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Hoi Quy Gia Trong Kinh Te Luong

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  • 1

    HI QUY GI TRONG KINH T LNG

    (Spurious Regression)

    inh Cng Khi

    Thng 05/2014

    GII THIU

    Trong cc nghin cu nh lng khng him trng hp

    chng ta gp kt qu hi quy cho thy c s tng quan

    gia 2 chui thi gian khng c lin quan vi nhau.

    V d, chng ta to ra 2 chui thi gian nh sau:

    Vi u ~ N(0,1); v ~ N(0,1); Cov(u, v) = 0; Y0 = 0; v X0 = 0

    ttt

    ttt

    vXX

    uYY

    1

    1

  • 2

    GII THIU

    Hi quy Y theo X cho thy c s tng quan gia 2 bin ny.

    Theo Yule (1926) tng quan ny l tng quan gi bi v 2

    chui thi gian ny khng dng (k c trong trng hp mu

    ln).

    Theo Granger v Newbold (1974), nu R2 > d chng ta nghi

    ng hi quy l hi quy gi

    KIM NH TNH DNG

    Phng php th

    Hm t tng quan mu (SAC) v correlogram

    H s tng quan mu k:

    k ~ N(0, 1/n)

    )(

    ),(

    0 t

    kttkk

    YVar

    YYCov

  • 3

    KIM NH TNH DNG

    Q-stat test

    H0: 1 = 2 = . = k =0

    Ha: C t nht mt k 0

    Dng Ljung-Box:

    m

    k

    knQ1

    2

    m

    k

    m

    k

    knnnQ

    1

    22

    ~

    )2(

    KIM NH TNH DNG

    Dickey-Fuller test (H0: chui thi gian khng dng)

    H0: = 1 hay = 0

    Yt = Yt-1 +ut

    Yt = Yt-1 +ut

    Yt = 1 + Yt-1 +ut

    Yt = 1 + 2t+ Yt-1 +ut

    Yt = 1 + 2t+ Yt-1 +i Yt-i +t (u c tng quan chui)

  • 4

    BIN I CHUI KHNG DNG

    THNH CHUI DNG

    i vi chui random walk (Yt = Yt-1 + ut)

    Ly sai phn bc 1 hoc bc 2

    i vi chui c tnh xu hng

    Yt = 1 + 2 t + ut,

    Kh tnh xu hng bng cch hi quy hm s trn , sau tnh

    *

    21

    ttt YtYu

    HI QUY NG KT HP

    (Cointegrating Regression)

    trong PCE l chi tiu tiu dng c nhn; PDI l thu

    nhp kh dng c nhn

    PCE v PDI l cc chui khng dng c th c hi quy

    gi (hi quy khng xc thc)

    Hi quy mt chui khng dng trn mt chui c khng

    dng khc c th l hi quy thc vi iu kin sau y:

    ttt uPDIPCE 21

  • 5

    HI QUY NG KT HP (tt)

    iu kin: Nu mt t hp tuyn tnh gia cc chui khng dng

    ny l mt chui dng th hi quy ny l hi quy thc v c

    gi l hi quy ng kt hp (cointegration regression).

    Nu ut dng hi quy ng kt hp

    Kt qu hi quy th hin mi quan h di hn, hoc im cn

    bng (equilibrium) gia cc 2 bin.

    2 c gi l h s gc ng kt hp (cointegrating coefficients)

    ttt PDIPCEu 21

    KIM NH NG KT HP

    Kim nh Engle-Granger (EG)

    H0: u^ c unit root (khng dng)

    S dng k thut kim nh ca DF nhng cc tr ti hn ca EG

    Gi tr kim nh DF l -3,78 so vi cc gi tr ti hn ca EG

    tng ng 1%, 5%, v 10% l -2,5899; -1,9439; v 1,6177

    ut c tnh dng, hay PCEt v PDIt l 2 chui ng kt hp

  • 6

    KIM NH NG KT HP (tt)

    Kim nh hi quy ng kt hp Durbin_Watson (CRDW)

    Ho: d = 0 ( = 1; u^ l chui khng dng)

    So snh DW trong kt qu hi quy ban u (d=0,5316) vi cc

    tr ti hn ca CRDW tng ng vi 1%, 5%, v 10% l

    0,511; 0,386; v 0,322

    Nu d ln hn tr ti hn bc b Ho

    NG KT HP v

    C CH HIU CHNH SAI S (ECM)

    Trong ngn hn, s ng kt hp c th b mt cn bng.

    ut th hin sai s cn bng (equilibrium error)

    C ch hiu chnh sai s c s dng sa cha s mt cn

    bng ny (Engle v Granger)

  • 7

    NG KT HP v

    C CH HIU CHNH SAI S (ECM)

    nh l Granger

    PCEt = 0 + 1PDIt + 2ut-1 + t

    PCEt v PDIt th hin bin ng ngn hn ca PCEt v

    PDIt, trong khi ut-1 th hin s hiu chnh hng ti di hn.

    Du ca 2 c k vng l m.

    |2 | th hin tc khi phc trng thi cn bng.

    1 o lng tc ng ngn hn ca PDI ln PCE

    NG KT HP v

    C CH HIU CHNH SAI S (ECM)

    PEt = 11,6918 + 0,2906 PDIt 0,086 u^t-1

    t (5,32) (4,17) (-1,60)

    R2= 0,17 d = 1,923