Search

Copyright of Regional Science Policy & Practice is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper introduces a model in which greater inequality reduces growth in economies with low levels of financial development but that this effect is attenuated in economies with more developed systems. The model also predicts that individuals in economies with developed financial markets have a higher tolerance to inequality. Using a panel dataset that covers a large number of countries, this paper shows empirical evidence that is consistent with the main predictions of the model. Overall, this paper's major findings highlight that some of the pernicious effects of inequality can be attenuated by improving access to credit. [ABSTRACT FROM AUTHOR]

One potential consequence of rising top‐income concentration is borrowing by less‐affluent households attempting to maintain relative living standards. This paper evaluates the “keeping up with the Joneses” phenomenon, examining the responsiveness of payment‐to‐income ratios for different debt types across the income distribution to changes in income among affluent households. The analysis provides evidence for the responsiveness of debt to rising top incomes. Middle‐ and upper‐middle‐income households take on more housing‐related debt and have higher payments in places with higher top‐income levels. Among lower‐income households non‐mortgage borrowing and debt payments decline, consistent with restrictions in the supply of credit. (JEL D63, D14) [ABSTRACT FROM AUTHOR]

The objective of the paper is to verify if income inequality impedes the growth rates in OECD countries in the period of 1990–2014 and to reveal whether the choice of the income inequality measure determines the sign and the strength of the estimated relationship. We use system GMM to estimate parameters of a dynamic panel growth model. The research indicates that income inequality negatively affects economic growth. We also find evidence that various measures of inequality bring the different scale of consequences for economic growth, with measures that give more weight to the middle part of the distribution being the weakest predictor of GDP growth. Simultaneously, we present the test of weak instruments, which helps to explain these differences. [ABSTRACT FROM AUTHOR]

Copyright of Papers in Regional Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We build an overlapping generations model to analyse the evolution of inequality as an economy develops. Our model economy resembles a 'very capitalist society'. Initially, wealth is exclusively concentrated in a rich dynasty. We ask whether or not this type of capitalist economy contains a fundamental contradiction, as claimed by Piketty in his recent book. We derive a condition under which the economy is driven to a state of perpetual inequality. However, we also show that an economy where capital deepening triggers the development process is very unlikely to be absorbed in that state. [ABSTRACT FROM AUTHOR]

Political institutions are an essential component to explain income variation. Brazilian municipalities are characterized by a great contrast in the colonization process and its impacts on the current income level and distribution, and other development aspects. This study analyzes the spatial heterogeneity of the relationship between institutional quality and the municipalities' economic development. We use a spatial moving window method applied to weighted regressions—Geographically Weighted Regression (GWR). We find evidence that good institutions increase income and other variables related to economic development. In addition, the institutional quality influence on economic development measures is distinct across the Brazilian regions. [ABSTRACT FROM AUTHOR]

This article examines the evolving finance–inequality nexus during the process of economic transition. We estimate the varying marginal effects of financial depth on income inequality in every state of the transition process. Using China as an example of transition economies, we establish the causal effects of financial depth on urban income inequality and examine the estimation biases when the evolving relationship is not appropriately characterized. Along the transition process of the Chinese economy, we identify a robustly asymmetric and roughly inverted‐L shaped relationship between financial depth and urban inequality. We find that financial depth alone accounts for 11–28% of the overall variations of urban income inequality and the marginal impacts of financial depth change with the degree of credit constraint, the fraction of state ownership, and the level of economic development. [ABSTRACT FROM AUTHOR]

The development process and the demographic changes that are a central element of it explain both the nearly two centuries of increasing income inequality prior to 2000 and the reversal of this trend that followed. There are at least four phases of the development process: (1) Malthusian pre‐development, (2) initial growth, (3) improved productivity, and (4) receding growth. Prior to the industrial revolution, the entire world was in the Malthusian Phase 1. During 1820–1950, about 20 countries, mostly in Western Europe, North America, and Oceania, moved out of Phase 1 and began to grow more rapidly. But, per capita income levels in the rest of the world continued to stagnate and worldwide income inequality widened continuously for at least 150 years following the Industrial Revolution. Around 1960, developing countries began to escape the Malthusian trap and move into Phase 2 of development. By the latter part of the 20th century, many developing countries were achieving growth rates equal to or greater than the high‐income countries, slowing the rise in inequality. By 2000–2015 most developing countries were in either Phases 2 or 3 of development, while most of the high‐income countries were moving into Phase 4, leading to a sharp reduction in worldwide income inequality. The recent reductions in worldwide income inequality are likely to continue in the near term because of the continuation of the more favorable demographic changes in developing compared to high‐income countries. [ABSTRACT FROM AUTHOR]

