Monetary policy and inequality - Isabel Schnabel, Member of the ECB's Executive Board Virtual conference on "Diversity and Inclusion in Economics ...
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Monetary policy and inequality Isabel Schnabel, Member of the ECB’s Executive Board Virtual conference on “Diversity and Inclusion in Economics, Finance, and Central Banking”, Frankfurt am Main, 9 November 2021
Pre-tax Rubric income inequality has risen measurably in advanced economies Pre-tax national income share of richest households (Top 10% share) FR ES DE UK IT US 0.50 0.45 0.40 0.35 0.30 0.25 0.20 1980 1984 1988 1992 1996 2000 2004 2008 2012 2016 Source: WID. Latest observation: 2019. www.ecb.europa.eu © 2
Wealth Rubric of households is highly concentrated Wealth shares of most and least wealthy households (% share of total assets) Bottom 40% Top 10% IT ES FR EA DE US 0 10 20 30 40 50 60 70 80 Source: The Household Finance and Consumption Survey (EA), World Inequality Database (US). Notes: Data for the US refer to net personal wealth. Latest observation: 2017 (EA), 2019 (US). www.ecb.europa.eu © 3
Skill premium has increased, while workers’ bargaining power has declined Rubric United States: skill premium Trade union membership (ratio) (% of employees) Germany Spain Financial Activities relative to Leisure and Hospitality Italy United States 1.2 60 1.0 50 40 0.8 30 0.6 20 0.4 10 0.2 0 1980 1985 1990 1995 2000 2005 2010 2015 2020 1980 1985 1990 1995 2000 2005 2010 2015 2020 Source: Bureau of Labor Statistics and ECB calculations. Source: OECD. Notes: The skill premium is approximated by the difference between the hourly earnings of a worker in the financial service industry and a worker in the leisure and hospitality sector, divided by the hourly earnings of the latter. Latest observation: September 2021. www.ecb.europa.eu © 4
Redistributive Rubric policies effectively reduce pre-tax income inequality Inequality in disposable and market income (Gini coefficients) Market income Disposable income 60 50 40 30 20 10 0 US IT UK ES FR DE Sources: Eurostat, Standardized World Income Inequality Database and ECB staff calculations. Notes: Based on Dossche, Slacalek and Wolswijk (2021). US: Standardized World Income Inequality Database version 8 and 9; Euro area: latest available EU-SILC reference year, which is between 2013 and 2018. www.ecb.europa.eu © 5
Fiscal Rubricpolicy protected the most vulnerable parts of society during the pandemic Exposure to lockdown measures Workers in job retention schemes by income quintile (millions; percentage of the labour force) (percentages) Labour income DE FR IT ES % of LF (rhs) 45 25 20 40 20 16 35 15 12 30 10 8 25 20 5 4 15 0 0 0-20 20-40 40-60 60-80 80-100 Mar-20 Jul-20 Nov-20 Mar-21 Jul-21 Sources: EU-SILC, Eurostat Household Budget Survey and ECB staff calculations. Sources: ECB calculations based on data from Eurostat, Institute for Employment Research Notes: Based on Dossche, Kolndrekaj and Slacalek (2021). Percentage of total income (Institut für Arbeitsmarkt- und Berufsforschung – IAB), ifo Institute, Ministère du Travail, de exposed to lockdown measures by income quintile. l’Emploi et de l’Insertion, Instituto Nazionale Previdenza Sociale (INPS), and Ministerio de Inclusión, Seguridad Social y Migraciones. Latest observations: August 2021 for Germany, France and Spain, June 2021 for Italy. www.ecb.europa.eu © 6
Monetary Rubric policy easing predominantly affects labour income, not interest rate income Effect of a policy rate rate cut on savers and borrowers (percent of household income) Labour income Interest rate income 1.5 1.42 1.34 1.2 0.9 0.6 0.3 0.01 0.0 -0.13 -0.3 Net borrower Net saver Source: Household Finance and Consumption Survey (wave 2017) and ECB staff calculations. Notes: Based on Slacalek et al. (2020). Effects of 100 basis point cut in monetary policy rate in Germany, France, Italy and Spain. www.ecb.europa.eu © 7
