Poverty Impact Analysis: Approaches and Methods - Chapter 2

Poverty Predictor Modeling in Indonesia: A Validation Survey - Mục tiêu của chương này là để đánh giá và xác minh các biến giải thích hay dự đoán được sử dụng để xác định người nghèo. Các biến dự đoán được dựa trên các kết quả trước đây của các mô hình dự đoán đói nghèo (PPM) tập thể dục bằng cách sử dụng Khảo sát kinh tế xã hội của quốc gia Indonesia (SUSENAS) thảo luận trong chương 1 của cuốn sách này. Các kết quả PPM được sử dụng làm cơ sở phân tích. Quá trình xác. | CHAPTER 2 Poverty Predictor Modeling in Indonesia A Validation Survey Bayu Krisnamurthi Arman Dellis Lusi Fausia Yoyoh Indaryanti Anna Fatchia and Dewi Setyawati Introduction The objective of this chapter was to assess and verify the explanatory or predictor variables used for determining the poor. The predictor variables were based on the earlier results of the poverty predictor modeling PPM exercise using Indonesia s National Socioeconomic Survey SUSENAS discussed in Chapter 1 of this book. The PPM results were used as the basis of the analysis. The verification process was done using a local assessment and survey. The overall results were then analyzed for their significance in determining poverty especially their usefulness in identifying the poor and improving poverty targeting. Data and Approaches Data used in this study emanated from a 2005 sample survey1 of households in Bogor West Java and Tangerang Banten. The sample included 624 households selected from two groups . households which were covered in the SUSENAS and households which were not covered in the SUSENAS. For comparison the secondary data of SUSENAS 2004 for the two districts selected were used as the benchmark for classifying the households into poor and nonpoor. The poverty predictor variables examined in this study were classified according to the following characteristics ownership of electronic equipment radio TV etc. level of education consumption pattern no consumption of milk meat biscuits or bread in a week do not get two meals a day household dependency ratio of more than The questionnaire used in the pilot survey can be downloaded at http . org Statistics . 1 Application of Tools to Identify the Poor 78 Poverty Predictor Modeling in Indonesia A Validation Survey household attributes earth floor impermanent walls no sanitary facilities no electricity etc. main source of income coming from informal sectors and level of health cleanliness of clothing medication