Correcting For Sampling Bias In The Measurement Of Welfare And Poverty

Analysts must pay close attention to sampling procedures used to collect survey data. This case study illustrates how observed changes in household welfare and in the incidence of poverty can vanish when corrections are applied to the data for changes in sampling procedures - and how even the direction of the trend may be reversed.

The final book from a towering pioneer in the study of poverty and inequality—a critically important examination of poverty around the world In this, his final book, economist Anthony Atkinson, one of the world’s great social scientists and a pioneer in the study of poverty and inequality, offers an inspiring analysis of a central question: What is poverty and how much of it is there around the globe? The persistence of poverty—in rich and poor countries alike—is one of the most serious problems facing humanity. Better measurement of poverty is essential for raising awareness, motivating action, designing good policy, gauging progress, and holding political leaders accountable for meeting targets. To help make this possible, Atkinson provides a critically important examination of how poverty is—and should be—measured. Bringing together evidence about the nature and extent of poverty across the world and including case studies of sixty countries, Atkinson addresses both financial poverty and other indicators of deprivation. He starts from first principles about the meaning of poverty, translates these into concrete measures, and analyzes the data to which the measures can be applied. Crucially, he integrates international organizations’ measurements of poverty with countries’ own national analyses. Atkinson died before he was able to complete the book, but at his request it was edited for publication by two of his colleagues, John Micklewright and Andrea Brandolini. In addition, François Bourguignon and Nicholas Stern provide afterwords that address key issues from the unfinished chapters: how poverty relates to growth, inequality, and climate change. The result is an essential contribution to efforts to alleviate poverty around the world.

Simpler and bigger are better, for household living standards surveys. And better collection of price data, in an independent survey, should be a priority.

World Bank Environment Paper 4. This survey describes the factors that affect tree cultivation and clearance by Kenyan farmers. These factors include agricultural conditions, product markets, the family life cycle, income, and changing demands for household labor--especially demands caused by labor migration. The author explains why removing structural constraints on rural land markets might reduce the incentive to start and maintain woodlots. He also details why policies that seek to create forests may conflict with programs that generate rural employment.