دراسة قياسية للنماذج الديناميكية مع تطبيقها على التنبؤ بالعمالة فى مصر

An Econometric Study of Dynamic Models with Application on Forecasting Labor in Egypt

Tarek Mohamed Khaleel and Emad Shehata

MPRA Paper from University Library of Munich, Germany

Abstract: There are many econometric methods for forecasting by different economic variables in the future. recently, the procedures of dynamic forecasting either for univariate or multivariate models were available for estimation on the software packages, i.e., EVIEWS, SAS, and SHAZAM. The research problem of the study, concerned with the different types of such dynamic models, with respect to, estimation, choosing the best fit model for forecasting by the economic variables, i.e., labor and wages on the agricultural and national level. So the objective study, is to concentration and determination the best forecasting model among univariate and multivariate dynamic time series models. The time series data on the agricultural and national level were collected from the ministry of planning during the period (1975-2002). The methodology framework discussed the theoretical and mathematical approach for the dynamic univariate models, i.e., autoregressive integrated moving average (ARIMA), and multivariate models, i.e., vector autoregressive (VAR), vector error correction model (VECM), and state space model (SSM). The dynamic models contain four stages that have, identification, i.e., stationarity and cointegration tests, model selection criteria for determination the lag length, causality test, and choosing the techniques of estimation,also estimation stage, diagnostic stage for model accuracy, and forecasting stage. The study estimated the dynamic models by maximum likelihood estimation (MLE) for (ARIMA) models, and by seemingly unrelated regression for (VAR) and (VECM) models, during the period (1975-2002), and forecasting by labor and wage through the period (2003-2012). The estimation and forecasting results, indicated that the agricultural labor will increase at decreasing rate, also the relative share of agricultural labor and the total agricultural wages will decrease during the period subject to forecasting. The national labor will increase at increasing rate. Finally the study recommended by cultivation crops, adoption technology, and encouragement the investment in projects that have intensive labor, the expanding in reclamation and cultivation new lands and national projects, also increasing wages that reflect the labor productivity and performance level for increasing the efficiency of labor input.

Keywords: Forecasting; Labor; ARIMA; VAR; VECM; State Space (search for similar items in EconPapers)
JEL-codes: C5 (search for similar items in EconPapers)
Date: 2004-04, Revised 2004-04
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/43442/1/MPRA_paper_43442.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:43442

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().