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Pregled bibliografske jedinice broj: 1000349

Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information


Bobinac, Ana
Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information // The European journal of health economics, 20 (2018), 1; 75-82 doi:10.1007/s10198-018-0983-1 (međunarodna recenzija, članak, znanstveni)


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Naslov
Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information

Autori
Bobinac, Ana

Izvornik
The European journal of health economics (1618-7598) 20 (2018), 1; 75-82

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
willingness to pay ; preference uncertainty ; hypothetical bias ; preference anchoring ; calibration

Sažetak
One possible source of hypothetical bias in willingness to pay (WTP) estimates is response uncertainty, referring to subject’s uncertainty about the value of the good under assessment. It has been argued that uncertainty can be measured using the post-valuation ‘certainty question’ that asks: ‘How certain are you about your stated WTP?’ and marks the degree of certainty on a quantitative or a qualitative scale. Research has shown that the self- reported certainty evaluations can help mitigate hypothetical bias and obtain increasingly accurate WTP estimates. These study reports present a simple test of reliability of post-valuation certainty assessment and then looks at the empirical evidence for clues regarding the general usefulness of certainty adjustment in mitigating hypothetical bias in WTP studies. We find that the post-estimation uncertainty scores are malleable, i.e., significantly correlated with entirely irrelevant information. We conclude that more robust evidence could justify the routine inclusion of certainty evaluation in WTP studies although in the meantime the interpretation of certainty- adjusted WTP values should be approached cautiously.

Izvorni jezik
Engleski

Znanstvena područja
Javno zdravstvo i zdravstvena zaštita, Ekonomija



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Rijeka

Profili:

Avatar Url Ana Bobinac (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Bobinac, Ana
Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information // The European journal of health economics, 20 (2018), 1; 75-82 doi:10.1007/s10198-018-0983-1 (međunarodna recenzija, članak, znanstveni)
Bobinac, A. (2018) Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information. The European journal of health economics, 20 (1), 75-82 doi:10.1007/s10198-018-0983-1.
@article{article, author = {Bobinac, Ana}, year = {2018}, pages = {75-82}, DOI = {10.1007/s10198-018-0983-1}, keywords = {willingness to pay, preference uncertainty, hypothetical bias, preference anchoring, calibration}, journal = {The European journal of health economics}, doi = {10.1007/s10198-018-0983-1}, volume = {20}, number = {1}, issn = {1618-7598}, title = {Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information}, keyword = {willingness to pay, preference uncertainty, hypothetical bias, preference anchoring, calibration} }
@article{article, author = {Bobinac, Ana}, year = {2018}, pages = {75-82}, DOI = {10.1007/s10198-018-0983-1}, keywords = {willingness to pay, preference uncertainty, hypothetical bias, preference anchoring, calibration}, journal = {The European journal of health economics}, doi = {10.1007/s10198-018-0983-1}, volume = {20}, number = {1}, issn = {1618-7598}, title = {Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information}, keyword = {willingness to pay, preference uncertainty, hypothetical bias, preference anchoring, calibration} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE
  • EconLit


Citati:





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