Modeling the Growth of the World Economy: The Basic Overlapping Generations Model
Karl Farmer and
Matthias Schelnast ()
Additional contact information
Matthias Schelnast: University of Graz
Chapter 2 in Growth and International Trade, 2013, pp 29-53 from Springer
Abstract:
Abstract This chapter is devoted to a simple modeling of the growth of the world economy. To this end a log-linear, CD version of Diamond’s (American Economic Review, 55, 1126–1150, 1965) neoclassical growth model is used as basic overlapping generations (OLG) growth model. This is then extended across several further dimensions in the following chapters. As a simple but complete intertemporal general equilibrium model it comprises the optimization problems of agents (younger and older households as well as firms) and the market clearing conditions for each model period. The fundamental equation of motion of the efficiency-weighted capital intensity is derived from the first-order conditions for household’s utility and firm’s profit maximization and from labor and capital market clearing conditions. The “golden rule” of capital accumulation ensures that consumption per efficiency capita is maximized over the long run.
Keywords: Real Interest Rate; Saving Rate; Golden Rule; Indifference Curve; Market Clearing Condition (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Chapter: Modeling the Growth of the World Economy: The Basic Overlapping Generations Model (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-642-33669-0_2
Ordering information: This item can be ordered from
http://www.springer.com/9783642336690
DOI: 10.1007/978-3-642-33669-0_2
Access Statistics for this chapter
More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().