What is the relationship between the economy's long‐run growth rate, its capital‐income ratio, and its factor income distribution? A satisfactory answer requires an endogenous growth and savings rate. We scrutinize Piketty's (2014) theory in a richly parameterized variant of Romer's (1990) seminal model with and without population growth. The economy's growth and savings rate are exogenous in Piketty's theory and endogenous in Romer's. In contrast to Piketty's Second Fundamental Law of Capitalism a smaller growth rate may be associated with a smaller capital‐income ratio. Moreover, it may go together with a greater or a smaller capital share. [ABSTRACT FROM AUTHOR]

Knowledge of the determinants of self‐employment income is critical to entrepreneurial development strategies if the development goal is to increase incomes not just employment. Using American Community Survey data, unconditional quantile regression is used to investigate differences in the relationship between entrepreneurial income and an array of individual, industry, and regional characteristics across the self‐employment income distribution. Personal attributes, such as education, race, age, and gender, both explain differences in self‐employment income and vary in importance across the income distribution. Regional agglomerative effects are significantly positive and stronger at the upper end of the self‐employed income distribution. [ABSTRACT FROM AUTHOR]

We investigate the relationship between economic growth and top income inequality under the influence of human and physical capital accumulation, using an annual panel of U.S. state-level data. Our analysis is based upon the 'unified' framework offered by Galor and Moav (2004) while the empirics account for cross-section dependence, parameter heterogeneity, and endogeneity, in nonstationary series. We conclude that changes in inequality do not influence growth, neither in the short run nor in the long run in the United States as a whole in the 1929-2013 period. Our findings are robust to the inclusion of overall income inequality measures. These findings provide support for the theoretical prediction of the unified theory of inequality and growth, according to which the growth effect of inequality becomes insignificant in the latest stages of economic development that the United States experiences during our period of investigation. Therefore, future policies aiming at moderating the concentration at the upper end of income distribution are not likely to have adverse growth consequences in developed countries such as the United States. ( JEL I21, O47, C23) [ABSTRACT FROM AUTHOR]

This article studies the joint effect of political and economic inequalities on redistributive taxation and institutional quality. The theoretical model suggests that income inequality, coupled with political bias in favor of the rich, decreases redistribution and lowers institutional quality. The effect of the former is to increase productive investment, and the effect of the latter is to decrease it-with resulting ambiguous implications for economic growth. Testing these predictions empirically in a panel of countries, we find that inequality has a negative effect on both institutional quality and redistribution. [ABSTRACT FROM AUTHOR]

We estimate the causal link from income inequality to generalized trust by reconsidering the country-level evidence on this issue. First, we exploit the panel dimension of the data, thus controlling for any country unobservable time-invariant variables, and find a negative relationship between the two variables that holds only for developed countries. Second, we focus on these advanced economies and provide instrumental variable estimates using the predicted exposure to technological change as an exogenous driver of inequality. According to our findings, the negative causal effect of inequality on trust is even larger than that coming from ordinary least squares estimation. We also provide new insights on the effects of different dimensions of inequality, exploiting measures of both static inequality-such as the Gini index and top income shares-and dynamic inequality-proxied by intergenerational income mobility. ( JEL D31, O15, Z13) [ABSTRACT FROM AUTHOR]

Despite vibrant economic growth, the Philippines confronts persistently high income inequality. Using household-level panel data collected for the years 2003, 2006 and 2009, we investigate how income segmentation affects Filipinos' income mobility prospects. The results of the multinomial logistic models suggest that if households are grouped according to initial income (in 2003), richer households had the lowest propensity to experience slow to moderate income changes and were most likely to experience consistently downward mobility from 2003 to 2009, while initially poorer households had the highest propensity to experience consistently upward mobility. On the other hand, if households are grouped according to permanent income, we still find that lower income households experienced (slightly) better income mobility outcomes; however, their edge over higher income households was much smaller than when initial income was used. This result could indicate that convergence on the basis of initial income may be in part random variation. The findings are robust to heuristic and model-based methods of grouping households into different income segments. [ABSTRACT FROM AUTHOR]

In academic economics, inequality has received little attention in recent decades, although popular concerns about the super-rich have grown. The World Top Incomes Database provides evidence of the rise of the super-rich in many countries since 1980. Thomas Piketty has publicised the new data, predicting increases in inequality due to the return to capital exceeding the rate of economic growth and advocating policies to counter such increases by high taxes on the income and wealth of the super-rich. This article asks why inequality has been a neglected topic, assesses empirical contributions and Piketty' s model and discusses implications for evidence-based policies. [ABSTRACT FROM AUTHOR]