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7/25/2019 IS research
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/...
.
()
2557
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1 1
1.1 11.2 3
1.3 31.4 41.5 41.6 4
2 / 5 1
2.1 52.2 92.3 1122.4 132.5 162.6 ( Choice theory )
Proportional logit model 17
3 193.1 193.2 21
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4
294.1 294.2 304.3 314.4 384.5 404.6 40
5 1 5.1 1 435.2 2 . 455.3 3 ... 525.4 4
(Risk Profile) 54
2 5.5 (Correlation) 57
(Unlvariate analysis)
5.6 Proportional logit model (Marginal effect) 71
5.7 826
1
6.1 866.2 . 866.3 ... 866.4 (Risk Profile) 872 6.5 (Correlation)
(Unlvariate analysis) 87
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6.6 Proportional logit model (Marginal effect) 92
6.7 966.8 98
100
104
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1
1.1
.. 2476 .. 2487
2557 (.) ... ..2558 ... 100 100 5-10% 100
... .
100
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13 45
2 3 11
.. (36%)
5 2010-2015 offshore ...
...
()
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1.2
1./. ...
2./ ... /
1.3
( Dependent Variable ) / ( IndependentVariable ) ...
(Y )
-
-
-
-
-
-
/
...
- ...
-
/
1. 2. 3. 4. 5. 6.
7. 8. 9. .....( )....................
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1.4
1.4.1 ... (X) / (Y).../ ( - ) / ( +)
1.5
. 100 ( specifiedSampling) 73
(Questionnaire)1 30 ..2558
1.6 1.6.1 ... /
...1.6.2
/ ...
1.6.3 /macroeconomics
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2
/
3 1 2 /
3
1
2.1
(Principles of Political Economy John StuartMill (1848) ) (Estate tax) (Inheritance tax) (Gift tax) 3 (1)
(2) (Benefit principle) (3) (Ability to pay principle)
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1)
2)
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3)
4)
back tax
1)
2)
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3)
4)
4.1
4.1.1
4.1.2
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4.2(tax avoidance)
2476
2.2
2
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2.2.1. (Estate Tax)
(Gross Estate) (Progressive Rate)
2.2.2. ( Inheritance Tax)
(gift tax)
- (Gift Tax) 2 (Donors Tax) (Donees Tax)
5-7
-(Tax base)
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- (Tax rate) (Progressive rate)
(Flat rate) (Inheritance tax)
- (Exemption) (Inheritance tax)
-
- (Deductible expense)
- (Deduction)
(Taxable Estate)
2.3
(Taxable Estate)
= -
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1
(%)
50
40
10-70
5-40
5-10
10 - 50
2 50
: . (2548)
2008 2004 1977 1972
- - (Capital gain tax)
- (give tax)
-
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5 2010-2015 offshore
2
2.4. (Saving) ""
"" ()
2.4.1
""
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Y = S + C
Y
C
S
2.4.2
APS (average propensity to save :) 1 MPS(marginal propensity to save : ) 1
2.4.3
- James S. Duesenberry
(previouspeakincome)
- Franco Modigliani, Albert Ando Richard Brumberg
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2.1 :
2.1 yy cc yy cc
- Milton Friedman (long term income) 2 (permanent income) (transitory income)
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1.
2.
3.
4.
2.5 ( , 2548, . 191-201)
2 (Income Return) (Capitalgain or loss
) 2 1.
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(Tangible investment) 2.
( Intangible investment)
2.5.1 4
1.
(Capital Gain)
2.
3.
4. 3
2.6. ( Choice theory )
/
( General choice theory framework ) ( Discrete choice framework ) Ben-Akiva and Lehman ( 1985 )
4
2.6.1 ( Definition of the choice problem )
...
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Discrete choice framework
( Utility maximization
2.6.2 ( Evaluation of attributes
of alternatives ) ( Generation of alternatives )
...
