on Inequality Monetary Policy, Macroprudential Regulation and Inequality Zurich, 3-4 October 2016

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The Effects of Monetary Policy Shocks on Inequality Davide Furceri, Prakash Loungani and Aleksandra Zdzienicka International Monetary Fund Monetary Policy, Macroprudential Regulation and Inequality Zurich, -4 October 6 The views expressed in this paper are those of the authors and do not necessarily represent those of the IMF or IMF policy.

Motivation Extensive literature on inequality drivers But mostly focusing on structural drivers: Technological progress (Bound and Johnson 99; Acemoglu ); Demographics (Karahan and Ozkan ); Trade and Financial Openness (Feenstra and Hanson 8) Labor market structure (Card ; Jaumotte and Osorio-Buitron ) Recently, concerns about the impact of monetary policy: Accommodative monetary policy stance (Acemoglu and Johnson ; Stiglitz )

Motivation Ambiguous effects In theory, expansionary monetary policy may: Increase inequality Boosting asset prices top-income households hold larger shares Increasing inflation low-income households hold more liquid asset Reduce inequality Benefiting borrower and hurting savers Economic activity affects more labor earnings at the bottom of distribution Empirical evidence Coibion et al. () for the US: expansionary monetary policy reduces inequality O Farrell et al. (6): effect varies across 8 OECD countries Saiki and Frost (4) for Japan: expansionary monetary policy increases inequality

Contribution Contribution. Effect of monetary policy on inequality constructing unexpected, and orthogonal to innovations in economic activity, changes in policy rates.. Examining the impact of monetary policy on inequality for a large sample ofadvanced and emerging market economies.. Assessing whether the effects of monetary policy shocks: vary over time, depend on the type of monetary shocks (tightening vs. expansionary), the state of the business cycle, the share of labor income to total income the size of redistribution policies. What we don t do: assess the effects of unconventional monetary policy.

Summary Key findings Contractionary (expansionary) monetary actions increase (reduce) inequality. The effect is larger for positive monetary policy shocks especially during expansions,... and in countries with higher labor share of income and lower redistribution. Changes in policy rates driven by an increase in growth are associated with lower inequality.

Methodology Orthogonal Monetary Policy Shocks (MP) i FE i,t = α + βfe inf i,t + γfe g i,t + MP i,t FE i is the difference between the actual policy rates and the rate expected in October of the same year (Consensus forecasts); FE inf is the forecast error of inflation; FE g is the forecast error of growth. Advantage of this approach (Auerbach and Gorodnichenko ): eliminates the problem of policy foresight (Forni and Gambetti ; Leeper et al. ); reduces the likelihood of capturing the potentially endogenous response of monetary policy to the state of the economy.

Methodology Monetary Policy Shocks (MP) kdensity res..4.6 kdensity res... Panel. Advanced Economies -4-4 x Panel. Emerging market economies -4-4 x

Methodology Monetary Policy Shocks (MP) Ours vs. R &R Correlation=.8.. -. - -. - Ours R&R

Methodology Effect on output and unemployment Effect of a bps exogenous increase in policy rates -. -.4 -.6 -.8 - -. -.4 -.6 Panel. Output (percent).9.8.7.6..4... -. - 4 -. Panel. Unemployment (percentage points) - 4 Note: t= is the year of the shock. Solid blue lines denote the response to an unexpected increase (or decrease) in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Estimates based on equation ().

Methodology Empirical framework Local projection method to assess the response of inequality (Gini) to monetary policy shocks: y i,t+k y i,t = α k i + θ k t + β k MP i,t + π k k X i,t + ε i,t () y is the log of market (net) inequality; X a set of control including lagged change in inequality and monetary policy shocks. Sample: unbalanced panel of advanced and emerging market economies from 99 to.

Results Contractionary MP increases inequality Effect of a bps exogenous increase in policy rates 4-4 Note: t= is the year of the shock. Solid lines denote the response to an unanticipated increase in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Estimates based on equation ().

Results Robustness checks Effect of a bps exogenous increase in policy rates Panel. Gross inequality Panel. Pre-8 Panel. Additional controls (fiscal shocks and recessions) 4 4 4-4 - 4-4 - - Note: t= is the year of the shock. Solid lines denote the response to an unanticipated increase in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Estimates based on equation ().

Results Effect on top income shares Effect of a bps exogenous increase in policy rates Panel. Top percent Panel. Top percent Panel. Top percent.4.4.4....8.8.8.6.6.6.4.4.4... -. - - - Note: t= is the year of the shock. Solid lines denote the response to an unanticipated increase in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Estimates based on equation ().

Results Positive vs. negative shocks Effect of a bps exogenous increase in policy rates Panel. Negative shocks Panel. Positive shocks 8 6 4 8 6 4 - - -4-4 - 4-4 Note: t= is the year of the shock. Solid lines denote the response to an unanticipated increase in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Estimates based on the following equation: y i,t+k y i,t = α k i + θ k t + β k + D i,t MP i,t + β k D i,t MP i,t + π k X i,t + ε k i,t, where D= if the monetary policy shock is positive.

