益贫式增长的内涵及其实现路径：一个文献综述

益贫式增长是对穷人有利的经济增长,它关注穷人在经济增长中的受益程度,被认为是有效减贫的最佳经济增长模式。益贫式增长理论认为经济增长是减贫的最大动力,但是经济增长是减贫的必要而非充分条件,高速的经济增长必须配合更公平的收入分配制度才能实现贫困快速下降。实现益贫式增长主要有两种途径：一种是通过经济增长直接提高穷人收入;另一种是通过政府公共再分配使贫困人口从经济增长中间接获益。本文通过对益贫式增长的含义及其实现路径相关文献进行回顾和总结,以期为学界进一步研究提供参考。     

Can census data alone signal heterogeneity in the estimation of poverty maps?

Methodologies now commonly used for the construction of poverty maps assume a substantial degree of homogeneity within geographical areas in the relationship between income and its predictors. However, local labor and rental markets and other local environmental differences are likely to generate heterogeneity in such relationships, at least to some extent. The purpose of this paper is to argue that useful if only indirect and suggestive evidence on the extent of area heterogeneity is readily available in virtually any census. Such indirect evidence is provided by non-monetary indicators-such as literacy, asset ownership or access to sanitation-which are routinely included in censuses. These indicators can be used to perform validation exercises to gauge the extent of heterogeneity in their distribution conditional on predictors analogous to those commonly used in poverty mapping. We argue that the same factors which are likely to generate area heterogeneity in poverty mapping are also likely to generate heterogeneity in such kind of validation exercises. We construct a very simple model to illustrate this point formally. Finally, we evaluate empirically the argument using data from Mexico. In our empirical illustrations, the performance of imputation methodologies to construct maps of indicators typically feasible with census data alone is indeed informative about how effectively such methodologies can produce correct inference in poverty mapping.     

Imputing rent in consumption measures,with an application to consumption poverty in Canada, 1997–2009

We consider two econometric problems in the measurement of poverty, both relating to rent imputation. First, we account for quality differences correlated with selection into owner‐occupied versus rental tenure. This correction increases estimated household consumption by 5% over uncorrected estimates and decreases estimated poverty rates quite dramatically. Second, we propose that measurement error induced by the imputation be corrected by imputing a consumption distribution, rather than a consumption level, for each household. This correction increases estimated poverty rates slightly. We use our methods to measure consumption poverty in Canada, and find that the imputation strategy used influences the patterns observed. For example, measured poverty among the elderly barely declines when one uses our methods, in contrast to the almost 6 percentage point reduction we find using traditional methods. In our assessment of the over‐time evolution of consumption poverty, we find that substantial progress has been made on overall poverty and on child poverty, but that poverty among the elderly hardly changed.     

Are Lone Mothers Responsive to Policy Changes? Evidence from a Workfare Reform in a Generous Welfare State*

There is a heated debate in many developed countries about how to design a welfare system that moves lone mothers off welfare and into work. We analyze the consequences of a major Norwegian workfare reform of the generous welfare system for lone mothers. The reform imposed work requirements and time limits on welfare receipt, while raising in‐work benefits. Our difference‐in‐differences estimates show that the reform was successful in improving labor‐market participation and in increasing the earnings of lone mothers. However, the reform was associated with income loss and increased poverty among a sizeable subgroup of lone mothers, who were unable to offset the loss of out‐of‐work benefits with gains in earnings.     

Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji

Fiji signed the United Nations 2015 target of halving extreme poverty from its 1990 level, but like many developing countries it is facing challenges in meeting this goal. This paper presents the economic modelling using Fiji's Household Income and Expenditure Survey 2002/03 dataset to examine the economic and social factors crucial for poverty reduction. Two hypotheses are tested: first, we estimate the monetary effects of education at the aggregate and disaggregated returns to education (primary, secondary, tertiary levels) and by income quartiles, and second, test the non-monetary education and health factors as channels of impact promulgated as effects against poverty prevalence. The monetary results indicate that all income quartile households (i.e. lowest to highest) benefit from additional skills obtained through formal education. While those at the lowest income quartile in particular benefit the most from formal education, however it cannot sustainably prevent people with only primary education from falling into poverty. The results for non-monetary models show that education has a positive and significant influence on the tendency of the people to engage in health prevention activities and in acquiring good housing facilities.     

Innis Lecture: Inference on income distributions

Abstract This paper attempts to provide a synthetic view of varied techniques available for performing inference on income distributions. Two main approaches can be distinguished: one in which the object of interest is some index of income inequality or poverty, the other based on notions of stochastic dominance. From the statistical point of view, many techniques are common to both approaches, although of course some are specific to one of them. I assume throughout that inference about population quantities is to be based on a sample or samples, and, formally, all randomness is due to that of the sampling process. Inference can be either asymptotic or bootstrap based. In principle, the bootstrap is an ideal tool, since in this paper I ignore issues of complex sampling schemes and suppose that observations are IID. However, both bootstrap inference and, to a considerably greater extent, asymptotic inference can fall foul of difficulties associated with the heavy right‐hand tails observed with many income distributions. I mention some recent attempts to circumvent these difficulties.     

Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment

This paper reports on a randomized survey experiment among 1840 households, designed to compare pen-and-paper interviewing (PAPI) to computer-assisted personal interviewing (CAPI). We find that PAPI data contain a large number of errors, which can be avoided in CAPI. Error counts are not randomly distributed across the sample, but are correlated with household characteristics, potentially introducing sample bias if dubious observations need to be dropped. We demonstrate a tendency for the spread of total measured consumption to be higher on paper compared to CAPI, translating into significantly higher measured inequality. Investigating further the nature of PAPI's measurement error for consumption, we fail to reject the hypothesis that it is classical: it attenuates the coefficient on consumption when used as explanatory variable and we find no evidence of bias when consumption is used as dependent variable. Finally, CAPI and PAPI are compared in terms of interview length, costs and respondents' perceptions.     

Poverty,undernutrition and vulnerability in rural India: role of rural public works and food for work programmes

This paper analyses the effects of access to Rural Public Works (RPW) or Food for Work programme (FFW) on consumption poverty, vulnerability and undernutrition in India using the large household data sets constructed by the National Sample Survey for 1993 and 2004. The treatment-effects model is used to take account of sample selection bias in evaluating the effects of RPW in 1993 or FFW in 2004 on poverty. We have found significant and negative effects of participation in RPW and the Food for Work Programme on poverty, undernutrition (e.g. protein) and vulnerability in 1993 and 2004.