PI+ is the premier software solution for conducting dynamic macroeconomic impact analysis of public policy. As our flagship model, PI+ specializes in generating realistic year-by-year estimates of the total local, state, and national effects of any specific policy initiative.
Using a wide range of policy variables to represent the policy being evaluated, REMI’s explicit model structure helps the user interpret the forecasted economic and demographic effects. The model can be calibrated to any sub-national area for policy analysis and forecasting, and is available in single- and multi-area configurations. Each calibrated area (or region) has economic and demographic variables to test the effects of any policy on a local economy.
Model simulations estimate comprehensive economic and demographic effects in wide-ranging initiatives, such as: economic impact analysis; policies and programs for economic development, infrastructure, environment, energy and natural resources.
PI+ is used by government agencies (including most U.S. state governments), consulting firms, nonprofit institutions, universities, and public utilities. Articles about the model equations and research findings have been published in professional national journals, including the American Economic Review, The Review of Economic Statistics, the Journal of Regional Science, and the International Regional Science Review.
Ernst & Young
National Education Association
North Carolina Department of Commerce
Sandia National Laboratories
South Coast Air Quality Management District
Tennessee Valley Authority
University of Michigan
Wyoming Department of Administration & Information
Data Sources and Estimation Procedures
Major Changes
Model Equations
PI+ User’s Guide
Data Sources and Estimation Procedures
Major Changes
Model Equations
PI+ User’s Guide
Data Sources and Estimation Procedures
Major Changes
Model Equations
PI+ User’s Guide
State and Local Government Spending Equation Estimation
Data Sources and Estimation Procedures
Major Changes
Model Equations
PI+ User’s Guide
Calculating Multipliers with the REMI Model
Data Sources and Estimation Procedures
Income Distribution
Major Changes
Model Equations
PI+ User’s Guide
Beta and Sigma Estimation Methodology
Calculating Multipliers with the REMI Model
Data Sources and Estimation Procedures
Income Distribution
Model Changes
Model Equations
PI+ User’s Guide
Industries – Hierarchical v2.2
Industry Comparison – Sector
Industry Comparison – Hierarchical
Demographic Component v2.2
PI+ Changes v2.2
PI+ Overview v2.2
Consumption Categories – Hierarchical v2.2
Consumption Categories – Detail Level v2.2
Consumption Categories – Summary Level v2.2
Income Distribution v2.2
Industries – Detail Level v2.2
Industries – Sector Level v2.2
Industries – Summary Level v2.2
Industry Comparison – Detail
Industry Comparison – Summary
Occupations – Detail Level v2.2
Occupations – Hierarchical v2.2
Occupations – Summary Level v2.2
Data Sources and Estimation Procedures v2.2
Comparing Employment Multiplier and Economic Migration Responses in Single vs Multi Region Models
BEA vs BLS Value Added
Comparing Business Cost Policy Variables
Model Equations v2.2
Consumption Categories – Hierarchical v2.1
Data Sources and Estimation Procedures v2.1
Demographic Component v2.1
Economic Migration Equation Estimation v2.1
Estimated Labor Force Participation Rates Elasticities v2.1
Income Distribution v2.1
Industries – Hierarchical v2.1
Model Equations v2.1
Occupations – Hierarchical v2.1
PI+ Changes v2.1
PI+ Interface Guide v2.1
