The Shape of the Income Distribution and Economic Growth – Evidence from Swedish Labor Market Regions

We analyze the association between income inequality and economic growth using 72 labor market regions in Sweden during the period of 1990–2006. Compared with studies of cross‐country data, the regional set‐up reduces problems with omitted variable bias and endogeneity as regions within a country share the same redistributive policies and institutions. Using population register data, highly accurate measures of growth and inequality (gini, Q3, p9075, p5010) are derived. OLS cross‐section and panel estimates imply that inequality between the 90 and 75th percentiles enhances regional growth and that the share of income falling to the third quintile reduces growth. These results no longer hold when we apply regions specific fixed effects and/or system GMM.     

Comparison of SML and GMM estimators for the random coefficient logit model using aggregate data

A simulated maximum likelihood (SML) estimator for the random coefficient logit model using aggregate data is found to be more efficient than the widely used generalized method of moments estimator (GMM) of Berry et?al. (Econometrica 63:841?C890, 1995). In particular, the SML estimator is better than the GMM estimator in recovery of heterogeneity parameters which are often of central interest in marketing research. With the GMM estimator, the analyst must determine what moment conditions to use for parameter identification, especially the heterogeneity parameters. With the SML estimator, the moment conditions are automatically determined as the gradients of the log-likelihood function, and these are the most efficient ones if the model is correctly specified. Another limitation of the GMM estimator is that the product market shares must be strictly positive while the SML estimator can handle zero market share observations. Properties of the SML and GMM estimators are demonstrated in simulated data and in data from the US photographic film market.     

中国金融发展与收入分配、贫困关系的经验分析——基于动态面板数据的研究

本文利用2001—2007年中国省际面板数据,运用系统的广义矩(GMM)估计方法,研究金融发展对收入分配和贫困的影响。结果发现,中国的金融发展更有利于贫困家庭收入水平的提高,减少收入分配不平等。贫困家庭的收入增长大约有31%可以归因于金融发展的收入分配效应,而剩下的69%是由于金融发展的增长效应所致。另外,没有证据表明金融发展与收入分配存在倒U型关系。在非农产业比重高的省份,金融发展会加剧贫富差距。     

POLICY UNCERTAINTY,ELECTORAL SECURITIES,AND REDISTRIBUTION*

This article investigates how uncertainty about the adoption of a redistribution policy affects political support for redistribution when individuals can trade policy‐contingent securities in the stock market. In equilibrium the support for redistribution is smaller than where no “policy‐insurance market” is available. This implies that in economies with well‐developed financial markets redistribution decreases with the level of participation in these markets and with income inequality. Furthermore, the existence of a policy‐insurance market may lead to a less equal distribution of income than where no insurance is available even if a majority of individuals are redistributing resources through private transfers.     

我国居民收入不平等的主要原因：市场还是政府政策？

市场因素和政府收入再分配政策是决定一国居民收入不平等程度的两个重要因素。本文采用中国家庭收入调查（China Household Income Project ,CHIP）住户数据,计算出我国居民市场收入基尼系数与可支配收入基尼系数,并同发达国家进行比较,借此探讨目前我国居民收入不平等是由市场力量造成的,还是政府收入再分配政策力度不足的结果。研究发现,从市场收入基尼系数来看,我国与发达国家之间的差距并不大。由此认为,政府收入再分配政策效果不明显是导致我国居民收入分配不平等状况较发达国家严重的主要原因。加大转移支付等再分配政策力度是缓解和改善目前我国居民收入不平等的主要途径。     

Redistribution,inequality, and growth: new evidence

We investigate the relationship between inequality, redistribution, and growth using a recently-compiled dataset that distinguishes clearly between market (pre-tax and transfer) and net (post tax and transfer) inequality, and allows us to calculate redistributive transfers for a large number of advanced and developing countries. Across a variety of estimation methods, data samples, and robustness checks, we find: (1) lower net inequality is robustly correlated with faster and more durable growth, controlling for the level of redistribution; (2) redistribution appears benign in terms of its impact on growth, except when it is extensive; and (3) inequality seems to affect growth through human capital accumulation and fertility channels.     

Wealth inequality,governance and economic growth

Links between economic growth and inequality are of growing interest for researchers and policy makers. Previous studies of this relationship have focused mainly on inequalities in income rather than in wealth. Yet from many perspectives wealth inequality is arguably more important. Using a new panel data set from Credit Suisse for 45 sample countries over the period 2000–2012, this study investigates the effects of wealth inequality on economic growth. Empirical results from system GMM estimation suggest that the wealth inequality is negatively associated with cross-country economic growth. This result is robust to alternative estimators and measures of wealth inequality, as well as the econometric specification. Further empirical investigation reveals that impact of wealth inequality on growth is mitigated by better governance.     

