An econometric model of the US economy: Structural analysis in 56 equations

5Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This book explores the US economy from 1960 to 2010 using a more Keynsian, Cowles model approach, which the author argues has substantial advantages over the vector autoregression (VAR) and dynamic stochastic general equilibrium (DSGE) models used almost exclusively today. Heim presents a robust argument in favor of the Cowles model as an answer to the pressing, unresolved methodological question of how to accurately model the macroeconomy so that policymakers can reliably use these models to assist their decision making. Thirty-eight behavioral equations, describing determinants of variables such as consumption, taxes, and government spending, are connected by eighteen identities to construct a comprehensive model of the real US economy that Heim then tests across four different time periods to ensure that results are consistent. This comprehensive demonstration of the value of a long-ignored model provides overwhelming evidence that the more Keynesian (Cowles) structural models outperform VAR and DSGE, and therefore should be the models of choice in future macroeconomic studies.

Cite

CITATION STYLE

APA

Heim, J. J. (2017). An econometric model of the US economy: Structural analysis in 56 equations. An Econometric Model of the US Economy: Structural Analysis in 56 Equations (pp. 1–460). Springer International Publishing. https://doi.org/10.1007/978-3-319-50681-4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free