Inequality and Government Size: A Political Economy Theory and OECD Evidence

  • Chapter
  • First Online:
Inequality, Demography and Fiscal Policy

Part of the book series: Applied Economics and Policy Studies ((AEPS))

  • 117 Accesses

Abstract

The median voter theory of government size predicts that greater inequality leads to greater demand for redistribution and larger government Meltzer and Richard in J Polit Econ 89(5), 914–927 (1981). However, this prediction is often rejected empirically. This paper distinguishes between income inequality induced by differences in labor productivity and income inequality induced by differences in capital income. Whilst the standard argument applies to productivity-induced income inequality, greater capital income inequality leads to smaller government if, as often observed, capital income is difficult to tax. Using OECD data, government size and capital income inequality (proxied by the top 1% income share) are found to be negatively related in both fixed effects and instrumental variable regressions. Moreover, controlling for capital income inequality yields a positive and significant relationship between government size and labor income inequality, as originally conjectured.

This chapter is coauthored with Andrew Pickering and Paulo Santos Monteiro at Department of Economics and Related Studies, University of York.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 96.29
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
EUR 128.39
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Romer (1975) and Roberts (1977) are important antecedents.

  2. 2.

    More recent empirical literature (De Mello and Tiongson 2006; Shelton 2007; Muinelo and Roca 2013) is also unsupportive.

  3. 3.

    Other mechanisms are proposed by Persson (1995) and Rodriguez (2004). In the former, utility depends on relative consumption. In this model there is increasingly a problem of excessive labor supply in more equal societies and taxes work to increase utility by reducing labor. As in Benabou (2000), greater equality increases the capacity for agreement to tax, which again solves a market failure. Taxes work to eliminate the negative externalities associated with individual labor supply. Rodriguez (2004) instead models the political power of the rich as increasing with inequality, thereby reducing their obligation to pay tax. The democratic constraint is therefore undermined.

  4. 4.

    Limited capital income data indicates that the rich do hide their income from capital, and in other words, it is difficult to tax their capital income. This in turn implies the lack of capital income tax (and data) that the median voter can effectuate, consistent with OECD evidence (extremely small size of capital income taxation), as well as the lack of capital income inequality data.

  5. 5.

    The 0.1% income share could alternatively be used, though the results are very similiar because the correlation between the 0.1 and 1% income shares is around 0.98.

  6. 6.

    In order to compare with the Meltzer and Richard (1981) model, we start with a static model and focus on the tax policy choice generated by different sources of income inequality, rather than over-generation pension wealth decision.

  7. 7.

    Capital income analyzed throughout this chapter is the income with zero opportunity cost, such as rental income. Housing price in large cities has consistently increased in recent years and has been accumulated as high levels of housing wealth. Higher levels of housing wealth do lead to larger inequality in wealth, while it cannot be taxed until it is sold (in the case of rental income, it can be claimed as smaller size or other items to avoid tax).

  8. 8.

    The results would all still stand if we instead modeled capital income taxation as fixed (and unresponsive to inequality), as observed from OECD data. The difficulty to collect capital income tax also underpins this argument. The rich are anti-tax: it could be easily observed that large companies always try to reclassify their labor-capital income in order to find tax haven. In rich economies with low self-employment, tax evasion is small on aggregate but high at the top, strong gradient within top 1% (Alstadsæter et al. 2018).

  9. 9.

    Deadweight loss as well as capital flight loss leads to a loss of function of capital income taxation, which constraines the ability of median voter to influence over capital income tax rates.

  10. 10.

    For simplicity (but without loss of generality) we henceforth assume that the joint distribution of x and R is such that \(n_i>0\) for all i, so that everyone supplies a strictly positive amount of market work.

  11. 11.

    Notice that, as in Meltzer and Richard (1981), the sign of

    $$\begin{aligned} \frac{\partial n}{\partial x}=-\frac{\left( 1-t\right) u_{c} + \left( 1-t\right) ^2 x n u_{cc}-\left( 1-t\right) nu_{cl}}{D} \end{aligned}$$
    (2.8)

    is indeterminate. Hence, the labor supply could be backward bending as productivity increases. Still, pre-tax labor income may never decline following an increase in productivity. To see this notice that, for any individual earning positive labor income, we have

    $$\begin{aligned} \begin{aligned} \frac{\partial y}{\partial x}&=n+x\frac{\partial n}{\partial x} \\&=-\frac{\left( 1-t\right) xu_{c} + n\left[ u_{cl}\left( 1-t\right) x-u_{ll}\right] }{D}>0, \end{aligned} \end{aligned}$$
    (2.9)

    which must be positive given condition (2.5).

