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...

See similar textbooks

Similar questions

What are the Cautions in Regression Analysis?
I need help phrasing a quantitative research question. The topic is on Health, it is focused on Widowed Americans as the dependent variable, and their quality of life (Excellent - Poor)as the independent variable. An overlapping variable would be sex (male - female).
Explain why the interpretation of the regression coefficients is difficult when the predictor variables are highly intercorrelated.
A survey conducted by a research team was to investigate how the education level, tenure in current employment, and age, are related to annual income. A sample 20 emloyees is selected and the data is given below. 1. Which variable has significant relationship with income at 0.05 level of significance?
A researcher is investigating the effectiveness of two weight loss treatments. The number of patients attending Treatment A and Treatment B are 30 and 32 respectively. The patients’ weight losses (in Kg) after a two-month treatment period are recorded and shown in Table 1: What type of research design you think this research should be classified? Explain your answer. Based on the research objective of the study, identify the: Independent and dependent variables of this research. Scale of measurement of each of the independent and dependent variables. For EACH of the treatment, determine/construct the following measures and histograms of weight losses using SPSS or any suitable statistical analysis tool: Mean Median Range Histogram d. Based on the histograms of weight losses produced in (c), briefly describe: The shape of distribution of weight losses for EACH treatment. How does the distribution of Treatment A differ from Treatment B e.…
If you want to reproduce the analysis with similar data, what is standing in your way in producing the same results?
Give an example of how a nonrepresentative sample can severely affect a regression analysis.
Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
distinguish between the unit of analysis and the aggregates?
1. Identify whether the variable in the information below is qualitative or quantitative. A nurse collects blood from kids and measure their blood-sugar content. This measure of blood-sugar concentration is a variable. a. quantitative b. qualitative c. qualitative as well as quantitative d. neither qualitative nor quantitative 2. Identify the technique for gathering data in the study below. A pharmaceutical firm wants test the effectiveness of a new drug. It wants to know if the new drug is significantly stronger than the conventional drug. This is a/an study. a. observational b. experimental c. census d. sampling 3. You want to plot a frequency graph of daily rainfall, with rainfalls (inches) on the horizontal axis. You will use a a. bar chart b. histogram c. cumulative frequency d. best fit line 4. Frequency of categorical data are displayed using a a. bar chart b. histogram c. time series graph d. best fit line
Students also often confuse the idea of Lurking Variable and Confounding Variable, but these are different but possibly related. This discussion is designed for students to help each other build a complete understanding, and clearly separate these as two distinct concepts. Discuss the similarities and differences between these, as well as what they imply for the conclusions of a research study.
A major software company is considering a price increase on its most popular product. They are currently selling below their competitor’s price. Someone from the Brand team suggested they check consumer response before making a price increase. You are called into explain how this marketing research might be carried out. In terms of qualitative and quantitative options you tell them...