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Keywords:Kurtosis 

Working Paper
What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Risk?

We study the evolution of individual labor earnings over the life cycle using a large panel data set of earnings histories drawn from U.S. administrative records. Using fully nonparametric methods, our analysis reaches two broad conclusions. First, earnings shocks display substantial deviations from lognormality?the standard assumption in the incomplete markets literature. In particular, earnings shocks display strong negative skewness and extremely high kurtosis?as high as 30 compared with 3 for a Gaussian distribution. The high kurtosis implies that in a given year, most individuals ...
Working Papers , Paper 719

Working Paper
Identification Using Higher-Order Moments Restrictions

We exploit inequality restrictions on higher-order moments of the distribution of structural shocks to sharpen their identification. We show that these constraints can be treated as necessary conditions and used to shrink the set of admissible rotations. We illustrate the usefulness of this approach showing, by simulations, how it can dramatically improve the identification of monetary policy shocks when combined with widely used sign-restriction schemes. We then apply our methodology to two empirical questions: the effects of monetary policy shocks in the U.S. and the effects of sovereign ...
Working Paper Series , Paper WP 2023-28

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Andrade, Philippe 1 items

Ferroni, Filippo 1 items

Guvenen, Fatih 1 items

Karahan, Fatih 1 items

Melosi, Leonardo 1 items

Ozkan, Serdar 1 items

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C32 1 items

E24 1 items

E27 1 items

E32 1 items

J24 1 items

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