Estimation of unemployment rates using small area estimation model by combining time series and cross-sectional data

Muchlisoh, Siti; Kurnia, Anang; Notodiputro, Khairil Anwar; Mangku, I Wayan

doi:10.1063/1.4940870

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…We expect that by adding time factor fixed effect we can improve the performance of the estimators. Moreover, Muchlisoh et al [4] as well as Sadik and Notodiputro [9] showed that incorporating time effects in SAE could improve the precision of the estimates.…”

Section: Introductionmentioning

confidence: 99%

Small area estimation models with time factor effects for repeated measurement data

Susianto¹,

Notodiputro²,

Kurnia³

et al. 2017

ams

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There has been an increasing demand for small area statistics based on sample survey in last few years. Generally, sample survey is designed for a specific area with large sample size. Since the sample size of a specific area is small, a direct estimation for sub population fails to provide enough precision. On the other hand, the per capita expenditure as a measure of prosperity and well-being is becoming an important issue in developing countries. In Indonesia, the available data related to this issue is usually measured repeatedly in quarterly using the national social-economic survey (Susenas). There are two problems to analyze Susenas data in district level. Firstly, the sample size in each quarter is relatively small. Secondly, the auxiliary data usually is available yearly only. To overcome this problem, a proper estimation technique was exercised using modeling systems. An extended of small area estimation (SAE) technique, based on both Fay-Herriot and Rao-Yu models in repeated measurement using Susenas data was discussed. Especially, SAE models with time factor effects motivated by Rao and Yu [7] were proposed. The performances of these models were evaluated by comparing the root mean square error (RMSE) and coefficient of variation (CV) of the estimators. The results showed that Rao-Yu with time factor effect models produced smaller RMSE which led to a significant reduction in a CV relative to other models.

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Section: Introductionmentioning

confidence: 99%

Small area estimation models with time factor effects for repeated measurement data

Susianto¹,

Notodiputro²,

Kurnia³

et al. 2017

ams

Self Cite

View full text Add to dashboard Cite

show abstract

“…Estimates from an SAE model for the rotation group level, combined with the time-series multilevel model and the Rao-Yu model, have produced data to estimate a quarterly unemployment rate at the district level. aMuchlisoh et al 2015. Estimation of unemployment rate using small area estimation model based on a rotating panel national labor force survey.…”

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confidence: 99%

Practical Guidebook on Data Disaggregation for the Sustainable Development Goals

2021

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The “leave no one behind” principle espoused by the 2030 Agenda for Sustainable Development requires measures of progress for different segments of the population. This entails detailed disaggregated data to identify subgroups that might be falling behind, to ensure progress toward achieving the Sustainable Development Goals (SDGs). The Asian Development Bank and the Statistics Division of the United Nations Department of Economic and Social Affairs developed this practical guidebook with tools to collect, compile, analyze, and disseminate disaggregated data. It also provides materials on issues and experiences of countries regarding data disaggregation for the SDGs. This guidebook is for statisticians and analysts from planning and sector ministries involved in the production, analysis, and communication of disaggregated data.

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Multivariate Fay-Herriot models for small area estimation with application to household consumption per capita expenditure in Indonesia

Ubaidillah

Notodiputro

Kurnia

et al. 2019

Journal of Applied Statistics

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Estimation of unemployment rates using small area estimation model by combining time series and cross-sectional data

Cited by 3 publications

References 8 publications

Small area estimation models with time factor effects for repeated measurement data

Small area estimation models with time factor effects for repeated measurement data

Practical Guidebook on Data Disaggregation for the Sustainable Development Goals

Multivariate Fay-Herriot models for small area estimation with application to household consumption per capita expenditure in Indonesia

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