Harmonized Data for Measuring the Effects of Weather Variability

<p>As part of an IFPRI-funded project, raw and partially processed secondary data have been harmonized and analyzed to examine the effects of weather variability on household welfare, the latter measured using per capita total household expenditure. This cross-country project covers rural Ghana, Uganda, and Tanzania. Household survey data, a time series of monthly precipitation and temperature, as well as other biophysical data have been harmonized and analyzed using Stata software. Several Stata do files have been created for data processing and analysis as noted in the attached “READ ME.txt” file.</p>
<p>The sources of household survey data are the following: National Household Budget Surveys and National Panel Surveys (for Tanzania); National Household Surveys and National Panel Surveys (for Uganda); and Ghana Living Standards Surveys (for Ghana). Precipitation data are obtained from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). Temperature data are obtained from the Center for Climatic Research at the University of Delaware. Other landscape-level biophysical data analyzed include night lights, population density, and agroecological zones (AEZ). </p>

<p>作为国际食物政策研究所（IFPRI）资助项目的一部分，研究人员对原始及部分处理的二手数据进行了整合与分析，旨在考察天气变率对家庭福利的影响——后者以人均家庭总支出为衡量指标。该跨国项目覆盖加纳、乌干达和坦桑尼亚三国的农村地区。研究人员使用Stata软件对家庭调查数据、月度降水与气温时间序列数据及其他生物物理数据进行了整合与分析。如附件“READ ME.txt”文件所述，已编制若干Stata do文件用于数据处理与分析。</p>
<p>家庭调查数据的来源如下：坦桑尼亚的全国家庭预算调查与全国面板调查；乌干达的全国家庭调查与全国面板调查；加纳的加纳生活水平调查。降水数据来源于气候灾害小组红外降水与站点数据（CHIRPS）。气温数据来源于特拉华大学气候研究中心。分析所用的其他景观尺度生物物理数据包括夜间灯光、人口密度及农业生态区（AEZ）。</p>