IDEAS home Printed from https://ideas.repec.org/p/ags/aaea22/322234.html
   My bibliography  Save this paper

Economic Value of Restaurant Safety Measures and Propensity to Dine during the COVID-19 Pandemic

Author

Listed:
  • Landry, Craig
  • Remar, Daniel
  • Twinkle, Roy

Abstract

No abstract is available for this item.

Suggested Citation

  • Landry, Craig & Remar, Daniel & Twinkle, Roy, 2022. "Economic Value of Restaurant Safety Measures and Propensity to Dine during the COVID-19 Pandemic," 2024 Annual Meeting, July 28-30, New Orleans, LA 322234, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea22:322234
    DOI: 10.22004/ag.econ.322234
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/322234/files/22850.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.322234?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Timothy K.M. Beatty & Benjamin Senauer, 2013. "The New Normal? U.S. Food Expenditure Patterns and the Changing Structure of Food Retailing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 318-324.
    2. Sándor, Zsolt & Train, Kenneth, 2004. "Quasi-random simulation of discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 38(4), pages 313-327, May.
    3. Bracha, Anat & Brown, Donald J., 2012. "Affective decision making: A theory of optimism bias," Games and Economic Behavior, Elsevier, vol. 75(1), pages 67-80.
    4. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    5. English, Eric & von Haefen, Roger H. & Herriges, Joseph & Leggett, Christopher & Lupi, Frank & McConnell, Kenneth & Welsh, Michael & Domanski, Adam & Meade, Norman, 2018. "Estimating the value of lost recreation days from the Deepwater Horizon oil spill," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 26-45.
    6. Gregory A. Baker & Peter J. Crosbie, 1994. "Consumer preferences for food safety attributes: A market segment approach," Agribusiness, John Wiley & Sons, Ltd., vol. 10(4), pages 319-324.
    7. Roheim, Cathy A. & Kline, Jeffrey D. & Anderson, Joan Gray, 1996. "Seafood Safety Perceptions And Their Effects On Anticipated Consumption Under Varying Information Treatments," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(01), pages 1-10, April.
    8. Patrick J. Byrne & J. Richard Bacon & Ulrich C. Toensmeyer, 1994. "Pesticide residue concerns and shopping location likelihood," Agribusiness, John Wiley & Sons, Ltd., vol. 10(6), pages 491-501.
    9. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    10. Bengt Muthén & Kerby Shedden, 1999. "Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm," Biometrics, The International Biometric Society, vol. 55(2), pages 463-469, June.
    11. Craig Landry & Dylan Turner, 2020. "Risk Perceptions and Flood Insurance: Insights from Homeowners on the Georgia Coast," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    12. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    13. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    14. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    2. repec:use:tkiwps:3232 is not listed on IDEAS
    3. Mohamed Chaffai & Patrick Plane, 2017. "Firm Productivity, Technology and Export Status, What Can We Learn from Egyptian Industries?," Working Papers 1134, Economic Research Forum, revised 09 Jun 2017.
    4. Nicholas Economides & Katja Seim & V. Brian Viard, 2008. "Quantifying the benefits of entry into local phone service," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 699-730, September.
    5. repec:cdl:agrebk:qt9vh3x180 is not listed on IDEAS
    6. Walter, Matthias & Cullmann, Astrid & von Hirschhausen, Christian & Wand, Robert & Zschille, Michael, 2009. "Quo vadis efficiency analysis of water distribution? A comparative literature review," Utilities Policy, Elsevier, vol. 17(3-4), pages 225-232, September.
    7. Williams, Jonathan, 2012. "Efficiency and market power in Latin American banking," Journal of Financial Stability, Elsevier, vol. 8(4), pages 263-276.
    8. Billé, AG & Salvioni, C. & Benedetti, R., 2015. "Spatial Heterogeneity In Production Functions Models," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212662, European Association of Agricultural Economists.
    9. Batarce, Marco & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Valuing crowding in public transport: Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 358-378.
    10. Ioannis Skevas, 2019. "A Hierarchical Stochastic Frontier Model for Efficiency Measurement Under Technology Heterogeneity," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 513-524, September.
    11. Viauroux, Christelle, 2007. "Structural estimation of congestion costs," European Economic Review, Elsevier, vol. 51(1), pages 1-25, January.
    12. Abid, Anis Bou & Drine, Imed, 2011. "Efficiency frontier and matching process on the labour market: Evidence from Tunisia," Economic Modelling, Elsevier, vol. 28(3), pages 1131-1139, May.
    13. Drine, Imed & Nabi, M. Sami, 2010. "Public external debt, informality and production efficiency in developing countries," Economic Modelling, Elsevier, vol. 27(2), pages 487-495, March.
    14. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land fragmentation, market integration and farm efficiency: empirical evidence from Kosovo," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134968, Agricultural Economics Society.
    15. Ahimbisibwe, Vianny & Zhunusova, Eliza & Kassa, Habtemariam & Günter, Sven, 2024. "Technical efficiency drivers of farmer-led restoration strategies, and how substantial is the unrealised potential for farm output?," Agricultural Systems, Elsevier, vol. 213(C).
    16. Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
    17. Jean‐Joseph Minviel & Marc Benoit & Laure Latruffe, 2025. "Environmental and technical efficiency of French suckler sheep farms under pollution‐generating technologies: A multi‐equation stochastic frontier approach using info‐metrics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 73(2), pages 155-180, June.
    18. Scott, Anthony, 2001. "Eliciting GPs' preferences for pecuniary and non-pecuniary job characteristics," Journal of Health Economics, Elsevier, vol. 20(3), pages 329-347, May.
    19. Graziano Abrate & Fabrizio Erbetta & Giovanni Fraquelli & Davide Vannoni, 2015. "The cost of corruption in the Italian solid waste industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(2), pages 439-465.
    20. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    21. Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.
    22. Xiangfei Xin & Yi Zhang & Jimin Wang & John Alexander Nuetah, 2016. "Effects of Farm Size on Technical Efficiency in China's Broiler Sector: A Stochastic Meta-Frontier Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 493-516, September.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea22:322234. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.