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    • ABOUT US : THE TEAM
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  • Productivity Measurement
    • Measurement Model
    • Time-Trend Measurement Analysis
    • Profit/Lose Static [One-time-period] Firm-to-Industry Report
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    • TOPIC-2: PRODUCTIVITY DECOMPOSITION: UNDERLYING THEORY
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    • TOPIC-4: PRODUCTIVITY AND CAPACITY UTLIZATYION
    • Topic! -5: Productivity and Inefficiency
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  • Advance Data Analysis

Advance Data Analysis

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Basic econometric techniques, emphasizing the applications of least squares to cross section and time-series data; covers mainly the simple and multiple linear regression models, the associated distribution theory and testing procedures; corrections for autocorrelation, heteroskedasticity, multicollienerity; and other extensions such as.

​Participants also apply the techniques to a variety of data sets using PCs
By taking part in this workshop you will achieve: 
A general introduction to the econometric theory its applications  understanding and appreciation for the functional relationship and  applicationsIdentifying the strengths and weaknesses of specific econometric models. To make appropriate choose of model(s) that address a given research question.
 
Analyzing and understanding the underlining econometric properties and then apply the methods to the data.  The use and application of econometric software such as Eviews 

To complete several assignments using both macro and micro economic data.  Applying the econometric techniques to perform some real word research questions.  

Topics covered

Simple regression analysis:  estimation and hypothesis testing
  • Estimation of parameters of simple regression
  • Inference in the simples Regression Model
  • Confidence intervals
  • Prediction and Predication Intervals

Multiple regression analysis:  estimation and hypothesis testing
  • Estimation of parameters of multiple regression
  • Inference in the Multiple Regression Model
  • Confidence intervals
  • The test of significance approach hypotheses testing
  • Hypothesis about individual partial regression coefficients.
  • Testing the joint hypothesis.
  • How good is the fitted regression line:
  • How to measure elasticity and rate of change
  • Important relationship between F  and  R2
  • When to add an additional explanatory variable to a model.
  • Restricted least squares.

 
Who Should Attend?
All personnel involved in quantitative analysis and efforts.

Method of Delivery
The material of the workshop will be delivered with the aid of PowerPoint presentation. Spreadsheet applications (i.e., Excel® and Eview®) are utilized throughout the workshop. Some Computing knowledge is required.

 
​Venue: TBA
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  • Home
    • ABOUT US : THE TEAM
    • Contact US
    • Registration
  • Productivity Measurement
    • Measurement Model
    • Time-Trend Measurement Analysis
    • Profit/Lose Static [One-time-period] Firm-to-Industry Report
  • Productivity Academy!
    • Productivity
    • TOPIC-2: PRODUCTIVITY DECOMPOSITION: UNDERLYING THEORY
    • TOPIC-3: PRODUCTIVITY AND TECHNOLOGICAL CHANGE
    • TOPIC-4: PRODUCTIVITY AND CAPACITY UTLIZATYION
    • Topic! -5: Productivity and Inefficiency
  • Training&Consulting
    • Consulting Services
    • TrainingWorkShop