Weeks | Topics |
1 |
The Assumptions of Classical Regression Model
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2 |
An Introduction to Stata
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3 |
Interpreting regression estimates and Analyze of Variance(ANOVA)
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4 |
Specifying the functional form
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5 |
Regression with non-i.i.d. errors(Baum chp.6)
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6 |
The generalized linear regression model and Feasible GLS
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7 |
Mid-Term
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8 |
The generalized linear regression model and Feasible GLS
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9 |
Serial correlation in the error distribution
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10 |
Indicator variables (Baum chp. 8 )
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11 |
Seasonal adjustment with indicator variables (Baum chp. 8 )
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12 |
Regression with Time series, Nonstationary Variables and Unit Roots (Hill, Griffiths, Lim chp.12)
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13 |
Cointegreation (Hill, Griffiths, Lim chp.13)
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14 |
VAR Models
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