4.2.2 Panel Data Analysis
This research used Panel data. Panel data is a group of individuals object, company and etc, in a current period of time of specific unit. Panel data is a
combination of cross section data and time series data. As we know that this model is focuses on the regression analysis and the combination of time series and
cross section, which is famous called by pooled time series. There are other names for panel data, such as pooled data pooling of time series and cross-sectional
observations, combination of time series and cross-section data, micropanel data, longitudinal data a study over time of a variable or group of subjects, event
history analysis e.g., studying the movement over time of subjects through successive states and conditions Gujarati, 2003.
From three panel data method approaches, there are two approaches that are commonly used to estimate the regression model in pooled data, they are fixed
effect model and random effect model. To determine the method between pooled least square and fixed effect we can test it through F test and Hausman test will be
used to determine between random effect and fixed effect Winarno, 2009. Haussman test is used to determine between fixed effect method and
random effect method. Chi Square value equation of Hausman test, are: Matrix b_diff
= b_fixed – b_random Matrix var_diff
= cov_fixed – cov_random Matrix qform
= transposeb_diffinversevar_diffb_diff Null Hypothesis of Haussman test, are:
H = random effect
H
1
= fixed effect If Chi Square
statistic
Chi Square
table
or in other word, p-value 0.005, where it means that we should reject null hypothesis H
and determine that fixed effect model is the suitable model to use Winarno, 2009. Hausman test is also
available through Eviews-6 command program.
Table 4.1 Hausman Test Result
Test Summary Chi-Sq. Statistic
p -value
Effect CPI
7.300554 0.0069
Fixed
RER
2.667002 0.1024
Fixed
GFER
4.548718 0.0329
Fixed
GRVT 0.855584
0.3550 Fixed
GRRVT 0.857151
0.3545 Fixed
GRYPC 0.840744
0.3592 Fixed
Source: Eviews-6, 2010.
Note: fixed effect while p-value 0,005
4.2.3 Classic Assumption Test Analysis