Relevant bibliographies by topics / Risk preferences

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Risk preferences'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Risk preferences"

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Miao, Bin, and Songfa Zhong. "Comment on “Risk Preferences Are Not Time Preferences”: Separating Risk and Time Preference." American Economic Review 105, no. 7 (2015): 2272–86. http://dx.doi.org/10.1257/aer.20131183.

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Andreoni and Sprenger (2012a,b) observe that utility functions are distinct for risk and time preferences, and show that their findings are consistent with a preference for certainty. We revisit this question in an enriched experimental setting in which subjects make intertemporal decisions under different risk conditions. The observed choice behavior supports a separation between risk attitude and intertemporal substitution rather than a preference for certainty. We further show that several models, including Epstein and Zin (1989); Chew and Epstein (1990); and Halevy (2008) exhibit such a se
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Schildberg-Hörisch, Hannah. "Are Risk Preferences Stable?" Journal of Economic Perspectives 32, no. 2 (2018): 135–54. http://dx.doi.org/10.1257/jep.32.2.135.

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It is ultimately an empirical question whether risk preferences are stable over time. The evidence comes from diverse strands of literature, covering the stability of risk preferences in panel data over shorter periods of time, life-cycle dynamics in risk preferences, the possibly long-lasting effects of exogenous shocks on risk preferences as well as temporary variations in risk preferences. Individual risk preferences appear to be persistent and moderately stable over time, but their degree of stability is too low to be reconciled with the assumption of perfect stability in neoclassical econ
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Andreoni, James, and Charles Sprenger. "Risk Preferences Are Not Time Preferences." American Economic Review 102, no. 7 (2012): 3357–76. http://dx.doi.org/10.1257/aer.102.7.3357.

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Risk and time are intertwined. The present is known while the future is inherently risky. This is problematic when studying time preferences since uncontrolled risk can generate apparently present-biased behavior. We systematically manipulate risk in an intertemporal choice experiment. Discounted expected utility performs well with risk, but when certainty is added common ratio predictions fail sharply. The data cannot be explained by prospect theory, hyperbolic discounting, or preferences for resolution of uncertainty, but seem consistent with a direct preference for certainty. The data sugge
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Guan, Zhengfei, and Feng Wu. "Modeling heterogeneous risk preferences." Agricultural Finance Review 77, no. 2 (2017): 324–36. http://dx.doi.org/10.1108/afr-03-2015-0016.

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Purpose The purpose of this paper is to propose a general framework for modeling heterogeneous risk preferences of agricultural producers and identifying the underlying factors that affect risk preferences. Design/methodology/approach This paper nests the risk preference function in a general production decision framework to test and model producers’ risk preferences. The framework allows for both production and price risk, and accommodates potential inefficient behavior. Panel data and the GMM method are used in the empirical estimation. Findings The results in this study confirmed the hypoth
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Felder, Stefan, and Thomas Mayrhofer. "Risk Preferences." Medical Decision Making 34, no. 1 (2013): 33–41. http://dx.doi.org/10.1177/0272989x13493969.

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Shrinivas, Aditya, and Marcel Fafchamps. "Testing Efficient Risk Sharing with Heterogeneous Risk Preferences: Comment." American Economic Review 108, no. 10 (2018): 3104–13. http://dx.doi.org/10.1257/aer.20170413.

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Mazzocco and Saini (2012) propose and implement a test of efficient risk sharing that allows for preference heterogeneity. They motivate their approach as yielding different results from those of a standard efficiency test with homogeneous preferences. We show that the standard efficiency test results are misreported in their paper and that the correctly reported results do not present as compelling a case for the importance of accounting for heterogeneous preferences. (JEL D12, D81, G22, O12, O18, R23, Z13)
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Eeckhoudt, Louis, and Harris Schlesinger. "Putting Risk in Its Proper Place." American Economic Review 96, no. 1 (2006): 280–89. http://dx.doi.org/10.1257/000282806776157777.

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This paper examines preferences toward particular classes of lottery pairs. We show how such concepts as prudence and temperance can be fully characterized by a preference relation over these lotteries. If preferences are defined in an expectedutility framework with differentiable utility, the direction of preference for a particular class of lottery pairs is equivalent to signing the nth derivative of the utility function. What makes our characterization appealing is its simplicity, which seems particularly amenable to experimentation.
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Hansson, Helena, and Carl Johan Lagerkvist. "Measuring farmers’ preferences for risk: a domain-specific risk preference scale." Journal of Risk Research 15, no. 7 (2012): 737–53. http://dx.doi.org/10.1080/13669877.2012.657217.

