IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v119y2015icp345-363.html
   My bibliography  Save this article

Learning, fatigue and preference formation in discrete choice experiments

Author

Listed:
  • Campbell, Danny
  • Boeri, Marco
  • Doherty, Edel
  • George Hutchinson, W.

Abstract

While the repeated nature of discrete choice experiments is advantageous from a sampling efficiency perspective, patterns of choice may differ across the tasks, due, in part, to learning and fatigue. Using probabilistic decision process models, we find in a field study that learning and fatigue behavior may only be exhibited by a small subset of respondents. Most respondents in our sample show preference and variance stability consistent with rational pre-existent and well formed preferences. Nearly all of the remainder exhibit both learning and fatigue effects. An important aspect of our approach is that it enables learning and fatigue effects to be explored, even though they were not envisaged during survey design or data collection.

Suggested Citation

  • Campbell, Danny & Boeri, Marco & Doherty, Edel & George Hutchinson, W., 2015. "Learning, fatigue and preference formation in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 345-363.
  • Handle: RePEc:eee:jeborg:v:119:y:2015:i:c:p:345-363
    DOI: 10.1016/j.jebo.2015.08.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268115002346
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2015.08.018?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. Scott J. Savage & Donald M. Waldman, 2008. "Learning and fatigue during choice experiments: a comparison of online and mail survey modes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 351-371.
    2. David C. Kingsley & Thomas C. Brown, 2010. "Preference Uncertainty, Preference Learning, and Paired Comparison Experiments," Land Economics, University of Wisconsin Press, vol. 86(3).
    3. Riccardo Scarpa & Danny Campbell & W. George Hutchinson, 2007. "Benefit Estimates for Landscape Improvements: Sequential Bayesian Design and Respondents’ Rationality in a Choice Experiment," Land Economics, University of Wisconsin Press, vol. 83(4), pages 617-634.
    4. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    5. Mikolaj Czajkowski & Marek Giergiczny & William H. Greene, 2014. "Learning and Fatigue Effects Revisited: Investigating the Effects of Accounting for Unobservable Preference and Scale Heterogeneity," Land Economics, University of Wisconsin Press, vol. 90(2), pages 324-351.
    6. Campbell, Danny & Hensher, David A. & Scarpa, Riccardo, 2012. "Cost thresholds, cut-offs and sensitivities in stated choice analysis: Identification and implications," Resource and Energy Economics, Elsevier, vol. 34(3), pages 396-411.
    7. Fosgerau, Mogens & Hess, Stephane, 2009. "A comparison of methods for representing random taste heterogeneity in discrete choice models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 1-25.
    8. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    9. Ben McNair & David Hensher & Jeff Bennett, 2012. "Modelling Heterogeneity in Response Behaviour Towards a Sequence of Discrete Choice Questions: A Probabilistic Decision Process Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(4), pages 599-616, April.
    10. Dan Ariely & George Loewenstein & Drazen Prelec, 2003. ""Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 73-106.
    11. Seda Erdem & Danny Campbell & Arne Risa Hole, 2015. "Accounting for Attribute‐Level Non‐Attendance in a Health Choice Experiment: Does it Matter?," Health Economics, John Wiley & Sons, Ltd., vol. 24(7), pages 773-789, July.
    12. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    13. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
    14. Wuyang Hu & Wiktor L. Adamowicz & Michele M. Veeman, 2006. "Labeling Context and Reference Point Effects in Models of Food Attribute Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1034-1049.
    15. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    16. William H. Greene & David A. Hensher, 2013. "Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1897-1902, May.
    17. Erdem, Seda & Campbell, Danny & Thompson, Carl, 2014. "Elimination and selection by aspects in health choice experiments: Prioritising health service innovations," Journal of Health Economics, Elsevier, vol. 38(C), pages 10-22.