Monetary Rubric policy reduces income inequality as low-income households benefit most Change in labour income Employment by education and age in response to higher GDP growth during the 2008/09 global financial crisis (labour income elasticity) (index: 2008Q1=100) 95% confidence interval Euro area average 15-24 25-54 55-74 Total 175 3.0 150 2.5 125 2.0 100 1.5 75 1.0 50 2008… 2010 2012 2014 2008… 2010 2012 2014 2008… 2010 2012 2014 0.5 0.0 Medium-upper Lower secondary 1. Quintile 2. Quintile 3. Quintile 4. Quintile 5. Quintile secondary Teritiary education education education Source: EU-SILC, GSOEP and ECB staff calculations. Source: ECB calculations based on Eurostat data. Notes: Based on Dossche and Hartwig (2019). Euro area refers to Germany, France, Italy Latest observation: 2014 Q4. and Spain. Individuals grouped by household income quintiles. The diamond indicates the estimated elasticity of labour income w.r.t. changes in GDP growth. www.ecb.europa.eu © 8
Assets Rubricpurchased by central banks are typically held by wealthiest households APP and PEPP holdings of the Eurosystem Share of households owning bonds, (EUR bn) mutual funds and shares (% of households) Bonds PSPP CSPP CBPP3 ABSPP PEPP Mutual funds 5,000 Shares COVID-19 % 4,500 outbreak 35 4,000 30 3,500 3,000 25 2,500 20 2,000 15 1,500 10 1,000 5 500 0 0 Oct-14 Sep-15 Aug-16 Jul-17 Jun-18 May-19 Apr-20 Mar-21 All EA households Top net wealth Bottom net wealth decile quintile Source: ECB website, ECB calculations. Source: The Household Finance and Consumption Survey, wave 2017. Latest observation: 31 October 2021. www.ecb.europa.eu © 9
Portfolio Rubric rebalancing by institutional investors may have spurred house price increases Assets of national real estate investment Changes in euro area disposable income trusts (REIT) as a share of GDP and residential property prices (percentage) (nominal; cumulative change since 2015 in percent) BE FR DE NL 40 ES 10% 35 9% 8% 30 7% 25 6% 20 5% 4% 15 3% 10 2% 5 1% 0% 0 2000 2004 2008 2012 2016 2020 Disposable income Residential property prices Source: Eurostat and ECB staff calculations Source: Bloomberg. Latest observation: 2021Q2 Latest observation: 2020. www.ecb.europa.eu © 10
Asset purchases have a larger impact on house prices than policy rate changes Rubric Effects of unconventional and conventional Owner-occupied housing, monetary policy easing on house prices residential property prices and HICP rents (impact on annual growth, pp) (annual percentage change) Owner-occupied housing price index (OOHPI) Unconventional monetary policy Residential property prices Conventional monetary policy HICP rents 1.0 8 0.8 7 6 0.6 5 0.4 4 3 0.2 2 0.0 1 0 0.2 -1 0 1 2 3 4 5 Years 2021Q3 2014 2015 2016 2017 2018 2019 2020 2021 Source: Battistini, Falagiarda, Hackmann and Roma, 2021, “Navigating the housing channel of monetary policy across euro area regions”. Source: Eurostat and ECB calculations Notes: Response to a 10 basis point accommodative monetary policy shock. A conventional Latest observation: 2021Q3 for HICP rents, 2021Q2 for the others. monetary policy shock is defined as the average of the short-term (1 week to 1 year) OIS rate changes around a monetary policy event. An unconventional monetary policy shock is defined as the average of the long-term (4 to 20 years) OIS rate changes around a monetary policy event. www.ecb.europa.eu © 11
House Rubricprices are increasingly overvalued while lending remains buoyant Overvaluation of euro area house prices Loans to households for house purchase (percentage) (annual percentage changes) EA DE FR Average overvaluation Range of valuation estimates 20 20 20 15 15 15 10 10 10 5 0 5 5 -5 0 0 -10 -15 -5 -5 2000 2005 2010 2015 2020 2005 2007 2009 2011 2013 2015 2017 2019 2021 Source: ECB and ECB calculations. Sources: ECB and ECB calculations. Notes: The valuation estimate is the simple average of the price-to-income ratio and an Notes: Country data includes lending to all euro area households. The adjustment for estimated Bayesian vector autoregression model. For details of the methodology, see Box sales and securitisation for the total loans to households is allocated to loans to 3 in Financial Stability Review, ECB, June 2011, and Box 3 in Financial Stability Review, households for house purchase according to their weigh on the former type of loans. For ECB, November 2015 France, data for May 2014 is adjusted to reflect a large securitisation operation. The euro area figure for that month has been also adjusted. Latest observation: September 2021. www.ecb.europa.eu © 12
Rubric Thank you for your attention! www.ecb.europa.eu ©
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