Logit Transformation on Unit level Small Area Estimation with First Order Autoregressive Time Effects

Authors

  • Dian Surida  Department of Statistics, Bogor Agricultural University, West Java, Indonesia
  • Anang Kurnia  Department of Statistics, Bogor Agricultural University, West Java, Indonesia
  • Siti Muchlisoh  Politeknik Statistika STIS, Jakarta, Indonesia

Keywords:

EBLUP, Area Unit Level, Rao-Yu Model, Unemployment Rate, Logit Transformation

Abstract

Indonesian labor force participation data are collected by Sakernas (National Labor Force Survey). The main purpose of Sakernas is to obtain information about the unemployment rate and its changes over time. Model-2 is the Rao-Yu unit model (Model-1) with modeling was done by logit transformation approach. The empirical study using Sakernas rotational panel data for 2011-2014 shows that the Empirical Best Linear Unbiased Prediction (EBLUP) of Model-2 gives a lower MSE compared to Model-1.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-08-30

Issue

Volume 4, Issue 9, July-August-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dian Surida, Anang Kurnia, Siti Muchlisoh, " Logit Transformation on Unit level Small Area Estimation with First Order Autoregressive Time Effects , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.369-374, July-August-2018.