Abstract
This study investigates the importance of collegiality (i.e., good colleagues) and the quality of human capital investment in fostering the development and growth of stars in the field of economics, where stardom is measured by way of receipt of the John Bates Clark Medal, arguably the second-most prestigious award in economics. We provide a vignette as a foundation for both qualitative and quantitative analysis using Egghe’s g-Index. Our results indicate that three institutions, namely Chicago, Harvard and MIT, with secondary consideration to Princeton, generally rank highest in fostering the growth and development of stars in the field of economics.
Similar content being viewed by others
Notes
As Mixon and Upadhyaya (2012: 91) indicate, the John Bates Clark Medal is awarded to an American economist under 40 who is thought to have made the most significant contribution to economic thought and knowledge.
As Mixon and Upadhyaya (2011: 121) point out, the YJA is awarded biannually (under the auspices of the Yrjö Jahnsson Foundation in Finland) to a European economist under 45 years old who has made a contribution in theoretical and applied research that is deemed significant to economics in Europe. The YJA is widely viewed as the second-most prestigious award that can be given to a European economist.
Authors’ acknowledgements are generally contained in a footnote on the first page of a published article. Therein the author or authors recognize the names of individuals who have provided comments and criticisms of the particular study. Berg and Faria (2008) show that this practice serves as a signaling device that increases the probability of acceptance for some authors, a potential explored in Laband et al. (2002) and Mixon and Sawyer (2005). Laband and Tollison (2003) also admit to the possibility of rent seeking through inclusion of journal editors in lists of thanked scholars, although their results hold after adjusting authors’ acknowledgements for journal editors.
These include Paul Samuelson, Milton Friedman, James Tobin, Kenneth Arrow, Robert Solow, Hendrik Houthakker, Zvi Griliches, Gary Becker, Marc Nerlove, Dale Jorgenson, Franklin Fisher, Martin Feldstein, James Heckman, Lawrence Summers, David Card, Kevin Murphy and Andrei Shleiffer.
Hogan (1981) examines the importance of program size, the quality of entrants and of the faculty, as measured by the faculty’s published research output, in drawing conclusions about the importance of faculty research in determining the quality of a graduate program.
Chicago ranks fourth using total citations and first using citations per faculty. Harvard and MIT rank first and second, respectively, using the former method, and seventh and second, respectively, using the latter approach (Laband and Piette 1995).
Stigler (1988: 16) notes that his a priori was seemingly supported when, in 1933, his application to Columbia University resulted in being sent an impersonal pamphlet from the institution and that to Harvard University was met with a personal letter from the departmental secretary, while his application to Chicago prompted a personal response from Harry Millis, the department chairman. In fairness, Stigler (1988: 16) does add a positive sentiment about his professional experience during a subsequent period (11 years) while on the faculty at Columbia.
One might add that through numerous interactions with high-quality colleagues, communication of one’s ideas is made more efficient (Stigler 1988).
The themes in Breit and Hirsch (2004) emerge through a recasting of presentations from a Nobel Laureates lecture series sponsored by Trinity University.
Economists under age 40 of all nationalities are eligible for the JBCM, provided they are affiliated with an American institution at the time the Medal is awarded.
In recent years the JBCM has been awarded in April. Information about the selection process for the JBCM is relatively scant. The Minutes of the April 17, 2014, meeting of the AEA Executive Committee reveals more than most sources about this process (www.aeaweb.org/minutes/14Apr17minExec.pdf):
[Alan] Auerbach explained that nominations for the Clark Medal were solicited from economics department heads of major research universities. The Honors and Awards Committee … also examined lists of eligible scholars to insure that no viable candidate was overlooked. After an extensive discussion of the importance and likely lasting effects of the research contributions of candidates, the Honors and Awards Committee and Executive Committee members, acting together as an Electoral College, VOTED to award the 2014 John Bates Clark Medal to Matthew Gentzkow.”
Our own review of the data indicates that 18.5 % of voters alluded to in the quote above are holders of the JBCM, and that 55.5 % were affiliated with one of five institutions: Harvard, MIT, Princeton, Stanford and Yale. In terms of PhD training, 40.7 % of the 2014 JBCM voters hold doctorates from MIT, followed by Princeton at 11.1 %, and Chicago, Harvard and Stanford, each at 7.4 %. Lastly, 33.3 % of voters in 2014 are female.
Mixon and Upadhyaya (2014) also point out that the JBCM remained vacant in 1953, otherwise it has been awarded on every appropriate occasion since 1947.
The use of the phrase “[t]rained in economics…” throughout this study is synonymous with earning a PhD in economics.
Note that Kenneth Boulding, the 1949 winner of the JBCM, did not complete doctoral training. Thus, he is not included in statistical analyses related to the impact of doctoral training (human capital) on career performance. Data on Boulding is, however, used in other areas of this study.
For example, a scholar has an h-index of 25 if 25 of his 100 papers have at least 25 citations each and the other 75 papers each have fewer than 25 citations (Editors 2007).
This approach is perhaps limited given the fact that a number of the ranked institutions have trained only one JBCM winner.