Utils
2.6.3 ( Choices )
Utils
2.6.4 (Implementation)
3
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3
(2548) ()
() ..2553 3
1)
1.1)
1.2)
1.3)
1.4) (
)
1.5)
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1.6)
1.7)
2)
2.1)
2.2)
2.3)
2.4)
2.5)
2.6)
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3)
3.1) 2
3.2)
(2550)
2
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2
( .. 2555 ) ( 22-60 )
LTF
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/
(2548)
..
( 2550 )
(2554)
/
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(General Anti-avoidance Tax
Provisions) ()
Jim Saxton Mac Thornberry (2541) (Estate Tax)
- 497 ,000
3.2%
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-
-
-
-
Bruce Bartlett (2541)
-
..1935
- 10 (..1966-1976) 53.5 % 52.5 %
-
, (2544)
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/ Jim Saxton MacThornberry (2541)
( EstateTax)
Kotlikoff
(1981)McCaffery (1994) (1978)
, (2544)
1. 2. 3.
4.
/
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(2539)
-
( une thesaurisation sterile )
- 1968
(2541:125)
-
(2541:133)
-
-
-
(2542)
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-
-
(2544)
-
(2550)
-
......
-
-
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4
( Mixed Method)
/ ...
4.1
( Mixed Method) ( Quantitative Research) (QualitativeResearch) .../ .
4.1.1
1.
( 2553 ) 2 / /...
2.
73 1 2 3
4.1.2 1
2 5
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1 10 10 (Face-
to-Face) (Semi-structured Selection Interview)4.2
4.2.1
( Population ) .
100
291 (, 2543)
25%
10%
5%
1%
= 291 *25% = 72.75 73
2 200
4.2.2 5
10 10 (Purposeful Selection)
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4.3
(Quantitative Research) (Qualitative Research)
4.3.1 (Questionnaire)
3 1
( Multiple Choice Questions ) ( Dummy variable ) Continuous number
4.1
(Name)
(Label)
(
/)
(Value)
1. AGE
2
0. 40
1.
41
50 2. 51 603. 60
2. DGEN 10. 1.
3. DS_S 1
0.1.
2.
3.
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4. DSAL
1
0. 100,000 - 399,999
1. 400,000 699,999
2. 700,000 -999,999
3. 1,000,000
5. DEDU 1
0.
1. /
2. 3.
6. DFIE
1
0. ///1. ////
2. /////3. ...()
7. DJOB 1
0.
1.
/
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2. /
3. ..( )
2 ... ( Degree of Knowledgeinformation )
DRKL_INH ... ( Degree ofKnowledge in Inheritance taxes )
- ... 3 1
2 13 1 13 3
8 1 5 1 04 0 2 14
(Class Interval)
= (-)/
=
(14-0)/4=
3.5
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4.2 ...
(Name)
(Label)
(/
)
(Value)
1. DRKL_INH
...1
1. ( 0.00-3.50 )
2. ( 3.51-7.00 )3.
( 7.01 10.50 )
4. ( 10.51 14.00
)
2 32
3 (Degree of risk aversion information)
... /
(AIMC) 7 2 1-4
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4.3
(Name)
(Label)
(/
)
(Value)
1 RISK
1
1. ( 15)
2. ( 15-21)
3. ( 22-29
)
4. ( 30-36 )
5.
4
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(Name)
(Label)
(/)
(Value)
( 37 )
4 ...
2 / ... / ... 100 9
... ( Choice theory ) Proportional logit model 4
4.1 ( Definition of the choiceproblem )
4.2 ( Evaluation ofattributes of alternatives ) ( Generation of alternatives )
4.3 ( Choices )
4.4 (Implementation)
3
Discrete choice framework 3 (Traditional factors)
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...
