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2sls_lpga

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    Instrumental Variables: 2-Stage and 3-Stage Least Squares Regression of a

    Linear Systems of Equations

    2009 LP! Performan"e Statisti"s andPri#e $innings

    %%%&l'ga&"om

    S&(& )allan and (&*& +,omas 200./& *odeling t,e 1eterminants of a Professionalolfers +ournament Earnings4 (ournal of S'orts E"onomi"s Vol& 5 6o& 7 ''& 397-788

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    1ata 1es"ri'tion

    Pri#e $innings and Performan"e Statisti"s for n 87

    'rofessional %omen LP!/ golfers for 2009 season E;ogenous Performan"e Variables:

    !

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    System of Equations )allan and +,omas 200./

    8& !

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    Potential Problems %it, Endogenous Predi"tors

    $,en endogenous may be "orrelated %it, t,e errorterm %it,out a

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    *odel Cuilding Pro"ess

    8& Regress all endogenous

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    irst Stage Regressions for S"ore and Ran>

    +,e @tted 'redi"ted/

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    Equation 8/ - S)ARE is related to SFILLS and e;'erien"e

    !ll

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    Equation 2/ - Ran> is related to S)ARE and E as Per"entile %it,800 meaning golfer %one

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    Equation 3/ ? lnPri#e/ is related to Ran> and)om'leted E& !80H in"rease inRan> 'er"entile/in"reases lnPri#e/by 0&D

    In"rease %it,)om'leted E

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    *atri; !''roa",: *odels %J Endogenous Predi"tors

    Matrix of Instrumental aria!les" Inter#e$t an% & Exo'enous (aria!les

    Inter#e$t) *ri(e) +air,a-) .reens) San%Sa(e) Putts) Roun%s) E(ents) Com$lete%

    Matrix of Pre%i#tors for Mo%el"

    Mo%el 2" Inter#e$t

    Z

    X

    ) S#ore /A#tual) not $re%i#te%) E(ents

    Mo%el 3" Inter#e$t) Rank) Com$lete%

    e#tor of Res$onses"Mo%el 2" Rank Mo%el 3" ln/Prize

    2Sta'e east Suares Estimator an% Estimate% arian#eCo(arian#e

    Y

    ( )( ) ( ) ( )

    ( )

    { } ( )

    ( )

    42 2

    2

    Matrix"

    5

    /

    1

    SSEV s s SSE

    n rank X

    SSRSSR R

    n SSR SSE

    = = =

    = = +

    ^ -1-1 -1 -1

    Z Z2SLS

    -1

    Z

    ^ ^ ^-1

    Z2SLS 2SLS 2SLS

    -1

    Z Z Z n

    = X'Z Z'Z Z'X X'Z Z'Z Z'Y = X'P X X'P Y

    P = Z Z'Z Z'

    X'P X Y - X Y - X

    Y' P X X'P X X'P J Y

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    *odel 2 ? Ran> fS"ore E

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    *odel 3: lnPri#e/ fRan>)om'leted/

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    Robust Estimate of Varian"e of 2SLS Estimator

    E;a"t same met,od for equation 3

    { }

    { } [ ] [ ]{ } [ ] [ ]

    [ ] ( ) ( ) [ ]

    221 21

    2

    222 222 2

    22 2

    1 1 1

    1 1

    0 0

    0 0

    0 0

    Re$la#in' ,it6 its est

    i i

    n n

    V V

    V V

    = = =

    = =

    =

    ^

    Z Z Z Z Z Z2SLS

    -1 -1

    Z Z

    X'P X X'P Y X'P X X'P P X X'P X

    X'P X X'Z Z'Z Z'Z Z'Z Z'X X'P X

    Z'Z

    L

    L

    * * * A *

    L

    { } [ ] ( ) ( ) [ ]

    2

    21

    2

    222

    2 2 2

    12

    2

    41 1

    imator"

