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Household surveys, a pivotal component of every country's national statistical system, continue to be criticized and praised in equal manner. While recognizing their limitations, it is clear that certain types of data must continue to be collected through household surveys, preferably in an integrated manner with other data sources. This is particularly true in the agricultural space for which household and farm surveys will be critical both to collect primary data as well as to validate alternative data sources. Recent methodological gains and technological innovations offer a unique opportunity to address many of the shortcomings of agricultural data. In this article, we briefly describe select examples of such methodological and technological changes, drawing from the Living Standards Measurement Study‐Integrated Surveys on Agriculture, a survey program aimed at improving the availability, quality, and relevance of agricultural data in multitopic, multipurpose household surveys. [ABSTRACT FROM AUTHOR]

Questions that often come up in contexts where household consumption data are unavailable or missing include: what are the best existing methods to obtain poverty estimates at a single snapshot in time? and over time? and what are the best available methods to study poverty dynamics? A variety of different techniques have been developed to tackle these questions, but unfortunately, they are presented in different forms and lack unified terminology. We offer a review of poverty imputation methods that address contexts ranging from completely missing and partially missing consumption data in cross‐sectional household surveys, to missing panel household data. We present the various existing methods under a common framework, with pedagogical discussion on their intuition. Empirical illustrations are provided using several rounds of household survey data from Vietnam. Furthermore, we also offer a practical guide with detailed instructions on computer programs that can be used to implement the reviewed techniques. [ABSTRACT FROM AUTHOR]

This special issue contributes to the literature on gender differences in sub-Saharan African agriculture primarily by using new and innovative micro-data. The first six articles have a strong focus on understanding the extent and drivers of gender differences in land productivity and use data from nationally representative household surveys that are implemented under the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) initiative. The LSMS-ISA data are multi-topic, with geo-referenced household and plot locations, and information on production and identity of managers and owners at the plot level. The last two articles in the volume rely on in-depth quantitative and qualitative case study data, which, in combination with the nationally representative data, allow for greater insights into the extent and correlates of gender differences in sub-Saharan African agriculture. While there does seem to be persistent evidence of gender gaps, the studies find the sources of these gaps to vary within and across countries. This makes designing policies to address gender gaps more challenging, yet of crucial importance. What is clear is that the failure to directly and explicitly address the underlying causes of the disparities is likely to end up exacerbating the observed gender gaps. [ABSTRACT FROM AUTHOR]

This article documents the long-term welfare effects of household nontraditional agricultural export (NTX) adoption. We use a panel dataset that spans the period 1985-2005, and employ difference-in-differences estimation to investigate the long-term impact of nontraditional agricultural export adoption on changes in household consumption status and asset position in the Central Highlands of Guatemala. Given the heterogeneity in adoption patterns, the analysis differentiates the impact estimates based on a classification of households that takes into account the timing and duration of nontraditional agricultural export adoption. The results show that while, on average, welfare levels have improved for all households irrespective of adoption status and duration, the extent of improvement has varied across groups. Long-term adopters exhibit the smallest increase in the lapse of two decades, in spite of some early gains. Conversely, early adopters who withdrew from nontraditional agricultural export production after reaping the benefits of the boom period of the 1980s are found to have fared better and shown greater improvements in durable asset position and housing conditions than any other category. [ABSTRACT FROM AUTHOR]

This article proposes a general pattern of rural development in which increases in per capita income are associated with a decline in the importance of agricultural production and a rise in the importance of non-agricultural income sources. Following the approach to examining Engel’s Law, we use data from 15 developing countries and a merged dataset to test whether such a pattern emerges. The analysis shows a strong, positive relationship between per capita income and the share of income earned from rural non-agricultural wage employment and a negative relationship between per capita income and agricultural production. [ABSTRACT FROM AUTHOR]

This study uses data from the 2005 Albania Living Standards Measurement Study survey to assess the impact of past migration experience of Albanian households on non-farm business ownership through instrumental variables regression techniques. Considering the differences in earning potentials and opportunities for skill acquisition in different destination countries, we differentiate the impact of past household migration experience by main migrant destinations. The study also explores the heterogeneity of impact based on the timing of migration. The empirical results indicate that past household migration experience exerts a positive impact on the probability of owning a non-farm business. While one additional year in Greece increases the probability of household business ownership by roughly 6 percent, a similar experience in Italy or farther destinations raises the probability by over 25 percent. Although past household migration experience for the period of 1990–2000 is positively associated with the likelihood of owning a household enterprise, a similar association does not exist for the period of 2001–2004. [ABSTRACT FROM AUTHOR]

Using data from the 2005 Albania Living Standards Measurement Study (ALSMS05) survey, this article analyzes the overall impact of household nonfarm income-generating activities (RIGA) on agricultural expenditures as well as technical efficiency of rural farm households. We also differentiate the impact for subsistence and commercial farmers, who are in the top 25% of the distribution of value of annual agricultural sales. Our results show that on the whole, Albanian rural households utilize their nonfarm earnings not to invest in time-saving, efficiency-increasing technologies, but to move out of crop production. We derive similar findings when we try to estimate the same relation separately for commercial and subsistence farmers. However, for commercial farmers, we find a positive impact of household nonfarm earnings on livestock expenditures. [ABSTRACT FROM AUTHOR]