This approach is, again, perhaps limited given the fact that a number of the ranked institutions have trained only one JBCM winner.
Again, this approach is perhaps limited given the fact that a number of the ranked institutions have trained only one JBCM winner.
Relative to the ranking data from the 1947 to 1991 era, the ranking data from 1993 to 2014 exhibit low variance, thus explaining a portion of the difference in correlation coefficients.
This approach is, again, perhaps limited given the fact that a number of the ranked institutions have trained only one JBCM winner.
Again, relative to the ranking data from the 1947 to 1991 era, the ranking data from 1993 to 2014 exhibit low variance, thus explaining a portion of the difference in correlation coefficients.
In addition to using the generally high rankings of MIT, Chicago and Harvard to separate these three from the larger group, we also sought to include only those institutions affiliated with multiple JCBM winners in at least one ranking from each of the eras (i.e., Nobel Prize and Modern) examined so as to avoid any related econometric issues in the quantitative data analysis presented in Sect. 5 of this study. It is this latter aspect of the empirical approach that separates Princeton, an admittedly top-tier institution, from the other three universities.
In their study, Chan et al. (2014) examine the effect of becoming a JBCM recipient or an Econometric Society Fellow on subsequent performance. Their results suggest statistically significant positive publication and citation differences after award receipt.
The synthetic control groups constructed by Chan et al. (2014) that compete for each JBCM include, on average, about 4.75 non-recipient economists for each JBCM winner.
Note that this time frame combines the last 10 years of what is referred to in this study as the Nobel Prize Era, or 1983–1991, with roughly the first 10 years of what is referred to in this study the Modern Era, or 1993–2003. Although not included in Chan et al. (2014), the JBCM-winning portfolio of Steven Levitt, the 2003 JBCM winner, is included here given that he was a competitor for the award in 2001.
Although not as large as in the prior case, this is a relatively large R 2 for pooled data of the sort examined here.
See Mixon and Gibson (2001) for a similar approach to an investigation into the determinants of concealed-carry gun laws in the US.
The advantage of Harvard collegiality can, to some extent, be seen upon examination of the 1983–2003 period in Fig. 1.
The advantage of MIT human capital can, to some extent, be seen upon examination of the 1983–2003 period in Fig. 2.
These differences are 22.5 and 28.5, respectively. They are significant at the 0.05 and the 0.10 level, respectively.
References
Amir, R., & Knauff, M. (2008). Ranking economics departments worldwide on the basis of PhD placement. Review of Economics and Statistics, 90, 185–190.
Ballou, D. (2001). Pay for performance in public and private schools. Economics of Education Review, 20, 51–61.
Berg, N., & Faria, J. R. (2008). Negatively correlated author seniority and the number of acknowledged people: Name-recognition as a signal of scientific merit? Journal of Socio-Economics, 37, 1234–1247.
Blaug, M., & Vane, H. R. (2003). Who’s who in economics. Cheltenham: Edward Elgar.
Borooah, V. K. (1994). Modelling institutional behaviour: A microeconomic analysis of university management. Public Choice, 81, 101–124.
Breit, W., & Hirsch, B. T. (2004). Lives of the Laureates: Eighteen nobel economists (4th ed.). Cambridge, MA: MIT Press.
Chan, H. F., Frey, B. S., Gallus, J., & Torgler, B. (2014). Academic honors and performance. Labour Economics, 31, 188–204.
Chan, H. F., & Torgler, B. (2015). The implications of educational and methodological background for the career success of nobel Laureates: An investigation of major awards. Scientometrics, 102, 847–863.
Coupé, T. (2003). Revealed performances: Worldwide rankings of economists and economics departments, 1990–2000. Journal of the European Economic Association, 1, 1309–1345.
Davidson, R., & MacKinnon, J. G. (1981). Several tests for model specification in the presence of alternative hypotheses. Econometrica, 49, 781–793.
Davidson, R., & MacKinnon, J. G. (1993). Estimation and inference in econometrics. Oxford: Oxford University Press.
Dusansky, R., & Vernon, C. J. (1998). Rankings of U.S. economics departments. Journal of Economic Perspectives, 12, 157–170.
Editors. (2007). From h to g: The evolution of citation indexes. Research Trends, 1, 4. http://www.researchtrends.com/issue1-september-2007/from-h-to-g/.
Egghe, L. (2006). Theory and practice of the g-index. Scientometrics, 69, 131–152.
Faria, J. R. (1998). The economics of witchcraft and the big eye effect. Kyklos, 51, 537–546.
Faria, J. R. (2002). Scientific, business and political networks in academia. Research in Economics, 56, 187–198.
Faria, J. R., Mixon, F. G., Jr., & Salter, S. P. (2012). An economic model of workplace mobbing in academe. Economics of Education Review, 31, 720–726.
Frey, B. S., & Neckermann, S. (2008). Awards in economics: Towards a new field of inquiry. https://ideas.repec.org/p/zur/iewwpx/401.html.
Friedman, M. (1935). Professor Pigou’s method for measuring elasticities of demand from budgetary data. Quarterly Journal of Economics, 50, 151–163.
