Journal articles on the topic 'Revealed e stated preferences'

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1

Hasanzadeh, Kamyar, Marketta Kyttä, and Greg Brown. "Beyond Housing Preferences: Urban Structure and Actualisation of Residential Area Preferences." Urban Science 3, no. 1 (February 6, 2019): 21. http://dx.doi.org/10.3390/urbansci3010021.

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The concept of residential housing preferences has been studied across multiple disciplines, with extensive literature supporting both stated and revealed preference methods. This study argues that both preference types, stated and revealed, should be assessed concurrently to achieve a more comprehensive understanding of residential housing choices. To provide evidence, this research used findings from a public participation GIS survey that identified the stated housing preferences associated with three categories of urban residents, which were called urban “tribes”. We implemented an analytical framework using fuzzy modelling to relate stated preferences with revealed preferences for the same individuals using empirical data describing the urban structure in Tampere, Finland. Following an analysis of the relationships between residents’ revealed preferences and urban structural variables, we examined the consistency of stated housing preferences with revealed preferences. The results show considerable mismatch between the stated and revealed preferences for the urban tribes that were examined i.e., the preferred housing environment was significantly different from the actual living environment. Further, the stated preferences showed disequilibrium within the current structure of the housing supply in Tampere. The findings can have important implications for housing policy making in Tampere. Further, the use of a novel fuzzy model approach demonstrated a flexible and tolerant method for working with imprecise and variable social data to capture subtle differences. Finally, this study elaborately discusses the remaining limitations and suggests how they should be addressed in future research.
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Ben-Akiva, M., M. Bradley, T. Morikawa, J. Benjamin, T. Novak, H. Oppewal, and V. Rao. "Combining revealed and stated preferences data." Marketing Letters 5, no. 4 (October 1994): 335–49. http://dx.doi.org/10.1007/bf00999209.

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Craig, Ashley C., Ellen Garbarino, Stephanie A. Heger, and Robert Slonim. "Waiting To Give: Stated and Revealed Preferences." Management Science 63, no. 11 (November 2017): 3672–90. http://dx.doi.org/10.1287/mnsc.2016.2504.

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4

Wu, Karen, Chuansheng Chen, and Ellen Greenberger. "A Rosier Reality: Incongruency in Stated and Revealed Ingroup Preferences among Young Asian American Speed Daters." Social Psychology Quarterly 81, no. 4 (October 24, 2018): 340–60. http://dx.doi.org/10.1177/0190272518788860.

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Several studies have identified inconsistencies between “stated” interpersonal attitudes and those “revealed” after an interaction. The authors used the speed-dating paradigm to examine stated and revealed attitudes in ingroup preferences among Asian American subgroups (Chinese, Korean, Vietnamese, and Filipino Americans). Young single Asian Americans ( n = 198) reported preferences for dating different ethnicities and went on speed dates, after which they could offer second dates to their partners. As expected, all four ethnic subgroups showed clear ingroup biases in stated preferences. Ingroup bias in revealed preferences (measured through date offers and ratings of partners’ mate desirability), however, were minimal. At the individual level, stated ingroup preferences did not significantly predict revealed ingroup preferences. In summary, among young Asian Americans, ingroup preferences may not hold in an interactive scenario. The findings suggest that in the presence of personal cues provided through a brief interaction, people may be less prone to make judgments on the basis of ethnicity, even when consequences extend beyond the laboratory. Furthermore, mechanisms for selecting a partner may differ in “hot” (affective) versus “cold” (cognitive) states.
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Urama, Kevin C., and Ian D. Hodge. "Are stated preferences convergent with revealed preferences? Empirical evidence from Nigeria." Ecological Economics 59, no. 1 (August 2006): 24–37. http://dx.doi.org/10.1016/j.ecolecon.2005.09.022.

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Crist, Katie. "Women and Active Travel: Revealed and Stated Preferences." Journal of Transport & Health 14 (September 2019): 100763. http://dx.doi.org/10.1016/j.jth.2019.100763.

