Market Transition and Income Inequality in Urban China： Evidence from Shapley Value Decomposition

China＇s market-oriented reform is expected to strengthen the role of the market in allocating resources, which raises concerns over the impact of market transformation on income distribution and earnings inequality in the past decades. This paper decomposes the sources of inequality based on the newly developed Shapley value approach and examines the contributions of the market, along with other nonmarket factors, to total inequality. Using the China Health and Nutrition Survey data over the period 1989-2009, we find that the income gap between laborers with a higher level of education and those with a lower level has widened since the transformational reforms of the economy. Our results suggest that the largest contribution of changes in income inequality can be attributed to the increase in returns to education, while the relative contributions of the household registration （hukou） system, type of sector ownership, geographic location, and gender to inequality experienced a downward trend between 1989 and 2009. The authors argue that rising income inequality is the consequence of efficiency improvements and an imperfect economic system, and that the market is a decisive force in economic development as it releases competitive signals and creates incentive mechanisms for innovation. Creating a more efficient labor market and increasing investment in human capital, particularly equalizing educational opportunities and improving the quality of education in lagging rural and inland regions to disadvantaged groups, are significant for an equitable distribution of income and sustainable development in the long run.     

The Evolution of Income Composition Inequality in Italy, 1989–2016

We study the evolution of inequality in income composition in terms of capital and labor income in Italy between 1989 and 2016. We document a rise in the share of capital income accruing to the bottom of the distribution, while the top of the distribution increases its share of labor income. This implies a falling degree of income composition inequality in the period considered and a weaker relationship between the functional and personal distribution of income in Italy. This result is robust to various specifications of self-employment income; nonetheless, it hinges crucially on the treatment of rental incomes. While the dynamics of imputed rents has brought about a more equitable distribution of capital incomes across the income distribution, that of actual rents has led to higher concentration of capital incomes at the top in the decade preceding the outbreak of the financial crisis. Finally, we conceptualize a rule of thumb for policy makers seeking to reduce income inequality in the long run.     

Wealth Inequality in Sweden: What can we Learn from Capitalized Income Tax Data?

This paper presents new estimates of wealth inequality in Sweden during 2000–2012, linking wealth register data up to 2007 and individually capitalized wealth based on income and property tax registers for the period thereafter when a repeal of the wealth tax stopped the collection of individual wealth statistics. We find that wealth inequality increased after 2007 and that more unequal bank holdings and housing appear to be important drivers. We also evaluate the performance of the capitalization method by contrasting its estimates and their dispersion with observed stocks in register data up to 2007. The goodness‐of‐fit varies tremendously across assets and we conclude that although capitalized wealth estimates may well approximate overall inequality levels and trends, they are highly sensitive to assumptions and the quality of the underlying data sources.     

Who Supports Redistribution? Subjective Income Inequality in Japan and China

Governments reduce income inequality with redistribution policies. These policies are often contentious because people who live in the same country have different preferences for redistribution. Some prefer the government to do more while others prefer the government to do less. Hence what explains the difference in preferences? Using the methodologically suitable cases of Japan and China, this paper contributes to the redistributive preference literature by proposing an alternative theory of how a person's subjective evaluation of and experiences with income inequality—subjective income inequality—affect his/her redistributive preferences. Specifically, a person who feels that his/her country's level of income inequality is too high is more likely to support government redistribution. But contrary to extant studies, this paper finds that a spatial locality's level of objective income inequality does not systematically affect its citizens' preference for redistribution. This finding has implications for redistribution policies because government policies in Japan and China—as with other countries—narrowly frame income inequality in the objective dimensions by pegging it to objective income inequality indices(e.g., Gini ratio), thereby ignoring the more important subjective dimensions of income inequality.     

ITQs,Firm Dynamics and Wealth Distribution: Does Full Tradability Increase Inequality?

Concerns over the re-distributive effects of individual transferable quotas (ITQ’s) have led to restrictions on their tradability. We consider a general equilibrium model with firm dynamics to evaluate the redistributive impact of changing the tradability of ITQs. A change in tradability would happen, for example, if permits are allowed to be traded as a separate asset from ownership of an active firm. If the property right is associated with ownership of an active firm, the permit can be leased in each period but it is not possible to exit the industry and keep the right. However, allowing the permits to be traded as a separate asset has two effects. First, it leads to a greater concentration of production in the industry. Second, it directly converts a non-tradable asset into a tradable one, and this is equivalent to giving a lump sum transfer to all firms. The first effect implies a concentration in revenues, while the second implies a redistribution of wealth. We calibrate our model to match the observed increase in revenue inequality in the Northeast Multispecies (Groundfish) U.S. Fishery. We show that although observed revenue inequality—measured by the Gini coefficient—increases by 12 %, wealth inequality is reduced by 40 %.     

