Abstract

This study offers a computable general equilibrium analysis of the $550 billion devoted to new infrastructure investment (new and remodeled physical infrastructure for transportation, information and public services) in the United States under the Infrastructure Investment and Jobs Act, a federal law signed by President Joseph Biden in November 2021. The simulations are based on the state-level distribution of funds and distinguish between the construction phase (short run) and the operational phase (long run). Gross domestic product (GDP) and labor demand react to the government spending stimulus after the first year by growing 0.24% and 0.44%, respectively. The gains derived from this investment plan are higher in the long term once investments increase the country’s capital stock; GDP increases by 1.39% and wages by 3.94%. This paper analyzes the efficiency of the current distribution of funds across sectors, and finds that the current distribution benefits the United States economy more. Even though a slightly higher GDP impact could have been reached (1.42%) if all the funds were devoted to transport services, the price increases would result in lower real wage increases.

Details

Title
Modeling the Impact of Public Infrastructure investments in the U.S.: A CGE Analysis
Author
Suárez-Cuesta, David 1   VIAFID ORCID Logo  ; Latorre, Maria C. 2   VIAFID ORCID Logo 

 Faculty of Statistical Studies, Ciudad Universitaria, Universidad Complutense de Madrid, Department of Applied and Structural Economics & History, Madrid, Spain (GRID:grid.4795.f) (ISNI:0000 0001 2157 7667) 
 Faculty of Statistical Studies, Ciudad Universitaria, Universidad Complutense de Madrid and European Commission (DG Trade), Department of Applied and Structural Economics & History, Madrid, Spain (GRID:grid.4795.f) (ISNI:0000 0001 2157 7667) 
Pages
165-176
Publication year
2023
Publication date
Aug 2023
Publisher
Springer Nature B.V.
ISSN
10830898
e-ISSN
1573966X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2850923148
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.