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Bargaining powers of buyers and sellers on the online diamond market: a double perspective non-parametric analysis

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  • François-Charles Wolff

    (Université de Nantes
    INED)

Abstract

This paper investigates the relative efficiency of buyers and sellers on the online diamond market using a non-parametric double-frontier setting. Our data consists in a sample of more than 100,000 round cut diamonds offered for sale online. For a given quality defined by a combination of color and clarity grades, we turn to the free disposal hull model to estimate the sets of efficient diamonds respectively for buyers and sellers in the price-weight space. We find that the average bargaining power of buyers is lower than that of sellers. Regression estimates show that the relative efficiency of buyers is reduced for heavier diamonds and when there are many diamonds of the same quality offered for sale.

Suggested Citation

  • François-Charles Wolff, 2016. "Bargaining powers of buyers and sellers on the online diamond market: a double perspective non-parametric analysis," Annals of Operations Research, Springer, vol. 244(2), pages 697-718, September.
    • Handle: RePEc:spr:annopr:v:244:y:2016:i:2:d:10.1007_s10479-016-2160-1
    DOI: 10.1007/s10479-016-2160-1
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    1. Keane, Michael P., 2010. "Structural vs. atheoretic approaches to econometrics," Journal of Econometrics, Elsevier, vol. 156(1), pages 3-20, May.
    2. Mouchart, Michel & Vandresse, Marie, 2010. "A double-frontier approach for measuring market imperfection," LIDAM Reprints ISBA 2010041, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Nicolas Vaillant & François-Charles Wolff, 2013. "Understanding Diamond Pricing Using Unconditional Quantile Regressions," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(11), pages 1540-1561.
    4. Lidia Angulo-Meza & Marcos Lins, 2002. "Review of Methods for Increasing Discrimination in Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 116(1), pages 225-242, October.
    5. Ruben Chumpitaz & Kristiaan Kerstens & Nicholas Paparoidamis & Matthias Staat, 2010. "Hedonic price function estimation in economics and marketing: revisiting Lancaster’s issue of “noncombinable” goods," Annals of Operations Research, Springer, vol. 173(1), pages 145-161, January.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. M. J. Farrell, 1959. "The Convexity Assumption in the Theory of Competitive Markets," Journal of Political Economy, University of Chicago Press, vol. 67(4), pages 377-377.
    8. Angel S. Fernandez-Castro & Peter C. Smith, 2002. "Lancaster's characteristics approach revisited: product selection using non-parametric methods," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 83-91.
    9. Wolff, François-Charles, 2014. "Lift ticket prices and quality in French ski resorts: Insights from a non-parametric analysis," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1155-1164.
    10. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 521-539, December.
    11. Glenn Ellison & Sara Fisher Ellison, 2005. "Lessons About Markets from the Internet," Journal of Economic Perspectives, American Economic Association, vol. 19(2), pages 139-158, Spring.
    12. Ben Lakhdar, Christian & Leleu, Hervé & Vaillant, Nicolas Gérard & Wolff, François-Charles, 2013. "Efficiency of purchasing and selling agents in markets with quality uncertainty: The case of illicit drug transactions," European Journal of Operational Research, Elsevier, vol. 226(3), pages 646-657.
    13. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    14. Baylis, Kathy & Perloff, Jeffrey M., 2001. "Price Dispersion on the Internet: Good Firms and Bad Firms," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2t0770rn, Department of Agricultural & Resource Economics, UC Berkeley.
    15. Michel Mouchart & Marie Vandresse, 2007. "Bargaining powers and market segmentation in freight transport," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1295-1313.
    16. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    17. Harald Tauchmann, 2012. "Partial frontier efficiency analysis," Stata Journal, StataCorp LP, vol. 12(3), pages 461-478, September.
    18. Michael R. Baye & John Morgan & Patrick Scholten, 2004. "Price Dispersion In The Small And In The Large: Evidence From An Internet Price Comparison Site," Journal of Industrial Economics, Wiley Blackwell, vol. 52(4), pages 463-496, December.
    19. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    20. François-Charles Wolff, 2014. "Lift ticket prices and quality in French ski resorts: Insights from a non-parametric analysis," Working Papers hal-00952999, HAL.
    21. Maarten L. Buis, 2010. "Analyzing proportions," German Stata Users' Group Meetings 2010 04, Stata Users Group.
    22. Jeong-Dong Lee & Seogwon Hwang & Tai-Yoo Kim, 2005. "The Measurement of Consumption Efficiency Considering the Discrete Choice of Consumers," Journal of Productivity Analysis, Springer, vol. 23(1), pages 65-83, January.
    23. Michel Mouchart & Marie Vandresse, 2010. "A double-frontier approach for measuring market imperfection," Annals of Operations Research, Springer, vol. 173(1), pages 137-144, January.
    24. Lee, Inkoo, 2010. "Geographic price dispersion in retail markets: Evidence from micro-data," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1169-1177, December.
    25. Rajiv D. Banker & Richard C. Morey, 1986. "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, INFORMS, vol. 32(12), pages 1613-1627, December.
    26. Baylis, Kathy & Perloff, Jeffrey M., 2001. "Price Dispersion on the Internet: Good Firms and Bad Firms," Institute for Research on Labor and Employment, Working Paper Series qt2t0770rn, Institute of Industrial Relations, UC Berkeley.
    27. Lawrence Hadley & John Ruggiero, 2006. "Final-offer arbitration in major league baseball: A nonparametric analysis," Annals of Operations Research, Springer, vol. 145(1), pages 201-209, July.
    28. Frank Scott & Aaron Yelowitz, 2010. "Pricing Anomalies In The Market For Diamonds: Evidence Of Conformist Behavior," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 353-368, April.
    29. David A. Jaeger & Karl Storchmann, 2011. "Wine Retail Price Dispersion in the United States: Searching for Expensive Wines?," American Economic Review, American Economic Association, vol. 101(3), pages 136-141, May.
    30. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    31. Nicolas Vaillant & François-Charles Wolff, 2013. "Understanding Diamond Pricing Using Unconditional Quantile Regressions," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(11), pages 1540-1561, November.
    32. Marcos Lins & Luiz Novaes & Luiz Legey, 2005. "Real Estate Appraisal: A Double Perspective Data Envelopment Analysis Approach," Annals of Operations Research, Springer, vol. 138(1), pages 79-96, September.
    33. Michel Mouchart & Federica Russo & Guillaume Wunsch, 2010. "Inferrig Causal Relations by Modelling Structure," Statistica, Department of Statistics, University of Bologna, vol. 70(4), pages 411-432.
    34. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    35. Fran 篩s-Charles Wolff, 2015. "Does price dispersion increase with quality? Evidence from the online diamond market," Applied Economics, Taylor & Francis Journals, vol. 47(55), pages 5996-6009, November.
    36. Kathy Baylis & Jeffrey Perloff, 2002. "Price Dispersion on the Internet: Good Firms and Bad Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 21(3), pages 305-324, November.
    37. repec:bla:jindec:v:49:y:2001:i:4:p:521-39 is not listed on IDEAS
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    2. Kerstens, Kristiaan & Azadi, Majid & Kazemi Matin, Reza & Farzipoor Saen, Reza, 2024. "Double hedonic price-characteristics frontier estimation for IoT service providers in the industry 5.0 era: A nonconvex perspective accommodating ratios," European Journal of Operational Research, Elsevier, vol. 319(1), pages 222-233.

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