IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v44y2013i2p739-760.html
   My bibliography  Save this article

Using spectral analysis and multinomial logit regression to explain households’ choice patterns

Author

Listed:
  • Krishna Paudel
  • Mahesh Pandit
  • Michael Dunn

Abstract

Many methods are available to analyze rank-ordered data. We used spectral analysis to identify the most preferred option of Formosan subterranean termites (FSTs) control as ranked by Louisiana homeowners. Respondents were asked to rank four termite control methods from the most preferred option to the least preferred option. Spectral analysis of complete ranked data indicated that the most preferred FST control choice is a relatively cheap ($0.13/square foot) option of a liquid treatment. Similarly, analysis indicated that liquid and bait treatments are the two most desired control choices. Multinomial logit analysis indicated that survey location, household pre-tax income, and knowledge of FSTs determined Louisiana homeowners’ ranking pattern choices. Copyright Springer-Verlag 2013

Suggested Citation

  • Krishna Paudel & Mahesh Pandit & Michael Dunn, 2013. "Using spectral analysis and multinomial logit regression to explain households’ choice patterns," Empirical Economics, Springer, vol. 44(2), pages 739-760, April.
    • Handle: RePEc:spr:empeco:v:44:y:2013:i:2:p:739-760
    DOI: 10.1007/s00181-012-0558-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-012-0558-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00181-012-0558-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Johnston, Robert J. & Roheim, Cathy A., 2006. "A Battle of Taste and Environmental Convictions for Ecolabeled Seafood: A Contingent Ranking Experiment," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-18, August.
    2. Lee, Paul H. & Yu, Philip L.H., 2010. "Distance-based tree models for ranking data," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1672-1682, June.
    3. Mark Eiswerth & Wayne Johnson, 2002. "Managing Nonindigenous Invasive Species: Insights from Dynamic Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(3), pages 319-342, November.
    4. Pimentel, David & Zuniga, Rodolfo & Morrison, Doug, 2005. "Update on the environmental and economic costs associated with alien-invasive species in the United States," Ecological Economics, Elsevier, vol. 52(3), pages 273-288, February.
    5. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, January.
    6. Linda Fernandez, 2007. "Maritime trade and migratory species management to protect biodiversity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(2), pages 165-188, October.
    7. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. S.T, Pavan Kumar & Lahiri, Biswajit, 2023. "Conditional selection of multifactor evidence for the levels of anaemia among women of reproductive age group," Evaluation and Program Planning, Elsevier, vol. 100(C).
    2. Pandit, Mahesh & Paudel, Krishna P. & Hinson, Roger A., 2013. "Market Channel Analysis of Ornamental Plants using Clustering Procedures," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143067, Southern Agricultural Economics Association.
    3. Ghimire, Ramesh & Green, Gary T. & Paudel, Krishna P. & Poudyal, Neelam C. & Cordell, H. Ken, 2017. "Visitors' Preferences for Freshwater Amenity Characteristics: Implications from the U.S. Household Survey," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(1), pages 1-24, January.
    4. Pandit, Mahesh & Paudel, Krishna P. & Hinson, Roger A., 2013. "Irrigation Water Sources And Irrigation Application Methods Used By U.S. Nursery Producers," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143058, Southern Agricultural Economics Association.
    5. Khalid Waleed & Faisal Mehmood Mirza, 2023. "Examining fuel choice patterns through household energy transition index: an alternative to traditional energy ladder and stacking models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6449-6501, July.