  12. 12.

    Details are available in the Appendix.

  13. 13.

    The size of the shaded area depends on the size of the set \(\mathcal {K}\) (if we choose a larger set \(\mathcal {K}\), then the shaded area will be larger). The position of this shaded area indicates initial levels of capital income that individuals in the set \(\mathcal {K}\) have (and we will discuss below regarding to the consequence of increased capital income inequality). We focus on the 99% percentile because in the empirical section that follows we use the income share of the top 1% as our measure of capital income inequality.

  14. 14.

    Consistent with Assumption 2.2, Atkinson and Lakner (2013) found that in the United States the tax units at the top of the labor income distribution are more likely to also be at the top of the capital income distribution.

  15. 15.

    It is not, however, a mean preserving spread in capital income. But lowering the capital income of the bottom \(\mathcal {Q}_{\left( 1-\mathcal {K} \right) \,\%}\) capital income earners in order to preserve the mean capital income would only reinforce our results.

  16. 16.

    Specifically the countries included are Australia, Canada, Denmark, Finland, France, Germany, Ireland, Italy, Japan, the Netherlands, Norway, Spain, Sweden, the United Kingdom, and the United States. Current data availability for the top income share precludes using other countries. The sample ends in 2007 due to the substantial toll on government outlays in many countries following the global financial crisis.

  17. 17.

    See Galbraith and Kum (2005).

  18. 18.

    To utilize Theil’s T statistic—measured across sectors within each country—shows the evolution of economic inequality. We can do this with many different data sets, including at the regional or provincial level. With the UTIP data, we can review changes in global inequality both across countries and through time. Nothing comparable can be done with previous data set (i.e. Deininger and Squire), for the measurements are too sparse and too inconsistent.

  19. 19.

    The results would all still stand if we ideally incorporate polity variables as one further control variable. The reason why we omit here is to easily compare with the template work by Facchini et al. (2017), and that the sample countries we have are all with high democracy scores.

  20. 20.

    Taken from the WDI database.

  21. 21.

    Note that any effect of technological change through labor income inequality, or the labor share, is closed off due to these variables separately being included as controls in the analysis. It is still nonetheless possible that technology is correlated with the error term in the second-stage regression (i.e. violating the exclusion restriction), though the mechanism is not easy to see given the extensive set of controls. Moreover the exclusion restriction is tested below using the Hausman over-identification test.

  22. 22.

    For instance in their Fig. 2.3 capital gains, capital income and business income represent well over half of the income of the top 0.1% in the US.

  23. 23.

    Dabla-Norris et al. (2015) find that overall inequality actually increases with financial openness. The mechanism discussed therein is skills-bias—financial openness productively adds especially to the highly-skilled, thus increasing wage-inequality. It should be clear that this is a distinct hypothesis from ours, which emphasizes access to capital markets. Note again that labor income inequality is controlled for in both the first and second stages of the IV estimation. Hence the estimated effect of the Chinn-Ito index on capital income inequality is already conditional on any effect it has on labor income inequality.

References

  • Alstadsæter A, Johannesen N, Zucman G (2018) Who owns the wealth in tax havens? Macro evidence and implications for global inequality. J Public Econ 162:89–100

    Google Scholar 

  • Atkinson AB, Lakner C (2013) Wages, capital and top incomes: The factor income composition of top incomes in the USA, 1960–2005. The Society for the Study of Economic Inequality

    Google Scholar 

  • Atkinson AB, Piketty T, Saez E (2011) Top incomes in the long run of history. J Econom Lit 49(1):3–71

    Article  Google Scholar 

  • Azmat G, Manning A, Reenen JV (2012) Privatization and the decline of labour’s share: international evidence from network industries. Economica 79(315):470–492

