Understanding Rising Income Inequality in Germany, 1999/2000–2005/2006

We examine the factors behind rising income inequality in Europe's most populous economy. From 1999/2000 to 2005/2006, Germany experienced an unprecedented rise in net equivalized income inequality and poverty. At the same time, unemployment rose to record levels, part‐time and marginal part‐time work grew, and there was evidence for a widening distribution of labor incomes. Other factors that possibly contributed to the rise in income inequality were changes in the tax and transfer system, changes in the household structure (in particular the rising share of single parent households), and changes in other socio‐economic characteristics (e.g., age or education). We address the question of which factors were the main drivers of the observed inequality increase. Our results suggest that the largest part of the increase was due to increasing inequality in labor incomes, but that changes in employment outcomes and changes in the tax system also contributed considerable shares. By contrast, changes in household structures and household characteristics, as well as changes in the transfer system only seem to have played a minor role.     

Accounting for United States Household Income Inequality Trends: The Changing Importance of Household Structure and Male and Female Labor Earnings Inequality

Using a shift‐share analysis on March CPS data, this paper estimates the degree to which changes in labor earnings, employment, and marriage patterns account for household income inequality growth in the United States since 1979. The factors contributing to the rapid rise in income inequality in the 1980s differ substantially from those contributing to its slower increase since that time. Unlike findings for the 1980s when changes in the correlation of spouses' earnings accounted for income inequality growth, this factor is no longer a major contributor toward its continued increase. Additionally, the 2000s business cycle is the first full business cycle in at least 30 years where changes in earnings of male household heads accounted for declines in income inequality. Instead, the continued growth in income inequality in the 2000s was accounted for primarily by increases in female earnings inequality and declines in both male and female employment.     

农业产业化对农民收入和农户行为的影响--以山东省龙口市为例

农业产业化是当今中国农业发展的热点，但产业化经营究竟能在多大程度上促进“三农”问题的根本转变，目前仍很少有人进行定量研究。文章以农业产业化起步较早的山东省龙口市为案例，通过生产调查和统计资料分析，对该问题做了初步研究。结果表明：尽管龙口市的乡村工业发展迅速且占据了农村经济的绝大部分，但与农民人均纯收入增长关系最为紧密的仍然是农业产业，其次才是农村第二、第三产业，这一结果应归功于农业产业化的发展。农户在家庭劳动力分配时，年老人趋向于从事农业生产，年轻人趋向于从事非农生产，许多农户将自家的劳动力投入到非农产业，同时又雇佣外地劳力从事自家的农业生产。     

收入不平等与家庭借贷行为*——家庭为追求社会地位而借贷的动机真的存在吗

本文利用中国家庭金融调查(CHFS)2011年度的调查数据,考察了收入不平等对家庭借贷行为的影响,并验证了家庭是否存在为追求社会地位而借贷的动机。研究表明：（1）收入不平等并不是影响家庭是否借贷的主要因素,但是对家庭的负债规模存在十分显著的抑制作用;（2）收入不平等的扩大并不会促使中低收入家庭寻求借贷或提升家庭负债规模,我国家庭并不存在为了追求更高的社会地位而进行借贷的动机;（3）收入不平等的扩大有利于高收入家庭获得更多的正规金融借贷,中低收入家庭则会较多地依赖于非正规金融借贷;（4）户主的人口统计学特征、家庭经济特征以及家庭所处地区特征均是影响家庭借贷行为的重要因素,在正规金融和非正规金融市场上,影响家庭借贷行为的因素存在较明显的差异。     

Exploring the link between household debt and income inequality: an asymmetric approach

We investigate the relationship between household debt and income inequality in the USA, allowing for asymmetry, using data over the period 1913–2008. We find evidence of an asymmetric cointegration between household debt and inequality for different regimes. Our results indicate household debt only responds to positive changes in income inequality, while there is no evidence of falling inequality significantly affecting household debt. The presence of this asymmetry provides further empirical insights into the emerging literature on household debt and inequality.     

