What went wrong?

It is often repeated that inequality is just a transitory phenomenon and is necessary for dynamism and economic growth.

 

Read Part 1: Reducing Inequality: The Challenge

During the three decades when the strongly market-driven paradigm was adhered to, inequality was praised as an incentive to work and develop new skills. Most mainstream economists considered inequality a necessary by-product of a functioning market economy in which individuals are free to make decisions about their education, work and risk-taking. In fact, inequality was largely considered a useful device for providing incentives to take risks and work hard, thereby generating economic benefits for all. Numerous previous studies found that inequality had no significant negative impact on economic growth or on other economic aggregates (Fratzscher, 2018).

Because part of the orthodox literature acknowledged that the market economy may not always work perfectly, it also considers a strong social welfare state to be a useful tool for compensating losers and ensuring social peace. When income inequality started rising in the 1980s and 1990s in many Western economies, academics and policymakers could no longer ignore the trend.

The initial reaction was to blame globalization as the main culprit and insist that national policymakers could do little about it. Some authors argued that because markets would ensure that workers were remunerated according to their skills, income inequality just was an unavoidable transitory phenomenon due for example to technological change. For adherents to this idea, income inequality is due to the information and communications technology revolution, which raised the demand for workers with the skills required to use new technologies such as computers.

Overall, according to the strongly market-based paradigm, inequality was also considered as necessary because it thus provides an incentive for people to invest in their own (higher) education; the increasing number of firms that adopted computers and employed qualified labor provided support for the proponents of this model of skills-biased technological change (Juhn et al., 1993; Katz, 1999).

Yet, the emphasis on the imperatives of globalization or skills-biased technological change provided a political argument for the reduction of the top income tax rate. This reduction was then put in place under Ronald Reagan in the US, Margaret Thatcher in the UK and, later, in other countries like Germany. In Germany, the top income tax rate (Spitzensteuersatz) was lowered from 51% in 2000 to 42%, a decision taken by a social-democrat government in the heyday of supply-side economics in the country.

The proponents of market-liberalism maintained that the incentives provided by initially rising inequality would lead to a much more dynamic economy which then would allow those at the bottom of the income scale to catch-up. Tax cuts for the rich would thus “trickle down” and be the most effective way to increase prosperity, it was said. During these decades, large parts of the economic profession has indeed framed inequality as a positive factor that drives economic dynamism and growth.

Since then all of these assumptions seem to have been seriously challenged by reality. The prediction made by Kuznets (1955) that modern inequality will soon disappear as the new technology spreads has yet to come to pass. Instead, recent research has revealed that the measures of inequality describe a U-shaped pattern, with inequality rising almost uninterruptedly in advanced countries from its low point in the 1970s (Piketty, 2014).

While it is increasingly evident that both income and wealth inequality have been rising, the drivers of inequality and remedies are are yet to be identified adequately. Some authors have argued that the key driver of the rapid increase in wealth at the top is the explosion of rising incomes at the top. As rising top incomes generate higher rates of savings, this drives wealth concentration up (Saez and Zucman, 2016). At the same time, labor bargaining power has decreased with a decline in the rate of unionization, and the wage share of the bottom 90% has stagnated or even fallen in many advanced countries over the past decades. Even real wages have stagnated or even fallen in advanced countries over the past decades. In 2019, real wages in the US for less educated workers were around 9% below their peak in 1973 (Blanchflower, 2019).

There is now increasing evidence suggesting that a main explanation to rising wealth inequality lies in the characteristics and dynamics of asset prices. Research on the US by Moritz Schularick and his colleagues has determined the following: Stock market booms, for example, primarily boost the wealth of households at the top of the US wealth distribution, while housing booms lead to substantial wealth gains for the American middle class (Kuhn et al., 2019). In the US, the sharp rise in wealth inequality after the Global Financial Crisis can thereby be explained by the collapse and slow recovery of the housing prices, while stock prices have literally exploded. For Germany, Moritz Schularick and his colleagues found that the housing boom since 2011 has primarily benefitted the wealthiest households. More than half of the capital gains of the price increase of housing since 2011 went to the top 10% (Baldenius, 2019).

The notorious trickle-down effect is nowhere to be seen and recent research has found that the effect of tax cuts for the top 10% on employment growth is small. A clear positive relationship between tax cuts and employment growth is verifiable only when taxes are cut for lower-income groups (Zidar, 2019). Yet, tax cuts have disproportionately favored the ultra-rich, who have seen their taxes collapse to levels last seen in the 1920s. Indeed, Emmanuel Saez and Gabriel Zucman have estimated that today the 400 wealthiest families in the US pay a lower tax rate than the middle class (Saez and Zucman, 2019).