    0 0

    0 0

    0 0

    n

    i i i

    i

    n

    e

    ee e Y

    e

    V

    =

    = =

    =

    1 1

    ^ ^

    2 2i i i 2SLS

    n n

    ^ ^-1 -1

    Z Z2SLS

    ' 'z x

    ' 'z x' 'S = Z' Z z z x Z = X =

    ' 'z x

    X'P X X'Z Z'Z S Z'Z Z'X X'P X

    L

    L

    * * A * * *L

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    Results for *odel 2: Ran> fS"ore E

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    Results for *odel 3: lnPri#e/ fRan>)om'leted/

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    3-Stage Least Squares

    E;tension of 2-Stage Least Squares t,atallo%s for a "o

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    *odel 1es"ri'tion - I

    ( )

    i 0 1 1

    i 0 SCORE i 2 2

    i 0 RANK i 3 3

    11 21

    12 22

    1 2

    1)178 2)178

    Mo%el 1" SCORE

    Mo%el 2" Rank SCORE

    Mo%el 3" ln Prize Rank

    D i F i G i S i P i R i i i

    E i i i

    C i i i

    D F G S P R Y

    E Y

    C Y

    Y Y

    Y Y

    Y Y

    = + + + + + + + == + + + =

    = + + + = = =

    Y Y* *

    31

    32

    3

    3)178

    1 1 1 1 1 1 1 1 1 1

    2 2 2 2 2 2 2 2 2 2

    3

    178 178 178 178 178 178 178 178 178 178

    1 1 1

    1 1 1

    1 1 1

    Y

    Y

    Y

    D F G S P R SC E RA C

    D F G S P R SC E RA C

    D F G S P R SC E RA C

    = =

    = = =

    1

    2

    3

    1 2

    Y

    Y Y Y

    Y

    X X X

    *

    * * * * * * * * * * * * *

    4

    178 1782

    11 1 12 1 2 13 22 23 33

    1 1

    11 12 13

    21 22 23

    1) 2)3 are resi%uals from 2Sta'e east Suares Re'ressions

    1 19 9 an% so on for ) ) )

    178 : 178 /: 3 ; 2

    kiki ki

    i i i

    i i

    e Y Y k

    S e S e e S S S S

    S S S

    S S S

    = =

    =

    = =

    +

    =

    1

    2

    3

    X 0 0

    X 0 X 0

    0 0 X

    S ( )11 1

    31 32 33S S S

    = =

    ZW S Z Z'Z Z' S P

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    *odel 1es"ri'tion - II

    ( ) ( )( ) ( )

    { } ( ) ( )( )

    1

    4 11

    11 12 13 11 12 13

    1 21 22 23 21 22 23

    31 32 33 31 32 33

    11

    ,6ere"

    V

    S S S S S S

    S S S S S S

    S S S S S S

    S

    = =

    = =

    = =

    =

    ^-1 -1 -1-1 -1

    3SLS

    ^-1-1

    3SLS

    Z Z Z

    Z Z Z

    Z Z Z

    1 Z

    X'WX X'WY X'S Z Z'Z Z'X X'S Z Z'Z Z'Y

    X'WX X'S Z Z'Z Z'X

    P P P

    S W P P P

    P P P

    X 'P

    X'WX

    12 13

    21 22 23

    31 32 33

    11 12 13

    21 22 23

    31 32 33

    S S

    S S S

    S S S

    S S S

    S S S

    S S S

    + += + + + +

    1 1 Z 2 1 Z 3

    2 Z 1 2 Z 2 2 Z 3

    3 Z 1 3 Z 2 3 Z 3

    1 Z 1 1 Z 2 1 Z 3

    2 Z 1 2 Z 2 2 Z 3

    3 Z 1 3 Z 2 3 Z 3

    X X 'P X X 'P X

    X 'P X X 'P X X 'P X

    X 'P X X 'P X X 'P X

    X 'P Y X 'P Y X 'P Y

    X'WY X 'P Y X 'P Y X 'P Y

    X 'P Y X 'P Y X 'P Y

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    Estimation Results

    EM8

    EM2

    EM3

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    S!S Programdata l'ga2009Nin@le Ol'ga2009&datONin'ut golfer dries dri: model a: model a "om'lete J ;';Nout'ut residuale3N

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    S+!+! Program

    ins,eet using l'ga2009meq&"s