# Econometrics Project

Topics: Regression analysis, Statistics, Autocorrelation Pages: 7 (1216 words) Published: May 22, 2013
I. Introduction

4, Choosing model
a, Linear model

Dependent Variable: HDI| | |
Method: Least Squares| | |
Date: 05/12/13 Time: 12:38| | |
Sample: 1 63| | | |
Included observations: 63| | |
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Variable| Coefficient| Std. Error| t-Statistic| Prob.  | | | | | |
| | | | |
C| -0.332753| 0.090174| -3.690142| 0.0005|
LE| 0.014117| 0.001229| 11.48413| 0.0000|
PD| 2.21E-06| 6.35E-06| 0.348227| 0.7289|
NS| 5.62E-06| 1.24E-05| 0.453170| 0.6521|
IC| 4.70E-06| 5.88E-06| 0.799187| 0.4274|
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R-squared| 0.775290|     Mean dependent var| 0.701333| Adjusted R-squared| 0.759793|     S.D. dependent var| 0.045044| S.E. of regression| 0.022076|     Akaike info criterion| -4.712582| Sum squared resid| 0.028267|     Schwarz criterion| -4.542492| Log likelihood| 153.4463|     Hannan-Quinn criter.| -4.645685| F-statistic| 50.02766|     Durbin-Watson stat| 1.403771| Prob(F-statistic)| 0.000000| | | |

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b, Log-linear model
Dependent Variable: LOG(HDI)| | |
Method: Least Squares| | |
Date: 05/12/13 Time: 12:40| | |
Sample: 1 63| | | |
Included observations: 63| | |
| | | | |
| | | | |
Variable| Coefficient| Std. Error| t-Statistic| Prob.  | | | | | |
| | | | |
C| -1.920917| 0.134681| -14.26268| 0.0000|
LE| 0.021428| 0.001836| 11.67098| 0.0000|
PD| -2.77E-07| 9.48E-06| -0.029187| 0.9768|
NS| 1.08E-05| 1.85E-05| 0.583196| 0.5620|
IC| 5.65E-06| 8.78E-06| 0.643979| 0.5221|
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| | | | |
R-squared| 0.774431|     Mean dependent var| -0.356923| Adjusted R-squared| 0.758875|     S.D. dependent var| 0.067148| S.E. of regression| 0.032973|     Akaike info criterion| -3.910232| Sum squared resid| 0.063058|     Schwarz criterion| -3.740142| Log likelihood| 128.1723|     Hannan-Quinn criter.| -3.843335| F-statistic| 49.78190|     Durbin-Watson stat| 1.410319| Prob(F-statistic)| 0.000000| | | |

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c, Log-log model
Dependent Variable: LOG(HDI)| | |
Method: Least Squares| | |
Date: 05/12/13 Time: 12:43| | |
Sample: 1 63| | | |
Included observations: 63| | |
| | | | |
| | | | |
Variable| Coefficient| Std. Error| t-Statistic| Prob.  | | | | | |
| | | | |
C| -7.234214| 0.775948| -9.323060| 0.0000|
LOG(LE)| 1.564516| 0.178746| 8.752713| 0.0000|
LOG(PD)| -0.002699| 0.007070| -0.381769| 0.7040|
LOG(NS)| 0.004778| 0.010328| 0.462669| 0.6453|
LOG(IC)| 0.021775| 0.028614| 0.760978| 0.4498|
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| | | | |
R-squared| 0.777269|     Mean dependent var| -0.356923| Adjusted R-squared| 0.761908|     S.D. dependent var| 0.067148| S.E. of regression| 0.032765|     Akaike info criterion| -3.922891| Sum squared resid| 0.062265|     Schwarz criterion| -3.752801| Log likelihood| 128.5711|     Hannan-Quinn criter.| -3.855994| F-statistic| 50.60084|     Durbin-Watson stat| 1.418621| | | | | |

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d, Linear-log model

Dependent Variable: HDI| | |
Method: Least Squares| | |
Date: 05/12/13 Time: 12:45| | |
Sample: 1 63| | | |
Included observations: 63| | |
| | | | |
| | | | |
Variable| Coefficient| Std. Error| t-Statistic| Prob.  | | | | | |
| | | | |
C| -3.811552| 0.523205| -7.285009| 0.0000|
LOG(LE)| 1.018602| 0.120525| 8.451393| 0.0000|
LOG(PD)| -0.000326| 0.004767| -0.068478| 0.9456|
LOG(NS)| 0.002179| 0.006964| 0.312893| 0.7555|
LOG(IC)| 0.018228| 0.019294| 0.944762| 0.3487|
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R-squared| 0.774961|     Mean dependent var| 0.701333| S.D. dependent var| 0.045044|     S.E. of...