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Engström, Per, and Eskil Forsell. "Demand effects of consumers’ stated and revealed preferences." Journal of Economic Behavior & Organization 150 (June 2018): 43–61. http://dx.doi.org/10.1016/j.jebo.2018.04.009.

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8

Cohen, Samantha E., and Peter M. Todd. "Stated and revealed preferences in companion animal choice." Behavior Research Methods 51, no. 4 (May 7, 2019): 1498–509. http://dx.doi.org/10.3758/s13428-019-01253-x.

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Khattak, Asad, Amalia Polydoropoulou, and Moshe Ben-Akiva. "Modeling Revealed and Stated Pretrip Travel Response to Advanced Traveler Information Systems." Transportation Research Record: Journal of the Transportation Research Board 1537, no. 1 (January 1996): 46–54. http://dx.doi.org/10.1177/0361198196153700107.

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Advanced traveler information systems (ATISs) offer benefits to travelers and may improve transportation system performance in congested areas. An understanding of how information affects travelers' decisions can help in evaluating benefits and designing demand management strategies. The objective of the present study was to explore how people deal with unexpected congestion during the pretrip stage and how they might respond to ATISs. Travelers' routes, departure times, and mode selection decisions were investigated through a survey of Bay Area automobile commuters. The effects of various factors such as sources of congestion information (radio traffic reports versus observation), trip characteristics, and route attributes on travelers' responses to unexpected congestion were examined. The pretrip response to future ATIS technologies was explored through stated preferences (hypothetical scenarios). A combined reported preference and stated preference model of traveler response was developed by using the multinomial logit formulation. The estimations indicate that travel time and information are important determinants of changes in travel decisions in response to unexpected delays. The model indicates a strong relationship between reported and stated preferences. The results indicate that ATISs overcome behavioral inertia and that individuals are more likely to change their travel patterns in response to prescriptive information. More specific findings and their implications for ATIS design are also discussed.
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de Corte, Kaat, John Cairns, and Richard Grieve. "Stated versus revealed preferences: An approach to reduce bias." Health Economics 30, no. 5 (March 9, 2021): 1095–123. http://dx.doi.org/10.1002/hec.4246.

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11

Fossen, Frank M., and Daniela Glocker. "Stated and revealed heterogeneous risk preferences in educational choice." European Economic Review 97 (August 2017): 1–25. http://dx.doi.org/10.1016/j.euroecorev.2017.03.016.

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Sugden, Robert. "Debiasing or regularisation? Two interpretations of the concept of ‘true preference’ in behavioural economics." Theory and Decision 92, no. 3-4 (February 28, 2022): 765–84. http://dx.doi.org/10.1007/s11238-022-09876-x.

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AbstractI reconsider Bleichrodt, Pinto Prades and Wakker’s (BPW) 2001 paper about eliciting utility measures from stated preference surveys. That paper pioneers a method that is now widely used in behavioural economics to correct individuals’ ‘biases’ and to recover their ‘true preferences’. However, BPW propose this method as way of dealing with inconsistent responses to stated preference surveys, in contrast to more recent applications which aim to help individuals to avoid supposed mistakes in their private choices. I argue that the concepts of true preference and bias are empirically ungrounded, but that BPW’s approach can be interpreted as not invoking those concepts. By ‘regularising’ preferences revealed in actual choice, this approach constructs measures of individual welfare that are broadly aligned with actual preferences and consistent with normative standards of rationality that are appropriate for public decision-making. Public decision-makers’ normative judgements are made explicit, rather than being disguised as apparently empirical claims about true preferences.
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Ciobotaru, Laurentiu-Cristian, Sul Kim, and Arthur van Soest. "Household Preferences for Investing in Crowdfunding." De Economist 169, no. 4 (October 19, 2021): 499–522. http://dx.doi.org/10.1007/s10645-021-09395-0.

