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Precautionary Savings And Wealth Inequality: A Global Sensitivity Analysis

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  • Marco Cozzi

    (Queen)

Abstract

This paper applies Canova JAE 1994 methodology to perform a thorough sensitivity analysis for the Aiyagari QJE 1994 economy. This is a calibrated GE model with incomplete markets and uninsurable income risk, designed to quantify the size of precautionary savings and the degree of wealth inequality. The results of this global robustness analysis are broadly consistent with Aiyagari’s findings. Even when considering priors for the parameters uncertainty which are highly dispersed, the size of the precautionary savings is modest: at most, they account for an 11% increase in the saving rate. However, the results show that the parameter representing the exogenous borrowing limit seems to lead to relatively large changes in measures of wealth inequality. The Gini index increases by 15 points when considering values of the borrowing limits that lead to empirically plausible shares of households with a negative net worth. The parameters that quantitatively have the largest effects on determining the wealth Gini index are the capital share, the borrowing limit, and the depreciation rate. The parameters affecting most significantly precautionary savings are the risk aversion and the standard deviation of the income shocks.
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Suggested Citation

  • Marco Cozzi, 2011. "Precautionary Savings And Wealth Inequality: A Global Sensitivity Analysis," Working Paper 1270, Economics Department, Queen's University.
    • Handle: RePEc:qed:wpaper:1270
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    File URL: https://www.econ.queensu.ca/sites/econ.queensu.ca/files/qed_wp_1270.pdf
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    References listed on IDEAS

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    1. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2009. "Quantitative Macroeconomics with Heterogeneous Households," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 319-354, May.
    2. Javier Diaz-Gimenez & Vincenzo Quadrini & José-Víctor Ríos-Rull, 1997. "Dimensions of inequality: facts on the U.S. distributions of earnings, income, and wealth," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 21(Spr), pages 3-21.
    3. Javier Diaz-Gimenez & Vincenzo Quadrini & José-Víctor Ríos-Rull & Santiago Budria Rodriguez, 2002. "Updated facts on the U.S. distributions of earnings, income, and wealth," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 26(Sum), pages 2-35.
    4. Marimon, Ramon & Scott, Andrew (ed.), 1999. "Computational Methods for the Study of Dynamic Economies," OUP Catalogue, Oxford University Press, number 9780198294979.
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    Cited by:

    1. Cozzi, Marco, 2012. "Optimal unemployment insurance in GE: A robust calibration approach," Economics Letters, Elsevier, vol. 117(1), pages 28-31.
    2. Marco Cozzi, 2012. "Risk Aversion Heterogeneity, Risky Jobs And Wealth Inequality," Working Paper 1286, Economics Department, Queen's University.
    3. Cozzi, Marco, 2012. "Risk Aversion Heterogeneity, Risky Jobs and Wealth Inequality," Queen's Economics Department Working Papers 274550, Queen's University - Department of Economics.
    4. Cozzi, Marco, 2011. "Optimal Unemployment Insurance in GE: a RobustCalibration Approach," Queen's Economics Department Working Papers 273970, Queen's University - Department of Economics.

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    Keywords

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    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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