Income Mobility and Income Inequality in Rural China

The economic literature has argued for a long time that income mobility could attenuate the degree of cross-sectional inequality by offering people opportunities to improve their socio-economic position. Using the longitudinal data from the China Health and Nutrition Survey (CHNS) from 1989 to 2011, we measure income mobility as the degree to which longer-term incomes are distributed more or less equally than yearly income. Five main results are emphasized. First, there is strong income mobility in rural China that partly offsets yearly income inequality. Second, income mobility has decreased since the 2000s, indicating that income distribution is becoming more rigid. Third, mobility is mainly associated with transitory income fluctuations, particularly in the two tails of the distribution. Fourth, income mobility has an equalizing effect on income distribution. Fifth, we show that non-agricultural income mobility has substantially increased over the period and that its equalizing nature has also recently increased. While the development of the non-agriculture sector in rural China was a crucial factor in explaining the increase in rural inequality until the mid-2000s, we suggest that the large-scale generalisation of such non-agricultural opportunities partly accounts for the decline in rural inequality observed since the mid-2000s.     

Factor Components of Inequality: A Cross‐Country Study

This paper uses data from the Luxembourg Income Study to examine some of the forces that have driven changes in household income inequality over the last three decades of the twentieth century. We decompose inequality for six countries (Canada, Germany, Norway, Sweden, the U.K., and the U.S.) into the three sources of market income (earnings, property income, and income from self‐employment) and taxes and transfers. Our findings indicate that although changes in the distribution of earnings are an important force behind recent trends, they are not the only one. Greater earnings dispersion has in some cases been accompanied by a reduction in the share of earnings which dampened its impact on overall household income inequality. In some countries the contribution of self‐employment income to inequality has been on the rise, while in others, increases in inequality in capital income account for a substantial fraction of the observed distributional changes.     

Wage Inequality,Increased Competition,and Trade Liberalization: Short Run vs Long Run

This paper examines the impact of increased competition and trade liberalization on skilled–unskilled wage inequality in the short run as well as the long run. It is shown that an increase in the number of firms in the producer services sector increases wage inequality in the short run even if the income shares of capital in the industrial and agricultural sectors were identical. A decrease in the services sector's fixed cost decreases wage inequality in the short run if the income share of capital in the agricultural sector is relatively large. Owing to the presence of external economies, a decrease in the services sector's fixed cost increases wage inequality in the long run. A decrease in import duty on the agricultural good increases wage inequality in the short as well as the long run but its effect in the long run is stronger due to the presence of external economies in the industrial sector.     

Oil booms and inequality in Iran

We study the response of income inequality to positive per capita oil and gas revenue shocks in Iran. Using historical data from 1973 to 2016 and vector autoregression (VAR) as well as vector error correction (VECM) model‐based impulse‐response functions, we find a positive and statistically significant response of income inequality to oil booms. We also explore possible channels through which oil booms may increase inequality, including private sector credit growth, construction investment, international trade (imports) and real economic output. We find that following an oil boom, higher imports, private sector credit growth, and real economic output can explain the increased income gap to a certain degree in Iran's oil‐based economy. Our analysis can help policymakers evaluate and accommodate the possible positive or negative effects of inequality in Iran resulting from the 2016 lifting of the embargo against the country.     

Does women’s participation in agricultural technology adoption decisions affect the adoption of climate‐smart agriculture? Insights from Indo‐Gangetic Plains of India

Increased participation of women in the agricultural technology adoption decision by farm households is one of the key indicators of gender empowerment in the agricultural sector. This study examines whether women’s participation in the household decision to adopt agricultural technology affects the adoption of climate‐smart agriculture (CSA), using data collected from 1,267 farm households from two Indian states of Bihar and Haryana. When we considered the sex of the household head (using a dummy variable for male‐headed vs female‐headed household) as a basis of analyzing the role of gender in the adoption of CSA, we found that women in Haryana had no role in the adoption of CSA. On the contrary, when we considered women’s participation in technology adoption decisions as a basis of gender analysis, we found that women’s participation in technology adoption decisions in Haryana is much higher as compared to Bihar. Consequently, the likelihood to adopt CSA is higher in Haryana than in Bihar. We also found that wealth, training, and access to extension and market positively influenced CSA adoption. Qualitative analysis shows that women farmers prioritize family food security rather than farm income, and therefore, they are more likely to focus on CSA to ensure food security.     

Income or Consumption: Which Better Predicts Subjective Well‐Being?