    18. Swait, Joffre & Adamowicz, Wiktor, 2001. "Choice Environment, Market Complexity, and Consumer Behavior: A Theoretical and Empirical Approach for Incorporating Decision Complexity into Models of Consumer Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(2), pages 141-167, November.
    19. Danny Campbell & Seda Erdem, 2015. "Position Bias in Best-worst Scaling Surveys: A Case Study on Trust in Institutions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 526-545.
    20. Riccardo Scarpa & Timothy J. Gilbride & Danny Campbell & David A. Hensher, 2009. "Modelling attribute non-attendance in choice experiments for rural landscape valuation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(2), pages 151-174, June.
    21. David Hensher & Andrew Collins & William Greene, 2013. "Accounting for attribute non-attendance and common-metric aggregation in a probabilistic decision process mixed multinomial logit model: a warning on potential confounding," Transportation, Springer, vol. 40(5), pages 1003-1020, September.
    22. Day, Brett & Pinto Prades, Jose-Luis, 2010. "Ordering anomalies in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 271-285, May.
    23. DeShazo, J. R. & Fermo, German, 2002. "Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 123-143, July.
    24. Jacinto Braga & Chris Starmer, 2005. "Preference Anomalies, Preference Elicitation and the Discovered Preference Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(1), pages 55-89, September.
    25. Bateman, Ian J. & Burgess, Diane & Hutchinson, W. George & Matthews, David I., 2008. "Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 127-141, March.
    26. Charles R. Plott & Kathryn Zeiler, 2005. "The Willingness to Pay–Willingness to Accept Gap, the "Endowment Effect," Subject Misconceptions, and Experimental Procedures for Eliciting Valuations," American Economic Review, American Economic Association, vol. 95(3), pages 530-545, June.
    27. Thomas P. Holmes & Kevin J. Boyle, 2005. "Dynamic Learning and Context-Dependence in Sequential, Attribute-Based, Stated-Preference Valuation Questions," Land Economics, University of Wisconsin Press, vol. 81(1).
    28. Danny Campbell & David A. Hensher & Riccardo Scarpa, 2011. "Non-attendance to attributes in environmental choice analysis: a latent class specification," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(8), pages 1061-1076, December.
    29. Roy Brouwer & Thijs Dekker & John Rolfe & Jill Windle, 2010. "Choice Certainty and Consistency in Repeated Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(1), pages 93-109, May.
    30. 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.
    31. Stephane Hess & John Rose, 2012. "Can scale and coefficient heterogeneity be separated in random coefficients models?," Transportation, Springer, vol. 39(6), pages 1225-1239, November.
    32. Hess, Stephane & Hensher, David A. & Daly, Andrew, 2012. "Not bored yet – Revisiting respondent fatigue in stated choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 626-644.
    33. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    34. Hess, Stephane & Bierlaire, Michel & Polak, John W., 2005. "Estimation of value of travel-time savings using mixed logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 221-236.
    35. Campbell, Danny & Hensher, David A. & Scarpa, Riccardo, 2014. "Bounding WTP distributions to reflect the ‘actual’ consideration set," Journal of choice modelling, Elsevier, vol. 11(C), pages 4-15.
    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. Lang, Ghislaine & Farsi, Mehdi & Lanz, Bruno & Weber, Sylvain, 2021. "Energy efficiency and heating technology investments: Manipulating financial information in a discrete choice experiment," Resource and Energy Economics, Elsevier, vol. 64(C).
    2. Jeffrey E. Harris & Mariana Gerstenblüth & Patricia Triunfo, 2018. "Smokers’ Rational Lexicographic Preferences for Cigarette Package Warnings: A Discrete Choice Experiment with Eye Tracking," Documentos de Trabajo (working papers) 0218, Department of Economics - dECON.
    3. Lien Nguyen & Hanna Jokimäki & Ismo Linnosmaa & Eirini-Christina Saloniki & Laurie Batchelder & Juliette Malley & Hui Lu & Peter Burge & Birgit Trukeschitz & Julien Forder, 2022. "Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(3), pages 357-374, April.
    4. Erlend Dancke Sandorf & Danny Campbell, 2019. "Accommodating satisficing behaviour in stated choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(1), pages 133-162.
