Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles

Brownstone, David; Bunch, David S.; Train, Kenneth

doi:10.1016/s0191-2615(99)00031-4

Cited by 579 publications

(250 citation statements)

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“…Brownstone et al (2000) combined SP and RP data to model vehicle preferences in California, concluding that the resulting joint MNL model was more robust than either the SP or the RP models alone. However, combining data sources is a complex process and requires judgment on the part of the researcher.…”

Section: Choice Models Combining Stated and Revealed Preference Datamentioning

confidence: 99%

“…All coefficient estimates were significant at a 99% confidence level, and of the expected sign. 14 The capital cost variable contributed the best fit of the SP data when divided by the log of household income (as in Brownstone et al, 2000;Brownstone and Train, 1999) to account for income effects. 15 This specification represents income as a deflator, where capital cost is less important for higher income households.…”

Section: Stated Preference Modelsmentioning

confidence: 99%

“…The database was also used to select the non-chosen alternatives that are required to model RP choice sets for each respondent. We followed a technique similar to that used by Brownstone et al (2000) to randomly select a subset of available vehicles (because it is computationally prohibitive to include all possible vehicles), one from each of the 11 vehicle class categories not chosen by the respondent. Table 4 illustrates a hypothetical example for a respondent owning a Volkswagon Beetle (classified as a gasoline subcompact car).…”

Section: Rp Data Collectionmentioning

confidence: 99%

“…Discrete choice modeling has been frequently applied to low-emissions vehicles (e.g., Bunch et al, 1993;Ewing and Sarigollu, 2000;Potoglou and Kanaroglou, 2007). Because SP and RP data can have complementary strengths, a growing body of literature demonstrates the potential for ''joint'' modeling techniques (e.g., Swait et al, 1994;Brownstone et al, 2000;Train, 2003;Hensher et al, 2005). While RP data can realistically account for income and supply constraints, SP data can better represent hypothetical market conditions and eliminate problems of multicollinearity.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles

Axsen

Mountain

Jaccard

2009

Resource and Energy Economics

237

111

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According to intuition and theories of diffusion, consumer preferences develop along with technological change. However, most economic models designed for policy simulation unrealistically assume static preferences. To improve the behavioral realism of an energy-economy policy model, this study investigates the ''neighbor effect,'' where a new technology becomes more desirable as its adoption becomes more widespread in the market. We measure this effect as a change in aggregated willingness to pay under different levels of technology penetration. Focusing on hybrid-electric vehicles (HEVs), an online survey experiment collected stated preference (SP) data from 535 Canadian and 408 Californian vehicle owners under different hypothetical market conditions. Revealed preference (RP) data was collected from the same respondents by eliciting the year, make and model of recent vehicle purchases from regions with different degrees of HEV popularity: Canada with 0.17% new market share, and California with 3.0% new market share. We compare choice models estimated from RP data only with three joint SP-RP estimation techniques, each assigning a different weight to the influence of SP and RP data in coefficient estimates. Statistically, models allowing more RP influence outperform SP influenced models. However, results suggest that because the RP data in this study is afflicted by multicollinearity, techniques that allow more SP influence in the beta estimates while maintaining RP data for calibrating vehicle

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Section: Choice Models Combining Stated and Revealed Preference Datamentioning

confidence: 99%

Section: Stated Preference Modelsmentioning

confidence: 99%

Section: Rp Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles

Axsen

Mountain

Jaccard

2009

Resource and Energy Economics

237

111

View full text Add to dashboard Cite

show abstract

“…A small selection of recent research would include Haener, Boxall, and Adamowicz (2001) for an application to recreational site choice; Earnhart (2001) for residential amenities; and Brownstone, Bunch, and Train (2000) for the demand for alternative fuel vehicles. For a thorough review of the econometric advantages and complications associated with combining data, see Hensher, Louviere, and Swait (1999).…”

Section: Survey Design and Data Partmentioning

confidence: 99%

Revenue Impacts of MPP Branded Funds: A Firm-Level Analysis

Jakus¹,

Jensen²,

Davis³

2003

Agric. resour. econ. rev.

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The USDA's Market Access Program (formerly Market Promotion Program) recently underwent a major change to redirect all branded products export promotion funds to small domestic firms and cooperatives. The redirection responded to criticisms by the General Accounting Office of past allocations of branded products export promotion funds to large, experienced exporters. This study uses a firm-level analysis to examine whether firm size and export experience matter in how effectively firms use the promotion funds to increase their revenues. The results support neither the GAO criticisms nor the recent program redirection.

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Market Intermediaries’ Willingness to Pay for Apple, Peach, Cherry, and Strawberry Quality Attributes

Gallardo

McCracken

et al. 2014

Agribusiness

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This study uses discrete choice experiments to determine the valuation that individual market intermediaries (e.g., packers, shippers, marketers, and processors) place on targeted fruit quality traits in apple, peach, cherry, and strawberry for both the fresh and processing market. In general, market intermediaries assigned the greatest value to fruit quality traits that would enhance their profitability through increased consumer appeal, increased marketing time windows, or more efficient processing. These results should inform decisions among fruit marketing intermediary enterprises and contribute knowledge to breeding programs to ensure breeding efforts are focused and relevant to the industry and consumers' needs and desires. 259260 GALLARDO ET AL. on the crop, they store their fruit from short-to long-term and strive to retain critical quality characteristics that permit shipment at opportune market times. Packers place fruit in containers that minimize damage during handling and transporting, while shippers transport and deliver the fruit to locations designated by customers under conditions that maintain appropriate quality standards. Processors provide fruit to their customers in varied and convenient forms: fresh-sliced, frozen, juice, sauce, dried, etc.Despite the intrinsic importance of packers, shippers, marketers, and processors (hereafter referred to as "market intermediaries") in contributing to an efficient and profitable fruit-crop supply chain, no published studies have investigated the preferences and values that market intermediaries place on fruit quality. This study aims to fill this gap in the literature by estimating market intermediaries' willingness-to-pay (WTP) for targeted genetic traits of apples, peaches, sweet and tart cherries, and strawberries. BACKGROUNDThis study is part of a larger project called RosBREED, dedicated to the genetic improvement of US rosaceous crops by targeted applications of genetics knowledge and tools to increase the efficiency of breeding programs and accelerate the development of improved cultivars (Weebadde et al., 2010). RosBREED focuses on fruit quality traits for apples, peaches, sweet and tart cherries, and strawberries, which are economically significant specialty crops that are produced in numerous US regions. The project includes a socio-economic component that seeks to systematically collect information on the values assigned by stakeholders along the supply chain and apply results to ensure breeding efforts are focused and relevant to the industry and consumers' needs and desires . This study is centered on market intermediaries' values for fruit quality attributes. One question of interest is how close are breeders' priorities aligned with market intermediaries' values? A recent survey, asked US breeders about the fruit quality attributes with the highest probability of being included when developing a new cultivar (Yue et al. (2012) and Gallardo et al. (2012). Apple breeders stated that they would likely include fruit crispness, fruit juicine...

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Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles

Cited by 579 publications

References 11 publications

Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles

Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles

Revenue Impacts of MPP Branded Funds: A Firm-Level Analysis

Market Intermediaries’ Willingness to Pay for Apple, Peach, Cherry, and Strawberry Quality Attributes

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