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Erschienen in: Quality & Quantity 3/2022

28.05.2021

The role of financial development in the relationship between income inequality and economic growth: an empirical approach using cross-country panel data

verfasst von: Toni Juuti

Erschienen in: Quality & Quantity | Ausgabe 3/2022

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Abstract

The study complements the existing literature on the role of credit constraints in the interplay between income inequality and economic growth. The question “what type of financial development matters for inequality-growth relationship” is answered empirically by adopting a multi-dimensional index of financial development. The analysis covers 35 OECD member countries and 34 non-OECD economies starting from the year 1980 with varying coverage across countries. The results of the panel estimation techniques suggest that in the non-OECD countries, income inequality is positively associated with subsequent growth of per capita GDP under sufficiently developed financial markets. If the markets are poorly developed, the partial correlation between inequality and growth is statistically insignificant. For OECD countries, the association seems to be non-existent although weak evidence for growth-dampening inequality is found if both the level of inequality is high and the financial markets are highly developed. The results imply that promoting the development of financial markets – rather than institutions – may alleviate the adverse effects of income inequality on economic growth in under-developed countries.

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Fußnoten
1
For a comprehensive review, see Neves et al. (2016), whose meta-analysis suggests that the literature suffers from publication bias: statistically significant results are more willingly reported and published following a predictable time pattern with cyclically alternating positive and negative reduced-form estimates. Their results also suggest that the estimation technique, data quality and the specification choice for the growth regression are not significant drivers of the varying estimates. Rather, cross-sectional analyses tend to find a stronger negative association than panel studies, the negative association is stronger in less developed countries, the inclusion of regional dummies soak up much of the previous finding and the concept of inequality significantly affects the results.
 
2
See Fig. 1 in Svirydzenka (2016) for the original artwork.
 
3
The Organisation for Economic Co-operation and Development (OECD), The EU-Statistics on Income and Living Conditions (EU-SILC), The Luxembourg Income Study (LIS), The World Bank, The Socio-Economic Database for Latin America and the Caribbean (SEDLAC), national statistical offices and independent research papers.
 
4
Investment to GDP (Feenstra et al. 2015), average years of schooling to GDP (Barro and Lee 2013), the quality of political institutions (Marshall et al. 2002), trade volume to GDP (Feenstra et al. 2015) and debt to GDP (Lane and Milesi-Ferretti 2007).
 
5
As a robustness check, a widely-used system GMM estimator is also used. The properties of this panel estimation technique are briefly discussed in the next section when the results of the empirical analysis are presented.
 
6
Six of the 34 countries are always above the cut-off, 13 are both over and under during the observation period while 15 are always under.
 
7
In the set of countries of this study, the country-specific correlations between the Gini coefficient and the top income shares are on average above 0.97 when the five-year non-overlapping windows are considered. Although the correlations show cross-country variation, the OECD and non-OECD sub-samples share similar characteristics. Similarly to the Gini coefficient, the WIID serves as the source of data for the top income shares. Previously, Leigh (2007) studied the top incomes and broader measures of income inequality, such as the Gini, and found that the former track the latter closely.
 
8
For the preceding work on GMM, see Hansen (1982), Holtz-Eakin et al. (1988) and Arellano and Bond (1991).
 
9
For simpler estimators, the \(nR^2\) test developed by White (1980) together with the approach introduced by Breusch and Pagan (1979) is informative, whereas for GMM, the \(nR^2\) statistic does not have the desired statistical properties (Hayashi 2000, p. 234). However, White (1982) notes that when the errors are symmetric, \(nR^2\) is biased towards the rejection of the null hypothesis of conditional homoskedasticity. Hence, under symmetricity, the failure to reject the null is useful evidence in favor of the correctness of the specification. In practice, the test is constructed by regressing the squared residuals on a constant and second-order cross products of the instrumental variables.
 
11
The SWIID is based on the WIID, supplemented by other sources and all observations come from its imputation model. See Section 2 for further discussion.
 
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Metadaten
Titel
The role of financial development in the relationship between income inequality and economic growth: an empirical approach using cross-country panel data
verfasst von
Toni Juuti
Publikationsdatum
28.05.2021
Verlag
Springer Netherlands
Erschienen in
Quality & Quantity / Ausgabe 3/2022
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-021-01163-1

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