EconPapers    
Economics at your fingertips  
 

Inaccuracy of Loglinearization in Welfare Calculations: Complete vs. Incomplete Market Economies

Jinill Kim, Sunghyun Kim () and Andrew Levin ()

No 252, Computing in Economics and Finance 1999 from Society for Computational Economics

Abstract: Most general equilibrium models calculate welfare gains from international risk sharing based on a loglinear approximation. They have reported welfare gains ranging from zero to one percent of permanent consumption. Some simulation results -- Tesar (1995), van Wincoop (1997), and Kim (1997) -- even reported negative gains from risk sharing. Despite these controversial results, the accuracy of the loglinear approximation in calculating welfare has not been thoroughly examined. This paper investigates the accuracy of the loglinear approximation in welfare calculations by comparing certainty-equivalent consumption levels under complete-market and bond-only economies. We compare the welfare gains determined by two solution methods: exact solution and log-linear approximation. We replicate the results in Tesar (1995) on welfare-gain calculations by solving the nonlinear equation system under certainty equivalence using the TROLL program. Under certain parameter values, we show that the loglinear approximation generates higher welfare in the bond-only economy than the complete-market economy, while the nonlinear solution produces a correct welfare ordering. Even though loglinearization generates accurate results in calculating the first and second moments, it generates significantly incorrect results in calculating welfare. This robust result suggests that all the welfare calculations based on the loglinear approximation should be abandoned.

Date: 1999-03-01
New Economics Papers: this item is included in nep-dge
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
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:sce:scecf9:252

Access Statistics for this paper

More papers in Computing in Economics and Finance 1999 from Society for Computational Economics CEF99, Boston College, Department of Economics, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2025-03-20
Handle: RePEc:sce:scecf9:252