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AbstractUsing representative survey data on the Dutch population, we analyze households’ actual participation and stated preferences for crowdfunding involvement at the extensive and intensive margin, with emphasis on the relation with investing in socially responsible assets. We find that crowdfunding investors are higher educated and more future oriented than others, whereas risk aversion plays a negative but insignificant role. Financial literacy is positively associated with knowing about crowdfunding, but not with actual participation. A stated choice preference experiment largely confirms these relations. At the intensive margin, however, results are rather different: Women have a stronger preference for crowdfunding than men do. Financial literacy reduces the preferred share invested in crowdfunding. We find a strong positive relation between crowdfunding and socially responsible investing. We identify several common factors: a desire to contribute to improving society and a lack of confidence in traditional financial institutions. Comparing stated and revealed preferences, we find that the potential for attracting more crowdfunding funders is much smaller than for attracting socially responsible investors.
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Halse, Askill Harkjerr, Vegard Østli, and Marit Killi. "Revealed and stated preferences for reliable commuter rail in Norway." Transportation Letters 12, no. 4 (March 4, 2019): 288–92. http://dx.doi.org/10.1080/19427867.2019.1586088.

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Azevedo, Christopher D., Joseph A. Herriges, and Catherine L. Kling. "Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations." American Journal of Agricultural Economics 85, no. 3 (August 2003): 525–37. http://dx.doi.org/10.1111/1467-8276.00453.

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Ben-Akiva, Moshe, and Takayuki Morikawa. "Estimation of switching models from revealed preferences and stated intentions." Transportation Research Part A: General 24, no. 6 (November 1990): 485–95. http://dx.doi.org/10.1016/0191-2607(90)90037-7.

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17

Keller, Lucas, Maik Bieleke, Kim-Marie Koppe, and Peter M. Gollwitzer. "Overclaiming is not related to dark triad personality traits or stated and revealed risk preferences." PLOS ONE 16, no. 8 (August 2, 2021): e0255207. http://dx.doi.org/10.1371/journal.pone.0255207.

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The tendency to be overly confident in one’s future and skills has long been studied. More recently, a correlate of this overconfidence, the tendency to overclaim knowledge, has been in the focus of research. Its antecedents and downstream behavioral consequences are still in question. In a sample of undergraduate students (N = 168), we tested whether a set of characteristics of the person (e.g., age, gender) and personality traits (i.e., the Dark Triad) is related to overclaiming knowledge. Moreover, we investigated whether overclaiming, in turn, predicts risk preferences. To this end, we asked individuals to rate their confidence in solving a set of different math problems and their familiarity with a set of math concepts. Some of these concepts were nonexistent, thereby allowing participants to overclaim knowledge. Participants then stated their general risk preference and performed three tasks revealing their general, financial, and social risk preferences. We demonstrated the hypothesized relationship between overclaiming and confidence. Furthermore, we observed that the assessed characteristics of the person were not correlated with overclaiming. If anything, height and digit ratio, a phenomenological correlate of hormonal differences during development, tended to be associated with overclaiming. Surprisingly, overclaiming was not at all related to risk preferences or personality traits. This set of results shows the need for relevant theoretical and methodological refinements.
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Phaneuf, D. J., L. O. Taylor, and J. B. Braden. "Combining Revealed and Stated Preference Data to Estimate Preferences for Residential Amenities: A GMM Approach." Land Economics 89, no. 1 (December 13, 2012): 30–52. http://dx.doi.org/10.3368/le.89.1.30.

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Coote, Leonard V., Joffre Swait, and Wiktor Adamowicz. "Separating generalizable from source-specific preference heterogeneity in the fusion of revealed and stated preferences." Journal of Choice Modelling 40 (September 2021): 100302. http://dx.doi.org/10.1016/j.jocm.2021.100302.