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Callen, Michael, Mohammad Isaqzadeh, James D. Long, and Charles Sprenger. "Violence and Risk Preference: Experimental Evidence from Afghanistan." American Economic Review 104, no. 1 (2014): 123–48. http://dx.doi.org/10.1257/aer.104.1.123.

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We investigate the relationship between violence and economic risk preferences in Afghanistan combining: (i) a two-part experimental procedure identifying risk preferences, violations of Expected Utility, and specific preferences for certainty; (ii) controlled recollection of fear based on established methods from psychology; and (iii) administrative violence data from precisely geocoded military records. We document a specific preference for certainty in violation of Expected Utility. The preference for certainty, which we term a Certainty Premium, is exacerbated by the combination of violent
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Song, Meili, Xuemei Yin, and Yonglong Wang. "A Study of Supply Chain Decision-Making Considering Bilateral Power Equivalence from the Perspective of fairness Concerns." International Journal of Global Economics and Management 7, no. 1 (2025): 217–27. https://doi.org/10.62051/ijgem.v7n1.26.

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This paper explores the supply chain decision-making problem under bilateral power equivalence based on the equity concern perspective. Specifically, the equilibrium solutions of the Nash game under risk-neutral, supplier fairness concern and retailer fairness concern are derived and comparatively analysed in the case of power equivalence between upstream and downstream firms in the supply chain. The results show that the retail price is largest when the retailer has fair concern preferences, followed by the risk-neutral and supplier fair concern preferences; the production inputs and the supp
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Dissertations / Theses on the topic "Risk preferences"

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Abbot, Tyler. "Heterogeneous risk preferences : theory and empirics." Thesis, Paris, Institut d'études politiques, 2019. http://www.theses.fr/2019IEPP0031.

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Cette thèse étudie la solution à plusieurs modèles de marchés financiers avec des agents hétérogènes dont le taux d'aversion au risque diffère. Le premier chapitre résout un modèle avec des marchés complets et des dividendes définis par un mouvement brownien géométrique. Le deuxième chapitre résout un modèle similaire, mais avec un dividende qui revient à sa moyenne et montre comment on peut estimer le modèle. Le troisième chapitre résout le modèle du premier chapitre quand les agents sont confrontés à des contraintes convexes de portefeuille<br>This thesis studies the solution to several mode
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Drapeau, Samuel. "Risk preferences and their robust representation." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2010. http://dx.doi.org/10.18452/16135.

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Ziel dieser Dissertation ist es, den Begriff des Risikos unter den Aspekten seiner Quantifizierung durch robuste Darstellungen zu untersuchen. In einem ersten Teil wird Risiko anhand Kontext-Invarianter Merkmale betrachtet: Diversifizierung und Monotonie. Wir führen die drei Schlüsselkonzepte, Risikoordnung, Risikomaß und Risikoakzeptanzfamilen ein, und studieren deren eins-zu-eins Beziehung. Unser Hauptresultat stellt eine eindeutige duale robuste Darstellung jedes unterhalbstetigen Risikomaßes auf topologischen Vektorräumen her. Wir zeigen auch automatische Stetigkeitsergebnisse und ro
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Pascu, Iuliana. "Essays on health economics and risk preferences." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81044.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 145-147).<br>This dissertation is a collection of three essays on hospital response to regulation and risk preferences. Chapter 1 analyzes the Medicare Flex Program which allowed rural hospitals with fewer than 25 beds to convert to "Critical Access Hospital" status and receive cost-based Medicare reimbursement. Converting hospitals decrease their inpatient capacity by 30 percent on average to satisfy the bed requirement. They als
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Preston, Charles. "Analysing Risk Preferences and Time Preferences with respect to Smoking Status and Smoking Intensity." Master's thesis, Faculty of Commerce, 2019. http://hdl.handle.net/11427/30954.

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Smoking is a leading cause of death worldwide, and thus the behavioural components need to be understood to mitigate the damage caused by the practice. The relationship between smoking and factors such as risk preferences and time preferences has been the subject of a growing body of literature. This paper evaluates experimental data from smokers and nonsmokers at the University of Cape Town collected in 2016 and 2017. Maximum likelihood estimation is used to estimate models of risk preferences and time preferences. The results highlight that smokers are less risk averse than non-smokers; that
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Harris, Alexander Nicholas Edward. "Preferences and cooperation." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/287933.

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Chapter 1: Evolution of reciprocator preferences when agents can pay for information. A benchmark result in the evolutionary games literature is that a preference for reciprocity will evolve if preferences are observable (at zero cost), since reciprocators can cooperate with each other rather than with materialists, thereby achieving a fitness advantage. I investigate how a preference for reciprocity evolves if individuals can observe an opponent's preferences only by bearing a fitness cost. My main result applies when observing an opponent's type is cheap, but cooperating only gives a modest
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Licata, David. "Time-Varying Preferences, Risk Premia, and Tobin Constraints." Thesis, University of California, Irvine, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3669381.