    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. Hyytiäinen, Kari & Lehtiniemi, Maiju & Niemi, Jarkko K. & Tikka, Kimmo, 2013. "An optimization framework for addressing aquatic invasive species," Ecological Economics, Elsevier, vol. 91(C), pages 69-79.
    2. Charles Perrings, 2016. "Options for managing the infectious animal and plant disease risks of international trade," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 27-35, February.
    3. Dalmazzone, Silvana & Giaccaria, Sergio, 2014. "Economic drivers of biological invasions: A worldwide, bio-geographic analysis," Ecological Economics, Elsevier, vol. 105(C), pages 154-165.
    4. Touza, Julia & Pérez-Alonso, Alicia & Chas-Amil, María L. & Dehnen-Schmutz, Katharina, 2014. "Explaining the rank order of invasive plants by stakeholder groups," Ecological Economics, Elsevier, vol. 105(C), pages 330-341.
    5. Melstrom, Richard T., 2014. "Managing apparent competition between the feral pigs and native foxes of Santa Cruz Island," Ecological Economics, Elsevier, vol. 107(C), pages 157-162.
    6. Olson, Lars J., 2006. "The Economics of Terrestrial Invasive Species: A Review of the Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(1), pages 1-17, April.
    7. Ghimire, Ramesh & Green, Gary T. & Paudel, Krishna P. & Poudyal, Neelam C. & Cordell, H. Ken, 2017. "Visitors' Preferences for Freshwater Amenity Characteristics: Implications from the U.S. Household Survey," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(1), pages 1-24, January.
    8. Giaccaria Sergio & Dalmazzone Silvana, 2010. "Socio-economic drivers of biological invasions. A worldwide, bio-geographical analysis of trade flows and local environmental quality," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201003, University of Turin.
    9. Frésard, Marjolaine & Ropars-Collet, Carole, 2014. "Sustainable harvest of a native species and control of an invasive species: A bioeconomic model of a commercial fishery invaded by a space competitor," Ecological Economics, Elsevier, vol. 106(C), pages 1-11.
    10. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    11. Ceddia, M.G. & Heikkil, J. & Peltola, J., 2009. "Managing invasive alien species with professional and hobby farmers: Insights from ecological-economic modelling," Ecological Economics, Elsevier, vol. 68(5), pages 1366-1374, March.
    12. Haight, Robert G. & Polasky, Stephen, 2010. "Optimal control of an invasive species with imperfect information about the level of infestation," Resource and Energy Economics, Elsevier, vol. 32(4), pages 519-533, November.
    13. André de Palma & Karim Kilani, 2015. "Ordered choice probabilities in random utility models," Working Papers hal-01130603, HAL.
    14. Koji Kotani & Makoto Kakinaka & Hiroyuki Matsuda, 2007. "Programs on Invasive Species Management under Growth Uncertainty and Measurement Error," Working Papers EMS_2007_01, Research Institute, International University of Japan.
    15. Alexandros Dimitropoulos & Piet Rietveld & Jos N. van Ommeren, 2011. "Consumer Valuation of Driving Range: A Meta-Analysis," Tinbergen Institute Discussion Papers 11-133/3, Tinbergen Institute.
    16. Hallstein, Eric & Villas-Boas, Sofia Berto, 2009. "Are Consumers Color Blind?: an empirical investigation of a traffic light advisory for sustainable seafood," CUDARE Working Papers 120535, University of California, Berkeley, Department of Agricultural and Resource Economics.
    17. Anderson, Soren T. & Laxminarayan, Ramanan & Salant, Stephen W., 2012. "Diversify or focus? Spending to combat infectious diseases when budgets are tight," Journal of Health Economics, Elsevier, vol. 31(4), pages 658-675.
    18. William H. Greene & Mark N. Harris & Rachel J. Knott & Nigel Rice, 2021. "Specification and testing of hierarchical ordered response models with anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 31-64, January.
    19. YingHua He & Thierry Magnac, 2022. "Application Costs and Congestion in Matching Markets," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2918-2950.
    20. Ceddia, M.G. & Bardsley, N.O. & Goodwin, R. & Holloway, G.J. & Nocella, G. & Stasi, A., 2013. "A complex system perspective on the emergence and spread of infectious diseases: Integrating economic and ecological aspects," Ecological Economics, Elsevier, vol. 90(C), pages 124-131.

    More about this item

    Keywords

    Complete ranked data; Formosan subterranean termite; Invasive species; Multinomial logit; Rank-ordered data; Spectral analysis; C65;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

    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:spr:empeco:v:44:y:2013:i:2:p:739-760. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.