Leverage
i j () Uji Uji
System component ( Vji ) Random error component ( ji )
Uji = Vji + ji ( 4.1 )
System component ( Vji ) K
Xji = (Xji , 1, .........., Xji , k ) i
= (1,....., k ) Vji
Vji = Xji ( 4.2 )
(2.2) (2.1) K
(Xji) ( )
Uji = Xji + ji ( 4.3 )
2.3 j
K ( Xji ) ( ) I j m
Pi ( j ) = m j ( 4.4 )
( Proportional investment) ( Expected utility ) Yji Rajruangrabin (2008) (2.5)
Yji = g ( Uji ) = g (Xji + ji) ( 4.5 )
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Yji
g Logistics distribution function 0 1
(
1) = Xji + ji ( 4.6 )
( Xj i)
/ 1 9 100/ Porportion logit model
( 4.6 )
/
(
1) = ji + 1jiAGE + 2jiDGEN + 3ji DS_S + 4ji DS_M +
5ji DSAL + 6ji DEDU +7ji DFIE + 8ji DJOB_P +8ji
DJOB_E + 9ji DRKL_INH + 10ji DPREPARE + 9ji DRISK
+ 11ji DM +ji ( 4.7 )
: ( 1
) /
9 /
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i = 1,.....,n 1
nj= 1,......,9 9 ji ( Constant term )
ji ( Error term )
(Demographic information)
AGE ( Continuous number)
DGEN ( Dummy variable)
DS_S ( Dummy variable)
DS_M ( Dummy variable)
DSAL ( Dummyvariable)
DFIE ( Dummy variable)
DJOB_P ( Dummy variable)
DJOB_E (Dummy variable)
...(Degree of Knowledge information)
DRKL_INH ... ( Degree ofKnowledge in Inheritance taxes )
...
DPREPARE ...
DRISK
...
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D D( Dummy variable )
D = 0 ...
D = 1 ...
Panel data D ... /
D Panel data ... 2
(Field Survey)
4.3.2
(Semi-structured Interview Protocol) ... ...... /
4.4
4.4.1
1. (Validity)
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( Content
Validity ) Rovinelli andHambleton (1978 , 2546)
+ 1 0
- 1
2. (Reliability) (try-out ) 10 ( Item Analysis)( Internal Consistency Method) Pearsons Product Moment CorrelationCoeffcient Cronbach (, 2554: 85)
3.
4.4.2.
1.
2. 3
3.
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4.5
(Quantitative Research) (QualitativeResearch)
1. 1.1 73
1.2
2.
2.1
10 3
2.2 (Semi-structured Selection Interview) (Key InformantInterview) 10 1 2 1
4.6 ...
/ .
y Multiple Choice Questions, Open-Ended ResponseQuestion Close-Ended Response Question 2 1 ( Correlation ) (Univariate analysis) 2 Proportional logitmodel ( Marginal effect )
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1 ( Correlation )
(Univariate analysis)
1)(Pearson Chi-Square) ( , 2555) 0.05
c
j ij
ijijr
i E
EO
1
2
1
25.0
ijO =i j
r =c =
ijE =i j
2 Proportional logit model ( Marginal effect )
Proportional logit model 2
1) Seemingly unrelated regression model ( SUR ) Proportion logit model SUR
Proportional logit model Pooleddata Panel data ... D 0 ... D 1
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Stata 10 (2007) SUR
Linear Iterative feasible generalized least squares ( IterativeFGLS) Maximum likehood estimation Error term Multivariate normal disturbances SUR
Yi1 = f1(xi, ) + u1
Yi2 = f2(xi, ) + u2
Yi3 = f3(xi, ) + u3
:=:
Yi9 = f9(xi, ) + u9
(4.8)
2) Generalized linear latent and mixed mobile(GLLAMM)
Skrondal and Rabe-Hesketh (2004) GLLAMM (Latent or unobservedvariables) Random effects (Hierarchical data)
3 ID
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5
/...
3 ( Correlation) ( Univariate analysis )
Proportional logit model ( Marginal effect )
1
5.1 1
1
40 2 2.7
41-50 11 15.1
51-60 37 50.7
60 23 31.5
73 100.0
57 78.1
16 21.9
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73 100.0
6 8.2
67 91.8
73 100.0
100,000399,999 22 30.1
400,000 - 699,999 20 27.4
700,000 999,999 20 27.4
1,000,000 11 15.1
73 100.0
15 20.5
/ 17 23.3
40 54.8
1 1.4
73 100.0
///
5 6.8
////
60 82.2
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/////
7 9.6
1 1.4
73 100.0
7 9.6
/ 61 83.6
/ 5 6.8
73 100.0
1 73 51-60 37 50.7 57 78.1 67 91.8 100,000399,999 22 30.1 40 54.8 //// 60 82.2 / 61 83.6
5.2 2 ...
