What’s Your Identification Strategy? Innovation in Corporate Finance Research

Published Online:https://doi.org/10.1287/mnsc.2016.2437

References

  • Aghion P, Howitt P (1992) A model of growth through creative destruction. Econometrica 60(2):323–351.CrossrefGoogle Scholar
  • Agrawal A (2013) The impact of investor protection law on corporate policy and performance: Evidence from the blue sky laws. J. Financial Econom. 107(2):417–435.CrossrefGoogle Scholar
  • Agrawal A, Goldfarb A (2008) Restructuring research: Communication costs and the democratization of university innovation. Amer. Econom. Rev. 98(4):1578–1590.CrossrefGoogle Scholar
  • Alevy JE, Haigh MS, List JA (2007) Information cascades: Evidence from a field experiment with financial market professionals. J. Finance 62(1):151–180.CrossrefGoogle Scholar
  • Alexander J, Marby R (1994) Relative significance of journals, authors, and articles cited in financial research. J. Finance 49(2):697–712.CrossrefGoogle Scholar
  • Angrist J, Pischke J-S (2010) The credibility revolution in empirical economics: How better research design is taking the con out of econometrics. J. Econom. Perspect. 24(2):3–30.CrossrefGoogle Scholar
  • Atanasov V, Black B (2016) Shock-based causal inference in corporate finance and accounting research. Critical Finance Rev. 5(2):207–304.CrossrefGoogle Scholar
  • Azoulay P, Graff Zivin JS, Manso G (2011) Incentives and creativity: Evidence from the academic life sciences. RAND J. Econom. 42(3):527–554.CrossrefGoogle Scholar
  • Azoulay P, Graff Zivin JS, Sampat BN (2012) The diffusion and scientific knowledge across time and space: Evidence from professional transitions for the superstars of medicine. Lerner J, Stern S, eds. The Rate and Direction of Inventive Activity Revisited, Chap. 2 (University of Chicago Press, Chicago), 107–155.CrossrefGoogle Scholar
  • Azoulay P, Graff Zivin JS, Wang J (2010) Superstar extinction. Quart. J. Econom. 125(2):549–589.CrossrefGoogle Scholar
  • Azoulay P, Stuart T, Wang Y (2014) Matthew: Effect or fable? Management Sci. 60(1):92–109.LinkGoogle Scholar
  • Bansal R, Yaron A (2004) Risks for the long run: A potential resolution of asset pricing puzzles. J. Finance 59(4):1481–1509.CrossrefGoogle Scholar
  • Bayer P, Hjalmarsson R, Pozen D (2009) Building criminal capital behind bars: Peer effects in juvenile corrections. Quart. J. Econom. 124(1):105–147.CrossrefGoogle Scholar
  • Bertrand M, Duflo E, Mullainathan S (2004) How much should we trust difference-in-differences estimates. Quart. J. Econom. 119(1):249–275.CrossrefGoogle Scholar
  • Borokhovich KA, Bricker RJ, Brunarski KR, Simkins BJ (1995) Finance research productivity and influence. J. Finance 50(5):1691–1717.CrossrefGoogle Scholar
  • Bris A, Welch I, Zhu N (2006) The costs of bankruptcy: Chapter 7 liquidation versus Chapter 11 reorganization. J. Finance 61(3):1253–1303.CrossrefGoogle Scholar
  • Brogaard J, Engelberg J, Parsons C (2014) Networks and productivity: Causal evidence from editor rotations. J. Financial Econom. 111(1):251–270.CrossrefGoogle Scholar
  • Campa JM, Kedia S (2002) Explaining the diversification discount. J. Finance 57(4):1731–1762.CrossrefGoogle Scholar
  • Campello M, Galvao A, Juhl T (2013) Policy heterogeneity in empirical corporate finance. Working paper, Cornell University, Ithaca, NY.CrossrefGoogle Scholar
  • Card D, DellaVigna S (2013) Nine facts about top journals in economics. J. Econom. Literature 51(1):144–161.CrossrefGoogle Scholar
  • Chari V, Hoenhayn H (1991) Vintage human capital, growth, and the diffusion of new technology. J. Political Econom. 99(6):1142–1165.CrossrefGoogle Scholar
  • Chava S, Roberts M (2008) How does financing impact investment? The role of debt covenant violations. J. Finance 63(5):2085–2121.CrossrefGoogle Scholar