One reason why “trickle down” is not working simply seems to be that people save a larger proportion of their income if they are at the top of the income distribution (Dynan et al., 2004). This “excess saving,” however, creates extra leverage and funds that are channeled into the financial system. Indeed, inequality via its effect on the supply of credit has been highlighted as a key factor in the runup to the Global Financial Crisis (Kumhof et al, 2015; Mian and Sufi, 2018).

A new strand of the literature is now investigating possible mechanisms regarding how inequality could cause financial instability and reduce economic growth. As inequality increased in the run-up to the Global Financial Crisis, excess savings of the rich were channeled towards the non-rich households, which increased their consumption despite stagnating real incomes in order to maintain their status (Bertrand and Morse, 2016). This highly leveraged economy was masked by the increase in housing prices, which increased the net wealth for much of the middle class (Mian and Sufi, 2011; Kuhn et al, 2019; Albers et al., 2019). However, when the bubble burst in 2008 the same leveraged households cut back on their consumption because they saw the value of their houses plummet (Mian et al., 2013). Furthermore, this caused their debt relative to their net worth to increase, and it has been argued that this “debt overhang” and the process of deleveraging contributed to an extended period of suppressed consumption (Dynan, 2012).

Another strand has begun to document other negative effects of inequality. Apart from its contribution to financial instability, some researchers are investigating whether inequality could have a negative impact on economic growth (Cingano, 2014; Ostry et al., 2014). Inequality may harm growth because it reduces the health of the poor and restricts the accumulation of human capital (Perotti, 1996; Galor and Moav, 2004; Aghion, Caroli, and Garcia-Penalosa, 1999); inequality creates political and economic instability that reduces investment (Alesina and Perotti, 1996); and inequality reduces the potential to adjust to shocks and sustain growth as society’s consensus deteriorates (Rodrik, 1999; Ostry et al., 2014). Moreover, recent research has shown that economic distress was a decisive factor in the recent surge of right-wing populism in Britain, France and the US (Becker et al, 2017; Ferguson et al., 2018).

A new consensus is emerging that our economic system inherently tends to produce inequality. Piketty (2014) famously stated that the return on capital is larger than the growth rate of the economy; however, little is understood about the drivers of this process. Is it increasing income inequality and the rise of the super-manager who is responsible for the overall increase in wealth and income inequality as Piketty (2014) has argued? If so, what are the contributions of individual income sources such as rents from housing? Or is inequality largely driven by wealth effects as occur during asset price booms? If so, what is the role of the real estate sector? Disentangling these factors becomes even more difficult because changes in housing expenditures have dramatically exacerbated the trend of income inequality, as has been shown for Germany (Dustmann et al., 2018). To combat inequality, future research will have to delve deeper into these dynamics and investigate the relative importance of the various drivers of inequality.

