Can unbiased be tighter? Assessment of methods to reduce the bias-variance trade-off in WTP estimation

Genius, Margarita; Strazzera, Elisabetta

doi:10.1016/j.reseneeco.2010.07.003

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…If Bivariate model coefficients are not significantly different, the underlying value distributions can be considered as equivalent, i.e. no significant response bias affects the validity of the estimates [81]. The Wald test indicated that we can jointly estimate first and second bid.…”

Section: The Econometric Analysis Reveals Several Interesting Resultsmentioning

confidence: 99%

“…We follow [82] where the author proposed a Stata estimator to estimate the doublebounded dichotomous choice model for contingent valuation proposed in [83] using the maximum likelihood (under the assumption of normality). As reported in [82], Haab and McConnell (2002) [84] refer to this model as the Interval Data Model.…”

Section: The Econometric Analysis Reveals Several Interesting Resultsmentioning

confidence: 99%

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The future protection from the climate change-related hazards and the willingness to pay for home insurance in the coastal wetlands of West Sardinia, Italy

Ivčević

Statzu²,

Satta³

et al. 2021

International Journal of Disaster Risk Reduction

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Wetlands are severely endangered ecosystems worldwide. They provide important services, like water supply, recreation opportunities, flood and climate regulation. Still, they are also considered as disruptive areas, a source of mosquitoes and diseases, which is why they are frequently destroyed by changes in land use. Their degradation is likely to advance from this time forth due to climate change processes. It is, therefore, important to examine how the local population understands the importance of wetlands in coping with different coastal risks in West Sardinia. Our study is focused on West Sardinia (municipalities Cabras, Oristano and Arborea), counting for remarkable biodiversity of wetlands. This area is characterized by high environmental and agricultural pressures which intensify the vulnerability of the coastal areas. To test for local population's preparedness to change, data collection was performed through field methods and questionnaires. The study was undertaken by asking key questions on the role of wetlands and willingness to pay to protect from future events (contingent valuation exercise). The results indicate that the locals do not seem to be aware of the regulating services provided by wetlands, but are willing to invest in order to mitigate climate change-related hazards. The obtained results could serve in future governance frameworks for the mitigation of natural hazards in the Mediterranean region and wider.

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Section: The Econometric Analysis Reveals Several Interesting Resultsmentioning

confidence: 99%

Section: The Econometric Analysis Reveals Several Interesting Resultsmentioning

confidence: 99%

The future protection from the climate change-related hazards and the willingness to pay for home insurance in the coastal wetlands of West Sardinia, Italy

Ivčević

Statzu²,

Satta³

et al. 2021

International Journal of Disaster Risk Reduction

View full text Add to dashboard Cite

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Powering the change: a Contingent Valuation study on the determinants of demand for green vs. brown energy

Strazzera

Mura

Statzu

2012

Journal of Environmental Economics and Policy

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A Contingent Valuation study was performed to assess a potential trade-off\ud between external costs (impacts on health caused by pollution) and the cost of\ud electricity paid by households. Two technologies were selected for the valuation\ud exercise: coal-fired thermal and solar photovoltaic. Our results show that\ud households are interested in buying solar energy, and are willing to pay an\ud additional premium for it, which would support maintenance of a feed-in tariff\ud system. In addition, it is found that higher awareness of the external benefits and\ud costs related, respectively, to solar and coal energy, is a crucial factor that shapes\ud their demand in the household sector. According to the results of our study, we\ud can expect that if electric utilities were required by regulators to provide detailed\ud information on the external effects (and in particular, on health impacts) of coal\ud and other fossil fuels used in their energy mix, there will be a sizeable positive shift\ud in the demand of green electric energy in the household sector

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Can unbiased be tighter? Assessment of methods to reduce the bias-variance trade-off in WTP estimation

Cited by 2 publications

References 34 publications

The future protection from the climate change-related hazards and the willingness to pay for home insurance in the coastal wetlands of West Sardinia, Italy

The future protection from the climate change-related hazards and the willingness to pay for home insurance in the coastal wetlands of West Sardinia, Italy

Powering the change: a Contingent Valuation study on the determinants of demand for green vs. brown energy

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