  • Cohen B (1985) Revolution in Science (Harvard University Press, Cambridge, MA).Google Scholar
  • Comin D, Hobijn B (2010) An exploration of technology diffusion. Amer. Econom. Rev. 100(5):2031–2059.CrossrefGoogle Scholar
  • Corrado C, Ferris S (1997) Journal influence on the design of finance doctoral education. J. Finance 52(5):2091–2102.CrossrefGoogle Scholar
  • Cox JC, Smith VL, Walker JM (1984) Theory and behavior of multiple unit discriminative auctions. J. Finance 39(4):983–1010.CrossrefGoogle Scholar
  • Darwin C (1859) On the Origin of Species (John Murray, London).Google Scholar
  • Diamond A (1980) Age and the acceptance of cliometrics. J. Econom. History 40(4):838–841.CrossrefGoogle Scholar
  • Ding W, Levin S, Stephan P, Winkler A (2010) The impact of information technology on academic scientists’ productivity and collaboration patterns. Management Sci. 56(9):1439–1461.LinkGoogle Scholar
  • Ellison G (2002) Evolving standards for academic publishing: A q-r theory. J. Political Econom. 110(5):994–1034.CrossrefGoogle Scholar
  • Foster A, Rosenzweig M (2010) Microeconomics of technology adoption. Annual Rev. Econom. 2:395–424.CrossrefGoogle Scholar
  • Furman J, Stern S (2011) Climbing atop the shoulders of giants: The impact of institutions on cumulative research. Amer. Econom. Rev. 101(5):1933–1963.CrossrefGoogle Scholar
  • Giroud X, Mueller H, Stomper A, Westerkamp A (2012) Snow and leverage. Rev. Financial Stud. 25(3):680–710.CrossrefGoogle Scholar
  • Gormley T, Matsa D (2011) Growing out of trouble? Corporate responses to liability risk. Rev. Financial Stud. 24(8):2781–2821.CrossrefGoogle Scholar
  • Gormley T, Matsa D (2014) Common errors: How to (and not to) control for unobserved heterogeneity. Rev. Financial Stud. 27(2):617–661.CrossrefGoogle Scholar
  • Griliches Z (1957) Hybrid corn: An exploration in the economics of technological change. Econometrica 25(4):501–522.CrossrefGoogle Scholar
  • Hall B, Khan B (2002) Adoption of new technology. Jones D, ed. New Economy Handbook (Elsevier Science, Amsterdam), 5–20.Google Scholar
  • Hall B, Mairesse J, Turner L (2015) Identifying age, cohort, and period effects in scientific research productivity: Discussion and illustration using simulated and actual data on French physicists. Econom. Innovation New Tech. 16(2):159–177.CrossrefGoogle Scholar
  • Hamermesh D, Pfann G (2012) Reputation and earnings: The roles of quality and quantity in academe. Econom. Inquiry 50(1):1–16.CrossrefGoogle Scholar
  • Hamermesh DS (2013) Six decades of top economics publishing: Who and how? J. Econom. Literature 51(1):1–11.CrossrefGoogle Scholar
  • Hamermesh DS, Johnson GE, Weisbrod BA (1982) Scholarship, citations and salaries: Economic rewards in economics. Southern Econom. J. 49(2):472–481.CrossrefGoogle Scholar
  • Head K, Li YA, Minondo A (2015) Geography, ties, and knowledge flows: Evidence from citations in mathematics. Working paper, University of British Columbia, Vancouver, BC.Google Scholar
  • Hennessy CA, Strebulaev IA (2015) Beyond random assignment: Credible inference of causal effects in dynamic economies. NBER Working Paper 20978, National Bureau of Economic Research, Cambridge, MA.CrossrefGoogle Scholar
  • Jiang W (2015) Have instrumental variables brought us closer to the truth? Keynote speech, 2015 Society for Financial Studies Cavalcade, May 17–20, Georgia Tech, Atlanta.Google Scholar
  • Jones B (2009) The burden of knowledge and the “death of the renaissance man”: Is innovation getting harder? Rev. Econom. Stud. 76(1):283–317.CrossrefGoogle Scholar
  • Karolyi A (2011) The ultimate irrelevance proposition in finance? Financial Rev. 46(4):485–512.CrossrefGoogle Scholar
  • Karolyi GA (2016) Home bias, an academic puzzle. Rev. Finance 20(6):2049–2078.CrossrefGoogle Scholar