Read Part 3: Reducing Inequality: New Economy in Progress

References

  • Aghion, P., Caroli, E., & Garcia-Penalosa, C. (1999). Inequality and economic growth: The perspective of the new growth theories. Journal of Economic literature, 37(4), 1615-60.
  • Albers, T., Bartels, C., & Schularick, M. (2019). Wealth inequality in Germany, 1895-2017.
  • Alesina, A., & Perotti, R. (1996). Income distribution, political instability, and investment. European economic review, 40(6), 1203-28.
  • Alvaredo, F., Chancel, L., Piketty, T., Saez, E., & Zucman, G. (Eds.). (2018). World inequality report 2018. Belknap Press.
  • Atkinson, A (2015), Inequality: What can be done? Harvard University Press.
  • Baldenius, T., Kohl, S., & Schularick, M. (2019). Die neue Wohnungsfrage: Gewinner und Verlierer des deutschen Immobilienbooms.
  • Bartels, C. (2019). Top incomes in Germany, 1871–2014. The Journal of Economic History, 79(3), 669-707.
  • Becker, S. O., Fetzer, T., & Novy, D. (2017). Who voted for Brexit? A comprehensive district-level analysis. Economic Policy, 32(92), 601-50.
  • Bertrand, M., & Morse, A. (2016). Trickle-down consumption. Review of Economics and Statistics, 98(5), 863-79.
  • Blanchflower, D. G. (2019). Not Working: Where Have All the Good Jobs Gone? Princeton University Press.
  • Cingano, F. (2014). Trends in Income Inequality and its Impact on Economic Growth. OECD Social, Employment and Migration Working Papers, No. 163, OECD Publishing, Paris. https://doi.org/10.1787/5jxrjncwxv6j-en.
  • Dustmann, C., Fitzenberger, B., & Zimmermann, M. (2018). Housing expenditures and income inequality. ZEW-Centre for European Economic Research Discussion Paper, (48).
  • Dynan, K. E., Skinner, J., & Zeldes, S. P. (2004). Do the rich save more? Journal of political economy, 112(2), 397-444.
  • Dynan, K. (2012). Is a household debt overhang holding back consumption? [with comments and discussion]. Brookings Papers on Economic Activity, 299-362.
  • Ferguson, T., Page, B., Rothschild, J., Chang, A., & Chen, J. (2018). The Economic and Social Roots of Populist Rebellion: Support for Donald Trump in 2016. Institute for New Economic Thinking Working Paper Series, (83).
  • Fratzscher, M. (2016). Verteilungskampf: Warum Deutschland immer ungleicher wird. Carl Hanser Verlag GmbH Co KG.
  • Grabka, M. M., Goebel, J., & Liebig, S. (2019). Wiederanstieg der Einkommensungleichheit: Aber auch deutlich steigende Realeinkommen. DIW-Wochenbericht, 86(19), 343-53.
  • Juhn, C., Murphy, K. M., & Pierce, B. (1993). Wage inequality and the rise in returns to skill. Journal of political Economy, 101(3), 410-42.
  • Katz, L. F. (1999). Changes in the wage structure and earnings inequality. In Handbook of labor economics, Vol. 3, 1463-55.
  • Kuhn, M., Schularick M., & Steins, U. I. (2019). Income and Wealth Inequality in America, 1949-2013. Forthcoming in Journal of political Economy.
  • Kumhof, M., Rancière, R., & Winant, P. (2015). Inequality, leverage, and crises. American Economic Review, 105(3), 1217-45.
  • Kuznets, S. (1955). Economic growth and income inequality. The American economic review, 45(1), 1-28.
  • Mian, A., & Sufi, A. (2011). House prices, home equity-based borrowing, and the US household leverage crisis. American Economic Review, 101(5), 2132-56.
  • Mian, A., Rao, K., & Sufi, A. (2013). Household balance sheets, consumption, and the economic slump. The Quarterly Journal of Economics, 128(4), 1687-1726.
  • Mian, A., & Sufi, A. (2018). Finance and business cycles: The credit-driven household demand channel. Journal of Economic Perspectives, 32(3), 31-58.
  • Milanovic, B. (2017). Rising capital share and transmission into higher interpersonal inequality. https://voxeu.org/article/reducing-inequality-deconcentrating-capital.
  • Milanovic, B. (2019). Capitalism, Alone: The Future of the System That Rules the World. Harvard University Press.
  • OECD. (2018). The role and design of net wealth taxes in the OECD.
  • Ostry, M. J. D., Berg, M. A., & Tsangarides, M. C. G. (2014). Redistribution, inequality, and growth. International Monetary Fund.
  • Perotti, R. (1996). Growth, income distribution, and democracy: What the data say. Journal of Economic growth, 1(2), 149-87.
  • Piketty, T. (2014). Capital in the Twenty-First Century. Cambridge, MA: Harvard University Press.
  • Piketty, T., Saez, E., & Zucman, G. (2017). Distributional national accounts: Methods and estimates for the United States. The Quarterly Journal of Economics, 133(2), 553-609.
  • Saez, E., & Zucman, G. (2016). Wealth inequality in the United States since 1913: Evidence from capitalized income tax data. The Quarterly Journal of Economics, 131(2), 519-78.
  • Spannagel D., & Molitor, K. (2019). Einkommen immer ungleicher verteilt. WSI-Verteilungsbericht 2019, Report Nr. 53, October 2019.
  • World Bank, Development Research Group. World Bank GINI index (World Bank estimate) – Germany, https://data.worldbank.org/indicator/SI.POV.GINI?locations=DE.
  • Wolf, M. (2006). A strong case for a tax on land values, Financial Times, 5 January 2006. https://www.ft.com/content/8fd9aa52-7e21-11da-8ef9-0000779e2340.
  • Zidar, O. (2019). Tax cuts for whom? Heterogeneous effects of income tax changes on growth and employment. Journal of Political Economy, 127(3), 1437-72.
  • Zucman, G. (2018). If Ronaldo can’t beat Uruguay, the least he can do is pay taxes, New York Times, 3 July 2018.

We use cookies to provide you with the best possible service. When you continue browsing the site, you consent to the use of cookies. More info.