HETEROSCEDASTICITY: WHAT HAPPENS IF THE ERROR VARIANCE IS NONCONSTANT? Ekonometrika - Ekonomi Islam
REVIEW QUESTIONS 1. What is the nature of heteroscedasticity? 2. What are its consequences? 3. How does one detect it? 4. What are the remedial measures? 3/3/2021 2
THE NATURE OF HETEROSCEDASTICITY 3/3/2021 3
LIHAT GAMBAR BERIKUT 3/3/2021 4
LANJUT 3/3/2021 5
SEVERAL REASONS WHY THE VARIANCES OF UI MAY BE VARIABLE… 1. Following the error-learning models, as people learn, their errors of behavior become smaller over time. 2. As incomes grow, people have more discretionary income and hence more scope for choice about the disposition of their income. 3. As data collecting techniques improve, variance is likely to decrease. 4. Heteroscedasticity can also arise as a result of the presence of outliers. 5. Another source of heteroscedasticity is skewness 6. Other sources of heteroscedasticity: As David Hendry notes, heteroscedasticity can also arise because of (1) incorrect data transformation (e. g. , ratio or first difference transformations) and (2) incorrect functional form (e. g. , linear versus log–linear models). 3/3/2021 6
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! Note that the problem of heteroscedasticity is likely to be more common in crosssectional than in time series data. Why ? 3/3/2021 9
Perhatikan angka kompensasi di tiap industry… 3/3/2021 10
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DETECTION OF HETEROSCEDASTICITY Informal method Nature of problem Graphical method Park test TEST OF HETERO Glejser test Spearman test Formal method Goldfelt test Breusch-Pagan test 3/3/2021 White test 12
GRAPHICAL METHOD 3/3/2021 13
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PARK TEST Park formalizes the graphical method by suggesting that σi 2 is some function of the explanatory variable Xi. 3/3/2021 15
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CONTOH UJI PARK 3/3/2021 17
GLEJSER TEST 3/3/2021 18
CONTOH GLEJSER TEST 3/3/2021 19
WHITE’S GENERAL HETEROSCEDASTICITY TEST 3/3/2021 20