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US financial shocks and the distribution of income and consumption in the UK

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Abstract

We show that US financial shocks have an impact on the distribution of UK income and consumption. Households with higher income and higher levels of consumption are affected more by this shock than households located towards the lower end of these distributions. An estimated multiple agent DSGE model suggests that the heterogeneity in the household responses can be explained by the different levels of access to financial markets. We find that this heterogeneity magnifies the effect of this shock on aggregate output.

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  • Mumtaz, Haroon & Theodoridis, Konstantinos, 2017. "US financial shocks and the distribution of income and consumption in the UK," Cardiff Economics Working Papers E2017/18, Cardiff University, Cardiff Business School, Economics Section.
    • Handle: RePEc:cdf:wpaper:2017/18
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    1. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    2. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
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    Cited by:

    1. Ayako Saiki & Jon Frost, 2018. "Japan's Unconventional Monetary Policy and Income Distribution: Revisited," Working Papers e126, Tokyo Center for Economic Research.
    2. Sandra Eickmeier & Benedikt Kolb & Esteban Prieto, 2018. "Effects of bank capital requirement tightenings on inequality," CAMA Working Papers 2018-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. George J. Bratsiotis & Kasun D. Pathirage, 2023. "Monetary and Macroprudential Policy and Welfare in an Estimated Four-Agent New Keynesian Model," Economics Discussion Paper Series 2304, Economics, The University of Manchester.
    4. Christian Pierdzioch & Rangan Gupta & Hossein Hassani & Emmanuel Silva, 2018. "Forecasting Changes of Economic Inequality: A Boosting Approach," Working Papers 201868, University of Pretoria, Department of Economics.

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    More about this item

    Keywords

    FAVAR; DSGE model; Financial Shock;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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