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Brown, Joanna, Gregory Colson, Claire B. de La Serre, and Nicholas Magnan. "Summer Garden Programs Improve Children’s Food Knowledge and Preferences: Evidence Using Stated and Revealed Preference Measures." HortTechnology 26, no. 2 (April 2016): 133–40. http://dx.doi.org/10.21273/horttech.26.2.133.

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One reason for excessive body weight among youth is poor eating choices. Garden-based programs have the potential to educate children about fruits and vegetables and healthy eating generally, and improve their food preferences. This study examines the impacts of two community-based summer garden programs in Atlanta, GA, on children aged 5–14 years (n = 71). These programs spanned 1 to 2 weeks and included daily gardening activities and nutritional education. The study employs a pre- and postprogram questionnaire and a food choice experiment to evaluate changes in knowledge about and preferences for healthy and unhealthy foods. Results show that the programs substantially and significantly increased knowledge about nutrients (P < 0.01), plants (P < 0.1), and healthy foods (P < 0.01). The programs also increased the number of fruits and vegetables participants tried (P < 0.1) and their propensity to make healthy choices in the food experiment (P < 0.1). Regression analysis shows program impacts on plant knowledge (P < 0.1) and fruits and vegetables tried (P < 0.1) to be lower for African American children (n = 38) and all other program impacts to be statistically homogenous. At least in the short term, garden programs such as these can alter children’s preferences and decisions regarding healthy eating. More research is needed to see if these effects persist and ultimately improve health outcomes into adulthood.
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Araya, Roberto, and Raúl Gormaz. "Revealed Preferences of Fourth Graders When Requesting Face-to-Face Help While Doing Math Exercises Online." Education Sciences 11, no. 8 (August 13, 2021): 429. http://dx.doi.org/10.3390/educsci11080429.

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When in doubt, asking a peer can be very helpful. Students learn a lot of social strategies from peers. However, stated preference studies have found that for elementary school students with math questions, they prefer to ask their teacher for help. In this paper, we study revealed preferences instead of stated preferences. We analyzed the behavior of fourth-grade students seeking face-to-face assistance while working on an online math platform. Students started by working independently on the platform, before the teacher selected two or three tutors from among those who have answered 10 questions correctly. Each student was then able to choose between the teacher or one of these tutors when requesting assistance. We studied the students’ preferences over 3 years, involving 88 fourth-grade classes, 2700 students, 1209 sessions with classmate tutors, and a total of 16,485 requests for help when there was an option to choose between a teacher or a classmate. We found that students prefer asking classmates for help three times more than asking their teachers when given the choice. Furthermore, this gap increases from the first to the second semester. We also found that students prefer to request help from classmates of the same sex and of higher academic performance. In this context, students from the two highest tertiles sought help from classmates in the same two tertiles, and students from the medium tertile prefer to seek help from students of the highest tertile. However, students in the two lowest tertiles do not prefer asking for help from students from the top tertile more than from their own tertiles.
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Tayyaran, Mohammad R., and Ata M. Khan. "Telecommuting and residential location decisions: combined stated and revealed preferences model." Canadian Journal of Civil Engineering 34, no. 10 (October 1, 2007): 1324–33. http://dx.doi.org/10.1139/l07-052.

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This paper reports on a combined stated preference (SP) and revealed preference (RP) model for studying the effect of telecommuting on households’ residential location decisions. Logit models were developed to estimate the parameters of the utility function. The required data for the model estimation were collected in an attitudinal survey of employees of selected private and public organizations in the Ottawa–Carleton region. The RP information included respondents’ residential, employment, and socioeconomic characteristics. To obtain the SP responses, the respondents were presented with a number of hypothetical residential choice scenarios defined on the basis of SP experimental design. The sequential maximum likelihood estimation procedure was used to obtain taste parameters of the combined multinomial logit model. The empirical case study demonstrated practical application of the method. The hybrid model is a useful tool for urban development planning. On the basis of the results, it is concluded that telecommuting is a highly significant factor in residential location decisions.Key words: telecommuting, land use, residential location, modelling, urban development, stated preference, revealed preference.
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Little, J. M., K. M. Grimsrud, P. A. Champ, and R. P. Berrens. "Investigation of Stated and Revealed Preferences for an Elk Hunting Raffle." Land Economics 82, no. 4 (November 1, 2006): 623–40. http://dx.doi.org/10.3368/le.82.4.623.