Can Income Inequality be Affected by the Interaction Between ICTs and Human Capital?: The Evidence from Developing Countries

Income inequality in developing countries remains a major concern. It has been established that higher inequality makes a greater proportion of the population vulnerable to poverty. This paper aimed to analyse the effect of the interaction between ICTs and human capital on income inequality in developing countries. Covering 89 developing countries for the period 2000 to 2015 and based on panel fixed effects instrumental variables technique, this study finds that the interaction between ICTs and human capital reduces overall income inequality on the one hand, and on the other, leads to an increase in the income shares of the poorest, and in particular relative to the richest in developing countries. Furthermore, the interaction between ICTs and human capital reinforces the impact of ICTs on income inequality in developing countries. These results suggest that prioritizing the acquisition of human capital by the poorest, as well as promoting access to and use of ICTs for the benefit of the poorest would significantly contribute to reduce overall income inequality and increase income shares of the poorest in developing countries.

     

How Do Factor Specificity and Emigration Make Income Inequality Worse in Developing Countries?

Journal of Quantitative Economics - Immigration policies in most developed countries are increasingly tilted toward skilled labor. Whether such policies hurt the sending countries is somewhat...     

Changes in Employment and Hours,and Family Income Inequality in the United.States, 1969–1989

This paper estimates how much changes in employment and hours worked for family heads and spouses contributed to the rise in the family income inequality between 1969 and 1989. Change in labor market activity of family heads accounts for half of the increase in the income gap between the top and bottom 10th families. The effect of change in work effort on the income inequality is considerably weaker where four-fifths of families in the middle of income distribution are considered. This result is robust to changes in the selection of the population. The rise in the inequality of labor market activity occurred largely within families headed by prime-age men. The rise in the percentage of families headed by female and the decline in employment rate for older family heads are relatively minor factors. [J2, E2, N3]     

Why has Income Inequality in Germany Increased From 2002 to 2011? A Behavioral Microsimulation Decomposition

This paper proposes a method to decompose changes in income inequality into the contributions of policy changes, wage rate changes, and population changes while considering labor supply reactions. Using data from the Socio‐Economic Panel (SOEP), this method is applied to decompose the increase in income inequality in Germany from 2002 to 2011, a period that saw tax reductions and a controversial overhaul of the transfer system. The simulations show that tax and transfer reforms have had an inequality‐reducing effect as measured by the mean log deviation and the Gini coefficient. For the Gini, these effects are offset by labor supply reactions. In contrast, policy changes explain part of the increase in the ratio between the 90th and the 50th income percentiles. Changes in wage rates have led to a decrease in income inequality. Thus, the increase in inequality was due to changes in the population.     

Inequality and growth: What comes from the different inequality measures?

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.     

Top Incomes in Chile: A Historical Perspective on Income Inequality, 1964–2017

We present a novel series of Chilean top-income shares covering half a century, mainly based on income-tax declarations and the National Accounts. Such a time frame of analysis is still rare in the literature of developing countries. We distinguish between a fiscal-income series (1964–2017) and an adjusted series (1990–2017). The former covers individual income, while the latter also includes corporate undistributed profits, which affects both levels and trends. The fiscal-income estimates start with low levels and a decreasing trend over the 1960s. They then increase rapidly during the dictatorship years (1973–89). The series ends with a high, yet slowly decreasing, concentration for most of the recent democratic period (1990–2017). By contrast, the adjusted series has followed a U-shape since the return of democracy, contradicting the established consensus on falling inequality over the period. Furthermore, Chile ranks among the most unequal countries in both the OECD and Latin American countries over the period.     

Banking Market Structure and Macroeconomic Stability: Are Low‐Income Countries Special?

Does the structure of banking markets affect macroeconomic volatility and, if yes, is this link different in low‐income countries? In this paper, we explore the channels through which the structure of banking markets affects macroeconomic volatility. Our research has three main findings. First, we study whether idiosyncratic volatility at the bank level can impact aggregate volatility. We find weak evidence for a link between granular banking sector volatility and macroeconomic fluctuations. Second, a higher share of domestic credit to GDP coincides with higher volatility in the short run. Third, a higher level of cross‐border asset holdings increases volatility in low‐income countries.     

Income–happiness paradox in Australia: Testing the theories of adaptation and social comparison

This paper investigates whether the theories of adaptation and social comparison can explain the income–happiness puzzle (Easterlin Paradox) in Australia. Alternative specifications of happiness model that incorporate adaption, comparison incomes and other relevant variables are estimated using the panel data from the five waves (2001–2005) of the Household Income and Labour Dynamics in Australia (HILDA) surveys. The statistical tests provide no support for the adaptation effect on happiness. However, we find strong support for the theory of social comparison as an explanation for the happiness paradox. An increase in peer group income hurts the poor more than the rich, suggesting that a redistribution of income is likely to enhance the overall wellbeing of society. A sensitivity analysis is conducted to check the robustness of results.     

