World Food Policy Volume/Issue 2-2/3-1 Fall 2015/Spring 2016 | Page 96

Constructing a Database for Food Security Assessments in Southeast Asia all panel households in the provinces of Ubon Ratchathani (Thailand) and Hué (Vietnam) were surveyed again to capture medium-term agricultural effects. An extension of the panel by another six waves (until 2023) can make this database truly unique in terms of the length and continuity and the depth and scope of the inquiries and thus allowing to address many long-term development questions including nutrition and food insecurity. In order to meet the objective of conducting comprehensive food security studies that can capture all four food security dimensions, in principle two questionnaires are needed: a village and a comprehensive household survey. The village questionnaire collects information on the village characteristics, such as its location and physical and social infrastructure, and the socioeconomic and demographic profile of the village (e.g., age structure, welfare status of households, unemployment rates, and major income sources) strategies. The household questionnaire includes a range of modules which are shown in Table 6. Although the questionnaire has originally been developed for research on vulnerability to poverty it can contribute to food security studies through many of its sections. Adding specific modules on in-depth food security indicators would be possible and has in fact been implemented for the Cambodia and Laos panel surveys. Also, the survey can be complemented by selected focus group discussions for example to determine the Coping Strategies Index (CSI), as suggested by Maxwell and Caldwell (2008), and even randomized control trials related to food security. Our long-term panel project for Thailand and Vietnam appears unique and valuable in several respects (see also Klasen and Waibel 2013). First, its sampling design facilitates comparisons of countries, regions, and provinces. Second, the sample size at provincial level is larger than any of the existing panels and the period spanned will be among the longest of any survey study. Third, the database allows comparisons of individual households and to some extent also of individuals within households. It consistently includes migrants and, thus, covers an important driver of household dynamics in emerging market economies. Fourth, the survey instrument contains all aspects of the living standard measures and adds comprehensive modules on shocks, risks, expectations, and subjective assessments of welfare. Fifth, it has a very low attrition rate due to an incentive structure that promotes ownership through active participation of the scientists in the data collection process and thus closely links data collection with research output. The long-term panel data project will therefore provide unique opportunities to advance scientific research on poverty, vulnerability, and food security. The value-added of the project emanates both from its long-term nature and the richness of information that allow for a good tracking of households’ expectations and actions. It will permit the analysis of long and medium term, dynamic, and inter-temporal dimensions that is rarely possible with existing datasets, including the currently existing four waves of the FOR756 panel. The panel datasets can help to advance research related to food 96