Persistence and determinants of income inequality: The Brazilian case

Latin America, which is a region known for its high and persistent income inequality levels, experienced a significant decline in income inequality since the second half of the 1990s. Brazil is a particularly interesting case in Latin America. While the country presented notable economic growth and improvements in income distribution in the early 2000s, Brazil continues to experience high levels of income inequality in comparison with other Latin American or advanced economies. This research contributes to the literature by examining the key drivers of income distribution and the degree of persistence of income inequality among Brazilian states. This research also improves upon previous works by using more recent and comprehensive data and addressing concerns regarding heterogeneity and endogeneity by using the system GMM estimation method. Our findings show that income inequality is highly persistent across Brazilian states and that government policies including income transfer programs made important contributions to reduce income inequality in Brazil. This study also shows that the decline in labor income ratios between different ethnic groups and the increase of the share of formal jobs in the labor market contributed to reduce income inequality.     

Misperceiving inequality

A vast literature suggests that economic inequality has important consequences for politics and public policy. Higher inequality is thought to increase demand for income redistribution in democracies and to discourage democratization and promote class conflict and revolution in dictatorships. Most such arguments crucially assume that ordinary people know how high inequality is, how it has been changing, and where they fit in the income distribution. Using a variety of large, cross‐national surveys, we show that, in recent years, ordinary people have had little idea about such things. What they think they know is often wrong. Widespread ignorance and misperceptions emerge robustly, regardless of data source, operationalization, and measurement method. Moreover, perceived inequality—not the actual level—correlates strongly with demand for redistribution and reported conflict between rich and poor. We suggest that most theories about political effects of inequality need to be reframed as theories about effects of perceived inequality.     

Moment Estimation of the Probit Model with an Endogenous Continuous Regressor

We propose a generalized method of moments (GMM) estimator with optimal instruments for a probit model that includes a continuous endogenous regressor. This GMM estimator incorporates the probit error and the heteroscedasticity of the error term in the first‐stage equation in order to construct the optimal instruments. The estimator estimates the structural equation and the first‐stage equation jointly and, based on this joint moment condition, is efficient within the class of GMM estimators. To estimate the heteroscedasticity of the error term of the first‐stage equation, we use the k‐nearest neighbour (k‐nn) non‐parametric estimation procedure. Our Monte Carlo simulation shows that in the presence of heteroscedasticity and endogeneity, our GMM estimator outperforms the two‐stage conditional maximum likelihood estimator. Our results suggest that in the presence of heteroscedasticity in the first‐stage equation, the proposed GMM estimator with optimal instruments is a useful option for researchers.     

Income Taxation and the Diversity of Consumer Goods: A Political Economy Approach*

After‐tax income inequality has risen since the mid‐1990s, as increases in market income inequality have not been offset by greater fiscal redistribution. We argue that the substantial increase in the diversity of consumer goods has mitigated mounting political pressures for redistribution. Within a probabilistic voting framework, we demonstrate that if the share of diversified goods in the consumption bundle increases sufficiently with income, then an increase in goods diversity can reduce the political equilibrium tax rate. Focusing on OECD countries, we find empirical support for both the model's micro‐political foundations and the implied relation between goods diversity and fiscal policy outcomes.     

A refinement of the relationship between economic growth and income inequality

There is mixed evidence in the literature of a clear relationship between income inequality and economic growth. Most of that work has focused almost exclusively on developed economies. In what we believe to be a first effort, our emphasis is solely on developing economics, which we classify as high-income and low-income developing countries (HIDC and LIDC). We make such distinction on theoretical and empirical grounds. Empirically, the World Bank has classified developing economies in this manner since 1978. The data in our sample are also supportive of such classifications. We provide theoretical scaffolding that uses asymmetric credit constraints as a premise for separating developing economies in such a way. We find strong evidence of a negative relationship between income inequality and economic growth in LIDC to be in stark contrast with a positive inequality–growth relationship for HIDC. Both correlations are statistically significant across multiple econometric specifications. Using international data from 1960 to 2010, this article explores the effect of income inequality on economic growth using dynamic panel technique, such as system generalized method of moments (GMM) that is believed to mitigate endogenous problem. These results are strikingly contrasting to the previous estimation results of Forbes (2000) displaying significant positive correlation between two variables in the short to medium term.     

Do dictatorships redistribute more?