Indian Income Inequality, 1922‐2015: From British Raj to Billionaire Raj?

We combine household surveys and national accounts, as well as recently released tax data to track the dynamics of Indian income inequality from 1922 to 2015. According to our benchmark estimates, the top 1 percent of earners captured less than 21 percent of total income in the late 1930s, before dropping to 6 percent in the early 1980s and rising to 22 percent in the recent period. Our results appear to be robust to a range of alternative assumptions seeking to address numerous data limitations. These findings suggest that much more can be done to promote inclusive growth in India. We also stress the need for more transparency on income and wealth statistics, which is key to allow an informed democratic debate on inequality.     

CO2 Emissions and Income Dynamics: What Does the Global Evidence Tell Us?

This paper analyzes the co-evolution of two major determinants of social welfare, namely, income and carbon emissions. In particular, by using a distribution dynamics approach based on Markov chains, we investigate the shape and behavior of the joint distribution of per-capita income and carbon dioxide emissions. We arrive at several interesting conclusions, especially in the context of international negotiations on climate change. First, evidence does not support theoretical models predicting the existence of a poverty-environment trap. Specifically, in the long-run two main groups of countries will emerge: poor versus polluting countries. Second, the typical development path leads initially to high emission levels and, subsequently, to high income. Third, the convergence process towards the stationary distribution is very slow. Finally, for carbon emissions, whenever it is observed, the environmental Kuznets curve seems to be only a transitory phenomenon.     

Exchange Rate Regimes,Foreign Exchange Volatility,and Export Performance in Central and Eastern Europe: Just another Blur Project?

The authors attempt to analyze the direct impact of exchange rate volatility on the export performance of ten Central and Eastern European transition economies, as well as its indirect impact via changes in exchange rate regimes. Not only aggregate but also bilateral and sectoral export flows are studied. To this end, the authors first analyze shifts in exchange rate volatility linked to changes in the exchange rate regimes and, second, they use these changes to construct the dummy variables that they include in their export function. The results suggest that the size and the direction of the impact of forex volatility and of regime changes on exports vary considerably across sectors and countries and that they may be related to specific periods.     

Capital Flows and Exchange Rate Volatility in India: How Crucial Are Reserves?

This paper tests if the adequacy of reserves helps reduce exchange rate volatility in an environment of financial globalization, market‐determined exchange rate and macroeconomic imbalances. It exploits the difference in the period after 2010 when India did not accumulate reserves but faced higher capital flow pressures, relative to a previous managed‐float period marked by significant absorption of surplus capital flows. Along with other determinants, the sensitivity of rupee volatility is examined. The paper finds that adequate reserve holdings significantly reduce exchange rate volatility irrespective of the exchange rate regime; the effect is more through influence upon market sentiment and confidence than actual intervention. It contributes to existing evidence on the role of reserves in mitigating exchange rate volatility amid capital flow swings and offers insights into the policy environment depicted in the trilemma.     

Possibility of a Middle Income Trap in China： Assessment in Terms of the Literature on Innovation,Big Business and Inequality

This paper discusses the possibility of China falling into the so-called middle income trap in terms of three checkpoints： innovation capability, world-class big businesses, and inequality. Based on these criteria, our conclusions are as follows： First, China has increasingly become innovative and thus differs from other middle income countries. Second, China has many successful big businesses, a number disproportionate to its size. Thus, China differs from other middle income countries with few world-class big businesses, and the only qualification is that those big businesses are mostly non- manufacturing firms focused on such areas as finance, energy, and trading. Third, China faces great uncertainty in terms of inequality. Although several signs show that the Kuznets curve will come to represent China, as noted by the gradual reduction of surplus labor and rising wage rates starting in the coastal provinces, the Chinese are now facing new sources of inequality in China, such as wealth （including financial and real estate assets） and non-economic factors （including corruption）.     

Real Money Demand,Income, and Interest Rates in Senegal: Is there a Long-Run Stable Relation?

In this paper, I examine the stability of the long-run relationship between real money demand, income, and interest rates in Senegal. Using advances in unit root and co-integration, I test for co-integration between M1 velocity, output, and the interest rate. By virtue of the fixed exchange rate regime, I used both the three months French Treasury bill and the deposit rate to proxy the opportunity cost of holding money. I used Stock and Watson (1993) DOLS in addition to an ECM. Quarterly data ranging from 1970:Q4 to 2006:Q4 is used in the analysis, and the results reveal evidence of co-integration between real money demand, income, and the interest rate. For this study, I used both an ECM co-integration test and Johansen (Journal of Economic Dynamics and Control 12(2/3), 231-254, 1988) co-integration method.