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Supplement to the paper "Asymptotic expansions in multi-group analysis of moment structures with an application to linearized estimators" and

errata for the paper on the ADF chi-square statistic.

Haruhiko Ogasawara

This note is to supplement Ogasawara (in press), and gives errata for Ogasawara (2009).

10 Supplement to Ogasawara (in press) Let

n- I - (mAB) - = (nCok) n('2k») =

(

n(k) n(k,2k) J (n(k

O)

J

- - nC2k,k) n(2k) n(2k o )

(A, B = 1, ... , G * p **),

n- I - n(2k) d E (0) = E E (0) L

(2klk) - an ul- u(k)lr U(2k) 1!l(2klk),U(k)

0

et

(·)(A-D) = ()(ABCD) and (\A-F) = (\ABCDEF) . Then, the expectation of b(2)

with the redefinition of U(2k) - N(n(2k,k)n~IU(k)' n(2klk») IS

E ol _ (h(2) )(AB) = {n- 1 E ul_ (uu ')n- 1 } AB - mAE

(135J

(2)

136

r = gll2 (I _ 2itgIl2 J gIl2 )-1 gIl2 = gll2 (,hp P '+ P P ')g1l2

7l G* p* 7l 0 7l 7l 7l tp 1 1 2 2 7l

= gl/2pWp'gll2 = gIl2(,hQ +Q )g1/2

7l 7l 7l tp 1 2 7 l '

(

¢I + 0 J

P = (PI P 2 ), PP' = IG*p*' W = P ,QI = PIP 1 ',Q2 = P 2 P 2 '.

o Iq

Then,

E (h) - (g(ok)r g(k o ) ) + (g(02k)g g-lr g(k o ) )

ujo (2) (AB) - AB (2k,k) J[ AB

+(g(ok)rg-l g g(2k o)) + (g(02k)g g-lrg-I g g(2k o))

J[ (k,2k) AB (2k,k) J[ J[ (k,2k) AB + (g(02k) g g(2k o ) ) _ mAB

. (2klk) AB

= da{ g(ok)g1l2Q g1l2 g(k o ) + g(02k)g g-II2Q g1l2 g(ko)

tp J[ 1 J[ (2k,k) J[ 1 J[

+g(ok)gIl2Q g-I12g g(02k)

J[ 1 J[ (k,2k)

+ g(02k)g g-1I2Q g-1I2g g(02k) }

(2k,k) J[ 1 J[ (k,2k) AB

+ { g(ok)gIl2Q g1l2 g(k o ) + g(02k)g g-I12Q gII2 g(k o )

J[ 2 J[ (2k,k) J[ 2 . J[

+ g(ok)gII2Q g-ll2g g(02k)

J[ 2 J[ (k,2k)

+ g(02k)g g-1/2Q g-ll2g g(02k)

(2k,k) J[ 1 J[ (k,2k) + g(02k)g g(02k)} _ mAB

(2klk) AB

=¢(Q;)AB + (Q;)AB + (g*)AB _m AB

= ¢(Q;)AB + (R*)AB _m AB

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~45 * * AB * CD * AB CD * +¢ ~ {(R )AB(R )CD -OJ (R )CD -OJ (R)AB +OJ OJ }(Ql)EF

+ 2: 15 (R*)ABCR*)CDCR*)EF _2: 45 OJABCR*)CDCR*)EF

+ 2: 45 OJABOJCDCR*)EF _ 2: 15 OJABOJCDOJEF CA,B,C,D,E,F = 1, ... ,G* p**).

Define

A~~F = 2: 15 (Q;)AB(Q;)CD(Q;)EF' A~~D = 2: 3 (Q;)AB(Q;)CD'

A A-F - (5) - ~45 L...J {(R*) (R*) AB CD - ( j ) AB(R*) CD -(j) CD(R*) AB +(j) AB. CD}(Q*) (j) 1 EF' A~~ = CR*) AB - OJAB,

A~~D = 2: 3 (R*)AB(R*)CD - 2: 6 OJAB(R*)CD + 2: 3 OJABOJCD,

A~~F = LIS (R*)AB(R*)CDCR*)EF - 2: 45 WABCR*)CDCR*)EF

+ 2: 45 wABwCD(R*)EF - LIS wABWCDOJEF,

B~~D = L3 CUQ;)ADCUQ;U)BC'

B~2}D = 2: 3 {CUQ;)AD(UR*U)BC +CUR*)AD CUQ;U)BC} '

B~~D = 2: 3 CUR*)ADC!lR*U)BC'

B~~F = 2: 6 (UQ;)ADcnQ;)BEcnQ;)CF + 2: 9 cnQ;n)AB(Q;)DE(nQ;)CF'

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138

C~2}F = L: 45 (!lQ;!l)AB (!lQ;!l)CD (!lR*!l)EF'

c~3lF = L: 45 (!lQ;!l)AB(!lR*!l)CD(!lR*!l)EF'

C(4) A-F = ,,15 L.J (!lR*!l) (!lR*!l) (!lR*!l) AB CD EF (A, ... ,F = 1, ... ,G* p**).

Then, after some algebra (see Ogasawara, 2009),

C r (t*) = tjJP+ 12 {I + N:I (a(3) tjJ3 + a(2) tjJ2 + a(1) tjJ + a(O)

+ it* bel) +(it*)2 b(2»)} + O(N.-2),

where

(3) _ ,,[_1 {(R<2» A(I) + 8 3 Po (R) B(4) }

a - L.J 7· 2 P(3) (A-F) A-F 8 8 8 P(3) (DEF) A-F

A-F . TA TB Tc

1 8 3 Po 8 3 Po ",(1)]

+-- 288 C AF ,

8TA8TB8Tc 8TD8TE8TF -

(5)
(6)

140

2. Errata for Ogasawara (2009)

Ogasawara's (2009, Equations (4.4) and (4.5» result with k=2 and without mean structures corresponding to the result in the previous section is a special case of this note, and should be corrected by using the definitions of

* * n* *

QJ' Q2'~" and R given earlier. See also Ogasawara (2010) for an additional minor erratum in Ogasawara (2009, Equations (4.6) and (4.7».

References

Ogasawara, H. (2009). Asymptotic expansions of the distributions of the chi-square statistic based on the asymptotically distribution-free theory in covariance structures. Journal of Statistical Planning and Inference, 139, 3246-3261.

Ogasawara, H. (2010). Supplement to the paper "Asymptotic expansions of the distributions of the chi-square statistic based on the asymptotically distribution-free theory in covariance structures". Economic Review (Otaru University of Commerce), 60 (4), 187-200.

http://www.res.otaru-uc.ac.jp/~hogasa/

Ogasawara, H. (in press). Asymptotic expansions in multi-group analysis of moment structures with an application to linearized estimators.

Communications in Statistics - Theory and Methods.

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