AnyLogic Forum is moving to other platforms

This forum is now not officially supported and will be discontinued early in 2018. Registration and new topics are no longer possible.

To discuss AnyLogic-related issues, you are welcome to use LinkedIn user group and StackOverflow questions tagged with "anylogic".

Falling Off the Cliff? Increasing Economic Security for Low Income Adults as the Safety Net Shrinks Joshua D. Hawley, Julie A. Maurer

The public assistance system is supposed to offer a bridge between poverty and self-sufficiency. Families receive benefits such as Temporary Assistance for Needy Families (TANF) or Supplemental Nutrition Assistance Program (SNAP) to soften the impact of loss of income. The programs are intended to be limited in duration and provide a very modest amount of financial support. Some families are fortunate to also receive a housing voucher or a child care subsidy to help offset basic expenses. Eligibility for benefits varies by program and is based on different criteria, most of which are linked to personal income. This study asks: what happens when benefits are cut before individuals reach economic stability? This is frequently called the “benefits cliff.”
» Mehr lesen

Discrete Choice, Agent Based and System Dynamics Simulation of Health Profession Career Paths T. Flynn, Y. Tian, K. Masnick, G. McDonnell, E. Huynh, A. Mair, N. Osgood. Winter Simulation Conference, 2014.

Modelling real workforce choices accurately via Agent Based Models and System Dynamics requires input data on the actual preferences of individual agents. Often lack of data means that analysts can have an understanding of how agents move through the system, but not why, and when.
» Mehr lesen

Return to Work Behavior of People with Disabilities: A Multi-Method Approach Mariusz Balaban, MYMIC LLC. Winter Simulation Conference, 2014.

This paper discusses the development of a simulation model to mimic a return to work phenomenon of Social Security Disability Insurance (SSDI) enrollees in the United States. Agent Based and Bayesian Network methods are used within a multi-method simulation model to capture system conditions and enrollee behavior.
» Mehr lesen