The Demand Curve Analyzer: Behavioral economic software for applied research

Shawn P. Gilroy, Brent A. Kaplan, Derek D. Reed, Mikhail N. Koffarnus, Donald A. Hantula

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Free and open-source software for applying models of operant demand called the Demand Curve Analyzer (DCA) was developed and systematically evaluated for use in research. The software was constructed to streamline the use of recommended screening measures, prepare suitable scaling parameters, fit one of several models of operant demand, and provide publication-quality figures. The DCA allows users to easily import price and consumption data into spreadsheet-based controls and to perform statistical modeling with the aid of a graphical user interface. The results from computer simulations and reanalyses of published study data indicated that the DCA provides results consistent with commercially available software that has been traditionally used to apply these analyses (i.e., GraphPadTM Prism). Further, the DCA provides additional functionality that other statistical packages do not include. Practical issues and future directions related to the determination of scaling parameter k, screening for nonsystematic data, and the incorporation of more advanced behavioral economic methods are also discussed.

Original languageEnglish
Pages (from-to)553-568
Number of pages16
JournalJournal of the Experimental Analysis of Behavior
Volume110
Issue number3
DOIs
StatePublished - Nov 2018

Bibliographical note

Funding Information:
The charity RESPECT and the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) supported this research; grant Number: PCOFUND-GA-2013-608728.

Publisher Copyright:
© 2018 Society for the Experimental Analysis of Behavior

Keywords

  • behavioral economics
  • demand
  • open source
  • software

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Behavioral Neuroscience

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