How-to Guides#

How-to guides provide detailed information about respy’s functionalities. Refer to these guides if you are already familiar with EKW models aim to learn more about implementing and estimating your own model with respy.

Model Implementation

Specifying a Model

Learn how to translate a model from equations to the params and options.

Loading Example Models

Access pre-defined toy examples and published models.

Simulation

This guide contains a comprehensive overview of simulation capabilities.

Model Extensions

Unobeserved Hetereogeneity

Learn how to implement finite mixture models to account for unobserved heterogeneity.

Initial Conditions

Add observable heterogeneity like experience, observable characteritics, and lagged choices to your model.

Covariates

Use Covariates to define complex payoff structures.

Hyperbolic Discounting

Learn how to implement hyperbolic discounting in your model.

Model Calibration

Maximum Likelihood

Learn how to construct a criterion function for maximum likelihood estimation.

Method of Simulated Moments

Construct a criterion function for estimation using the method of simulated moments.

Estimation Exercise MSM

This guide contains an example of method of simulated moments estimation using estimagic.

Numerical Integration

Learn how to adjust the numerical integration in the model.