Research Focus
My research focuses on how statistical methods can produce more reliable local-level evidence for official statistics and policy. I work on small area estimation, measurement error in covariates, and applied statistical modelling using survey, census, and auxiliary data.
Small Area Estimation for Official Statistics
Many policy questions require district or sub-district indicators, but direct survey estimates are often too unstable. I study small area estimation methods that improve the precision of local estimates for official statistics and decision-making.
Measurement Error in Covariates
Auxiliary variables are not always observed without error, especially when they come from surveys or other imperfect sources. My PhD research examines how measurement error affects Fay-Herriot and related small area estimation models, with applications to Indonesian household surveys.
Applied Modelling with Modern Data Sources
I also work on applied statistics that combine survey and census data with spatial, remote sensing, and other auxiliary information. These projects support poverty estimation, SDG indicators, disaster risk, and other policy-relevant analyses.
Selected Publications
A selection of publications highlighting work in small area estimation, official statistics, and applied modelling with Indonesian data.
Wulansari, I. Y., Woodcock, S., & Brown, J. (2025)
Exploration of approaches to small area estimation with measurement errors; and their application to Indonesian household surveys.
Proceedings of Statistics Canada Methodology Symposium 2024.
This paper focuses on how measurement error in covariates affects small area estimation, using Indonesian household survey applications.
Laksono, B. C., Wulansari, I. Y., & Permatasari, N. (2023)
Small Area Estimation of Household Expenditure on Insurance Programs for Minimizing the Impact of Natural Disasters in West Java, Indonesia.
Statistical Journal of the IAOS, 39(3), 729-743.
The study applies small area estimation to produce local expenditure estimates relevant to disaster risk and policy planning in West Java.
DOI: 10.3233/SJI-230040
Feriyanto, M., Wijayanto, A. W., Wulansari, I. Y., & Parwanto, N. B. (2024)
Small Area Estimation Approaches Using Satellite Imageries Auxiliary Data for Estimating Per Capita Expenditure in West Java, Indonesia.
Jurnal Aplikasi Statistika & Komputasi Statistik, 16(2), 205-221.
This article combines small area estimation with satellite imagery auxiliary data to improve local expenditure estimates.
DOI: 10.34123/jurnalasks.v16i2.799
Nulkarim, A. R. & Wulansari, I. Y. (2022)
M-Quantile Small Area Estimation for Household Per Capita Income: A Case Study of SubDistricts in Special Region Yogyakarta, Indonesia.
Proceedings of the 63rd ISI World Statistics Congress 2022.
The paper presents an M-quantile approach for estimating household per capita income at small-area level in Yogyakarta.
Talks and Conference Activity
Conference activity reflects ongoing engagement with official statistics, small area estimation, and applied statistical research communities in Australia and internationally.
The ISI World Statistics Congress
The Hague, Netherlands, 2025.
Participation in a major international statistics forum connecting research in official statistics with wider methodological discussion.
The Australian Statistical Conference (ASC)
Perth, Western Australia, 2025.
Conference participation within the Australian statistical community, alongside current work in small area estimation and official statistics.
Statistics Canada Methodology Symposium
Ottawa, Canada, 2024.
A methods-focused conference setting closely aligned with research on survey methodology and measurement error in covariates.
7th Australian Mathematical Sciences Students Conference
Sydney, Australia, 2024.
Participation in a research conference for mathematical sciences, supporting exchange across statistics and related quantitative fields.
Let’s Connect
One of the goals of this portfolio is to make meaningful professional and research connections. If our interests overlap, I would be glad to hear from you.