The Ends of Your Means

Part of the Springer Texts in Business and Economics book series (STBE)


This chapter lays out the first steps to bringing closure to an empirical study. Above all, this involves pursuing “coherence,” in which the study’s findings, economic theory, and vernacular knowledge about the phenomenon of interest coalesce into a logically consistent, unified whole. The pursuit of coherence is multifaceted, and extends to the larger literature to which the study belongs. These ideas inform studies of the demand for cigarettes, zero tolerance drunk driving laws, The Great Moderation, and more.


  1. Abedifar P, Ebrahim SM, Molyneux P, Tarazi A (2015) Islamic banking and finance: recent empirical literature and directions for future research. J Econ Surv 29:637–670CrossRefGoogle Scholar
  2. Anderson E, D’Orey MA, Duvendack M, Esposito L (2017) Does government spending affect income inequality? A meta-regression analysis. J Econ Surv 31(4):961–987CrossRefGoogle Scholar
  3. Auld MC, Grootendorst P (2004) An empirical analysis of milk addiction. J Health Econ 23(6):1117–1133CrossRefGoogle Scholar
  4. Becker B (2015) Public R&D policies and private R&D investment: a survey of the empirical evidence. J Econ Surv 29(5):917–942CrossRefGoogle Scholar
  5. Becker G, Grossman M, Murphy K (1994) An empirical analysis of cigarette addiction. Am Econ Rev 84(3):396–418Google Scholar
  6. Benati L, Surico P (2009) VAR analysis and the great moderation. Am Econ Rev 99(4):1636–1652CrossRefGoogle Scholar
  7. Bernhardt D, Heston S (2010) Point shaving in college basketball: a cautionary tale for forensic economics. Econ Inq 48(2):207–210Google Scholar
  8. Borghesi R (2008) Widespread corruption in sports gambling: fact or fiction? South Econ J 74(4):1063–1069Google Scholar
  9. Borghesi R, Dare W (2009) A test of the widespread-point-shaving theory. Finance Res Lett 6(3):115–121CrossRefGoogle Scholar
  10. Carpenter C (2004) How do zero tolerance drunk driving laws work? J Health Econ 23:61–83CrossRefGoogle Scholar
  11. Diemer G, Leeds M (2013) Failing to cover: point shaving or statistical abnormality? Int J Sport Finance 8(3):175–191Google Scholar
  12. Grant D (2010) Dead on arrival: zero tolerance laws don’t work. Econ Inq 48(3):756–770CrossRefGoogle Scholar
  13. Gregory J (2018) Do basketball scoring patterns reflect illegal point shaving or optimal in-game adjustments? Quantit Econ 9(2):1053–1085CrossRefGoogle Scholar
  14. Hingson R, Heeren T, Morelock S (1989) Effects of Maine’s 1982 .02 law to reduce teenage driving after drinking. Alcohol Drugs Driving 5(1):25–36Google Scholar
  15. Johnson N (2009) NCAA ‘point shaving’ as an artifact of the regression effect and the lack of tie games. J Sports Econ 10(1):59–67CrossRefGoogle Scholar
  16. Liang L, Huang J (2008) Go out or stay in? The effects of zero tolerance laws on alcohol use and drinking and driving patterns among college students. Health Econ 17:1261–1275CrossRefGoogle Scholar
  17. Paul RJ, Weinbach AP (2011) Investigating allegations of point shaving in NCAA basketball using actual sportsbook betting percentages. J Sports Econ 12(4):432–447CrossRefGoogle Scholar
  18. Smith R (1979) Compensating wage differentials and public policy: a review. Ind Labor Relat Rev 32(3):339–352CrossRefGoogle Scholar
  19. Van Ours J, Williams J (2015) Cannabis use and its effects on health, education and labor market success. J Econ Surv 29(5):993–1010CrossRefGoogle Scholar
  20. Wagenaar A, O’Malley P, LaFond C (2001) Lowered legal blood alcohol limits for young drivers: effects on drinking, driving, and driving-after-drinking behaviors in 30 states. Am J Public Health 91(5):801–804CrossRefGoogle Scholar
  21. Zitzewitz E (2012) Forensic economics. J Econ Literature 50(3):731–769CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Sam Houston State UniversityHuntsvilleUSA

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