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Les déterminants du spread des taux d'intérêt bancaires dans les pays de la zone CEMAC

( Télécharger le fichier original )
par Achille Dargaud FOFACK
Université de Douala - Cameroun - Master 2 recherche en économie monétaire et bancaire option finance 2012
  

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Annexe 5 : Test de Hausman [équation (12)]

---- Coefficients ----

| (b) (B) (b-B) sqrt(diag(V_b-V_B))

| fixe . Difference S.E.

-------------+----------------------------------------------------------------

assets | .3605072 .0465768 .3139305 .1421929

capital | .3342695 -.0666735 .400943 .3419486

costs | .3540308 .3087626 .0452682 .2660831

deposits | -.0349325 -.034633 -.0002996 .0448837

loans | -.6839437 -.7860789 .1021351 .2603835

number_of_~s | -.0436093 -.0340541 -.0095553 .0504573

provisions | .0240529 .1143432 -.0902904 .1130979

reserves | .2398257 .1831751 .0566506 .0802878

dummy_2002 | 2.585148 2.084322 .5008259 1.704532

dummy_2003 | 2.401175 1.78951 .6116655 1.806853

dummy_2004 | .5772514 .1946533 .3825981 1.433704

dummy_2005 | .9216012 -.1545392 1.07614 1.173777

dummy_2006 | 2.110732 1.013866 1.096866 .8504032

dummy_2007 | .2659551 .1446733 .1212818 .3565814

------------------------------------------------------------------------------

b = consistent under Ho and Ha; obtained from xtreg

B = inconsistent under Ha, efficient under Ho; obtained from xtreg

Test: Ho: difference in coefficients not systematic

chi2(14) = (b-B)'[(V_b-V_B)^(-1)](b-B)

= 6.69

Prob>chi2 = 0.9461

(V_b-V_B is not positive definite)

Source : Construit par l'auteur.

Annexe 6 : Test de significativité des effets aléatoires [équation (12)]

Breusch and Pagan Lagrangian multiplier test for random effects:

spread[country,t] = Xb + u[country] + e[country,t]

Estimated results:

| Var sd = sqrt(Var)

---------+-----------------------------

spread | 3.749768 1.936432

e | 1.919333 1.3854

u | 0 0

Test: Var(u) = 0

chi2(1) = 2.10

Prob > chi2 = 0.1471

Source : Construit par l'auteur.

Annexe 7 : Estimation du modèle à effets fixes [équation (13)]

Fixed-effects (within) regression Number of obs = 42

Group variable (i): country Number of groups = 6

R-sq: within = 0.1644 Obs per group: min = 7

between = 0.4003 avg = 7.0

overall = 0.0306 max = 7

F(3,33) = 2.16

corr(u_i, Xb) = -0.3394 Prob > F = 0.1109

------------------------------------------------------------------------------

pure_spread | Coef. Std. Err. t P>|t| [95% Conf. Interval]

-------------+----------------------------------------------------------------

gdp_growth | -.0286054 .0215318 -1.33 0.193 -.0724122 .015201

inflation_~e | .068334 .0408616 1.67 0.104 -.0147995 .1514675

ir_volatil~y | -.0278175 .0380687 -0.73 0.470 -.1052689 .0496338

_cons | 10.55085 .3329708 31.69 0.000 9.873412 11.22828

-------------+----------------------------------------------------------------

sigma_u | 2.4244433

sigma_e | .7950325

rho | .90290684 (fraction of variance due to u_i)

------------------------------------------------------------------------------

F test that all u_i=0: F(5, 33) = 43.97 Prob > F = 0.0000

Source : Construit par l'auteur.

Prob > F = 0.0000 0.05 on rejette H0 et on conclu que les effets individuels sont nécessaires. Il convient à présent de déterminer quel est le type d'effets individuels à prendre en compte.

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