  • Kaufman G (1984) Rankings of finance departments by faculty representation on editorial boards of professional journals: A note. J. Finance 39(4):1189–1197.CrossrefGoogle Scholar
  • Keenan M (1991) Fifty years of the American Finance Association. J. Finance 46(3):1125–1156.CrossrefGoogle Scholar
  • Kim HE, Morse A, Zingales L (2009) Are elite universities losing their competitive edge? J. Financial Econom. 93(3):353–381.CrossrefGoogle Scholar
  • Kremer M, Miguel E (2007) The illusion of sustainability. Quart. J. Econom. 122(3):1007–1065.CrossrefGoogle Scholar
  • Kuhn T (1962) The Structure of Scientific Revolutions (University of Chicago Press, Chicago).Google Scholar
  • Li K, Prabhala N (2007) Self-selection models in corporate finance. Eckbo BE, ed. Handbook of Empirical Corporate Finance, Chap. 2 (Elsevier, Amsterdam), 37–83.Google Scholar
  • MacDonald G, Weisbach M (2004) The economics of has-beens. J. Political Econom. 112(1, part 2):289–310.CrossrefGoogle Scholar
  • Mansfield E (1961) Technical change and the rate of imitation. Econometrica 29(4):741–766.CrossrefGoogle Scholar
  • Mokyr J (2002) The Gifts of Athena: Historical Origins of the Knowledge Economy (Princeton University Press, Princeton, NJ).Google Scholar
  • Moore W, Newman R, Turnbull G (2001) Reputational capital and academic pay. Econom. Inquiry 39(4):663–671.CrossrefGoogle Scholar
  • Niemi A (1987) Institutional contributions to the leading finance journals, 1975 through 1986: A note. J. Finance 42(5):1389–1397.CrossrefGoogle Scholar
  • Petersen MA (2009) Estimating standard errors in finance panel data sets: Comparing approaches. Rev. Financial Stud. 22(1):435–480.CrossrefGoogle Scholar
  • Popper K (1959) The Logic of Scientific Discovery (Hutchinson, London).Google Scholar
  • Roberts M, Sufi A (2009) Control rights and capital structure: An empirical investigation. J. Finance 64(4):1657–1695.CrossrefGoogle Scholar
  • Roberts MR, Whited TM (2013) Endogeneity in empirical corporate finance. Constantinides G, Stulz R, Harris M, eds. Handbook of the Economics of Finance, Vol. 2, Part A, Chap. 7 (Elsevier, Amsterdam), 493–572.CrossrefGoogle Scholar
  • Rogers E (2003) Diffusion of Innovation, 5th ed. (Free Press, New York).Google Scholar
  • Stock J, Trebbi F (2003) Who invented instrumental variable regression? J. Econom. Perspect. 17(3):177–194.CrossrefGoogle Scholar
  • Stoyanov A, Zubanov N (2012) Productivity spillovers across firms through worker mobility. Amer. Econom. J: Appl. Econom. 4(2):168–198.CrossrefGoogle Scholar
  • Strebulaev IA, Whited T (2012) Dynamic models and structural estimation in corporate finance. Foundations and Trends Finance 6(1–2):1–163.CrossrefGoogle Scholar
  • Teodoridis F (2015) Generalists, specialists, and the direction of inventive activity. Working paper, University of Southern California, Los Angeles.Google Scholar
  • Thompson SB (2011) Simple formulas for standard errors that cluster by both firm and time. J. Financial Econom. 99(1):1–10.CrossrefGoogle Scholar
  • Weber J (1973) A note on keeping abreast if developments in the field of finance. J. Finance 28(1):161–165.CrossrefGoogle Scholar
  • Welch I (2014) Referee recommendations. Rev. Financial Stud. 27(9):2773–2804.CrossrefGoogle Scholar
  • Whited T (2014) Identification. Keynote speech, 2014 Society for Financial Studies Cavalcade, May 18–21, Georgetown University, Washington, DC.Google Scholar
  • Williams H (2013) Intellectual property rights and innovation: Evidence from the human genome. J. Political Econom. 121(1):1–27.CrossrefGoogle Scholar
  • Wright P (1928) The Tariff on Animal and Vegetable Oils (MacMillan, New York).Google Scholar
  • Zivney T, Bertin W (1992) Publish or perish: What competition is really doing. J. Finance 47(1):295–329.CrossrefGoogle Scholar
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