Results Growth driven vs. unanticipated shocks Effect of a bps exogenous increase in policy rates Panel. Growth-driven shocks Panel. Innovations in policy rates - - - -4 - -6.... -. -7-4 - 4 - Note: t= is the year of the shock. Solid blue lines denote the response to a growth-driven increase (innovation) of monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Solid yellow lines denote the unconditional (baseline) response. Growth-driven monetary policy shocks are identified as the forecast error in policy rates explained by news in growth and inflation that is, the fitted value of equation (). Innovations in policy rates are the forecast error in policy rates.

Results Recession vs. expansions Effect of a bps exogenous increase in policy rates Panel. Recessions Panel. Expansions 7 6 4 7 6 4 - - - - 4-4 - Note: t= is the year of the shock. Solid blue lines denote the response to an unexpected increase (or decrease) in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Solid yellow lines denote the unconditional (baseline) response. Estimates based on equation: y i,t+k y i,t = α k i + ϑ k t + β k G z it MP i,t + β k G z it MP i,t + ε k i,t, where G(z) is the smooth transition function. z is a (standardized) variable for the state of the economy.

Results Recession vs. expansions positive shocks Effect of a bps exogenous increase in policy rates Panel. Recessions Panel. Expansions 9 7-9 7 - - - 4-4 - Note: t= is the year of the shock. Solid blue lines denote the response to an unexpected increase (or decrease) in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Solid yellow lines denote the unconditional (baseline) response. Estimates based on equation: y i,t+k y i,t = α k i + ϑ k t + β k G z it MP i,t + β k G z it MP i,t + ε k i,t, where G(z) is the smooth transition function. z is a (standardized) variable for the state of the economy.

Results Recession vs. expansions negative shocks Effect of a bps exogenous increase in policy rates Panel. Recessions Panel. Expansions 9 7 - - 9 7 - - - - 4-4 - Note: t= is the year of the shock. Solid blue lines denote the response to an unexpected increase (or decrease) in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Solid yellow lines denote the unconditional (baseline) response. Estimates based on equation: y i,t+k y i,t = α k i + ϑ k t + β k G z it MP i,t + β k G z it MP i,t + ε k i,t, where G(z) is the smooth transition function. z is a (standardized) variable for the state of the economy.

Results Role of labor share Effect of a bps exogenous increase in policy rates Panel. Very low labor share Panel. Very high labor share 9 9 - - -9-4 - 4-9 Note: t= is the year of the shock. Solid blue lines denote the response to an unexpected increase (or decrease) in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Solid yellow lines denote the unconditional (baseline) response. Estimates based on equation: y i,t+k y i,t = α k i + ϑ k t + β k G z it MP i,t + β k G z it MP i,t + ε k i,t, where G(z) is the smooth transition function of the labor share. z is a (standardized) variable for the labor share.

Results Role of redistribution Effect of a bps exogenous increase in policy rates Panel. Very low redistribution Panel. Very high redistribution 8 6 4 9 7 - - - 4-4 - Note: t= is the year of the shock. Solid blue lines denote the response to an unexpected increase (or decrease) in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Solid yellow lines denote the unconditional (baseline) response. Estimates based on equation: y i,t+k y i,t = α k i + ϑ k t + β k G z it MP i,t + β k G z it MP i,t + ε k i,t, where G(z) is the smooth transition function of redistribution. z is a (standardized) variable for redistribution.

Conclusions Conclusions Monetary policy easing reduces inequality, but the effects vary over time, across the business cycles, and depend on the types of monetary shocks. Effects also depend on the share of labor income and redistribution policies. Recent accommodative monetary policy stance in many advanced economies may not only have helped boost demand but also contributed mitigating the increase in inequality driven by structural trends.

Thank you!

Methodology List of countries in the sample Advanced Economies Australia Canada Czech Republic France Germany Hong Kong SAR Italy Japan Korea Netherlands New Zealand Norway Singapore Slovak Republic Spain Sweden Switzerland Taiwan Province of China United Kingdom United States Emerging Market Countries Argentina Brazil Chile Hungary India Indonesia Malaysia Mexico Philippines Poland Thailand Turkey

Results Contractionary MP increases inequality Effect of a bps increase in policy rates.. - 4 Note: t= is the year of the shock. Solid lines denote the response to increase in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Solid yellow line denotes the unconditional (baseline) response. Estimates based on equation ().

Results Role of initial inequality conditions Effect of bps exogenous increase in policy rates Panel. Very high initial inequality Panel. Very low initial inequality 4 - - - 4 - - - -4-4 - 4-4 Note: t= is the year of the shock. Solid blue lines denote the response to an unexpected increase (or decrease) in monetary policy rates of basis points, and dashed lines denote 9 percent confidence bands. Solid yellow lines denote the unconditional (baseline) response. Estimates based on equation: y i,t+k y i,t = α k i + ϑ k t + β k G z it MP i,t + β k G z it MP i,t + ε k i,t, where G(z) is the smooth transition function of the initial level of inequality.