Policy analysis through microsimulation: the STATS model

Area of Science:

• Economics
• Social Policy
• Computational Social Science

Background:

• Assessing the economic impact of tax and benefit policies is crucial for effective policymaking.
• Existing models may not adequately capture the heterogeneity of individual economic circumstances.

Purpose of the Study:

• To introduce the Simulated Tax and Transfer System (STATS) model, a microsimulation tool.
• To demonstrate how the STATS model evaluates the economic status of population groups under policy changes.

Main Methods:

• Utilizes a nationally representative household survey.
• Employs a microsimulation approach, calculating taxes and benefits for individual cases.
• Aggregates individual-level data to estimate group-level economic and demographic impacts.

Main Results:

• The STATS model can estimate the effects of tax and benefit proposals on diverse population segments.
• Illustrates policy analysis using a case study on Social Security benefit taxation.
• Highlights the influence of data sources on model limitations.

Conclusions:

• Microsimulation models like STATS provide valuable insights into policy impacts on economic status.
• The STATS model offers a flexible framework for analyzing tax and transfer policies.
• Understanding data limitations is essential for interpreting model outputs accurately.