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Bigerna, S., C. A. Bollino, S. Micheli, and P. Polinori. "Revealed and stated preferences for CO2 emissions reduction: The missing link." Renewable and Sustainable Energy Reviews 68 (February 2017): 1213–21. http://dx.doi.org/10.1016/j.rser.2016.02.020.

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Venter, Christoffel J. "Segmenting the Market for New Modes using Stated and Revealed Preferences." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 8 (September 9, 2018): 796–806. http://dx.doi.org/10.1177/0361198118796067.

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Musolino, Dario, Ilaria Mariotti, and Aleid E. Brouwer. "Stated and revealed locational preferences of firms: a national scale perspective." Annals of Regional Science 64, no. 3 (March 4, 2020): 493–99. http://dx.doi.org/10.1007/s00168-020-00982-8.

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DOLAN, PAUL, ROBERT METCALFE, VICKI MUNRO, and MICHAEL C. CHRISTENSEN. "Valuing lives and life years: anomalies, implications, and an alternative." Health Economics, Policy and Law 3, no. 3 (July 2008): 277–300. http://dx.doi.org/10.1017/s1744133108004507.

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AbstractMany government interventions seek to reduce the risk of death. The value of preventing a fatality (VPF) is the monetary amount associated with each statistical death that an intervention can be expected to prevent. The VPF has been estimated using a preference-based approach, either by observing market behaviour (revealed preferences) or by asking hypothetical questions that seek to replicate the market (stated preferences). The VPF has been shown to differ across and within these methods. In theory, the VPF should vary according to factors such as baseline and background risk, but, in practice, the estimates vary more by theoretically irrelevant factors, such as the starting point in stated preference studies. This variation makes it difficult to choose one unique VPF. The theoretically irrelevant factors also affect the estimates of the monetary value of a statistical life year and the value of a quality-adjusted life year. In light of such problems, it may be fruitful to focus more research efforts on generating the VPF using an approach based on the subjective well-being associated with different states of the world.
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Niankara, Ibrahim. "Evaluating health consumers' preferences stability through joint estimation of revealed and stated health insurance preferences data." International Journal of Economics and Business Research 15, no. 2 (2018): 236. http://dx.doi.org/10.1504/ijebr.2018.089689.

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Niankara, Ibrahim. "Evaluating health consumers' preferences stability through joint estimation of revealed and stated health insurance preferences data." International Journal of Economics and Business Research 15, no. 2 (2018): 236. http://dx.doi.org/10.1504/ijebr.2018.10010326.

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Polydoropoulou, Amalia, Moshe Ben-Akiva, Asad Khattak, and Geoffrey Lauprete. "Modeling Revealed and Stated En-Route Travel Response to Advanced Traveler Information Systems." Transportation Research Record: Journal of the Transportation Research Board 1537, no. 1 (January 1996): 38–45. http://dx.doi.org/10.1177/0361198196153700106.