Graves, P. E., Marchand, J. R., & Thompson, R. (1982). Economics departmental rankings: Research incentives, constraints, and efficiency. American Economic Review, 72, 1131–1141.
Gujurati, D. N. (1988). Basic econometrics. New York, NY: McGraw-Hill.
Harzing, A. W. (2007) Publish or perish. www.harzing.com/pop.htm.
Hilmer, M. J., & Hilmer, C. E. (2009). Fishes, ponds, and productivity: Student–advisor matching and early career publishing success for economics PhDs. Economic Inquiry, 47, 290–303.
Hogan, T. D. (1981). Faculty research activity and the quality of graduate training. Journal of Human Resources, 16, 400–415.
Hollingsworth, J. R. (2012). Factors associated with scientific creativity. Euresis Journal, 2, 77–112.
Hollingsworth, J. R., Hollingsworth, E. J., & Gear, D. M. (2011). Major discoveries, creativity, and the dynamics of science. Wien: Remaprint Wien.
Johnston, J. (1962). Econometric methods. New York, NY: McGraw-Hill.
Kalaitzidakis, P., Mamuneas, T. P., & Stengos, T. (2003). Rankings of academic journals and institutions in economics. Journal of the European Economic Association, 1, 1346–1366.
Kandel, E., & Lazear, E. P. (1992). Peer pressure and partnerships. Journal of Political Economy, 100, 801–817.
Kennedy, P. (1998). A guide to econometrics. New York, NY: Macmillan.
Laband, D. N., & Piette, M. J. (1995). Team production in economics: Division of labor or mentoring? Labour Economics, 2, 33–40.
Laband, D. N., & Tollison, R. D. (2000). Intellectual collaboration. Journal of Political Economy, 108, 632–662.
Laband, D. N., & Tollison, R. D. (2003). Good colleagues. Journal of Economic Behavior & Organization, 52, 505–512.
Laband, D. N., Tollison, R. D., & Karahan, G. R. (2002). Quality control in economics. Kyklos, 55, 315–334.
MacKinnon, J. G. (1983). Model specification tests against non-nested alternatives. Econometric Reviews, 2, 85–158.
Maddala, G. S. (1983). Limited dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press.
Maddala, G. S. (1992). Introduction to econometrics. New York, NY: Macmillan.
McKenzie, R. B. (1979). The economic basis of departmental discord in academe. Social Science Quarterly, 59, 653–664.
Mixon, F. G., Jr. (1997). Team production in economics: A comment and extension. Labour Economics, 4, 185–191.
Mixon, F. G., Jr., & Gibson, M. T. (2001). The retention of state level concealed handgun laws: Empirical evidence from interest group and legislative models. Public Choice, 107, 1–20.
Mixon, F. G., Jr., & Sawyer, W. C. (2005). Contribution, attribution and the assignment of intellectual property rights in economics. Journal of Economic Studies, 32, 382–386.
Mixon, F. G., Jr., & Upadhyaya, K. P. (2011). From London to the continent: Ranking European economics departments on the basis of prestigious medals and awards. Ekonomia, 14, 119–126.
Mixon, F. G., Jr., & Upadhyaya, K. P. (2012). The economics Olympics: Ranking U.S. economics departments based on prizes, medals, and other awards. Southern Economic Journal, 79, 90–96.
Mixon, F. G., Jr., & Upadhyaya, K. P. (2014). Eyes on the prize: Human capital and demographic elements of economics’ Nobel Prize and John Bates Clark Medal. Briefing Notes in Economics, 24, 1–18.
Oettl, A. (2012). Reconceptualizing stars: Scientist helpfulness and peer performance. Management Science, 58, 1122–1140.
Rampel, C. (2009). Prize deflation. The New York Times, January 4. http://economix.blogs.nytimes.com/2009/01/04/prize-deflation/?_r=0.
Scott, L. C., & Mitias, P. M. (1996). Trends in rankings of economics departments in the U.S.: An update. Economic Inquiry, 34, 378–400.
Shah, N. (2014) Handicapping the john bates clark medal. The Wall Street Journal. http://blogs.wsj.com/economics/2014/04/16/handicapping-the-john-bates-clark-medal-3/.
Stigler, G. J. (1988). Memoirs of an unregulated economist. New York, NY: Basic Books.
Torgler, B., & Piatti, M. (2013). A century of American Economic Review: Insights on critical factors in journal publishing. New York, NY: Palgrave Macmillan.
Zuckerman, H. (1977). Scientific elite. New York, NY: Free Press.
Author information
Authors and Affiliations
Corresponding author
Additional information
The authors are grateful to two anonymous referees of this journal for providing many helpful comments on an earlier version of this study. The usual caveat applies.
Rights and permissions
About this article
Cite this article
Faria, J.R., Mixon, F.G. & Upadhyaya, K.P. Human capital, collegiality, and stardom in economics: empirical analysis. Scientometrics 106, 917–943 (2016). https://doi.org/10.1007/s11192-016-1835-3
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-016-1835-3