This paper examines the effect of political institutions on fiscal redistribution for a country-level panel from 1960–2010. Using data on Gini coefficients before and after government intervention, we apply a measure of effective fiscal redistribution that reflects the effect of taxes and transfers on income inequality. Our findings clearly indicate that non-democratic regimes demonstrate significantly greater direct fiscal redistribution. Subsequently, we employ fiscal data in an attempt to enlighten this puzzling empirical finding. We find that dictatorial regimes rely more heavily on cash transfers that exhibit a direct impact on net inequality and consequently on the difference between market and net inequality (i.e., effective fiscal redistribution), whereas democratic regimes devote a larger amount of resources to public inputs (health and education) that may influence market inequality but not the difference between market and net inequality per se. We argue that the driving force behind the observed differences within the pattern on government spending and effective fiscal redistribution is that democratic institutions lead survival-oriented leaders to care more for the private market, and thus to follow policies that enhance the productivity of the whole economy.     

IDIOSYNCRATIC AND AGGREGATE RISKS,INEQUALITY AND GROWTH

The paper disaggregates productivity shocks at a firm level into idiosyncratic and aggregate risks, and studies their impacts on inequality, growth and welfare. It develops a growth model with human capital and incomplete insurance and credit markets that provides a closed‐form solution for income inequality dynamics. We find that uninsured idiosyncratic risks are the most important determinants of inequality, growth and welfare. They are the source of nondegenerate wealth distribution. A lower weight of these shocks leads to lower steady‐state inequality, higher growth and welfare. A redistribution of income that serves as social insurance against such risks increases welfare and decreases inequality. But, it also decreases growth by distorting individual consumption and saving decisions.     

A META‐ANALYSIS ON THE RELATIONSHIP BETWEEN INCOME INEQUALITY AND ECONOMIC GROWTH

In recent years there is a growing interest in determining the impact of inequality on economic growth. Theoretical papers as well as empirical applications have, however, produced controversial results. Although there is a considerable part of the literature that considers inequality detrimental to growth, more recent studies have challenged this result and found a positive effect of inequality on growth. In this paper, we provide a contribution to the empirical puzzle by using meta‐analysis to systematically describe, identify and analyse the variation in outcomes of empirical studies. We find that estimation methods, data quality and sample coverage systematically affect the results. The results point out that it will be particularly useful to increasingly focus research on determining the impact of income inequality on economic growth using single‐country data at the regional level, or a relatively homogeneous set of countries with adequate controls for country‐wide differences in economic, social and institutional characteristics.     

Poverty Reduction through Growth and Redistribution Policies—a Panel Analysis for 59 Developing Countries

In this paper, we empirically test the determinants of growth, as derived from a semi‐endogenous growth model, in terms of its poverty‐reducing effects. We base our empirical analysis of the growth and distribution effect of economic policies on a panel data set of 59 developing countries, divided into two subgroups, and a sample period ranging from 1960 to 2004. For purposes of estimation we make use of the generalized methods of moments (GMM) system estimator. The estimations reveal a poverty‐reducing effect of investment. In contrast population growth induces higher poverty. The import of knowledge is growth enhancing only for countries at a higher stage of development—meanwhile the positive growth effect of an increasing democratization is limited to the poor developing countries.     

Income Inequality and Economic Growth: Evidence from American Data

While most cross-country studies find a negative relationship between income inequality and economic growth, studies that use panel data suggest the presence of a positive relationship between inequality and growth. This paper uses a cross-state panel for the United States to assess the relationship between inequality and growth. Using both standard fixed effects and GMM estimations, this paper does not find evidence of a positive relationship between inequality and growth but finds some evidence in support of a negative relationship between inequality and growth. The paper, however, shows that the relationship between inequality and growth is not robust and that small differences in the method used to measure inequality can result in large differences in the estimated relationship between inequality and growth.     

When a Door Closes,a Window Opens? Long‐Term Labor Market Effects of Involuntary Separations

This study estimates the earning losses of workers experiencing an involuntary job separation. We employ, for the first time in the earning losses literature, a Poisson pseudo‐maximum‐likelihood estimator with fixed effects that has several advantages with respect to conventional fixed effects models. The Poisson estimator allows considering the full set of involuntary separations, including those with zero labor market earnings because of unemployment. By including individuals with zero earnings and by using our new method, the loss in the year of separation becomes larger than in previous studies. The loss starts with roughly 30% and, although it quickly shrinks, it remains at around 15% in the following years. In addition, we find that compared to other reasons for separation, the earning loss pattern is unique for involuntary separations, because no other type of separation implies such permanent scarring. This latter finding makes us confident that the self‐reported involuntariness of a separation is a reliable source of information.     

A Poverty Trap of Crime and Unemployment

We present an overlapping generation growth model with an imperfect labor market where the links among crime, growth and unemployment are jointly considered, both in an endogenous and exogenous set‐up. We test the major implications of our theory and verify the two model specifications through the Italian regional data, using the Pooled Mean Group estimator proposed by Pesaran, Shin and Smith (1999 ). The empirical results are in favor of the exogenous version of the model and suggest that crime and unemployment have long‐run income level effects.