R package for behavioral economics
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BehavioralEconomics_0.1-1.tar.gz
DESCRIPTION
README.markdown

README.markdown

Introduction

The BehavioralEconomics package is a collection of statistical methods that will be useful to researchers in behavioral economics, particularly if they are modeling intertemporal choice data.

Current Models

At present, the package implements six models for intertemporal choice:

  • Exponential discounting
  • Hyperbolic discounting
  • Quasi-hyperbolic discounting
  • Generalized hyperbolic discounting
  • Kable-Glimcher "as soon as possible" discounting
  • Benhabib fixed cost discounting These are fit using JAGS through the rjags package. Priors are used that as considered "weakly informative".

Intertemporal Choice Models

Every intertemporal choice model assumes that your data is in the form of a data frame with five columns:

  • X1: The monetary value of the first option
  • T1: The time when the first option would be received
  • X2: The monetary value of the second option
  • T2: The time when the second option would be received
  • C: Binary variable indicating whether the second option (X2, T2) was chosen.

Future Work

In the future, there will be:

  • Models of Decision-Making under Uncertainty
    • EU Theory
    • Prospect Theory
  • Maximum Likelihood estimation
  • Alternative priors for Bayesian estimation
  • Simulation tools
  • Generic helper functions