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Animal Learning & Behavior

, Volume 16, Issue 3, pp 330–339 | Cite as

Rapid demand curves for behavioral economics

  • Thomas G. Raslear
  • Richard A. Bauman
  • Steven R. Hursh
  • David Shurtleff
  • Laurence Simmons
Article
  • 445 Downloads

Abstract

A method for determining the relationship between food consumption and the price of food (demand function) in behavioral economic experiments is described. Although previous methods have generally required as long as 40 days, the present method can generate a complete demand function within 7 days, and therefore may be more suitable for use in the evaluation of drugs, toxins, and physiological/anatomical interventions. Moreover, measures of circadian rhythmicity, post-reinforcement pause durations, and interresponse times can also be generated. Three experiments tested the stability of the method in a variety of procedural manipulations: repeated exposure to the procedure, increasing versus random daily food price, and size of daily changes in food price. The procedure generated demand functions that were similar to those that require more extended testing, and the demand functions were not generally affected by procedural manipulations. Body weight, which can also affect consumption, generally decreases with increases in the price of food; so this variable should be recorded and used as a covariate in analyzing demand functions. With the exception of circadian rhythmicity, the other measures were stable across procedural variations and showed expected changes as a function of food price: postreinforcement pause durations increased as price increased, but interresponse times did not.

Keywords

Demand Function Demand Curve Interresponse Time Postreinforcement Pause Pellet Consumption 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Allison, J. (1983)Behavioral economics. New York: Praeger.Google Scholar
  2. Bauman, R., Raslear, T. G., Hursh, S. R., Shurtleff, D., &Simmons, L. (1986). The effect of two series of fixed ratios on the demand for food in a closed economy.Proceedings & Abstracts of the Annual Meeting of the Eastern Psychological Association,57, 45.Google Scholar
  3. Boll, T. J. (1981). The Halstead-Reitan neuropsychology battery. In S. B. Filskov & T. J. Boll (Eds.),Handbook of clinical neuropsychology. New York: Wiley.Google Scholar
  4. Cohen, J. (1982). “New-look” multiple regression/correlation analysis and the analysis of vanance/covanance. In G. Keren (Ed.),Statistical and methodological issues in psychology and social sciences research. Hillsdale, NJ: Erlbaum.Google Scholar
  5. Coluer, G. H., Johnson, D. F., Hill, W. L., &Kaufman, L. W. (1986). The economics of the law of effect.Journal of the Experimental Analysis of Behavior,46, 113–136.CrossRefGoogle Scholar
  6. Dixon, W. J. (1981)BMDP statistical software. Berkeley: University of California Press.Google Scholar
  7. Elsmore, T. F., Fletcher, G. V., Conrad, D. G., &Sodetz, F. J. (1980) Reduction of heroin intake in baboons by an economic constraint.Pharmacology, Biochemistry & Behavior,13, 729–732.CrossRefGoogle Scholar
  8. Felton, M., &Lyon, D. O. (1966). The post-reinforcement pause.Journal of the Experimental Analysis of Behavior,9, 131–134.CrossRefPubMedGoogle Scholar
  9. Guilford, J. P. (1954).Psychometric methods. New York: McGraw-Hill.Google Scholar
  10. Hartwig, F., &Dearing, B. E. (1979).Exploratory data analysis. Beverly Hills: Sage Publications.Google Scholar
  11. Hays, W. L. (1963).Statistics for psychologists. New York: Holt, Rinehart and Winston.Google Scholar
  12. Herrnstein, R. J. (1981). A first law for behavioral analysis.Behavioral & Brain Sciences,4, 392–395.CrossRefGoogle Scholar
  13. Hursh, S. R. (1980). Economic concepts for the analysis of behavior.Journal of the Experimental Analysis of Behavior,34, 219–238.CrossRefPubMedGoogle Scholar
  14. Hursh, S. R. (1984) Behavioral economics.Journal of the Experimental Analysis of Behavior,42, 435–452.CrossRefPubMedGoogle Scholar
  15. Hursh, S. R. (1986, June). Factors defining open and closed economies: Mapping the continuum. In M. L. Commons (Chair),Ninth Harvard symposium on quantitative analyses of behavior. Cambridge, MA.Google Scholar
  16. Hursh, S. R., &Natelson, B. H. (1981). Electrical brain stimulation and food reinforcement dissociated by demand elasticity.Physiology & Behavior,26, 509–515.CrossRefGoogle Scholar
  17. Hursh, S. R., Raslear, T. G., Shurtleff, D., Bauman, R., &Simmons, L. (1987) The definition of price in the determination of demand for food.Proceedings & Abstracts of the Annual Meeting of the Eastern Psychological Association,58, 33.Google Scholar
  18. Hursh, S. R., Raslear, T. G., Shurtleff, D., Bauman, R., & Simmons, L. (in press) A cost-benefit analysis of demand for food.Journal of the Experimental Analysis of Behavior Google Scholar
  19. Lea, S. E. G. (1978). The psychology and economics of demand.Psychological Bulletin,85, 441–466.CrossRefGoogle Scholar
  20. Leu, J. R., &Raslear, T. G. (1983). Effects of diisopropyl-phosphorofluondate on arcadian activity patterns in rats.Neuroscience Abstracts,9, 1074.Google Scholar
  21. Mazur, J. E. (1983) Steady-state performance on fixed-, mixed-, and random-ratio schedules.Journal of the Experimental Analysis of Behavior,39, 293–307.CrossRefPubMedGoogle Scholar
  22. Notterman, J. M., &Mintz, D. E. (1965).Dynamics of response. New York: Wiley.Google Scholar
  23. Osmon, D. C. (1981). The use of test batteries in clinical neuropsychology. In S. B. Filskov & T. J. Boll (Eds.),Handbook of clinical neuropsychology. New York: Wiley.Google Scholar
  24. Rachilin, H., Green, L., Kagel, J. H., &Battalio, R. C. (1976) Economic demand theory and psychological studies of choice. In G. H. Bower (Ed.),The psychology of learning and motivation (Vol 10, pp. 129–154) New York: Academic Press.Google Scholar
  25. Raslear, T. G., &Kaufman, L. W. (1983) Diisopropyl phosphorofluondate (DFP) disrupts circadian activity patterns.Neurobehavioral Toxicology & Teratology,5, 407–411.Google Scholar
  26. Raslear, T. G., Leu, J. R., &Simmons, L. (1986). The effects of diisopropyl phosphorofluondate (DFP) on inter-response time and circadian patterns of lever-pressing in rats.Neurobehavioral Toxicology & Teratology,8, 655–658.Google Scholar
  27. Samuelson, P. A. (1976)Economics (10th ed.). New York: McGraw-Hill.Google Scholar
  28. SAS Institute Inc. (1985)SAS user’s guide. Statistics, Version 5 edition. Cary, NC: Author.Google Scholar
  29. Watson, D. S., &Holman, M. A. (1977)Price theory and its uses (4th ed.). Boston: Houghton Mifflin.Google Scholar

Copyright information

© Psychonomic Society, Inc. 1988

Authors and Affiliations

  • Thomas G. Raslear
    • 1
  • Richard A. Bauman
    • 1
  • Steven R. Hursh
    • 1
  • David Shurtleff
    • 1
  • Laurence Simmons
    • 1
  1. 1.Department of NeurosciencesWalter Reed Army Institute of ResearchWashington, DC

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