Welfare states and inequality: Institutional designs and distributive outcome

Comparative studies on inequality have suffered from severe methodological problems, which mean that issues related to the causes of cross-national variation in inequality remain unresolved. In comparative welfare state research, the preoccupation with expenditure data has also meant that the welfare state itself has remained a black box. By examining new comparative data on social policy institutions and income inequality among different population groups, this study provides a more precise empirical basis for evaluating different, and divergent, theories on the welfare state and equality. Three cases will be used as illustrations: family policy and child poverty, unemployment benefits and poverty among working aged, and old-age pensions and poverty among the elderly. The results suggest that the key for understanding the effect of the welfare state lies in the institutional design—in the level and distribution of social rights. The importance of the welfare state for social stratification deserves to be given more attention by sociological research in the future.     

Remittances and the income distribution in Tonga

Receipt of remittances from migrants decreased the inequality of income in Tonga. Policies that attempt to affect migration or remittance flows, such as policies to improve the administration and collection of taxes, should take into account any undesirable effects on the distribution of income.     

The Role of Distributional Coalitions in Welfare Regimes: Chile, Costa Rica and El Salvador

Do social policies in Latin America promote or discourage distribution? And if they do promote distribution, are coalitions a prerequisite? Drawing from a typology of welfare regimes elaborated for 18 Latin American countries, this article explores responses to these questions by addressing three emblematic cases: Chile, Costa Rica and El Salvador – that is, countries where the management of social risks primarily revolves around markets, states and families, respectively. Although the article is exploratory, findings suggest that societal coalitions have been, and are likely to continue to be, weak in market welfare regimes, strong in state welfare regimes and contingent to policy sectors in familialistic welfare regimes.     

消除教育不平等——实现民生的基石

“教育是民族振兴的基石,教育公平是社会公平的重要基础”,改革开放以来,我国教育供给的数量和质量不断提高,但是人们的教育满意度并没有相应地提高,反而教育不公平感却增强了,这源于我国教育发展过程中存在一定程度的教育不平等现象。     

On the relationship between Spearman's rho and Kendall's tau for pairs of continuous random variables

It has long been known that for many joint distributions exhibiting weak dependence, the sample value of Spearman's rho is about 50% larger than the sample value of Kendall's tau. We explain this behavior by showing that for the population analogs of these statistics, the ratio of rho to tau approaches 3/2$3/2$ as the joint distribution approaches that of two independent random variables. We also find sufficient conditions for determining the direction of the inequality between three times tau and twice rho when the underlying joint distribution is absolutely continuous.     

离散型贝尔曼不等式

利用数学归纳法和连续型的贝尔曼不等式给出并证明了离散型的贝尔曼不等式。     

Three faces of international inequality

Recent studies of international inequality have focused mostly on the trend in international income inequality. This article extends the analysis of international inequality to also include inequalities in education and health. Analyses of time-series data for more than 100 countries show that international income inequality declined from 1980 to 2003 as several large, poor Asian countries outpaced many Western countries in national income growth. By contrast, international health inequality followed a U-shaped trend, falling in the 1980s before rising in the 1990s. The turnaround in health inequality coincides with a trend of declining life expectancy in sub-Saharan Africa. International educational inequality experienced the sharpest recent decline, spurred by the global expansion of formal schooling. These findings confirm that there is more to international inequality than income inequality alone and suggest that patterns of inequality in the current era of globalization are likely more complex than many leading theories suggest.     

M-quantile models with application to poverty mapping

Over the last decade there has been growing demand for estimates of population characteristics at small area level. Unfortunately, cost constraints in the design of sample surveys lead to small sample sizes within these areas and as a result direct estimation, using only the survey data, is inappropriate since it yields estimates with unacceptable levels of precision. Small area models are designed to tackle the small sample size problem. The most popular class of models for small area estimation is random effects models that include random area effects to account for between area variations. However, such models also depend on strong distributional assumptions, require a formal specification of the random part of the model and do not easily allow for outlier robust inference. An alternative approach to small area estimation that is based on the use of M-quantile models was recently proposed by Chambers and Tzavidis (Biometrika 93(2):255–268, 2006) and Tzavidis and Chambers (Robust prediction of small area means and distributions. Working paper, 2007). Unlike traditional random effects models, M-quantile models do not depend on strong distributional assumption and automatically provide outlier robust inference. In this paper we illustrate for the first time how M-quantile models can be practically employed for deriving small area estimates of poverty and inequality. The methodology we propose improves the traditional poverty mapping methods in the following ways: (a) it enables the estimation of the distribution function of the study variable within the small area of interest both under an M-quantile and a random effects model, (b) it provides analytical, instead of empirical, estimation of the mean squared error of the M-quantile small area mean estimates and (c) it employs a robust to outliers estimation method. The methodology is applied to data from the 2002 Living Standards Measurement Survey (LSMS) in Albania for estimating (a) district level estimates of the incidence of poverty in Albania, (b) district level inequality measures and (c) the distribution function of household per-capita consumption expenditure in each district. Small area estimates of poverty and inequality show that the poorest Albanian districts are in the mountainous regions (north and north east) with the wealthiest districts, which are also linked with high levels of inequality, in the coastal (south west) and southern part of country. We discuss the practical advantages of our methodology and note the consistency of our results with results from previous studies. We further demonstrate the usefulness of the M-quantile estimation framework through design-based simulations based on two realistic survey data sets containing small area information and show that the M-quantile approach may be preferable when the aim is to estimate the small area distribution function.     

不遵守Bell不等式的量子缠绕(英)

本文给出正交态及非正交态的量子缠绕，通过分析两个实例，发现能够产生不遵守Bell不等式最大限度的缠绕态。     

Is immigrant neighborhood inequality less pronounced in suburban areas?

We investigate suburbanization and neighborhood inequality among 14 immigrant groups using census tract data from the 2008–2012 American Community Survey. Immigrant neighborhood inequality is defined here as the degree to which immigrants reside in neighborhoods that are poorer than the neighborhoods in which native whites reside. Using city and suburb Gini coefficients which reflect the distributions of groups across neighborhoods with varying poverty rates, we find that the immigrant-white gap is attenuated in the suburbs. This finding applies to most of the nativity groups and remains after accounting for metropolitan context, the segregation of poverty, and group-specific segregation levels, poverty rates, and acculturation characteristics. Despite reduced neighborhood inequality in the suburbs, large group differences persist. A few immigrant groups achieve residential parity or better vis-à-vis suburban whites while others experience high levels of neighborhood inequality and receive marginal residential returns on suburban location.