The positive relationship between income and subjective well‐being has been well documented. However, work assessing the relationship of alternative material well‐being metrics to subjective well‐being (SWB) is limited. Consistent with the permanent income hypothesis, we find that a consumption‐based measure out‐performs (surveyed) income in predicting subjective well‐being. When objective measures of consumption are combined with self‐assessments of a household’s standard of living, income becomes insignificant altogether. We obtain our result utilizing household‐level data from Statistics New Zealand’s New Zealand General Social Survey which contains measures of income, SWB and a measure of material well‐being called the Economic Living Standard Index that combines measures of consumption flows and self‐assessments of material well‐being.     

Inequality in Pre-Income Survey Times: A Methodological Proposal

We propose different alternatives of inequality estimation for economies with a big agricultural sector where land is a decisive factor in income generation and where we do not have enough information about personal earnings. To this end, we use the Uruguayan case to test our methodology. We propose six analytical exercises where Gini indexes are calculated, and as reference we choose the estimation that better adjusts to some theoretical and empirical conditions. Finally, we check the historical accuracy of the series by looking at income distribution explicative variables and the shape of the Inequality possibility frontier. Our results are consistent with the economic and social events of the period (1870–1912) and with previous estimates which reveal worsening trends in income distribution. However, our annual data allow capturing the dynamics of the process where breaks in the series are observed and improvements and declines alternate in the evolution of income distribution.     

In search of thresholds in the household income inequality–growth relationship

This paper investigates the shape of the relationship between household income inequality and economic growth. More precisely we search for the existence of threshold values in this relationship by employing a dynamic panel smooth transition regression model to account for potential endogeneity problems. We find that there do exist threshold values (that are different for different groups of countries): below the threshold, household income inequality is growth enhancing, while above the threshold, inequality has a negative or no effect on economic growth.     

Income Distribution and Aggregate Saving: A Non‐Monotonic Relationship

Drawing on a panel of advanced economies, this paper documents a concave and non‐monotonic link between inequality and the aggregate household saving rate. We find that, at a low level of inequality, more inequality is associated with higher saving; but we also show that a negative relationship between inequality and saving prevails where inequality is high. Using different empirical approaches, we locate the turning point, where the marginal effect of inequality turns from positive to negative, at a net income Gini coefficient of around 30. Moreover, we show that the relationship between inequality and saving also depends on financial market conditions. While inequality increases saving, when credit is scarce it tends to reduce saving at high levels of credit. This paper primarily focuses on household saving, yet we also find some evidence for a non‐monotonic effect of inequality on private saving, national saving, and the current account balance.     

Economic Integration,Growth and Income Distribution

This paper constructs a two‐sector growth model with heterogeneous labour, to explore the impact of the economic integration on growth and income distribution. There are two sectors in each country, including the consumption‐good sector and the R&D sector. We suppose that the R&D sector produces new blueprints or ideas for these innovations, and hence provides the engine of growth. Assume that the talent's distribution of workers is the uniform distribution. We show that the economic integration will stimulate the developing countries' economic growth and then decrease its income inequality. In addition, we also demonstrate that if the growth rate of the advanced country rises after the integration, then income inequality of that will increase, and vice versa.     

Complementarity and substitutability between farm and nonfarm activities: Evidence from agricultural households in Tanzania

Increasing evidence shows that farm households in developing countries maintain a portfolio of income-generating activities. Concerns have been raised that household income diversification to include nonfarm activities will stifle farm works, and thus reduce agricultural productivity. On the contrary, some evidence of complementarity between the farm and nonfarm activities in rural areas has been found. This paper uses data from the fourth and the fifth waves of Tanzania's National Panel Surveys to examine whether there exists complementarity or substitutability between farm and nonfarm activities in rural Tanzania. The findings show that participation in off-farm work and nonfarm business activities has no clear relationship to the adoption and use of improved agricultural practices, namely, irrigation, fertilizers, pesticides, and herbicides. Participation in off-farm work and nonfarm business activities does not also seem to directly influence agricultural investments, production, and productivity nor overall household income. These results suggest that the complementary and substitution effects of nonfarm activities offset each other in Tanzania, implying that proper policies are required to unleash the potential impact of nonfarm activities on agriculture.     