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<p> The first chapter of my thesis explores monetary policy in a New Keynesian model with Markov-switching risk aversion. The second considers the implications for the macroeconomic and financial properties of an RBC model of the presence of habit formation. The third examines the result of adding the ``Tobin constraint" that shares equal the capital stock to a benchmark RBC mdoel. The underlying theme of these endeavors is rendering macroeconomic models more realistic via the introduction of time-varying preferences, non-linear modelling, and financial frictions.</p>
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Beltrán, Barco Arlette Cecilia Lourdes. "Gender differences in firm’s leadership and risk preferences." Doctoral thesis, Pontificia Universidad Católica del Perú, 2018. http://tesis.pucp.edu.pe/repositorio/handle/123456789/12933.

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This thesis is composed of two studies related to gender issues in economics. The first one explores whether companies experience benefits when the firm’s CEO and owner are both women. It employs data from the 2009-2014 World Bank Enterprise Surveys (WBES) to measure firms’ performance through growth in sales and productivity. Potential endogeneity was corrected by using the UN Gender Development Index and the average fertility rate as they comply with the exclusion restrictions. The paper uses the Control Function method with a Probit first stage estimation and an OLS main equation. The find
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Heckman, Stuart J. "Consumer Risk Preferences and Higher Education Enrollment Decisions." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1404299902.

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Karlsson, Anders. "Investment Decisions and Risk Preferences among Non-Professional Investors." Doctoral thesis, Stockholm : School of Business, Stockholm University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-6841.

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Lampi, Elina. "Individual preferences, choices, and risk perceptions - survey based evidence /." Göteborg : University of Gothenburg, 2008. http://catalog.hathitrust.org/api/volumes/oclc/235948582.html.

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Books on the topic "Risk preferences"

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Chetty, Raj. Consumption commitments and risk preferences. National Bureau of Economic Research, 2006.

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Cohen, Alma. Estimating risk preferences from deductible choice. National Bureau of Economic Research, 2005.

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Cohen, Alma. Estimating risk preferences from deductible choice. National Bureau of Economic Research, 2005.

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Postlewaite, A. Consumption, commitments and preferences for risk. National Bureau of Economic Research, 2004.

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Lettau, Martin. Preferences, consumption smoothing, and risk premia. Centre for Economic Policy Research, 1997.

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Cohen, Alma. Estimating risk preferences from deductible choice. Harvard Law School, 2007.

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Barberis, Nicholas. Individual preferences, monetary gambles and the equity premium. National Bureau of Economic Research, 2003.

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Lampi, Elina. Individual preferences, choices, and risk perceptions: Survey based evidence. University of Gothenburg, 2008.

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Bellemare, Charles. Sorting, incentives and risk preferences: Evidence from a field experiment. IZA, 2006.

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Lajeri, Fatma. Risk aversion and prudence: The case of mean-variance preferences. INSEAD, 1993.

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Book chapters on the topic "Risk preferences"

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Watt, Richard. "Risk and preferences." In The Microeconomics of Risk and Information. Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-34420-4_2.

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Mueller, Monika, Paul Resnik, and Craig Saunders. "Risk Preferences of Investors." In Palgrave Studies in Financial Services Technology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40818-3_3.

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Stommel, Evelyn. "Third experimental study: Managerial reference point formation: risk, affects, and ownership." In Reference-Dependent Preferences. Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-00635-8_7.

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Ertek, Gürdal, Murat Kaya, Cemre Kefeli, Özge Onur, and Kerem Uzer. "Scoring and Predicting Risk Preferences." In Behavior Computing. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2969-1_9.

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Gully, Torsten. "Risk Preferences of Informed Newsvendors." In Non-Profit-Maximizing Behavior in Supply Chain Management. Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-24088-2_2.

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Carlsson, Christer, and Robert Fullér. "Risk Assessment of SLAs in Grid Computing with Predictive Probabilistic and Possibilistic Models." In Preferences and Decisions. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15976-3_2.

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Weiss, Michael D. "Expected Utility Theory without Continuous Preferences." In Risk, Decision and Rationality. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4019-2_7.

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Jumare, Hafsah, Martine Visser, and Kerri Brick. "Risk preferences and the poverty trap." In Agricultural Adaptation to Climate Change in Africa. Routledge, 2018. http://dx.doi.org/10.4324/9781315149776-8.

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Denneberg, D. "On Non-Expected-Utility Preferences." In Progress in Decision, Utility and Risk Theory. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3146-9_5.

