My Account Log in

1 option

On the Size Distribution of Macroeconomic Disasters / Robert J. Barro, Tao Jin.

NBER Working papers Available online

View online
Format:
Book
Author/Creator:
Barro, Robert J.
Contributor:
National Bureau of Economic Research.
Jin, Tao.
Series:
Working Paper Series (National Bureau of Economic Research) no. w15247.
NBER working paper series no. w15247
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2009.
Summary:
In the rare-disasters setting, a key determinant of the equity premium is the size distribution of macroeconomic disasters, gauged by proportionate declines in per capita consumption or GDP. The long-term national-accounts data for up to 36 countries provide a large sample of disaster events of magnitude 10% or more. For this sample, a power-law density provides a good fit to the distribution of the ratio of normal to disaster consumption or GDP. The key parameter of the size distribution is the upper-tail exponent, `alpha`, estimated to be near 5, with a 95% confidence interval between 3-1/2 and 7. The equity premium involves a race between `alpha` and the coefficient of relative risk aversion, `gamma`. A higher `alpha` signifies a thinner tail and, therefore, a lower equity premium, whereas a higher `gamma` implies a higher equity premium. The equity premium is finite if `alpha-1>gamma`. To accord with the observed average unlevered equity premium of around 5%, we get a point estimate for `gamma` close to 3, with a 95% confidence interval of roughly 2 to 4.
Notes:
Print version record
August 2009.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account