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ECONOMETRICS By Prof. Burak Saltoglu

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Title: ECONOMETRICS By Prof. Burak Saltoglu


1
ECONOMETRICSBy Prof. Burak Saltoglu
  • Lecture 5
  • Statistical Inference

2
Standard Normal Distribution
  • Standard normal distribution is a normal
    distribution with 0 mean and 1 variance. To
    standardize a normal distribution, we define

Then
3
Standard Normal Distribution
4
Chi Distribution
  • If denote m independent N(0,1), random
    variables, then

And
5
Chi Distribution
6
t-Distribution
  • A t random variable is formed by dividing a
    standart normal variable by the square root of an
    independent chi-square random variable.

7
t-Distribution
8
F-Distribution
  • An F random variable is formed by the ratio of
    two independent chi-square random variables that
    have been divided by their degrees of freedom.

9
F-Distribution
10
Interval Estimation on Regresion Coefficents and
Hypothesis Testing
which is an unbiased estimator of
11
Interval Estimation, Hypothesis Testing
  • Our focus
  • The sampling variability of the estimators.
  • Because of the sampling fluctuations, a single
    point estimator is likely to differ from the
    true value.
  • In stead of relying on the point estimate alone,
    we may construct an interval around the point
    estimator.

12
Confidence Interval of
We know
Then
which is standart normal.
We also know
13
Confidence Interval of
Consider
14
Confidence Interval of
  • But

if
Then,
15
Confidence Interval of
Then we can use this test statistic to construct
confidence intervals and for hypothesis testing.
16
Hypothesis Testing
  • One Sided Tests

or
17
Hypothesis Testing
Choosing , the Level of Significance
is the probability of committing Type I error
the probability of rejecting the true
hypothesis . Since we dont know the costs of
making the two types of errors by convention
is set to 0.05 or 0.01. The exact level of
significance P is the exact probability of
committing Type I error.
18
Hypothesis Testing
  • In general,
  • , where c is a constant, against the
    alternative , we compute the value of the test
    statistic
  • We reject if

19
Prediction Intervals
20
Prediction Intervals
21
END
  • End of lecture
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