1A Kuliah SEM Intro00

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    Model Persamaan Simultan

    (Pendahuluan)

    Dr. Mahyus Ekananda

    Finance Economic Course

    Bank Indonesia

    27 kto!er sd " #o$em!er 2%%&

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    Apa itu Persamaan Simultan ?

    Merupakan himpunan persamaan (sistem)dimana variabel tak bebas dalam satu atau lebih

    persamaan juga merupakan variabel bebas didalam beberapa persamaan lainnya sebuahvariabel mempunyai dua peran sekaligus

    Hubungan antar variabel bersifat dua arah:mempengaruhi dan dipengaruhi

    Beberapa pengertian: endogenous, exogenous,predetermine, structural model, reduced form,structural or behavioral eq., technical eq.,identity eq., dan definition eq..

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    CONTOH (DASAR)

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    Simultaneous Equations Models

    11.1 A Supply and Demand Model

    11.2 The Reduced Form Equations

    11.3 The Failure of east Squares

    11.! The "dentification #ro$lem

    11.% T&o'Sta(e east Squares Estimation

    11.) An E*ample of T&o'Sta(e east Squares Estimation

    11.+ Supply and Demand at the Fulton Fish Mar,et

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    Simultan ?

    Merupakan himpunan persamaan (sistem)dimana variabel tak bebas dalam satu ataulebih persamaan juga merupakan variabel

    bebas di dalam beberapa persamaan lainnya sebuah variabel mempunyai dua peransekaligusHubungan antar variabel bersifat dua arah:

    mempengaruhi dan dipengaruhiBeberapa pengertian: endogenous, exogenous,predetermine, structural model, reduced form,structural or behavioral eq., technical eq.,identity eq., dan denition eq..

    Pemahaman

    Ekonometrika

    A P

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    Apa tu PersamaanSimultan ?A Supply and Demand Model Pemahaman Grafis

    1Supply- sQ P e= +

    1 2Demand- dQ P X e= + +

    2

    2

    / 0 ar /

    / 0 ar /

    co / 0

    d d d

    s s s

    d s

    E e e

    E e e

    e e

    = =

    = =

    =

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    Apa itu Persamaan Simultan ?Pemahaman Diagram Alir(Path Diagram)

    Dalam keadaan seimbang

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    Bagaimana PersamaanSimultan ditulis ?

    Cara Pertama

    Persamaan ditulis dalam persamaan keseimbangan

    Persamaan ditulis tidak menurut posisi ariabel endogen ! eksogen

    Predikat ariabel Eksogen dan endogen didefinisikan dilyar model

    1 2Demand- dQ P X e= + +

    1Supply- sQ P e= +

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    Bagaimana PersamaanSimultan ditulis ?

    Cara Pertama

    Persamaan ditulis dalam persamaan keseimbangan

    Persamaan ditulis tidak menurut posisi ariabel endogen ! eksogenPredikat ariabel Eksogen dan endogen didefinisikan dilyar model

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    "he #edu$ed %orm Equations

    ( ) ( )

    ( ) ( )

    1

    2

    1

    1 1 1 1

    1 2 1 1

    1 1 1 1

    2 2

    s

    d s

    s

    d s

    Q P e

    e eX e

    e eX

    X v

    = +

    = + +

    = +

    = +

    1 1 2s dP e P X e + = + +

    ( ) ( )2

    1 1 1 1

    1 1

    d se e

    P X

    X v

    = +

    = +

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    "he *dentifi$ation Problem

    The effect of chan(in( income

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    "he *dentifi$ation Problem

    A Necessary Condition for Identification: "n a system of M

    simultaneous equations &hich ointly determine the alues of M

    endo(enous aria$les at least M41 aria$les must $e a$sent froman equation for estimation of its parameters to $e possi$le. 5hen

    estimation of an equation6s parameters is possi$le then the

    equation is said to $e identified and its parameters can $e

    estimated consistently. "f less than M41aria$les are omitted from

    an equation then it is said to $e unidentified and its parameters

    can not $e consistently estimated.

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    "he *dentifi$ation Problem

    Remark- The t&o'sta(e least squares estimation procedure is

    deeloped in 7hapter 10 and sho&n to $e an instrumental

    aria$les estimator. The num$er of instrumental aria$les requiredfor estimation of an equation &ithin a simultaneous equations

    model is equal to the num$er of ri(ht'hand'side endo(enous

    aria$les. 7onsequently identification requires that the num$er of

    e*cluded e*o(enous aria$les in an equation $e at least as lar(e as

    the num$er of included ri(ht'hand'side endo(enous aria$les. This

    ensures an adequate num$er of instrumental aria$les.

