Forecasting Women, Infants, And Children Caseloads:A Comparison Of Vector Autoregression And utoregressive Integrated Moving Average Approaches

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Forecasting Women, Infants, And Children Caseloads:A Comparison Of Vector Autoregression And utoregressive Integrated Moving Average Approaches

VICTORIA LAZARIU - Nama Orang; CHENGXUAN YU - Nama Orang; CRAIG GUNDERSEN - Nama Orang;

Under the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), each state receives a fixed federal grant for the operation of WIC in the upcoming federal fiscal year. Accurate forecasting is vital because states have to bear the expenses of any underestimation of WIC expenditures. Using monthly data from 1997 through 2005, this paper examined the performance of two competing models, autoregressive integrated moving average (ARIMA) and vector autoregression
(VAR), in forecasting New York WIC caseloads for women, infants, and children. VAR model predicted over $120,000 less per month in forecast errors in comparison to the ARIMA model

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Judul Seri: Contemporary Economic Policy
No. Panggil: -
Penerbit: : Western Economic Association International., 2011
Deskripsi Fisik: Contemporary Economic Policy Vol. 29, No.1, 46–55
Bahasa: English
ISBN/ISSN: 14657287
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: -
Subjek: PSIKOLOGI
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Asmawati

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