Filipino Family Income and Expenditure
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### Context The Philippine Statistics Authority (PSA) spearheads the conduct of the Family Income and Expenditure Survey (FIES) nationwide. The survey, which is undertaken every three (3) years, is aimed at providing data on family income and expenditure, including, among others, levels of consumption by item of expenditure, sources of income in cash, and related information affecting income and expenditure levels and patterns in the Philippines. ### Content Inside this data set is some selected variables from the latest Family Income and Expenditure Survey (FIES) in the Philippines. It contains more than 40k observations and 60 variables which is primarily comprised of the household income and expenditures of that specific household ### Acknowledgements The Philippine Statistics Authority for providing the publisher with their raw data ### Inspiration Socio-economic classification models in the Philippines has been very problematic. In fact, not one SEC model has been widely accepted. Government bodies uses their own SEC models and private research entities uses their own. We all know that household income is the greatest indicator of one's socio-economic classification that's why the publisher would like to find out the following: 1) Best model in predicting household income 2) Key drivers of household income, we want to make the model as sparse as possible 3) Some exploratory analysis in the data would also be useful
{'Context': '菲律宾统计局（PSA）负责主导全国性的家庭收入与支出调查（FIES）。该调查每三年进行一次，旨在提供有关家庭收入和支出的数据，包括但不限于消费水平的各项支出、现金收入来源，以及影响菲律宾收入和支出水平及模式的关联信息。', 'Content': '本数据集包含了菲律宾最新家庭收入与支出调查（FIES）中的一些选定变量。它包含超过40,000个观测值和60个变量，主要涵盖特定家庭的收入和支出情况。', 'Acknowledgements': '感谢菲律宾统计局为出版者提供原始数据。', 'Inspiration': '菲律宾的社会经济分类模型一直存在很大问题。事实上，没有一个SEC模型被广泛接受。政府机构使用自己的SEC模型，而私营研究实体也使用自己的模型。众所周知，家庭收入是衡量一个人社会经济分类的最重要指标，因此，出版者希望了解以下内容： 1) 预测家庭收入的最佳模型 2) 家庭收入的关键驱动因素，我们希望模型尽可能简化 3) 对数据进行一些探索性分析也将非常有益。'}
