence that WTP is higher for larger risk reductions. However, the authors report that the results are close to proportional in only two cases (Hammitt & Haninger, 2010; Hammitt & Herrera, 2018). 16 , 17 Several studies provide additional evidence of validity.…”

Section: Resultsmentioning

confidence: 96%

“…For fatality risk reductions, two surveys suggest that estimated WTP declines with the age of the child (Gerking et al, 2014, skin cancer survey; Hammitt & Haninger, 2010), but two surveys find no significant impact (Alberini & Ščasný, 2011; Gerking et al, 2014, leukemia survey). Hammitt and Herrera (2018) do not report whether WTP differs by children’s age.…”

Section: Resultsmentioning

confidence: 99%

“…9We conducted our search in July 2017 and we did not find additional studies in more recent searches. At the time of our initial search, Hammitt and Herrera (2018) was available on early view; it has since been published. These studies rely on data collected several years in advance of the publication date due to the time needed to collect and analyze the data and to draft the article or other document,…”

mentioning

confidence: 99%

See 2 more Smart Citations

Valuing Children’s Fatality Risk Reductions

Robinson¹,

Raich²,

Hammitt

et al. 2019

J. Benefit Cost Anal.

Self Cite

View full text Add to dashboard Cite

The estimates used by U.S. Federal agencies and others to value reductions in fatality risks generally reflect adults' willingness to trade income for changes in their own risks. Several studies have now been completed that address the value of risk reductions to children. We review these studies for quality and applicability based on selection and evaluation criteria derived from recent discussions of best practices. To limit the effects of between-study variability, we searched for studies that estimate values for both adults and children using a consistent approach.We find seven studies that meet our selection criteria. The studies suggest that the value for children exceeds the value for adults by a factor of 1.2 to 3.0, with a midpoint of 2.1. Studies that estimate the value of reductions in nonfatal risks lead to similar results. Although some studies suggest that the divergence between child and adult values may decrease as the child ages, more work is needed to determine the extent to which these multipliers vary across age groups.

show abstract

Section: Resultsmentioning

confidence: 96%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Valuing Children’s Fatality Risk Reductions

Robinson¹,

Raich²,

Hammitt

et al. 2019

J. Benefit Cost Anal.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The latent class model is a semi-parametric extension of the multinomial logit model which allows the investigation of heterogeneity on a class (segment) level and relaxes the assumptions regarding the parameter distribution across individuals [32]. This approach has individuals endogenously grouped into classes of homogenous preferences [33,34] and estimates their probability of membership to their designated class depending on their socio-economic characteristics [35].…”

Section: Latent Class Model (Lcm)mentioning

confidence: 99%

Improving Drinking Water Quality in South Korea: A Choice Experiment with Hypothetical Bias Treatments

Gschwandtner

Jang

McManus

2020

Water

View full text Add to dashboard Cite

The objective of this present study is to use choice experiments and an extensive cost-benefit analysis (CBA) to investigate the feasibility of installing two advanced water treatments in Cheongju waterworks in South Korea. The study uses latent class attribute non-attendance models in a choice experiment setting in order to estimate the benefits of the two water treatments. Moreover, it explores strategies to mitigate potential hypothetical bias as this has been the strongest criticism brought to stated preference methods to date. Hypothetical bias is the difference between what people state in a survey they would be willing to pay and what they would actually pay in a real situation. The study employs cheap talk with a budget constraint reminder and honesty priming with the latter showing more evidence of reducing potential hypothetical bias. The lower bound of the median WTP (willingness to pay) for installing a new advanced water treatment system is approximately $2 US/month, similar to the average expenditures for bottled water per household in South Korea. These lower bounds were found using bootstrapping and simulations. The CBA shows that one of the two treatments, granular activated carbon is more robust to sensitivity analyses, making this the recommendation of the study.

show abstract

“…RUT provides a deterministic-decision framework which is not trying to explain irrational behavior, but model the researcher's lack of information. The lack of information results in an error which could be due to measurement errors or latent attributes that influence choice or heterogeneity in preferences, that is; the unobserved differences in taste [66]. Therefore, the psychological factors which influence choice are incorporated into this random component of utility [67].…”

Section: Theory Of Stated Preference Modelsmentioning

confidence: 99%

Improved Response to Water Shortage: A Discrete Choice Experiment Study in Langata Sub County, Nairobi City-Kenya

Ochungo¹,

Ouma²,

Obiero³

et al. 2019

JWARP

View full text Add to dashboard Cite

This study aimed at identifying the most preferred water quality tracking system (WQTS) for adoption and the determining factors for the same among the Langata sub County households in Nairobi city, Kenya. Perrenial municipal water shortage in this neighborhood has forced the residents to depend on vended water supplication but whose quality is not possible to verify at the moment. Accordingly, a mobile phone quality tracing application running on blockchain technology platform was developed to fill the gap of provenance tracking. A non-market discrete choice experiments (DCEs) model was deployed in which four-option attribute bundles; with one being the "status quo" choice were presented to each of the 382 randomly sampled respondents from the five wards within the area. Results indicated that Option 2; the communally managed WQTS emerged as the most preferred choice at 53.9%. Secondly, the male factor was identified as the major determinant to this decision. In conclusion, the study proposes for the installation of this new WQTS which will trigger a 12% adjustment of the average household's monthly water bill. In addition, this paper recommends for a city-wide assessment of residents' willingness to pay (WTP) for this WQTS, which it deems as an improved response to water shortage problem. Finally, the study contributes to the application of DCEs model in technology adoption literature.

show abstract

Peeling back the onion: Using latent class analysis to uncover heterogeneous responses to stated preference surveys

Cited by 19 publications

References 50 publications

Valuing Children’s Fatality Risk Reductions

Valuing Children’s Fatality Risk Reductions

Improving Drinking Water Quality in South Korea: A Choice Experiment with Hypothetical Bias Treatments

Improved Response to Water Shortage: A Discrete Choice Experiment Study in Langata Sub County, Nairobi City-Kenya

Contact Info

Product

Resources

About