    Article  Google Scholar 

  • Bassett WF, Burkett JP, Putterman L (1999) Income distribution, government transfers, and the problem of unequal influence. Eur J Polit Econ 15(2):207–228

    Article  Google Scholar 

  • Benabou R (1996) Inequality and growth. National Bureau Econom Res Macroecon Annu 11:11–74

    Article  Google Scholar 

  • Benabou R (2000) Unequal societies: income distribution and the social contract. Am Econom Rev 90(1):96–129

    Article  Google Scholar 

  • Bergh A, Henrekson M (2011) Government size and growth: a survey and interpretation of the evidence. J Econom Surv 25(5):872–897

    Article  Google Scholar 

  • Chinn MD, Ito H (2006) What matters for financial development? Capital controls, institutions, and interactions. J Dev Econ 81(1):163–192

    Article  Google Scholar 

  • De Mello L, Tiongson ER (2006) Income inequality and redistributive government spending. Publ Finance Rev 34(3):282–305

    Article  Google Scholar 

  • Dabla-Norris ME, Kochhar MK, Suphaphiphat MN, Ricka MF, Tsounta ME (2015) Causes and consequences of income inequality: a global perspective. Int Monetary Fund

    Google Scholar 

  • Diamond PA, Mirrlees JA (1971) Optimal taxation and public production I: production efficiency. Am Econom Rev 61(1):8–27

    Google Scholar 

  • Facchini F, Melki M, Pickering A (2017) Labour costs and the size of government. Oxford Bull Econ Stat 79(2):251–275

    Article  Google Scholar 

  • Frydman C, Saks RE (2010) Executive compensation: a new view from a long-term perspective, 1936–2005. Rev Financial Stud 23(5):2099–2138

    Article  Google Scholar 

  • Galbraith JK, Kum H (2005) Estimating the inequality of household incomes: a statistical approach to the creation of a dense and consistent global data set. Rev Income Wealth 51(1):115–143

    Article  Google Scholar 

  • Goldin C, Katz LF (2009) The race between education and technology. Harvard University Press, Cambridge MA

    Google Scholar 

  • Gordon R, Kalambokidis L, Slemrod J (2004) Do we now collect any revenue from taxing capital income? J Publ Econom 88(5):981–1009

    Article  Google Scholar 

  • Gordon RH, Slemrod J (1988) Do we collect any revenue from taxing capital income? Tax Policy and the Economy 2:89–130

    Article  Google Scholar 

  • Karabarbounis L, Neiman B (2014) The global decline of the labor share. Q J Econ 129(1):61–103

    Article  Google Scholar 

  • Kau JB, Rubin PH (2002) The growth of government: sources and limits. Public Choice 113(3):389–402

    Article  Google Scholar 

  • Kaymak B, Poschke M (2016) The evolution of wealth inequality over half a century: the role of taxes, transfers and technology. J Monetary Econ 77:1–25

    Article  Google Scholar 

  • Krusell P, Rios-Rull JV (1999) On the size of US government: political economy in the neoclassical growth model. Am Econom Rev 89(5):1156–1181

    Article  Google Scholar 

  • Meltzer AH, Richard SF (1981) A rational theory of the size of government. J Polit Econ 89(5):914–927

    Article  Google Scholar 

  • Muinelo-Gallo L, Roca-Sagalés O (2013) Joint determinants of fiscal policy, income inequality and economic growth. Econ Model 30:814–824

    Article  Google Scholar 

  • Perotti R (1996) Growth, income distribution, and democracy: what the data say. J Econ Growth 1(2):149–187

    Article  Google Scholar 

  • Persson M (1995) Why are taxes so high in egalitarian societies? Scandinavian J Econom 569–580

    Google Scholar 

  • Persson T, Tabellini G (2003) The economic effects of constitutions. MIT Press, Cambridge MA

    Book  Google Scholar 

  • Pickering A, Rockey J (2011) Ideology and the growth of government. Rev Econ Stat 93(3):907–919

    Article  Google Scholar 

  • Piketty T (2014) Capital in the twenty-first century. Harvard University Press, Cambridge MA

    Book  Google Scholar 

  • Piketty T, Saez E (2006) The evolution of top incomes: a historical and international perspective. Am Econ Rev 96(2):200–205