    5. Seda Erdem & Danny Campbell, 2017. "Preferences for public involvement in health service decisions: a comparison between best-worst scaling and trio-wise stated preference elicitation techniques," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1107-1123, December.
    6. S. Cerreia-Vioglio & F. Maccheroni & M. Marinacci & A. Rustichini, 2017. "Multinomial logit processes and preference discovery: inside and outside the black box," Working Papers 615, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    7. Shr, Yau-Huo (Jimmy) & Ready, Richard & Orland, Brian & Echols, Stuart, 2019. "How Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," Ecological Economics, Elsevier, vol. 156(C), pages 375-386.
    8. Sandorf, Erlend Dancke & Persson, Lars & Broberg, Thomas, 2020. "Using an integrated choice and latent variable model to understand the impact of “professional” respondents in a stated preference survey," Resource and Energy Economics, Elsevier, vol. 61(C).
    9. Benedikt Maciosek & Mehdi Farsi & Sylvain Weber & Martin Jakob, 2022. "Analysis of investment decisions based on homeowners' stated preferences: Policy measures, smart technologies and financing options," IRENE Working Papers 22-06, IRENE Institute of Economic Research.
    10. Fabio Boncinelli & Andrea Dominici & Francesca Gerini & Enrico Marone, 2021. "Insights into organic wine consumption: behaviour, segmentation and attribute non-attendance," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-16, December.
    11. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    12. Jiang, Qi & Penn, Jerrod & Hu, Wuyang, 2022. "Learning and fatigue effects in real discrete choice experiments," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322516, Agricultural and Applied Economics Association.
    13. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "A multinomial and rank-ordered logit model with inter- and intra-individual heteroscedasticity," Tinbergen Institute Discussion Papers 20-069/III, Tinbergen Institute.
    14. Ku, Yu-Cheng & Wu, John, 2018. "Measuring respondent uncertainty in discrete choice experiments via utility suppression," Journal of choice modelling, Elsevier, vol. 27(C), pages 1-18.
    15. Grilli, Gianluca & Notaro, Sandra & Campbell, Danny, 2018. "Including Value Orientations in Choice Models to Estimate Benefits of Wildlife Management Policies," Ecological Economics, Elsevier, vol. 151(C), pages 70-81.
    16. Van Asselt, Joanna & Nian, Yefan & Soh, Moonwon & Morgan, Stephen & Gao, Zhifeng, 2022. "Do plastic warning labels reduce consumers' willingness to pay for plastic egg packaging? – Evidence from a choice experiment," Ecological Economics, Elsevier, vol. 198(C).
    17. Danny Campbell & Morten Raun Mørkbak & Søren Bøye Olsen, 2017. "Response time in online stated choice experiments: the non-triviality of identifying fast and slow respondents," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(1), pages 17-35, January.
    18. Campbell, Danny & Mørkbak, Morten Raun & Olsen, Søren Bøye, 2018. "The link between response time and preference, variance and processing heterogeneity in stated choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 18-34.
    19. Danley, Brian & Sandorf, Erlend Dancke & Campbell, Danny, 2021. "Putting your best fish forward: Investigating distance decay and relative preferences for fish conservation," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    20. Tagliafierro, C. & Boeri, M. & Longo, A. & Hutchinson, W.G., 2016. "Stated preference methods and landscape ecology indicators: An example of transdisciplinarity in landscape economic valuation," Ecological Economics, Elsevier, vol. 127(C), pages 11-22.
    21. Mesfin G. Genie & Nicolas Krucien & Mandy Ryan, 2021. "Weighting or aggregating? Investigating information processing in multi‐attribute choices," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1291-1305, June.
    22. Edward J. D. Webb & Paul Kind & David Meads & Adam Martin, 2021. "Does a health crisis change how we value health?," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2547-2560, September.
    23. Oehlmann, Malte & Meyerhoff, Jürgen & Mariel, Petr & Weller, Priska, 2017. "Uncovering context-induced status quo effects in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 59-73.
    24. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).
    25. Krucien, Nicolas & Heidenreich, Sebastian & Gafni, Amiram & Pelletier-Fleury, Nathalie, 2020. "Measuring public preferences in France for potential consequences stemming from re-allocation of healthcare resources," Social Science & Medicine, Elsevier, vol. 246(C).