...
2 ...
...
5 6.8
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23 1.5
45
0
61.6
0.00
73 100.0
2 ... 45 61.6 ... 23 31.5
... 5 6.8
3 ...
...
() () ()
1) ... (.)3 22 2558 180
41 17 5
(56.2) (23.3) (20.5)
2) ... 100 5%
61 6 6
(83.6) (8.2) (8.2)
3) ... 100 10%
46 6 21
(63.0) (8.2) (28.8)
4) 100 5% 100
15 31 27
(20.5) (42.5) (37.0)
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...
() () ()
5) 100 10% 100
15
(20.5)
24
(32.9)
34
(46.6)
6)
37 6 30
(50.7) (8.2) (41.1)
7)
42 6 25
(57.5) (8.2) (34.2)
8)
42 6 25
(57.5) (8.2) (34.2)
9
)
50 6 17
(68.5) (8.2) (23.3)
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...
() () ()
10) 150
42 6 25
(57.5) (8.2) (34.2)
11) 20 5%
42 6 25
(57.5) (8.2) (34.2)
12) 10
5%
22 51 -
(30.1) (69.9) -
13) 10 5%
27 46 -
(37.0) (63.0) -
3 ... 73 ... (.) 3 22 2558 180 41 56.2 ... 100 5% 61
83.6 ... 100 10%
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46 63.0
37 50.7 42 57.5 42 57.5
50 68.5 150 42 57.5 20 5% 42 57.5
100 5% 100
31 42.5 10 5% 51 69.9 10 5% 46 63.0
100 10% 100 34
46.6 1 13
4
() () ()
70 1 2
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() () ()
(95.9) 1.4) (2.7)
70 1 2
(95.9) (1.4) (2.7)
67 1 5
(91.8) (1.4) (6.8)
67 1 5
(91.8) (1.4) (6.8)
- 68 5
- (93.2) (6.8)
- 68 5
- (93.2) (6.8)
40 28 5
(54.8) (38.4) (6.8)
43 28 2
(58.9) (38.4) (2.7)
22
(30.1)
5
(6.8)
46
(63.0)
4 70 95.9 70 95.9 67 91.8 67 91.8
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40 54.8 43
58.9 68 93.2 68 93.2 46 63.0
5
(1-4 ) 6 8.2
(5 ) 67 91.8
73 100.0
5 67 91.85 6 8.2
1 0 1 3 ... 6
6 ...
...
(0.00 3.50) 18 24.7
(3.51 7.00) 13 17.8
(7.01 10.50)
42 57.5
(10.51 14.00 ) - -
73 100.0
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6 3 5
... 42 57.5 (0.00 3.50) 18 24.7 (3.51 7.00) 13 17.8 ... (10.51-14.00 )
5.3 3 ...
...
7 ...
()
(...)
(...)
0.23 0.19 - 0.04
0.09 0.10 0.01
0.09 0.07 -0.02
0.04 0.02 -0.02
0.02 0.03 0.01
0.37 0.31 -0.06
0.08 0.17 0.09
0.04 0.09 0.05
0.01 0.02 0.01
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7 ... 0.37 0.23 0.01 ... 0.31 0.19 0.02 0.09
0.05 0.01 0.06 0.04 0.02
...
8 ...
...
16 21.9
/
14 19.2
/ 19 26.0
14 19.2
10 13.7
73 100.0
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8 ...
