Table 7. Explaining Wages in Rural China__________________________________________________________________________ | ||||||
Dependent Variable: Log Wage | ||||||
_______All Workers_______ |
Male Workers Only |
Female Workers Only | ||||
__________1988 |
1995 |
__________1988 |
1995_________ |
_______1988 |
_______1995 | |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) | |
N |
(707) |
(1143) |
(448) |
(635) |
(259) |
(508) |
Incoming Labora |
(1) 0.08 (1.36) |
0.13 (3.02)*** |
0.04 (0.55) |
0.16 (2.59)*** |
0.18 (1.84)* |
0.09 (1.62) |
Type of Workerb | ||||||
In-Migrant |
(2) -0.19 (1.29) |
-0.34 (4.20)*** |
-0.11 (0.64) |
-0.31 (2.56)** |
-0.38 (1.49) |
-0.36 (3.27)*** |
In-Commuter |
(3) -0.09 (0.73) |
-0.32 (4.13)*** |
-0.02 (0.11) |
-0.24 (2.12)** |
-0.29 (1.37) |
-0.40 (3.75)*** |
Out-Commuter |
(4) -0.19 (2.60)*** |
-0.29 (5.34)*** |
-0.12 (1.36) |
-0.23 (3.08)*** |
-0.34 (2.38)** |
-0.34 (4.46)*** |
Self-Employed |
(5) 0.52 (3.09)*** |
-0.10 (0.91) |
0.56 (2.80)*** |
0.20 (1.12) |
0.55 (1.67) |
-0.02 (0.15) |
Education, Age and Gender | ||||||
% High School Graduated |
(6) 0.31 (2.14)** |
0.30 (2.69)*** |
0.23 (1.15) |
0.23 (1.39) |
0.55 (2.32)** |
0.41 (2.70)*** |
% Middle School Graduated |
(7) 0.16 (2.02)** |
0.22 (3.47)*** |
0.18 (1.72)* |
0.27 (2.81)*** |
0.18 (1.41) |
0.20 (2.48)** |
% Under Age 25 |
(8) -0.24 (3.15)*** |
-0.14 (2.24)** |
-0.22 (2.17)** |
-0.12 (1.22) |
-0.24 (1.99)** |
-0.20 (2.46)** |
% Over Age 50 |
(9) -0.24 (1.48) |
-0.35 (2.53)** |
-0.20 (0.97) |
-0.38 (1.99)** |
-0.30 (1.10) |
-0.33 (1.61) |
Female |
(10) -0.22 (4.10)*** |
-0.28 (6.72)*** |
- |
- |
- |
- |
Employment Sectorc | ||||||
Agriculture |
(11) 0.44 (1.75)* |
0.31 (1.74)* |
0.48 (1.43) |
0.22 (0.86) |
0.44 (1.05) |
0.48 (1.95)* |
Light Industry |
(12) 0.37 (2.28)** |
0.02 (0.18) |
0.34 (1.70)* |
0.004 (0.02) |
0.54 (1.78)* |
0.005 (0.04) |
Heavy Industry |
(13) 0.39 (2.00)** |
0.03 (0.22) |
0.41 (1.81)* |
-0.06 (0.29) |
0.34 (0.82) |
0.19 (0.85) |
Mining |
(14) 0.85 (3.93)*** |
0.14 (0.90) |
0.89 (3.65)*** |
0.21 (1.03) |
0.77 (1.36) |
-0.11 (0.35) |
Construction |
(15) 0.50 (3.08)*** |
0.21 (1.95)** |
0.50 (2.63)*** |
0.24 (1.45) |
0.60 (1.77)* |
0.24 (1.57) |
Transportation |
(16) 0.27 (1.41) |
0.04 (0.37) |
0.24 (0.85) |
0.05 (0.23) |
0.43 (1.29) |
0.003 (0.03) |
Commerce |
(17) 0.43 (2.13)** |
0.12 (0.86) |
0.50 (2.12)** |
0.30 (1.46) |
0.24 (0.59) |
-0.36 (1.57) |
F-Stat on Provincial Dummies |
13.4*** |
33.9*** |
7.0*** |
17.6*** |
7.9*** |
19.4*** |
Adj. R-Squared_____________ |
___________0.27 |
0.30 |
__________0.24 |
0.26__________ |
________0.33 |
________0.33 |
Absolute value of t-stats are in parenthesis, *, **, *** indicate significance at 10, 5 and 1 percent respectively. | ||||||
a Dummy variable for villages that have in-commuters or in-migrants working in village enterprises | ||||||
b Out-migrants are left out as a base | ||||||
c Services are left out as a base |
42
More intriguing information
1. Special and Differential Treatment in the WTO Agricultural Negotiations2. Staying on the Dole
3. Optimal Taxation of Capital Income in Models with Endogenous Fertility
4. Evidence-Based Professional Development of Science Teachers in Two Countries
5. INSTITUTIONS AND PRICE TRANSMISSION IN THE VIETNAMESE HOG MARKET
6. The name is absent
7. GENE EXPRESSION AND ITS DISCONTENTS Developmental disorders as dysfunctions of epigenetic cognition
8. The Effects of Attendance on Academic Performance: Panel Data Evidence for Introductory Microeconomics
9. Policy Formulation, Implementation and Feedback in EU Merger Control
10. The name is absent