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Cites:

Information Journal Paper

Title

A RECOMMENDATION ON ESTIMATING PROVINCIAL UNEMPLOYMENT RATE

Pages

  139-156

Keywords

STRUCTURE PRESERVING ESTIMATION (SPREE)Q4

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.

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  • Cite

    APA: Copy

    NAVABPOUR, H.R., KHOSHGOOYAN FARD, A.R., & TAHERI MONAZZAH, M.. (2002). A RECOMMENDATION ON ESTIMATING PROVINCIAL UNEMPLOYMENT RATE. IRANIAN ECONOMIC RESEARCH, 4(11), 139-156. SID. https://sid.ir/paper/2796/en

    Vancouver: Copy

    NAVABPOUR H.R., KHOSHGOOYAN FARD A.R., TAHERI MONAZZAH M.. A RECOMMENDATION ON ESTIMATING PROVINCIAL UNEMPLOYMENT RATE. IRANIAN ECONOMIC RESEARCH[Internet]. 2002;4(11):139-156. Available from: https://sid.ir/paper/2796/en

    IEEE: Copy

    H.R. NAVABPOUR, A.R. KHOSHGOOYAN FARD, and M. TAHERI MONAZZAH, “A RECOMMENDATION ON ESTIMATING PROVINCIAL UNEMPLOYMENT RATE,” IRANIAN ECONOMIC RESEARCH, vol. 4, no. 11, pp. 139–156, 2002, [Online]. Available: https://sid.ir/paper/2796/en

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