Iranian Journal of Economic Research

A RECOMMENDATION ON ESTIMATING PROVINCIAL UNEMPLOYMENT RATE

Document Type : Research Paper

Authors

Hamidreza Navvabpour 1
Ali Reza Khoshgoyanfard 2
Mohammad Taheri Monazah 3

1 Assistant Professor Allameh Tabatabai University

2 Researcher of the Radio and Television Research Center of the Islamic Republic of Iran

3 Expert of Iran Statistics Center

Abstract
Due to budget and time constraints, the National Statistical Organizations usually design their surveys and optimize the size of samples at a larger geographical level e.g. the national level. This causes the economic researchers, planners, and decision-makers not to have access to their required data at the smaller geographical levels or in terms of some specific characteristics.
In order to meet their statistical needs, the data users have resorted to the other agencies producing statistics which design their surveys and optimize size of samples at a smaller geographical level such as Ostan (province). Unfortunately this could impose a heavy cost on the country's budget, lengthen the process of data collection and dissemination and bring about the non-sampling errors with a higher proportion in the process. This paper, introducing some Small Area Estimation (SAE) methods, attempts to recommend an appropriate method, for estimating unemployment rates at the provincial level.

Keywords

EMPIRICAL BAYES ESTIMATOR
INDIRECT ESTIMATOR
STRUCTURE PRESERVING ESTIMATION (SPREE)
SYNTHETIC ESTIMATOR
POST-STRATA
SMALL AREA

  • Receive Date 14 May 2016
  • First Publish Date 14 May 2016

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