    Article  Google Scholar 

  • Ram R (1987) Wagner’s hypothesis in time-series and cross-section perspectives: Evidence from “real’’ data for 115 countries. Rev Econ Stat 69(2):194–204

    Article  Google Scholar 

  • Roberts KW (1977) Voting over income tax schedules. J Publ Econ 8(3):329–340

    Article  Google Scholar 

  • Rodriguez F (2004) Inequality, redistribution, and rent-seeking. Econ Politics 16(3):287–320

    Article  Google Scholar 

  • Rodrik D (1998) Why do more open economies have bigger governments? J Polit Econ 106(5):997–1032

    Article  Google Scholar 

  • Romer T (1975) Individual welfare, majority voting, and the properties of a linear income tax. Journal of Public Economics 4(2):163–185

    Article  Google Scholar 

  • Shelton CA (2007) The size and composition of government expenditure. J Public Econ 91(11–12):2230–2260

    Article  Google Scholar 

  • Winer SL, Tofias MW, Grofman B, Aldrich JH (2008) Trending economic factors and the structure of Congress in the growth of government, 1930–2002. Public Choice 135(3):415–448

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weijie Luo .

Appendix

Appendix

1.1 Derivation of Equations (2.12) and (2.13)

The problem of the median voter m is to choose the tax rate so as to maximize

$$\begin{aligned} u^{m}(c^{m},l^{m})=u^{m}\Big [\left( 1-t\right) x^{m}n^{m}+R^{m}+t\bar{y},1-n^{m}\Big ], \end{aligned}$$
(2.17)

and the first-order condition for the median voter with respect to the tax rate is

$$\begin{aligned} \left( \bar{y}-y^{m}+t\frac{d \bar{y}}{d t}\right) u_{c}+\Big [\left( 1-t\right) x^m u_{c}-u_{l}\Big ]\left( \frac{d n^{m}}{d t}\right) =0. \end{aligned}$$
(2.18)

Thus, making use of equation (2.3), the tax rate chosen by the median voter must satisfy

$$\begin{aligned} \bar{y}-y^{m}+t\left( \frac{d \bar{y}}{d t}\right) =0. \end{aligned}$$
(2.19)

Changes in the tax rate t affect average income via two channels: its effect on the opportunity cost of leisure, and its effect on transfers (from the government’s budget constraint \(r=t\bar{y}\)). In particular, we have that

$$\begin{aligned} \begin{aligned} \frac{d\bar{y}}{dt}&= \frac{\partial \bar{y}}{\partial r} \frac{dr}{dt}-\frac{\partial \bar{y}}{\partial {\tau }}, \\&= \frac{\partial \bar{y}}{\partial r} \left( \bar{y}+t\frac{d\bar{y}}{dt}\right) -\frac{\partial \bar{y}}{\partial {\tau }}. \end{aligned} \end{aligned}$$
(2.20)

with \(\tau =1-t\). Thus, the total derivative of average income with respect to changes in the tax rate is given by

$$\begin{aligned} \frac{d\bar{y}}{dt}=\frac{\bar{y}_r\bar{y}-\bar{y}_\tau }{1-t\bar{y}_r}<0, \end{aligned}$$
(2.21)

with \(\bar{y}_r=\frac{\partial \bar{y}}{\partial r}\) and \(\bar{y}_\tau =\frac{\partial \bar{y}}{\partial {\tau }}\).

Finally, making use of (2.21) to substitute in (2.19), we obtain

$$\begin{aligned} \begin{aligned} 0&= \bar{y}-y^{m}+t\left( \frac{\bar{y}_r\bar{y}-\bar{y}_\tau }{1-t\bar{y}_r}\right) ,\\&= \left( \bar{y}-y^{m}\right) \left( 1-t\right) +\left[ \frac{\eta _r\bar{y}\left( 1-t\right) -\eta _\tau \bar{y}t}{1-\eta _r}\right] , \end{aligned} \end{aligned}$$
(2.22)

where \(\eta _r=\bar{y}_r\left( r/\bar{y}\right) \) and \(\eta _\tau =\bar{y}_\tau \left( \tau /\bar{y}\right) \) are the partial elasticities of average income. Solving the above equation for t, yields

$$\begin{aligned} t=\frac{m-1+\eta _r}{m-1+\eta _r+m\eta _\tau }, \end{aligned}$$
(2.23)

with \(m=\bar{y}/y^m\).