Nepal's civil war and the changing sources of income: The role of sectoral shifts and remittances in mitigation and recovery

Given the increased worldwide unrest and a large number of displaced individuals, understanding the economic impacts of civil war has been the subject of growing attention by academics and policymakers. The 10‐year civil war in Nepal from 1996 to 2006 provides an opportunity to assess the impact of civil unrest on income sources and remittance patterns. In this study, we examine the changes in household income generating processes over the period of the Nepali civilwar. Using survey data from the Nepal Living Standards Survey (NLSS) in 1995/1996 and 2010/2011, we observe household income and remittance patterns before and after the civil war. Specifically, we employ a difference‐in‐difference estimator that focuses on the heterogeneity in civil unrest within Nepal to examine how the civil war impacted the sources of household income. Within the context of a slower growth rate of income after the revolution for those in the hardest hit districts, we find that there was also a change in the composition of income sources. In particular, our results suggest that there was a shift from a reliance on wages in the nonagricultural sector to wages in the agricultural sector; that there was a shift from external remittances to internal remittances; and finally that home production—the market value of items produced and consumed within the household—may be taking the place of income in regions hit by unrest. “People living in zones of war are maimed, killed, and see their property destroyed. They may be displaced or prevented from attending school or earning a living. To the extent that these costs are borne unequally across groups, the conflict could intensify economic inequality as well as poverty. The destruction (and deferred accumulation) of both human and physical capital also hinder macroeconomic performance, combining with any effects of war on institutions and technology to impact national income growth. Understanding the economic legacies of conflict is important to the design of post‐conflict recovery” (Blattman & Miguel, 2010).     

Taking down the wall: Transition and inequality

In this article, we investigate the main determinants of income inequality in the transition countries of Central and Eastern Europe and the Commonwealth of Independent States during the period 1990–2018. To this end, we address a major methodological challenge that lies at the core of the cross‐country literature on income inequality: the potential endogeneity of income per capita, which is largely ignored by most empirical studies. We adopt a two‐pronged empirical strategy by (1) using trading partners’ weighted average real GDP as an instrumental variable and (2) estimating the model via the two‐stage least squares approach for static models and the generalized method of moments estimator for dynamic models. Our empirical findings are consistent with the Kuznets curve that illustrates a nonlinear relationship between income inequality and the level of economic development. We also find that the redistributive impact of fiscal policy is statistically insignificant and taxation and government spending appear to have the opposing effects on income inequality in transition economies over the sample period.     

Entrepreneurship and income inequality: a spatial panel data analysis

The main objective of this paper is to empirically analyze the relationship between entrepreneurship and income inequality. We use a spatial panel data analysis for both 33 high-income countries and 39 middle- and low-income countries over a period of 11 years. Estimation results and rigorous diagnostic analysis suggest that: (i) there is a strong support for the existence of an inverted U-shaped relationship between entrepreneurship and income inequality espoused by the Kuznets Curve hypothesis; (ii) the relationship between entrepreneurship and income inequality is negatively moderated by country’s level of economic development; (iii) regardless of income inequality levels, entrepreneurship has a non-linear relationship with income per capita; (iv) gross domestic expenditure on research and development exhibits significant negative impacts on entrepreneurship; (v) significant mixed effects on the likelihood of entrepreneurial activity are observed with governance, globalization, population growth rate, and competitiveness variables; (vi) there are significant mixed feedback effects on entrepreneurship; and (vii) there are statistically significant, positive as well as negative spatial spillovers to country-level entrepreneurial activity.     

The Political Economy of Policy Reform in the Philippines: 1992–1998

Accurately measuring Turkey's informal sector is important for policymaking. We utilize household income‐expenditure surveys to examine this sector's income underreporting. The Pissarides‐Weber approach hypothesizes that data would reflect such underreporting as “excess food consumption”. Our results suggest informal sector members spend more than their formal sector counterparts with comparable reported income levels. Using this information, we estimate the average size of the true informal sector to be about 1.25 times the official estimate. The informal sector accounts for around 83% of officially reported disposable income. Therefore, true Turkish disposable income is (25%)?(83%), roughly 21% larger than the officially estimated magnitude.