Combining willingness to pay and behavior data with limited information

Whitehead, John C.

doi:10.1016/j.reseneeco.2004.07.002

Cited by 36 publications

(20 citation statements)

References 14 publications

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“…The plot level WTP data and farmer level data in our sample include 63% and 58% zeros, respectively. While a Tobit estimator (Tobin 1958) is often used to deal with a continuous dependent variable with many observations piled up at some limiting level, in this case zero WTP (Cho, et al 2005;Halstead, et al 1991;Norris and Batie 1987;Whitehead 2005), it is not appropriate in instances where zero bids do not mask negative bids (Sigelman and Zeng 1999). Because LLL is not a risky technology, and more level plots are unambiguously better than less level plots, we do not believe zero bids mask negative bids.…”

Section: Ceteris Paribus Determinants Of Demandmentioning

confidence: 92%

Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies

Lybbert¹,

Magnan²,

Bhargava³

et al. 2012

American J Agri Economics

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Demand heterogeneity often makes it profitable for firms to price and promote goods and services differently in different market segments. When private consumption brings public benefits, this same heterogeneity can be used to develop targeted public subsidies. We explore the design of public-private targeting and segmentation strategies in the case of a resourceconserving agricultural technology in India. To understand farmers' heterogeneous demand for Laser Land Leveling (LLL), we conducted an experimental auction for LLL services with an integrated randomized control trial to estimate the private benefits of the technology. We use graphical and econometric approaches to characterize farmer demand for LLL. We then add detailed cost data from LLL providers to simulate and evaluate several potential targeted delivery strategies based on measures of cost effectiveness of expanded diffusion of LLL and market surplus in a welfare framework. These simulations demonstrate inherent tradeoffs between increasing the amount of land that is leveled and expanding the number of farmers adopting the technology. While segmenting and targeting are popular elements of many publicprivate partnerships to develop and disseminate agricultural technologies, formulating and implementing effective delivery strategies requires a rich understanding of costs, benefits and demand. Our experimental approach generates such an understanding and may be relevant in other contexts.2

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Section: Ceteris Paribus Determinants Of Demandmentioning

confidence: 92%

Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies

Lybbert¹,

Magnan²,

Bhargava³

et al. 2012

American J Agri Economics

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“…1. This increases the sample size and consequently improves the econometric efficiency of evacuation expenditures models here estimated (Whitehead 2005b;Whitehead et al 2008). Both revealed and stated behavior data may have their own issues.…”

Section: Analytical Framework and Empirical Modelingmentioning

confidence: 93%

An empirical analysis of hurricane evacuation expenditures

Mozumder

Vásquez

2015

Nat Hazards

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Very little is known about evacuation expenditures at the household level even though improved understanding of those expenditures can provide inputs for designing more effective evacuation programs and planning. We conducted a household survey in Harris and Galveston counties in Texas after being hit by hurricane Ike (one of the costliest hurricanes that have impacted the USA) to investigate the determinants of evacuation expenditures. Results suggest that household income, hurricane risks and household size are significant determinants of household evacuation expenditures. Our empirical analyses indicate that an average household would spend approximately $194 if a voluntary evacuation order is received and more than $300 if a mandatory evacuation order is received. These estimates may provide inputs for future hurricane evacuation planning.

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“…Ecological status may not be a quality indicator easily observable by the public that would have an effect on recreation behavior. Site selection studies have used a multitude of different water quality variables from the amount of suspended solids (Egan et al 2004, Parsons et al 2003 and harmful bacteria in water (Parsons et al 2003) to subjective measures of water quality (Whitehead et al 2000, Whitehead 2005). …”

Section: Water Resources Recreation Participation and Water Quality mentioning

confidence: 99%

Impacts of changes in water quality on recreation behavior and benefits in Finland

Vesterinen

Pouta

Huhtala

et al. 2010

Journal of Environmental Management

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Combining willingness to pay and behavior data with limited information

Cited by 36 publications

References 14 publications

Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies

Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies

An empirical analysis of hurricane evacuation expenditures

Impacts of changes in water quality on recreation behavior and benefits in Finland

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