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Advanced traveler information systems (ATISs) are being developed to provide travelers with real-time information about traffic conditions. To evaluate the benefits of ATIS products and services, questions concerning the potential market, use, and travel response must be addressed. The present focus is on the en-route travel response to ATISs. The main objective is to explore how travelers deal with unexpected congestion and how they might respond to qualitative, quantitative, prescriptive, and predictive information. Data on travelers' route-switching decisions were obtained through a survey of California Bay Area automobile commuters. The effects of various factors, such as sources of congestion information (radio traffic reports versus observation), trip characteristics, and route attributes on traveler response to unexpected congestion, were investigated. Future response to ATIS technologies was explored by using stated preferences, that is, hypothetical ATIS scenarios. A combined reported and stated preference model of traveler response was developed. The results indicate that expected delays on the usual route, travel time on alternative routes, perceived congestion level on alternative routes, and information sources are important determinants of travel decision changes in response to unexpected delays. The modeling methodology identifies the effects of experience and behavioral inertia on choices and captures inherent biases in the stated preference responses. Overall, travelers are more likely to respond to specific quantitative delay information.
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Alberini, Anna. "Revealed versus Stated Preferences: What Have We Learned About Valuation and Behavior?" Review of Environmental Economics and Policy 13, no. 2 (July 1, 2019): 283–98. http://dx.doi.org/10.1093/reep/rez010.

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Becker, Nir, Tchai Tavor, Lili Friedler, and Pua Bar (Kutiel). "Consumers’ Preferences Toward Organic Tomatoes: A Combined Two-Phase Revealed-Stated Approach." Journal of International Food & Agribusiness Marketing 28, no. 1 (January 2, 2016): 1–17. http://dx.doi.org/10.1080/08974438.2014.940123.

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Woldu, Tatek, André Markemann, Christoph Reiber, Girma T. Kassie, and Anne Valle Zárate. "Combining revealed and stated preferences to define goat breeding objectives in Ethiopia." Livestock Science 191 (September 2016): 179–86. http://dx.doi.org/10.1016/j.livsci.2016.08.008.

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Verhoef, Peter C., and Philip Hans Franses. "Combining Revealed and Stated Preferences to Forecast Customer Behaviour: Three Case Studies." International Journal of Market Research 45, no. 4 (July 2003): 1–8. http://dx.doi.org/10.1177/147078530304500402.

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Lepper, Simon, Anika Rädke, Hannah Wehrmann, Bernhard Michalowsky, and Wolfgang Hoffmann. "Preferences of Cognitively Impaired Patients and Patients Living with Dementia: A Systematic Review of Quantitative Patient Preference Studies." Journal of Alzheimer's Disease 77, no. 2 (September 15, 2020): 885–901. http://dx.doi.org/10.3233/jad-191299.

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Background: Treatment decisions based on guidelines rather than patients’ preferences determine adherence to and compliance with treatment, which, in turn, could improve health-related outcomes. Objectives: To summarize the stated treatment and care preferences of people with dementia (PwD). Methods: A systematic review was conducted to assess the stated preferences of PwD. The inclusion criterion was the use of quantitative methods to elicit stated preferences, enabling a ranking of preferences. Results: Eleven studies revealed preferences for diagnostics, treatment decisions, patient-related outcomes, care services, end-of-life care, leisure activities, and digital life story work. PwDs prefer accurate, pain-free, and comfortable diagnostic procedures without radioactive markers as well as being accompanied by a caregiver. PwD’s quality of life (QoL), self-efficacy, and depression were equally most important for PwD and caregivers. However, PwD memory was only important for caregivers but not for PwD, and caregiver QoL was moderately important for PwD but least important for caregivers. Additionally, comfort and family involvement were most important for patients’ end-of-life care, whereas caregivers most preferred good communication and pain management. Also, preferences depend on the living situation: Patients living not alone prefer a regular care provider most, whereas those living alone only want to live nearby the caregiver. Preferences for leisure activities did not differ between past and present ratings, indicating that PwD prefer activities that have always been carried out. Conclusion: Only a few studies have applied quantitative methods to elicit the preferences of PwD. More research is needed to capture the stated preferences for the treatment, care, and support of PwD to improve health-related outcomes and the allocation of healthcare resources.
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Andrejszki, Tamas, Adam Torok, and Maria Csete. "Identifyingy the Utility Function of Transport Services From Stated Preferences." Transport and Telecommunication Journal 16, no. 2 (June 1, 2015): 138–44. http://dx.doi.org/10.1515/ttj-2015-0013.

