Modernizing Official Statistics with Big Data: A Case on PODES

Chaikal Nuryakin, Nandaru Annabil Gumelar, Muhammad Dhiya Ul-Haq, Riefhano Patonangi and Andhika Pratama

No 202045, LPEM FEBUI Working Papers from LPEM, Faculty of Economics and Business, University of Indonesia

Abstract: This study serves as an example of how Indonesia can improve its official data by using big data. In this case, we compare village potential data (PODES) published by Statistics Indonesia (BPS) with Google Places API data and ministerial data. We use the number of hospitals, high schools, and public health centers within Jakarta province as the variables. The result shows that despite counting for the same thing, there are discrepancies between all three sources with a varying margin for each variable. We discuss our findings and give suggestions in the hope of improving official data in Indonesia, which could be helped by utilizing big data as this study exemplified.

Keywords: official; statistics; —; big; data; —; official; data (search for similar items in EconPapers)
JEL-codes: C8 D8 E2 R1 (search for similar items in EconPapers)
Date: 2020-45, Revised 2020
New Economics Papers: this item is included in nep-big and nep-sea
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