Thomas F. Rutherford
Wisconsin National Data Consortium
University of Wisconsin-Madison
July 19-23, 2021
This short course is intended to help graduate students and professional economists interested in how to do state-level policy analysis with applied general equilibrium models calibrated to the WiNDC version 3 (2017 base year) dataset. Lectures will be presented in person, live-streamed and recorded. Vaccinated participants may attend the course in person in Taylor Hall at the University of Wisconsin-Madison.
This day will focus on the issues surrounding climate policy in the US. This will include market-based versus command and control, the double dividend debate and the implications of technical change. Motivation for this analysis will be provided by a survey of current and past carbon mitigation measures which have been implemented. We then introduce a numerical model based on WiNDC data with the BlueNote satellite accounts. We will go through a top-down view of the underlying theory and the model results. We will look at the steps required to run the model and construct Excel pivot tables and charts with model results. The learning objective for this first day is to see that participants who are new GAMS users will be able to run a GAMS model (specifying and solving scenarios and then comparing results). By the end of the session, participants will have a clear idea of how to operate a policy-oriented model and run scenarios on their own machines.
Background reading for this lecture includes selected chapters from Varian’s undergraduate and graduate textbooks and Rutherford’s papers and lecture notes on CES functions.
Theory with numbers applications
Introduction to the MPSGE framework for applied general equilibrium modeling based on small examples derived from Jim Markusen’s computational economics course. These include a variety of “theory with numbers” models which illustrate the range of applications of computable general models.
Back to our sample application (each with short write-up, GAMS model and code for general simulations and pivot reports).
a. Overview of the issues.
b. Model structure – using the WiNDC - BlueNote dataset to examine climate policy proposals.
c. Assessing the distributional impacts across households and states of US climate measures (carbon taxes, border measures, and renewable portfolio standards)
To register, please send an email to the WiNDC manager stating your name, institutional affiliation, professional status (student or professional economist) and whether you intend to attend in person. The registration deadline is July 2, 2021. The course is free of charge and we encourage participants to make a donation of $500 to the Agricultural and Applied Economics Fund - 112039090 at the University of Wisconsin-Madison. Please go to https://www.supportuw.org/how-to-give/. You will have the option to give online or by mail.
For more details, please see the course webpage.