1.2 Proof of Proposition 2.1

We begin with the following decomposition of average income

$$\begin{aligned} \bar{y}=p\left( \mathcal {K}\right) \bar{y}\left( \mathcal {K}\right) +\left( 1-p\left( \mathcal {K}\right) \right) \bar{y}\left( \sim \mathcal {K}\right) , \end{aligned}$$
(2.24)

where \(\bar{y}\left( \mathcal {K}\right) \) is the average income of the individuals in set \(\mathcal {K}\) and \(\bar{y}\left( \sim \mathcal {K}\right) \) is the average income of the individuals not in set \(\mathcal {K}\). From Assumption 2.2 we have that \(\bar{y}^{\mathcal {K}}>y^m\).

Taking the total derivative of \(\bar{y}\) with respect to \(R\left( \mathcal {K}\right) \), the capital income of the individuals in set \(\mathcal {K}\) in Eq. (2.24) we obtain

$$\begin{aligned} \begin{aligned} \frac{d\bar{y}}{dR\left( \mathcal {K}\right) }&= p\left( \mathcal {K}\right) \left( \frac{\partial \bar{y}\left( \mathcal {K}\right) }{\partial R\left( \mathcal {K}\right) }+\frac{\partial \bar{y}\left( \mathcal {K}\right) }{\partial r}\frac{d\bar{y}}{dR\left( \mathcal {K}\right) }t\right) +\left( 1-p\left( \mathcal {K}\right) \right) \left( \frac{\partial \bar{y}\left( \sim \mathcal {K}\right) }{\partial r}\frac{d\bar{y}}{dR\left( \mathcal {K}\right) }t\right) ,\\&= p\left( \mathcal {K}\right) \frac{\partial \bar{y}\left( \mathcal {K}\right) }{\partial R\left( \mathcal {K}\right) }+\frac{\partial \bar{y}}{\partial r}\frac{d\bar{y}}{dR\left( \mathcal {K}\right) }t,\\&= p\left( \mathcal {K}\right) \frac{\partial \bar{y}\left( \mathcal {K}\right) }{\partial R\left( \mathcal {K}\right) }+\eta _r\frac{d\bar{y}}{dR\left( \mathcal {K}\right) }, \end{aligned} \end{aligned}$$
(2.25)

where we used the fact that \(\eta _r=\frac{\partial \bar{y}}{\partial r}\frac{r}{\bar{y}}=\frac{\partial \bar{y}}{\partial r}\frac{t\bar{y}}{\bar{y}}=\frac{\partial \bar{y}}{\partial r}t\). Using (2.25) to solve for \(\frac{d\bar{y}}{dR\left( \mathcal {K}\right) }\), we obtain

$$\begin{aligned} \frac{d\bar{y}}{dR\left( \mathcal {K}\right) }=\frac{p\left( \mathcal {K}\right) }{1-\eta _r}\frac{\partial \bar{y}\left( \mathcal {K}\right) }{\partial R\left( \mathcal {K}\right) }<0, \end{aligned}$$
(2.26)

since leisure is a normal good. Thus, average income \(\bar{y}\) must fall.

In turn, we have that

$$\begin{aligned} \frac{d y^m}{dR\left( \mathcal {K}\right) }=\frac{\partial y^m}{\partial r}\frac{\partial \bar{y}}{\partial R\left( \mathcal {K}\right) } t>0. \end{aligned}$$
(2.27)

Thus, we have established that \(\bar{y}\) must fall and \(y^m\) must increase following an increase in the capital-income going to the top capital-income recipients. Therefore, \(m=\bar{y}/y^m\) falls and the increase in capital income inequality lowers labor income inequality. The upshot is that the increase in the capital income going to the top capital-income recipients results in a lower t, the labor income tax chosen by the median voter.

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Luo, W. (2023). Inequality and Government Size: A Political Economy Theory and OECD Evidence. In: Inequality, Demography and Fiscal Policy. Applied Economics and Policy Studies. Springer, Singapore. https://doi.org/10.1007/978-981-99-0518-8_2

Download citation

Publish with us

Policies and ethics

Navigation