Use a method combining time-series data to estimate the logarithmic regression model applied study of large industrial plants in Iraq

Fron Abiellatif, Hisham; Sulltan Muohamad, Ahmed; Yaaqub Yousif, Haitham

	Use a method combining time-series data to estimate the logarithmic regression model applied study of large industrial plants in Iraq
Journal of Research Diyala humanity
Article 1, Volume 0, Issue 42, 2017, Pages 225-249
Authors
hisham fron abiellatif; ahmed sulltan muohamad; haitham yaaqub yousif
Abstract
Statistical data are published in two forms two main annual data and CT data The first order of the numbers is the annual totals are published on a regular basis each year, either cross-sectional data are data issues between the periods of time may be equal or equal the totals in this case is called a balanced cross-sectional data) balanced panel ( or periods, the totals are not equal and this is called data-sectional unbalanced) unbalanced panel data (depending on the nature of the activities reflected in these data have been relying on this research data CT balanced, represented by the sector and the public, mixed, cooperative, private for the period 2000_2005 for large industrial plants in Iraq Hence the importance of research in the statement of the contribution of each of these sectors in the production process, using the regression model logarithmic so that represents the independent variables and the value of wages and salaries paid, the number of labor As for the variable adopted was exemplified the value of production has been used method) pooled least square (in the estimate as well as models of fixed effects and random intervals and totals and comparison between them and the extent of the efficiency of each model using the program Econometrics (5.1 LIMDEP 8.0, Eviews) On this basis, the research is divided into Part I, containing the Introduction and importance of research and the goal and hypotheses as well as profile historical development of some indicators the economy, for large industrial plants in Oer Aq The second section has reviewed the researchers theoretical side of the data models cross-sectional and fixed effects and random periods and groups in addition to the tests used to determine the efficiency of those models while ensuring the door the third side of the ground and the goal of the presentation and discussion Results Part IV may have the conclusions reached by the researchers and included significant fixed effects and random groups and recommendations, which include the need to enhance the contribution of the work element in the production process through training courses and development of the contribution of wages and by increasing the rewards and incentives and salary increases
Keywords
balanced panel; unbalanced panel data

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