/ 19 26.0 16 21.9 / 14 19.2 10 13.7
/ 7
... /
5.4 4 (Risk Profile)
( Risk Profile)
8 (Risk Profile)
(Risk Profile)
25 34.2
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(Risk Profile)
1 15 20.5
1-5 27 37.0
5 6 8.2
73 100.0
1
1 3
3- 7
16
32
6
21.9
43.8
8.2
7 19 26.0
73 100.0
16 21.9
24 32.9
31 42.5
2 2.7
73 100.0
16 21.9
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(Risk Profile)
30 41.1
26 35.6
1 1.4
73 100.0
16 21.9
37 50.7
20 27.4
73 100.0
46 63.0
6 8.2
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(Risk Profile)
21 28.8
73 100.0
10%
10 % 20%
20 % - 50%
47
25
1
64.4
34.2
1.4
73 100.0
8 (Risk Profile) 73 1-5 27 37.0 1 3 32 43.8 31
42.5 30 41.1 37 50.7 46 63.0 47 64.4
9
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9 (RiskProfile)
(Risk Profile)
( 15 )
18 24.7
( 15- 21 )
31 42.4
( 22 - 29 )
23 31.5
( 30-36 )
1 1.4
( 37 )
- -
73 100.0
9
(Risk Profile)
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31 42.4
23 31.5 18 24.7 1 1.4
73 51-60 78.1 ...
2
/ ... /
( Correlation) 2
5.5. ( Correlation) (Univariateanalysis)
AGE ( Continuous number)
DGEN ( Dummy variable)
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DS_S ( Dummy variable)
DS_M ( Dummy variable)
DSAL ( Dummyvariable)
DFIE ( Dummy variable)
DJOB_P ( Dummy variable)
DJOB_E (Dummy variable)
DRKL_INH ... ( Degree ofKnowledge in Inheritance taxes )
DPREPARE ...
DRISK
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9
AGE DGEN DS_S DS_M DSAL DEDU DFIE DJOB_P DJOB_E DRKL_INH DPREPARED RISK
AGE 1.000
DGEN -0.017 1.000
DS_S 0.217 0.159 1.000
DS_M -0.217 -0.159 -1.000 1.000
DSAL -0.004 0.223 -0.126 0.126 1.000
DEDU 0.263* 0.155 0.046 -0.046 0.149 1.000
DFIE 0.019 -0.468** -0.238* 0.238* 0.372** 0.013 1.000
DJOB_P 0.065 0.060 -0.098 0.098 -0.137 -0.095 -0.275* 1.000
DJOB_E -0.084 -0.146 0.133 -0.133 0.187
-0.101 0.428** -0.734** 1.000
DRKL_INH -0.191 0.007 -0.148 0.148 0.007 -0.166 0.134 -0.257* 0.350** 1.000
DPREPARED -0.213* 0.009 -0.031 0.031 -0.175 -0.231* -0.155 0.030 0.046 0.102
1.000
RISK -0.414** 0.058 -0.165 0.165 -0.046 -0.064 -0.014 0.026 -0.001 0.123 0.400** 1.000
:
: ** 99
* 95
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(Univariate analysis)
2 2 T-Statistic F-Statistic 2T- Test 2 F-Test 10
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10 (Univariate analysis)
Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
AGE 40 4 0.025 0.085 0.096 0.058 0.096 0.100 0.058 0.118 0.25041-50 22 0.142 0.075 0.071 0.000 0.000 0.240 0.093 0.055 0.021
51-60 74 0.140 0.092 0.072 0.060 0.044 0.236 0.080 0.087 0.037
60 46 0.164 0.079 0.060 0.051 0.035 0.259 0.072 0.055 0.075
(F-TEST) 1.936 9.375** 4.284** 4.231** 6.566** 11.309** 1.797 2.357 4.671**
DGEN 114 0.142 0.091 0.075 0.058 0.042 0.223 0.084 0.076 0.056
32 0.138 0.052 0.055 0.025 0.039 0.256 0.056 0.066 0.090
(T-TEST) 4.104** 7.381** -0.455 4.292** 2.409* -7.084** 2.687** 3.067** -0.757
DS_S
