IDEAS home Printed from https://ideas.repec.org/a/bla/jageco/v58y2007i3p467-483.html

Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models

Author

Listed:
  • Danny Campbell

Abstract

This paper reports the findings from a discrete‐choice experiment designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness‐to‐pay values for every individual in the sample. This departs from customary approaches in which the willingness‐to‐pay estimates are normally expressed as measures of central tendency of an a priori distribution. Random‐effects models for panel data are subsequently used to identify the determinants of the individual‐specific willingness‐to‐pay estimates. In comparison with the standard methods used to incorporate individual‐specific variables into the analysis of discrete‐choice experiments, the analytical approach outlined in this paper is shown to add considerable explanatory power to the welfare estimates.

Suggested Citation

  • Danny Campbell, 2007. "Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 467-483, September.
    • Handle: RePEc:bla:jageco:v:58:y:2007:i:3:p:467-483
    DOI: 10.1111/j.1477-9552.2007.00117.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1477-9552.2007.00117.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1477-9552.2007.00117.x?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. Stephane Hess & John Polak, 2003. "An alternative method to the scrambled Halton sequence for removing correlation between standard Halton sequences in high dimensions," ERSA conference papers ersa03p406, European Regional Science Association.
    2. Nerlove,Marc, 2005. "Essays in Panel Data Econometrics," Cambridge Books, Cambridge University Press, number 9780521022460, Enero-Abr.
    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. Maria C. Lo Bue, 2024. "Drivers of changes in child nutritional conditions: A panel data‐based study on Indonesian households, 1997–2014," Review of Development Economics, Wiley Blackwell, vol. 28(2), pages 741-776, May.
    2. Kroes, James R. & Manikas, Andrew S. & Gattiker, Thomas F., 2018. "Operational leanness and retail firm performance since 1980," International Journal of Production Economics, Elsevier, vol. 197(C), pages 262-274.
    3. H Ingham & M Ingham & J Herbst, 2008. "Why do Local Unemployment Rates in Poland Vary so Much?," Working Papers 594943, Lancaster University Management School, Economics Department.
    4. Roula Inglesi-Lotz & Luis Diez del Corral Morales, 2017. "The Effect of Education on a Country's Energy Consumption: Evidence from Developed and Developing Countries," Working Papers 201733, University of Pretoria, Department of Economics.
    5. J Herbst & H Ingham & M Ingham, 2005. "Local unemployment in Poland," Working Papers 566803, Lancaster University Management School, Economics Department.
    6. Agoraki, Maria-Eleni K. & Delis, Manthos D. & Pasiouras, Fotios, 2011. "Regulations, competition and bank risk-taking in transition countries," Journal of Financial Stability, Elsevier, vol. 7(1), pages 38-48, January.
    7. Delis, Manthos D. & Kouretas, Georgios P., 2011. "Interest rates and bank risk-taking," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 840-855, April.
    8. Silvia Blasi & Lorenzo & Silvia Rita Sedita, 2019. "Eco-friendliness and fashion perceptual attributes of fashion brands: an analysis of consumers’ perceptions based on Twitter data," "Marco Fanno" Working Papers 0237, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Jarko Fidrmuc & Roman Horváth & Eva Horváthová, 2010. "Corporate Interest Rates and the Financial Accelerator in the Czech Republic," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 41-54, January.
    10. Stephane Hess & John W. Polak, 2004. "An analysis of parking behaviour using discrete choice models calibrated on SP datasets," ERSA conference papers ersa04p60, European Regional Science Association.
    11. Kézdi, Gábor & Mátyás, László & Balázsi, László & Divényi, János Károly, 2014. "A közgazdasági adatforradalom és a panelökonometria [The revolution in economic data and panel econometrics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1319-1340.
    12. Lorenzo Cappellari & Stephen P. Jenkins, 2006. "Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation," Stata Journal, StataCorp LLC, vol. 6(2), pages 156-189, June.
    13. Dsouza, Alwin & Mishra, Ashok K. & Tripathi, Amarnath, "undated". "Improving Diet Quality through Off-Farm Work: Empirical Evidence from India," 2018 Annual Meeting, August 5-7, Washington, D.C. 274494, Agricultural and Applied Economics Association.
    14. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    15. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Using Discrete Choice Experiments to Derive Individual-Specific WTP Estimates for Landscape Improvements under Agri-Environmental Schemes: Evidence from the Rural Environment Protection Scheme in Ireland," Sustainability Indicators and Environmental Valuation Working Papers 12220, Fondazione Eni Enrico Mattei (FEEM).
    16. Keskinsoy, Bilal, 2017. "Lucas Paradox in the Short-Run," MPRA Paper 78783, University Library of Munich, Germany.
    17. repec:lan:wpaper:4734 is not listed on IDEAS
    18. Danny Campbell & W George Hutchinson & Riccardo Scarpa, 2009. "Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements," Environment and Planning A, , vol. 41(1), pages 97-111, January.
    19. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Sustainability Indicators and Environmental Valuation Working Papers 12224, Fondazione Eni Enrico Mattei (FEEM).
    20. Raja Chakir & Alain Bousquet & Norbert Ladoux, 2004. "Modeling corner solutions with panel data: Application to the industrial energy demand in France," Empirical Economics, Springer, vol. 29(1), pages 193-208, January.
    21. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.

    More about this item

    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:bla:jageco:v:58:y:2007:i:3:p:467-483. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0021-857X .

    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.