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    ''+ ",o-Stage &east Squares

    Estimation

    1 1 1 /P E P v X v= + = +

    ( )

    ( ) ( )

    ( )

    1 1

    1 1 1

    1 8

    s

    s

    Q E P v e

    E P v e

    E P e

    = + +

    = + +

    = +

    19 9 P X=

    1 89 9Q P e= +

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    ''+ ",o-Stage &east Squares

    EstimationEstimatin( the 11.:/ $y least squares (enerates the so'called two-

    stage least squaresestimator of ;1 &hich is consistent and

    asymptotically normal. To summari

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    ''+' "he General ",o-Stage &east Squares

    Estimation Pro$edure

    1. Estimate the parameters of the reduced form equations

    $y least squares and o$tain the predicted alues.

    1 2 2 3 3 1 1 2 2 1y y y x x e= + + + +

    2 12 1 22 2 2 2

    3 13 1 23 2 3 3

    K K

    K K

    y x x x v

    y x x x v

    = + + + +

    = + + + +

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    ''+. "he Properties of the ",o-Stage &east

    Squares Estimator

    The 2SLSestimator is a $iased estimator $ut it is consistent.

    "n lar(e samples the 2SLSestimator is appro*imately normally

    distri$uted.

    Prini!les of Eono"etris# $rd Edition Slide 11-%&

    The ariances and coariances of the 2SLSestimator are un,no&n in

    small samples $ut for lar(e samples &e hae e*pressions for them&hich &e can use as appro*imations. These formulas are $uilt into

    econometric soft&are pac,a(es &hich report standard errors and t'

    alues ust li,e an ordinary least squares re(ression pro(ram.

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    ''+. "he Properties of the ",o-Stage &east

    Squares Estimator

    "f you o$tain 2SLS estimates $y applyin( t&o least squares

    re(ressions usin( ordinary least squares re(ression soft&are the

    standard errors and t-alues reported in theseondre(ression are not

    correct for the 2SLSestimator. Al&ays use speciali

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    An E/ample of ",o-Stage &east

    Squares Estimation

    Prini!les of Eono"etris# $rd Edition Slide11-%%

    "he #edu$ed %orm Equations

    1 2 3 !Demand-d

    i i i i iQ P PS '( e= + + + +

    1 2 3Supply-s

    i i i iQ P P) e= + + +

    11 21 31 !1 1

    12 22 32 !2 2

    i i i i i

    i i i i i

    Q PS '( P) v

    P PS '( P) v

    = + + + +

    = + + + +

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    *dentifi$ation

    The rule for identifyin( an equation is that in a system of M

    equations at leastM 1 aria$les must $e omitted from each

    equation in order for it to $e identified. "n the demand equation the

    aria$leP)is not included and thus the necessaryM 1 > 1 aria$le

    is omitted. "n the supply equation $othPSand'(are a$sent? more

    than enou(h to satisfy the identification condition.

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    "he #edu$ed %orm Equations

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    "he #edu$ed %orm Equations

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    ''0. "he #edu$ed %orm Equations

    12 22 32 !2

    9 9 9 9 9

    32.%12 1.+0: +.)02 1.3%!

    i i i i

    i i i

    P PS '( P)

    PS '( P)

    = + + +

    = + + +

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    Supply and Demand at the %ulton %ish

    Market

    ( ) ( )1 2 3 ! % )ln ln d

    t t t t t t t Q*+, P-(.E M/, 0*E 1E' 02* e= + + + + + +

    ( ) ( )t 1 2 3ln ln s

    t t tQ*+, P-(.E S0/-M3 e= + + +

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    *dentifi$ation

    The necessary condition for an equation to $e identified is that in this

    system ofM> 2 equations it must $e true that at leastM4 1 > 1

    aria$le must $e omitted from each equation. "n the demand equation

    the &eather aria$le S0/M3is omitted &hile it does appear in the

    supply equation. "n the supply equation the four daily dummy

    aria$les that are included in the demand equation are omitted.

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    "he #edu$ed %orm Equations

    ( ) 11 21 31 !1 %1 )1 1ln t t t t t t t Q*+, M/, 0*E 1E' 02* S0/-M3 v= + + + + + +

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    "he #edu$ed %orm Equations

    ( ) 12 22 32 !2 %2 )2 2ln t t t t t t t P-(.E M/, 0*E 1E' 02* S0/-M3 v= + + + + + +

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    "he #edu$ed %orm Equations To identify the supply cure the daily dummy aria$les

    must $e ointly si(nificant. This implies that at least one

    of their coefficients is statistically different from

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    "he #edu$ed %orm Equations

    ( )! 12 22 32 !2 %2 )29 9 9 9 9 9ln t t t t t tP-(.E M/, 0*E 1E' 02* S0/-M3= + + + + +

    ( )

    !

    12 )29 9ln t tP-(.E S0/-M3= +

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