Pengangguran Unemployment HASIL DAN PEMBAHASAN
Lampiran 6. Output Stata Regresi Data panel Model Kelima
Model 5: Combined Model . xtgls rme na na2 pg pg2 opnguna pma hc un if ~odd2
Cross-sectional time-series FGLS regression Coefficients: generalized least squares
Panels : homoskedastic Correlation : no autocorrelation
Estimated covariances = 1 Number of obs = 222 Estimated autocorrelations = 0
Number of groups = 23 Estimated coefficients = 9 Obs per group: min = 8
avg = 9.652174 max = 10
Wald chi28 = 186.98 Log likelihood = -583.0854 Prob chi2 = 0.0000
------------------------------------------------------------------------------ rme | Coef. Std. Err. z P|z| [95 Conf. Interval]
-------------+---------------------------------------------------------------- na | 3.728053 .6952818 5.36 0.000 2.365325 5.09078
na2 | -.3159819 .0546787
-5.78 0.000 -.4231502
-.2088137 pg |
-.1766053 .030349 -5.82 0.000
-.2360882 -.1171223
pg2 | .0014596 .0003651 4.00 0.000 .000744 .0021752 opnguna | .0895727 .0099376 9.01 0.000 .0700954 .1090501
pma | 62.06371 24.02833 2.58 0.010 14.96905 109.1584 hc | .0454089 .0426545 1.06 0.287
-.0381923 .1290101 un | .1947661 .0820806 2.37 0.018 .0338912 .355641
_cons | -9.815841 2.1114
-4.65 0.000 -13.95411
-5.677573 ------------------------------------------------------------------------------
ABSTRACT
SUSI METINARA. The Determinants of De-industrialization in Indonesia: 2000 – 2009. Under direction of DOMINICUS SAVIO PRIYARSONO and TONY
IRAWAN.
Indonesian manufacturing sector has shown signs of de-industrialization in recent years. It has experienced a decline in the share of manufacturing
employment. The purpose of this study is to analyze the factors that affecting the de-industrialization in Indonesia. Panel data regression analysis was applied. The
result indicate that each factor i.e national affluence, productivity growth, foreign direct investment, openness and unemployment gives significant contributions to
de-industrialization except human capital. Furthermore, economic globalization also affects the de-industrialization, boths directly and indirectly through
employment patterns.
Keywords : De-industrialization, Openness, Foreign Direct Investment, Panel Data