12 0.131 0.102 0.000 0.000 0.000 0.164 0.123 0.043 0.144
134 0.150 0.092 0.070 0.056 0.043 0.275 0.076 0.078 0.052
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(T-TEST) 0.756 0.418 -14.475**
-6.714** -7.095** 0.261 -0.113 -0.864 0.754
10 (Univariate analysis) ( )
Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
DSAL 100,000 399,999 114 0.142 0.091 0.075 0.058 0.042 0.223 0.084 0.076 0.056
400,000 - 699,999 32 0.138 0.052 0.055 0.025 0.039 0.256 0.056 0.066 0.090
700,000 999,999 40 4.155** 7.381** -0.455 4.292** 2.409* -6.558** 2.687** 3.067** -0.586
1,000,000 22 0.025 0.085 0.096 0.058 0.096 0.100 0.058 0.118 0.250
(F-TEST) 0.142 0.075 0.071 0.000 0.000 0.240 0.093 0.055 0.021
DEDU 30 .089 .074 .039 .036 .043 .107 .072 .073 .093 / 34 0.148 0.091 0.065 0.078 0.031 0.210 0.107 0.073 0.052
80 0.136 0.064 0.076 0.022 0.029 0.225 0.069 0.075 0.058
2 0.141 0.071 0.000 0.000 0.000 0.071 0.106 0.035 0.000
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(F-TEST) 5.050** 0.579** 0.792** 4.357** 2.547** 7.378** 0.447 0.514** 0.264
10 (Univariate analysis) ( )
Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
DFIE ///
10 0.106 0.088 0.032 0.000 0.000 0.159 0.122 0.037 0.016
/ ///
120 0.125 0.093 0.072 0.043 0.044 0.266 0.074 0.078 0.071
/////
14 0.127 0.091 0.060 0.096 0.018 0.036 0.085 0.018 0.013
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
(F-TEST) 22.160** 1.479 0.224** 11.482** 4.539** 9.231** 2.034 5.934** 9.197
DJOB 14 0.155 0.075 0.063 0.096 0.041 0.036 0.077 0.070 0.000
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/ 22 0.126 0.091 0.070 0.043 0.041 0.248 0.075 0.072 0.065
/ 0 0.107 0.050 0.085 0.000 0.000 0.216 0.117 0.116 0.095
(F-TEST) 25.580** 9.631** 1.479 17.242** 9.163** 22.568** 2.973 2.709** 0.627
Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
RKL_INH
...
12 0.183 0.88 0.084 0.040 0.040 0.167 0.032 0.069 0.204
...
134 0.142 0.097 0.072 0.062 0.041 0.279 0.069 0.047 0.012
(T-TEST) 0.190 -0.498 -1.234 -0.759 -0.461 0.371 -1.878 0.977 3.879*
*
DPREPARED 32 0.200 0.076 0.075 0.080 0.042 0.274 0.077 0.100 0.090
/
28 0.113 0.099 0.066 0.051 0.050 0.199 0.079 0.091 0.096
/
38 0.130 0.081 0.069 0.000 0.000 0.289 0.079 0.066 0.050
Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
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28 0.134 0.051 0.083 0.000 0.000 0.145 0.073 0.037 0.000
20 0.087 0.080 0.051 0.046 0.049 0.153 0.093 0.052 0.015
(F-TEST) 4.400** 14.565** 1.650 13.126** 13.126** 18.631** 13.356** 1.277 2.295** 0.662
DRISK 36 0.109 0.067 0.064 0.045 0.042 0.167 0.072 0.036 0.018
62 0.161 0.088 0.079 0.067 0.044 0.171 0.087 0.063 0.064
48 0.126 0.090 0.052 0.020 0.032 0.317 0.064 0.105 0.084
(F-TEST) 11.303** 16.020** 0.996** 11.134** 9.537** 27.581** 8.040** 2.097** 0.708
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Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
DM
...