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Abstract The aim of this study was to analyze the modal shift of passengers by analyzing their preferences. If the preferences of passengers are known it is possible to build up mathematically their utility function. This is the statistically correct way to simulate the modal shift of the investigated area. To capture the preferences of passengers stated preference method was used in online questionnaire. Five key factors were identified (from the point of passengers): travel cost, travel time, comfort, safety and environmental efficiency. In order to decrease the number of questions three levels were predefined these three questions made the base of the choice model. Every replier got three alternatives and they were told to choose the best for themselves. From the results of the questionnaire the formulas and the parameters of the mode choice utility function was derived. With the help of statistical sample an exponential utility function showed the best matching. For the validation process a probability model was set up to be compared to the proportions of the utilities. With this utility function it is possible to handle the changes in possible future transport services. Based on the introduced statistical approach the described method can be used to identify the effect of transport modes on regional development and tourism. The revealed utility function can help to develop proper regional development plans.
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ALKAN, Sezai, and Özlem BERBER. "Determination of Egg Consumption Behaviors of Consumers in Bursa Province." Ordu Üniversitesi Bilim ve Teknoloji Dergisi 12, no. 2 (December 31, 2022): 109–18. http://dx.doi.org/10.54370/ordubtd.1109564.

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In this study, it is aimed to determine the egg consumption behaviors of consumers in Bursa. For this purpose, data obtained from face-to-face surveys with 460 people determined by simple random sampling from citizens residing in Bursa province in 2021 were used. It was revealed that 30% of families consume 10-15 eggs, 27% consume 20 or more eggs, 25.7% consume 15-20 eggs, and 17% consume 5-10 eggs per week. In the research, 47% of consumers preferred medium and 47% large eggs. At the same time, 55% of the consumers stated that the packaging style affects their purchasing preferences, whereas 45% stated that it did not. In the research, 31.3% of the consumers stated that they preferred brown-shelled eggs and 22.6% of them preferred white-shelled eggs. On the other hand, it was determined that the color of the eggshell was not effective in the purchasing preference of 46.1% of the consumers. Also, 69.6% of consumers stated that the color of egg yolk was effective in their preferences and 72.4% of them stated that they preferred dark yolk eggs. While 57% of consumers stated that covid-19 cases did not affect egg consumption, 26.1% stated that egg consumption increased.
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Brownstone, David, David S. Bunch, and Kenneth Train. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles." Transportation Research Part B: Methodological 34, no. 5 (June 2000): 315–38. http://dx.doi.org/10.1016/s0191-2615(99)00031-4.

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de Koning, Koen, Tatiana Filatova, and Okmyung Bin. "Bridging the Gap Between Revealed and Stated Preferences in Flood-prone Housing Markets." Ecological Economics 136 (June 2017): 1–13. http://dx.doi.org/10.1016/j.ecolecon.2017.01.022.

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Mata, Rui, Renato Frey, David Richter, Jürgen Schupp, and Ralph Hertwig. "Risk Preference: A View from Psychology." Journal of Economic Perspectives 32, no. 2 (May 1, 2018): 155–72. http://dx.doi.org/10.1257/jep.32.2.155.

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Psychology offers conceptual and analytic tools that can advance the discussion on the nature of risk preference and its measurement in the behavioral sciences. We discuss the revealed and stated preference measurement traditions, which have coexisted in both psychology and economics in the study of risk preferences, and explore issues of temporal stability, convergent validity, and predictive validity with regard to measurement of risk preferences. As for temporal stability, do risk preference as a psychological trait show a degree of stability over time that approximates what has been established for other major traits, such as intelligence, or, alternatively, are they more similar in stability to transitory psychological states, such as emotional states? Convergent validity refers to the degree to which different measures of a psychological construct capture a common underlying characteristic or trait. Do measures of risk preference all capture a unitary psychological trait that is indicative of risky behavior across various domains, or do they capture various traits that independently contribute to risky behavior in specific areas of life, such as financial, health, and recreational domains? Predictive validity refers to the extent to which a psychological trait has power in forecasting behavior. Intelligence and major personality traits have been shown to predict important life outcomes, such as academic and professional achievement, which suggests there could be studies of the short- and long-term outcomes of risk preference— something lacking in current psychological (and economic) research. We discuss the current empirical knowledge on risk preferences in light of these considerations.
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41