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Dake, Karl, and Aaron Wildavsky. "Individual Differences in Risk Perception and Risk-Taking Preferences." In The Analysis, Communication, and Perception of Risk. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2370-7_2.

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Conference papers on the topic "Risk preferences"

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Ou, Jianling, Yue Ma, Yating Wu, and Xiang Li. "Risk assessment of underground road accidents based on driver behavior preferences." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054679.

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Huynh, Dat, Oluwadare Badejo, Borja Hern�ndez, and Marianthi Ierapetritou. "Multi-Stakeholder Optimization for Identification of Relevant Life Cycle Assessment Endpoint Indicators." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.184670.

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Endpoint indicators provide a concise representation of environmental impacts by aggregating multiple midpoint indicators into a single value. Traditional endpoint weighting systems, however, are often limited by biases introduced through panel reviews and a lack of robustness in scientific process models. Additionally, they typically fail to account for the preferences of key stakeholders, including industry, government, and the public. This work addresses these limitations by developing an endpoint indicator that incorporates stakeholder preferences and minimizes dissatisfaction. A multi-sta
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Ge, Yingqiang, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, and Yongfeng Zhang. "Learning Personalized Risk Preferences for Recommendation." In SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval. ACM, 2020. http://dx.doi.org/10.1145/3397271.3401056.

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Demir, Güleser K., and Maria Gini. "Risk and user preferences in winner determination." In the 5th international conference. ACM Press, 2003. http://dx.doi.org/10.1145/948005.948025.

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Shi, Song, and Michael Naylor. "Risk preferences in response to earthquake risk: Property value and insurance." In 26th Annual European Real Estate Society Conference. European Real Estate Society, 2019. http://dx.doi.org/10.15396/eres2019_69.

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Zhang, Xiaoxiong, Kun Ding, Hui Zhang, and Guoquan Jiang. "Incorporating risk preferences into a defense-attack game." In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2020. http://dx.doi.org/10.1109/smc42975.2020.9282870.

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Wang, Limin, Ye He, and Chao Gao. "Experiments on Relationship between Risk Preferences and Returns." In 2011 Fourth International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2011. http://dx.doi.org/10.1109/bife.2011.62.

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Jihad, Muhammad Ridha, and Vera Diyanty. "Industrial Compensation Gap, Family Ownership, and Risk Preferences." In International Conference on Business and Management Research (ICBMR-17). Atlantis Press, 2017. http://dx.doi.org/10.2991/icbmr-17.2017.4.

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Gu, Qiaolun, and Tiegang Gao. "Contracts of reverse logistics with different risk preferences." In 2015 IEEE International Conference on Information and Automation (ICIA). IEEE, 2015. http://dx.doi.org/10.1109/icinfa.2015.7279635.

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Haider, Chowdhury Mohammad Rakin, Christopher Clifton, and Ming Yin. "Do Crowdsourced Fairness Preferences Correlate with Risk Perceptions?" In IUI '24: 29th International Conference on Intelligent User Interfaces. ACM, 2024. http://dx.doi.org/10.1145/3640543.3645209.

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Reports on the topic "Risk preferences"

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Andreoni, James, and Charles Sprenger. Risk Preferences Are Not Time Preferences: Discounted Expected Utility with a Disproportionate Preference for Certainty. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16348.

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Chetty, Raj, and Adam Szeidl. Consumption Commitments and Risk Preferences. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12467.

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Postlewaite, Andrew, Larry Samuelson, and Dan Silverman. Consumption, Commitmants and Preferences for Risk. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10527.

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Cohen, Alma, and Liran Einav. Estimating Risk Preferences from Deductible Choice. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/w11461.

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Quah, John, Ludovic Renou, and Matthew Polisson. Revealed preferences over risk and uncertainty. Institute for Fiscal Studies, 2015. http://dx.doi.org/10.1920/wp.ifs.2015.1525.

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Dew-Becker, Ian, and Stefano Giglio. Risk Preferences Implied by Synthetic Options. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31833.

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Ai, Hengjie, and Ravi Bansal. Risk Preferences and The Macro Announcement Premium. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22527.

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Okkar Mandalay, Okkar Mandalay. Gender Differences in Risk Preferences in Myanmar. Experiment, 2017. http://dx.doi.org/10.18258/9201.

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Briggs, Joseph, David Cesarini, Sean Chanwook Lee, Erik Lindqvist, and Robert Östling. Financial Windfalls, Portfolio Allocations, and Risk Preferences. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31864.

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Dulam, Rithika. Methods for elicitation of risk preferences and perceptions:. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.sp.1323.

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