d. From the estimated coefficient of the variable edu, how do you conclude about the impact of spending on labor training on the performance of the enterprise?e. From the estimated coefficient of the variable RD, how do you conclude about the impact of spending on R&D on the performance of the business?f. Can it be concluded that enterprise size has a positive effect on firm performance? Why? Please help me with these questions and provide detail answer. i would need your answers to review for exam. Thank you in advanced!! To evaluate the impact of FDI on business performance, we consider the following modelIn VAit = Bo + B₁ In Kit + ß₂ ln Lit +B3FDIit + B4eduit + ß5RDit + B6sizeit + Ci + Uitwhere, In VAis the natural logarithm of total added value; FDI is a dummy variable, equal to1 if the enterprise has foreign direct investment, and zero otherwise; In K is the naturallogarithm of total capital; In L is the logarithm of total labor; edu is labor training cost/totallabor; RD is the total cost of research and development/total investment; size is the size of thebusiness, the dummy variable includes 4 categories (1-super small; 2-small; 3-medium; 4-large), and size_1 is the base category.The estimated results of the panel model are reported below.Fixed-effects (within) regressionGroup variable: ma_thueNumber of obsNumber of groups=736,694105, 242 R-sq:within = 0.3026between 0.8641overall = 0.7677corr (u_i, Xb) = 0.46781n_VA_1n_K_ |1n_L_ |fdieduR&Dsize |234.033728I-.0277995I -.08742933.944356sigma_u | .67424384sigma_e |63714114rho528270133Coef.cons |152219.7200339.2223424.0001049.0000101RobustStd. Err..0014121.0031237.0356943.0000345.0000192F(8,105241)Prob > F= 15766.300.0000(Std. Err. adjusted for 105,242 clusters in ma_thue).0042856.0080698.0115103tObs per group:6.233.04-0.53P>|t|107.800.000230.51 0.0000.0000.0020.5997.87 0.000-3.44 0.001-7.60 0.000.0112145 351.72 0.000minavgmax[95% Conf. Interval]1494513.7139116.1523822.0000373-.0000477.0253283-.0436162-.109989377.073.922376(fraction of variance due to u_i)1549867.7261563.2923027.0001725.0000275.0421277-.0119827-.06486943.966336

d. The estimated coefficient of the variable edu is positive and statistically significant at a very…

d. From the estimated coefficient of the variable edu, how do you conclude about the impact of spending on labor training on the performance of the enterprise? e. From the estimated coefficient of the variable RD, how do you conclude about the impact of spending on R&D on the performance of the business? f. Can it be concluded that enterprise size has a positive effect on firm performance? Why?

d. From the estimated coefficient of the variable edu, how do you conclude about the impact of spending on labor training on the performance of the enterprise? e. From the estimated coefficient of the variable RD, how do you conclude about the impact of spending on R&D on the performance of the business? f. Can it be concluded that enterprise size has a positive effect on firm performance? Why?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Question

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d. From the estimated coefficient of the variable edu, how do you conclude about the impact of spending on labor training on the performance of the enterprise?
e. From the estimated coefficient of the variable RD, how do you conclude about the impact of spending on R&D on the performance of the business?
f. Can it be concluded that enterprise size has a positive effect on firm performance? Why?

Please help me with these questions and provide detail answer. i would need your answers to review for exam. Thank you in advanced!!

To evaluate the impact of FDI on business performance, we consider the following model
In VAit = Bo + B₁ In Kit + ß₂ ln Lit +B3FDIit + B4eduit + ß5RDit + B6sizeit + Ci + Uit
where, In VAis the natural logarithm of total added value; FDI is a dummy variable, equal to
1 if the enterprise has foreign direct investment, and zero otherwise; In K is the natural
logarithm of total capital; In L is the logarithm of total labor; edu is labor training cost/total
labor; RD is the total cost of research and development/total investment; size is the size of the
business, the dummy variable includes 4 categories (1-super small; 2-small; 3-medium; 4-
large), and size_1 is the base category.
The estimated results of the panel model are reported below.
Fixed-effects (within) regression
Group variable: ma_thue
Number of obs
Number of groups
=
736,694
105, 242

R-sq:
within = 0.3026
between 0.8641
overall = 0.7677
corr (u_i, Xb) = 0.4678
1n_VA_
1n_K_ |
1n_L_ |
fdi
edu
R&D
size |
234
.033728
I
-.0277995
I -.0874293
3.944356
sigma_u | .67424384
sigma_e |
63714114
rho
52827013
3
Coef.
cons |
152219
.7200339
.2223424
.0001049
.0000101
Robust
Std. Err.
.0014121
.0031237
.0356943
.0000345
.0000192
F(8,105241)
Prob > F
= 15766.30
0.0000
(Std. Err. adjusted for 105,242 clusters in ma_thue)
.0042856
.0080698
.0115103
t
Obs per group:
6.23
3.04
-0.53
P>|t|
107.80
0.000
230.51 0.000
0.000
0.002
0.599
7.87 0.000
-3.44 0.001
-7.60 0.000
.0112145 351.72 0.000
min
avg
max
[95% Conf. Interval]
1494513
.7139116
.1523822
.0000373
-.0000477
.0253283
-.0436162
-.1099893
7
7.0
7
3.922376
(fraction of variance due to u_i)
1549867
.7261563
.2923027
.0001725
.0000275
.0421277
-.0119827
-.0648694
3.966336

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