Bakke, Alyssa J., Catherine V. Shehan, and John E. Hayes. "Type of milk typically consumed, and stated preference, but not health consciousness affect revealed preferences for fat in milk." Food Quality and Preference 49 (April 2016): 92–99. http://dx.doi.org/10.1016/j.foodqual.2015.12.001.

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42

Majumdar, Chirodip. "Willingness to Pay for Air Quality Improvement in Kolkata, India: Revealed and Stated Preferences." Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics 53, no. 2 (June 1, 2011): 103. http://dx.doi.org/10.21648/arthavij/2011/v53/i2/115246.

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43

Paakala, Elina, Daniel Martín-Collado, Asko Mäki-Tanila, and Jarmo Juga. "Farmers’ stated selection preferences differ from revealed AI bull selection in Finnish dairy herds." Livestock Science 240 (October 2020): 104117. http://dx.doi.org/10.1016/j.livsci.2020.104117.

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44

Dehdari, Sirus H., and Kai Gehring. "The Origins of Common Identity: Evidence from Alsace-Lorraine." American Economic Journal: Applied Economics 14, no. 1 (January 1, 2022): 261–92. http://dx.doi.org/10.1257/app.20190772.

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We study how more negative historical exposure to the actions of nation-states—like war, occupation, and repression—affects the formation of regional identity. The quasi-exogenous division of the French regions Alsace and Lorraine allows us to implement a geographical regression discontinuity design at the municipal level. Using measures of stated and revealed preferences, we find that more negative experiences with nation-states are associated with a stronger regional identity in the short, medium, and long run. This is linked to preferences for more regional decision-making. Establishing regional organizations seems to be a key mechanism to maintaining and strengthening regional identity. (JEL H77, N43, N44, N93, N94, Z13)
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45

Vasanen, Antti. "Beyond stated and revealed preferences: the relationship between residential preferences and housing choices in the urban region of Turku, Finland." Journal of Housing and the Built Environment 27, no. 3 (February 15, 2012): 301–15. http://dx.doi.org/10.1007/s10901-012-9267-8.

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46

Whitehead, John C. "Albemarle–Pamlico Sounds revealed and stated preference data." Data in Brief 3 (June 2015): 90–94. http://dx.doi.org/10.1016/j.dib.2015.01.006.

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47

Train, Kenneth, and Wesley W. Wilson. "Estimation on stated-preference experiments constructed from revealed-preference choices." Transportation Research Part B: Methodological 42, no. 3 (March 2008): 191–203. http://dx.doi.org/10.1016/j.trb.2007.04.012.

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48

Arriagada, Ricardo, Felipe Lagos, Marcela Jaime, and César Salazar. "Exploring consistency between stated and revealed preferences for the plastic bag ban policy in Chile." Waste Management 139 (February 2022): 381–92. http://dx.doi.org/10.1016/j.wasman.2021.12.040.

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49

Brooks, Kathleen, and Jayson L. Lusk. "Stated and Revealed Preferences for Organic and Cloned Milk: Combining Choice Experiment and Scanner Data." American Journal of Agricultural Economics 92, no. 4 (July 2010): 1229–41. http://dx.doi.org/10.1093/ajae/aaq054.

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50

Knapp, Lauren, Eric O'Shaughnessy, Jenny Heeter, Sarah Mills, and John M. DeCicco. "Will consumers really pay for green electricity? Comparing stated and revealed preferences for residential programs in the United States." Energy Research & Social Science 65 (July 2020): 101457. http://dx.doi.org/10.1016/j.erss.2020.101457.

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