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Household Panel Data Set (household + panel_data_set)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	75%

Selected Abstracts

The Green Revolution, development of labor markets, and poverty reduction in the rural Philippines, 1985,2004

AGRICULTURAL ECONOMICS, Issue 2006
Jonna P. Estudillo
Poverty; Landlessness; Green Revolution; Investments in schooling Abstract Using a long-term household panel data set collected in three rural villages in the Philippines in 1985 and 2004, this article explores how the Green Revolution and development of the labor markets have affected household income and poverty situation. The initial rise in income associated with the Green Revolution and a stronger credit access has enabled the households to allocate funds for investing in children's schooling. With the increased integration of the rural with the urban labor market, these children are able to explore labor opportunities in the nonfarm sector that resulted in a decline in poverty by about one-half. The landless households, who are less educated, benefited, too, from the expansion of the nonfarm labor market, because of the rise in rural wages associated with the rise in demand for the unskilled labor, which is by far their most important asset. [source]

Child Growth in the Time of Drought

OXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 4 2001
John Hoddinott
This paper examines the impact of rainfall shocks on a measure of child health, growth in height, drawing on a unique household panel data set from rural Zimbabwe. We find that children aged 12 to 24 months lose 1.5-2 cm of growth in the aftermath of a drought. Catch-up growth in these children is limited so that this growth faltering has a permanent effect. By contrast, there is no evidence that older children experience a slowdown in growth. There is some evidence that the loss in growth is unequally distributed with children residing in poorer households and offspring of women who are daughters of the household head appearing to be especially vulnerable. [source]

Disability, capacity for work and the business cycle: an international perspective

ECONOMIC POLICY, Issue 63 2010
Hugo Benítez-Silva
Summary Important policy issues arise from the high and growing number of people claiming disability benefits for reasons of incapacity for work in OECD countries. Economic conditions play an important part in explaining both the stock of disability benefit claimants and inflows to and outflows from that stock. Employing a variety of cross-country and country-specific household panel data sets, as well as administrative data, we find strong evidence that local variations in unemployment have an important explanatory role for disability benefit receipt, with higher total enrolments, lower outflows from rolls and, often, higher inflows into disability rolls in regions and periods of above-average unemployment. In understanding the nature of the cyclical fluctuations and trends in disability it is important to distinguish between work disability and health disability. The former is likely to be influenced by economic conditions and welfare programmes while the latter evolves in a slower fashion with medical technology and demographic changes. There is little evidence of health disability being related to the business cycle, so cyclical variations are driven by work disability. The rise in unemployment due to the current global economic crisis is expected to increase the number of disability insurance claimants. --- Hugo Benítez-Silva, Richard Disney and Sergi Jiménez-Martín [source]

DOES SENDING FARMERS BACK TO SCHOOL HAVE AN IMPACT?

THE DEVELOPING ECONOMIES, Issue 2 2008
REVISITING THE ISSUE
Q12; C59; O13 The Farmer Field School (FFS) is an intensive training program providing farmers with science-based knowledge and practices, including integrated pest management. Recently there has been intensive debate as to whether or not this kind of training has any significant impact. Most case studies argue that the impact, in terms of a farmer's ability to reduce the use of pesticides while increasing yields, is significant. However, panel data studies using household panel data sets for Indonesia have not been able to confirm that this is the case. The present paper uses panel data available from previous panel data studies and applies a new model specification to reevaluate whether or not the FFS induces better performances among farmers enrolled in the program and also among their neighbors, who are expected to receive some spillover knowledge from the FFS alumna. [source]