What’s in a Name? Artist Reputation and Willingness to Pay for Paintings
Main Article Content
Abstract
Often buyers are unable to judge the quality of a painting, and the artist’s reputation determines the price they are willing to pay. This study was designed to validate the hypothesis that the identification of an artist increases the willingness to pay (WTP) for popular artists compared to less popular artists, and to examine how such knowledge of art affects these results. A quasi-experimental, survey of 150 participants recruited at Jehangir Art Gallery in Mumbai, India rated the same ten paintings, five popular and five lesser-known. One group of respondents was given name of the artists and the other group was not. As no price range was provided, WTP was log-transformed and standardized within each respondent, and a popularity premium (popular minus unpopular) was calculated. Among 136 analysed respondents, those who saw the name showed a much larger premium (M = 1.24) than those who did not (M = −0.18), U = 4072, p < .001, rank-biserial r = −.78, Welch’s t(133.71) = 12.15, d = 2.06. The effect was replicated by a trial-level mixed-effects model (b = 3.24, p < .001), robust methods to deal with outliers, and for each of the 10 individual paintings. There was a significant correlation between Aesthetic Fluency and WTP overall (r = .64). It made the prediction only when names were presented (r = .64; when hidden, r = .24.). Named products had more convergence between stated and revealed preference. Ultimately, the premium seems to be majorly driven by reputation, not visual appearance.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
Akerlof, G. A. (1970). The market for ‘lemons’: Quality uncertainty and the market mechanism. The Quarterly Journal of Economics, 84(3), 488. https://doi.org/10.2307/1879431
Becker, G. M., Degroot, M. H., & Marschak, J. (1964). Measuring utility by a single-response sequential method. Behavioral Science, 9(3), 226–232. https://doi.org/10.1002/bs.3830090304
Beggs, A., & Graddy, K. (2009). Anchoring effects: Evidence from art auctions. American Economic Review, 99(3), 1027–1039. https://doi.org/10.1257/aer.99.3.1027
Bourdieu, P. (1984). Distinction a social critique of the judgement of taste 1984. https://monoskop.org/images/e/e0/Pierre_Bourdieu_Distinction_A_Social_Critique_of_the_Judgement_of_Taste_1984.pdf
Chatterjee, A., & Vartanian, O. (2014). Neuroaesthetics. Trends in Cognitive Sciences, 18(7), 370–375. PubMed. https://doi.org/10.1016/j.tics.2014.03.003
Cotter, K. N., Rodriguez-Boerwinkle, R. M., Christensen, A. P., Fekete, A., Smith, J. K., Smith, L. F., Tinio, P. P. L., & Silvia, P. J. (2023). Updating the aesthetic fluency scale: Revised long and short forms for research in the psychology of the arts. PLOS ONE, 18(2), e0281547. https://doi.org/10.1371/journal.pone.0281547
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/bf02310555
Daly, J. C., & Cohen, J. (1978). Statistical power analysis for the behavioral Sciences, revised edition. Journal of the American Statistical Association, 73(363), 680. https://doi.org/10.2307/2286629
Erdem, T., & Swait, J. (1998). Brand equity as a signaling phenomenon. Journal of Consumer Psychology, 7(2), 131–157. https://doi.org/10.1207/s15327663jcp0702_02
Hagtvedt, H., & Patrick, V. M. (2008). Art infusion: The influence of visual art on the perception and evaluation of consumer products. Journal of Marketing Research, 45(3), 379–389. https://doi.org/10.1509/jmkr.45.3.379
Hekkert, P., & van Wieringen, P. C. W. (1996). The impact of level of expertise on the evaluation of original and altered versions of post-impressionistic paintings. Acta Psychologica, 94(2), 117–131. https://doi.org/10.1016/0001-6918(95)00055-0
Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal of Marketing, 57(1), 1–22. https://doi.org/10.1177/002224299305700101
Kirk, U., Skov, M., Hulme, O., Christensen, M. S., & Zeki, S. (2009). Modulation of aesthetic value by semantic context: An fMRI study. NeuroImage, 44(3), 1125–1132. PubMed. https://doi.org/10.1016/j.neuroimage.2008.10.009
Laird, N. M., & Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics, 38(4), 963–974. PubMed. https://pubmed.ncbi.nlm.nih.gov/7168798/
Leder, H., Belke, B., Oeberst, A., & Augustin, D. (2004). A model of aesthetic appreciation and aesthetic judgments. British Journal of Psychology (London, England : 1953), 95(Pt 4), 489–508. PubMed. https://doi.org/10.1348/0007126042369811
Locher, P., Martindale, C., & Dorfman, L. (2020). New directions in aesthetics, creativity, and the arts (P. Locher, C. Martindale, & L. Dorfman, Eds). Routledge. https://doi.org/10.4324/9781315224084
Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18(1), 50–60. https://doi.org/10.1214/aoms/1177730491
Mei, J., & Moses, M. (2002). Art as an investment and the underperformance of masterpieces. American Economic Review, 92(5), 1656–1668. https://doi.org/10.1257/000282802762024719
Murphy, J. J., Allen, P. G., Stevens, T. H., & Weatherhead, D. (2005). A meta-analysis of hypothetical bias in stated preference valuation. Environmental & Resource Economics, 30(3), 313–325. https://doi.org/10.1007/s10640-004-3332-z
Newman, G. E., & Bloom, P. (2012). Art and authenticity: The importance of originals in judgments of value. Journal of Experimental Psychology: General, 141(3), 558–569. https://doi.org/10.1037/a0026035
Plassmann, H., O’Doherty, J., Shiv, B., & Rangel, A. (2008). Marketing actions can modulate neural representations of experienced pleasantness. Proceedings of the National Academy of Sciences, 105(3), 1050–1054. https://doi.org/10.1073/pnas.0706929105
Renneboog, L., & Spaenjers, C. (2012). Buying beauty: On prices and returns in the art market. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1352363
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3–4), 591–611. https://doi.org/10.1093/biomet/52.3-4.591
Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355. https://doi.org/10.2307/1882010
Stahel, W., & Wilcox, R. R. (1998). Introduction to robust estimation and hypothesis testing. Journal of the American Statistical Association, 93(443), 1240. https://doi.org/10.2307/2669876
Welch, B. L. (1947). The generalisation of student’s problems when several different population variances are involved. Biometrika, 34(1–2), 28–35. PubMed. https://doi.org/10.1093/biomet/34.1-2.28
Yuen, K. K. (1974). The two-sample trimmed T for unequal population variances. Biometrika, 61(1), 165. https://doi.org/10.2307/2334299