本人用matlab尝试跑出pstr模型结果如下:
PLEASE CITE:
Fouquau J., Hurlin C. et Rabaud I. (2008), The Feldstein-Horioka Puzzle: a Panel Smooth Transition Regression Approach
Economic Modelling, vol. 25(2), pp. 284-299
AND
Colletaz G. et Hurlin C. (2006), Threshold Effects in the Public Capital Productivity: An International Panel Smooth Transition Approach
Document de Recherche LEO
Thank you
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*** LINEARITY Tests ***
***********************
H0: Linear Model H1: PSTR model with at least one Threshold Variable (r=1)
Wald Tests (LM): W = 54.014 pvalue = 0.000
Fisher Tests (LMF): F = 7.144 pvalue = 0.000
LRT Tests (LRT): LRT = 58.985 pvalue = 0.000
**************************************************************************
*** TESTING THE NUMBER OF REGIMES: TESTS OF NO REMAINING NON-LINEARITY ***
**************************************************************************
Initial Conditions : Assumed Number of Thresholds r = 1 Number of Regressions = 270
Initial Conditions on (c,gamma)
1.0e+04 *
0.0001 1.2592
Estimation of the Model with r = 1 and m = 1 : Convergence = 1 RSS = 1954425.954
RSS under H1 = 1858909.126
H0: PSTR with r = 1 against H1: PSTR with at least r = 2
Wald Tests (LM): W = 16.128 pvalue = 0.041
Fisher Tests (LMF): F = 1.773 pvalue = 0.082
LRT Tests (LRT): LRT = 16.535 pvalue = 0.035
Given the choices of rmax = 2 and m = 1, the OPTIMAL (LMF criterion) NUMBER OF THRESHOLD FUNCTIONS is r = 1
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*** FINAL ESTIMATION OF PSTR MODEL ***
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Final Estimation of the Model with r = 1 and m = 1 by NLS ***
Initial Conditions on (gamma,c) :
1.0e+04 *
0.0001 1.2552
RSS = 1954425.954 Convergence = 1
AIC = 8.855 BIC = 9.062
Estimated slope parameter of the transition function (one for for each transition function)
0.9239
Estimated location parameters (per column for each transition function)
1.2552e+04
Estimated slope parameters (per column for each transition function)
1.0e+04 *
0.0000 -0.0000
-0.6303 1.9705
0.0000 -0.0000
-0.0190 -0.0389
-0.0096 0.0059
-0.0000 0.0000
-0.0000 0.0000
-0.0000 0.0000
Standard Errors of estimated slope parameters corrected fo heteroskedasticity (per column for each transition function)
1.0e+03 *
0.0000 0.0000
7.0774 5.4228
0.0000 0.0000
0.1610 0.1585
0.1170 0.1111
0.0000 0.0000
0.0000 0.0000
0.0000 0.0000
t-statistics based on corrected standard errors (per column for each transition function)
2.7669 -3.3211
-0.8906 3.6338
4.6268 -2.5291
-1.1774 -2.4568
-0.8222 0.5345
-0.8073 0.5276
-0.8784 1.6717
-0.5080 0.2812
OUPUT: Individual Elasticities for each explicative variable (first column is the cross section identifier) are available in the excel file result1.xls
奈何结果不太看得明白,看论文上都展示了参数的估计值,但不知道对应结果的哪些部分,还请大神们答疑解惑啊