    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. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    2. Gabriela D. Oliveira & Luis C. Dias, 2020. "The potential learning effect of a MCDA approach on consumer preferences for alternative fuel vehicles," Annals of Operations Research, Springer, vol. 293(2), pages 767-787, October.
    3. Tomasz Gajderowicz & Gabriela Grotkowska, 2019. "Polarization of Tastes: Stated Preference Stability in Sequential Discrete Choices," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 70-87.
    4. Mikołaj Czajkowski & Marek Giergiczny & William H. Greene, 2012. "Learning and Fatigue Effects Revisited. The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments," Working Papers 2012-08, Faculty of Economic Sciences, University of Warsaw.
    5. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    6. Lauren Chenarides & Carola Grebitus & Jayson L Lusk & Iryna Printezis, 2022. "A calibrated choice experiment method," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(5), pages 971-1004.
    7. Thijs Dekker & Paul Koster & Roy Brouwer, 2014. "Changing with the Tide: Semiparametric Estimation of Preference Dynamics," Land Economics, University of Wisconsin Press, vol. 90(4), pages 717-745.
    8. Mikolaj Czajkowski & Marek Giergiczny & William H. Greene, 2014. "Learning and Fatigue Effects Revisited: Investigating the Effects of Accounting for Unobservable Preference and Scale Heterogeneity," Land Economics, University of Wisconsin Press, vol. 90(2), pages 324-351.
    9. Doherty, Edel & Campbell, Danny & Hynes, Stephen, 2012. "Exploring cost heterogeneity in recreational demand," Working Papers 148832, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    10. Erlend Dancke Sandorf & Danny Campbell, 2019. "Accommodating satisficing behaviour in stated choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(1), pages 133-162.
    11. Logar, Ivana & Brouwer, Roy & Campbell, Danny, 2020. "Does attribute order influence attribute-information processing in discrete choice experiments?," Resource and Energy Economics, Elsevier, vol. 60(C).
    12. Daniel R. Petrolia & Matthew G. Interis & Joonghyun Hwang, 2018. "Single-Choice, Repeated-Choice, and Best-Worst Scaling Elicitation Formats: Do Results Differ and by How Much?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 365-393, February.
    13. Mikołaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2016. "Controlling for the Effects of Information in a Public Goods Discrete Choice Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(3), pages 523-544, March.
    14. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    15. Mara Thiene & Riccardo Scarpa & Jordan Louviere, 2015. "Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 637-656, November.
    16. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    17. Enni Ruokamo & Mikołaj Czajkowski & Nick Hanley & Artti Juutinen & Rauli Svento, 2016. "Linking perceived choice complexity with scale heterogeneity in discrete choice experiments: home heating in Finland," Working Papers 2016-30, Faculty of Economic Sciences, University of Warsaw.
    18. Meyerhoff, Jürgen & Glenk, Klaus, 2015. "Learning how to choose—effects of instructional choice sets in discrete choice experiments," Resource and Energy Economics, Elsevier, vol. 41(C), pages 122-142.
    19. repec:sss:wpaper:201404 is not listed on IDEAS
    20. Mesfin G. Genie & Nicolas Krucien & Mandy Ryan, 2021. "Weighting or aggregating? Investigating information processing in multi‐attribute choices," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1291-1305, June.
    21. Edel Doherty & Danny Campbell & Stephen Hynes, 2013. "Models of Site-choice for Walks in Rural Ireland: Exploring Cost Heterogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 446-466, June.

    More about this item

    Keywords

    Discrete choice experiments; Learning and fatigue behavior; Preference formation; Probabilistic decision process model; Preference and variance consistency;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    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:eee:jeborg:v:119:y:2015:i:c:p:345-363. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.