In Data We Trust? An Analysis of Indonesian Socioeconomic Survey Data

Datos Bibliográficos

ID8416203
AutoresMeliyanni Johar (0000-0002-2381-1741, National Team for the Acceleration of Poverty Reduction (TNP2K), Indonesia), Prastuti Soewondo (0000-0003-1382-4538, National Team for the Acceleration of Poverty Reduction (TNP2K), Indonesia), Retno Pujisubekti (0000-0002-1587-374X, National Team for the Acceleration of Poverty Reduction (TNP2K), Indonesia), Harsa Kunthara Satrio (0000-0001-5139-575X, National Team for the Acceleration of Poverty Reduction (TNP2K), Indonesia), Ardi Adji (0000-0002-3208-6983, National Team for the Acceleration of Poverty Reduction (TNP2K), Indonesia)
Año2019
Volumen55
Número1
Páginas61-82
Fecha de publicación2019-01-02
Open AccessNo
TipoARTICLE
RevistaBulletin of Indonesian Economic Studies (JOURNAL)
Identificadores de la revistaISSN: 0007-4918 • E-ISSN: 1472-7234
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00074918.2018.1515474
OpenAlexW2889101425
IdiomaEN
Citas recibidas2
Referencias citadas28

What if a popular dataset that has generated a large amount of literature has been misunderstood and has led to misleading inferences? This paper examines household expenditure data from the Indonesian National Socio-economic Survey (Susenas), which started more than 50 years ago. Appropriate use of Susenas data for policy analysis requires an understanding that the survey’s expenditure variable does not measure true out-of-pocket expenses, because it includes subsidies received by households when obtaining goods and services. We also highlight an abrupt change in the survey instrument that occurred in 2015, when the reference period for certain items was extended. For health items, this generated a change in the expenditure series that can be misinterpreted as being the result of a social health insurance reform introduced in 2014 to lower the health care burden on households. Accordingly, we propose a way to account for this artificial expenditure movement in Susenas

Actuarial science · Business · Demographic economics · Economic growth · Economics · Environmental health · Health care · Indonesian · Public economics · Socioeconomic status · Statistics · Subsidy · Survey data collection · Global Health Care Issues · Global Maternal and Child Health · Healthcare Systems and Reforms · Medicine

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