73 0.158 0.107 0.073 0.064 0.040 0.296 0.054 0.045 0.059
...73 0.136 0.075 0.067 0.041 0.044 0.233 0.078 0.092 0.070
(T-TEST) 1.713 -0.669 2.366** 0.014** -2.294** 1.414 -7.909** -3.949** -1.091
:
: ** 99 * 95
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6 /
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/ 7 /
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2
5.6 Proportional logit model (Marginal effect)
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Yi9 = f9(xi , ) + u9
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11 Proportion logit model SUR (Marginal effect)
Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
AGE 0.017 0.017 0.124** 0.177* 0.162* -0.046 0.000 -0.011 -0.052
DGEN 0.035 0.402 -0.397 0.324 -0.043 -1.790 0.822 0.467 0.516
DS_S -2.069 0.697 1.625 0.728 0.095 (omitted) -0.691 0.214 (omitted)
DS_M (omitted) (omitted) (omitted) (omitted) (omitted) (omitted) (omitted) (omitted) (omitted)
DSAL -0.471 -0.344 0.964 -0.389 -0.861 -1.074 -0.505 -0.955 (omitted)
DEDU -0.408 -2.199** -1.231** -1.741** -1.452** 1.890** -0.694** -0.637** -0.528
DFIE -1.400 0.639 -0.367 -0.702 -0.340 2.014* -0.437 0.500 0.768
JOB_P -0.311 -0.288 -0.767 1.969 1.373 -14.689 -0.455 -0.088 -0.312
JOB_E 1.760 -0.427 -1.438 1.788 1.032 -17.237 0.610 0.102 -2.442
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Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
DRKL_INH
-0.260 0.487 0.393 0.316 0.222 0.403 -0.193 -0.449 0.422
DPREPARED -1.175* -0.232 0.100 -0.715 0.203 3.537** -1.240* 0.116 0.514
DRISK -1.665** -2.221** 0.078 -0.633 -0.395 -2.565** -0.415 -1.204** 0.579
D 0.399 2.880** -1.535** -0.748 0.133 0.693 2.952** 1.860** 1.715
CONS 5.576* 5.036 -3.870 -9.563* -9.887* 23.436 1.207 2.322 -2.215
SSR 38.18 106.67 62.99 70.42 51.99 49.33 61.78 51.72 7.18
R-Squared 0.2731 0.5415 0.3114 0.426 0.3643 0.4239 0.3178 0.2568 0.1757
:
: ** 99
* 95
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11 Proportion logit model SUR (Marginal effect)()
Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
AGE
0.002 0.004 0.031** 0.020* .013** 0.000 0.000 .003 0.001
DGEN 0.003 0.84 0.098 0.034 0.003 0.014 0.188 0.113 0.009
DS_S 0.331 0.121 0.338 0.065 0.008 0.017 0.161 0.289 (omitted)
DS_M (omitted) (omitted) (omitted) (omitted) (omitted) (omitted) (omitted) (omitted) (omitted)
DSAL 0.046 0.072 0.226 0.039 0.055 0.020 0.114 0.218 (omitted)
DEDU 0.035 0.440** 0.307** 0.195** 0.117** .030 0.148* 0.157* 0.010
DFIE 0.117 0.130 0.091 0.082 0.028 0.997 0.092 0.123 0.014
DJOB_P 0.030 0.061 0.188 0.358 0.173 0.192 0.103 0.022 0.005
DJOB_E 0.241 0.080 0.319 0.133 0.064 0.004 0.139 0.025 0.104
DRKL_INH 0.022 0.098 0.098 0.036 0.018 0.004 0.041 0.011 0.008
DPREPARED 0.113 0.047 0.025 0.077 0.017 0.042 0.270 0.029 0.010
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Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9
DRISK 0.144** -0.445** 0.019 -0.071 -0.032 -0.027 -0.089 -0.297** 0.011
D 0.034 0.535** -0.365** 0.084 0.011 0.007 0.570** 0.430** 0.035
Mean of Y 0.905 0.723 0.527 0.128 0.089 0.989 0.689 0.445 0.019
LR ch2(12) 38.18 106.67 62.99 70.42 51.99 49.33 61.78 51.72 7.18
Prob.>Ch2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.708
:
: ** 99
* 95
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136
7/25/2019 IS research
142/151
137
7/25/2019 IS research
143/151
138
7/25/2019 IS research
144/151
139
7/25/2019 IS research
145/151
140
7/25/2019 IS research
146/151
120
7/25/2019 IS research
147/151
7/25/2019 IS research
148/151
126
7/25/2019 IS research
149/151
126
7/25/2019 IS research
150/151
126
7/25/2019 IS research
151/151
140