Welcome to HARK’s documentation!

User Guide

• Heterogeneous Agents Resources and toolKit (HARK)
  • I. INTRODUCTION
  • II. QUICK START GUIDE
  • III. LIST OF FILES IN REPOSITORY
  • IV. WARNINGS AND DISCLAIMERS
  • V. License

Notebooks

• A Gentle Introduction to HARK
  • Your First HARK Model: Perfect Foresight
  • Representing Agents in HARK
  • Solving an Agent’s Problem
  • Changing Agent Parameters
  • Your Second HARK Model: Adding Income Shocks
  • Changing Constructed Attributes
• KinkedRconsumerType: Consumption-saving model with idiosyncratic income shocks and different interest rates on borrowing and saving
  • Statement of “kinked R” model
  • Solving the “kinked R” model
  • Example parameter values to construct an instance of KinkedRconsumerType
  • Solving and examining the solution of the “kinked R” model
  • Simulating the “kinked R” model

Python API

• Placeholder

HARK.core	High-level functions and classes for solving a wide variety of economic models.
HARK.dcegm	Functions for working with the discrete-continuous EGM (DCEGM) algorithm as described in “The endogenous grid method for discrete-continuous dynamic choice models with (or without) taste shocks” by Iskhakov et al.
HARK.estimation	Functions for estimating structural models, including optimization methods and bootstrapping tools.
HARK.interpolation	Custom interpolation methods for representing approximations to functions.
HARK.parallel	Early version of multithreading in HARK.
HARK.simulation	Functions for generating simulated data and shocks.
HARK.utilities	General purpose / miscellaneous functions.
HARK.validators	Decorators which can be used for validating arguments passed into decorated functions
HARK.ConsumptionSaving.ConsAggShockModel	Consumption-saving models with aggregate productivity shocks as well as idiosyn- cratic income shocks.
HARK.FashionVictim.FashionVictimModel	Specifies a dynamic model of fashion selection in a world with only two styles: jock and punk.

Indices and tables

• Index
• Module Index
• Search Page