in studying the effect of work experience and gender on wage,the equation below were estimated.They have individual wage wagei ,dependent variable and work experience experi and dummy variable womani [indicating the gender of individual i]
wagei 0+
1experi+
2womani+ui
wage= 0+
1experi
+
2womani
+
3womani
experi +ui
A ] how should the parameters k in the
model to be interpreted.
B ] what is the marginal effect of experience in each mode?
C ] how does the second equation relate to estimating the effect of experience on wage in two separate regression for men and woman`?
Homework Answers
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in studying the effect of work experience and gender on wage,the
equation below were estimated.They have...
in studying the effect of work experience and gender on wage,the equations below were estimated.They have...
in studying the effect of work experience and gender on wage,the equations below were estimated.They have individual wage wagei dependent variable, and work experience experi and a dummy variable womani [ indicating the gender of individual i ] wagei=0+1 experi+2 womani +ui wagei=0+1experi+2womani +3womani * experi+ui a. How should the parameters 0,1,2 and 3 in the models be interpreted? b. What is the marginal effect of experience in each model? c. How does the second equation relate to estimating the...
hi can someone answer part e) f) g) h) with workings olease thanks 2) A cross-sectional study suggests the following wage equation: In(wage,)-α + βι EDUC' + β:FEMALE + β3EXPER, + β4FEMALE EXP...
hi can someone answer part e) f) g) h) with workings olease
thanks
2) A cross-sectional study suggests the following wage equation: In(wage,)-α + βι EDUC' + β:FEMALE + β3EXPER, + β4FEMALE EXPERi + ei Where: In(wage): Natural logarithm of f hourly wage; EDUC: Years of education; EXPER: Years of work experience; FEMALE: Dummy which equals 1 if the respondent is female and 0 otherwise; FEMALE EXPER:Interaction between FEMALE, and EXPER a) What is meant by the population level regression...
please show all the work Are years of experience a significant predictor of earnings? Yes, because...
please show all the work
Are years of experience a significant predictor of
earnings?
Yes, because it is statistically significant in all
specifications.
Yes, because it has a positive magnitude in all
specifications.
Yes, because the t-stats in all specifications are lower than
1.96
Yes, because the t-stats in all specifications are higher than
100.
When controlling only for years of education by how much less
do females earn?
A. 26.3%
B. 0.263%
C. 2.63%
D. 43.2%
In specification (3),...
please see the chart to solve the problems and show all work. thank you! We were...
please see the chart to solve the problems and show all work. thank
you!
We were unable to transcribe this image2a) From the data in the previous problem, "run" a regression with the dependent variable is Sobin and the independent variable is the NASDAQ 1000. Calculate the Beta for Sobin. Use your figure in a sentence. Is Sobin stock is more or less risky than the NASDAQ 1000? 2b) From the regression, what is the R2 value. Use your figure...
Write out the estimated regression equation. Test for the significance of the slope at Determine the coefficient of correlation between For questions 26-28 use the following information: Below yo...
Write out the estimated regression equation.
Test for the significance of the slope at
Determine the coefficient of correlation between
For questions 26-28 use the following information: Below you are given a partial computer output based on a sample of 21 observations relating an independent variable (x) and a dependent variable (y). Predictor Coefficient Standard Error Constant 30.139 1.181 0.252 0.022 ANOVA Sum of Squares Source 1759.481 Model 259.186 Error We were unable to transcribe this imagey and y.
For...
To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with the following variables cons...
To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with the following variables considered Salary- the monthly salary (excluding fringe benefits and bonuses), Educ the number of years of education, Exper the number of months of experience, Train the number of weeks of training, Gender- the gender of an individual; 1 for males, and O for females. Excel partial outputs corresponding to these...
Please show the work! Thank you. Please use the following information (below) to create a financial...
Please show the work! Thank you.
Please use the following information (below) to create a
financial statements such as a balance sheet, income, cash flow,
etc.
Required information [The following information applies to the questions displayed below] Sage Inc. experienced the following transactions for 2018, its first year of operations: 1. Issued common stock for $110,000 cash 2. Purchased $185,000 of merchandise on account. 3. Sold merchandise that cost $162,000 for $322,000 on account 4. Collected $286,000 cash from accounts...
Answer: Please help! Electrical series circuits never make sence to me. I included the answer so that you can check your work. Hope that helps. 19. An electrical series circuit contains a resi...
Answer:
Please help! Electrical series circuits never make
sence to me. I included the answer so that you can check your
work.
Hope that helps.
19. An electrical series circuit contains a resistor with a resistance of R- 20 ohms, a capacitor with a capacitance of C 0.01 farads, and an inductor with an inductance of L 1 henry. The initial current in the circuit is 0 amperes. A variable voltage of E(t) 120 sin volts of is applied to...
1. Which of the following conditions will lead to a smaller variance for the intercept estimator...
1. Which of the following conditions will lead to a smaller variance for the intercept estimator for your multiple regression model? (A) X values cluster far from the origin of the X axis (B) X values closely pack around the mean of X in your sample (C) Small sample sizes (D) High correlation among the explanatory variables (E) Small error variance in the population regression function 2. R-squared (A) measures the proportion of variability of the dependent variable that is...
hi can someone answer part e) f) g) h) with workings olease
thanks
2) A cross-sectional study suggests the following wage equation: In(wage,)-α + βι EDUC' + β:FEMALE + β3EXPER, + β4FEMALE EXPERi + ei Where: In(wage): Natural logarithm of f hourly wage; EDUC: Years of education; EXPER: Years of work experience; FEMALE: Dummy which equals 1 if the respondent is female and 0 otherwise; FEMALE EXPER:Interaction between FEMALE, and EXPER a) What is meant by the population level regression...
please show all the work
Are years of experience a significant predictor of
earnings?
Yes, because it is statistically significant in all
specifications.
Yes, because it has a positive magnitude in all
specifications.
Yes, because the t-stats in all specifications are lower than
1.96
Yes, because the t-stats in all specifications are higher than
100.
When controlling only for years of education by how much less
do females earn?
A. 26.3%
B. 0.263%
C. 2.63%
D. 43.2%
In specification (3),...
please see the chart to solve the problems and show all work. thank
you!
We were unable to transcribe this image2a) From the data in the previous problem, "run" a regression with the dependent variable is Sobin and the independent variable is the NASDAQ 1000. Calculate the Beta for Sobin. Use your figure in a sentence. Is Sobin stock is more or less risky than the NASDAQ 1000? 2b) From the regression, what is the R2 value. Use your figure...
Write out the estimated regression equation.
Test for the significance of the slope at
Determine the coefficient of correlation between
For questions 26-28 use the following information: Below you are given a partial computer output based on a sample of 21 observations relating an independent variable (x) and a dependent variable (y). Predictor Coefficient Standard Error Constant 30.139 1.181 0.252 0.022 ANOVA Sum of Squares Source 1759.481 Model 259.186 Error We were unable to transcribe this imagey and y.
For...
To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with the following variables considered Salary- the monthly salary (excluding fringe benefits and bonuses), Educ the number of years of education, Exper the number of months of experience, Train the number of weeks of training, Gender- the gender of an individual; 1 for males, and O for females. Excel partial outputs corresponding to these...
Please show the work! Thank you.
Please use the following information (below) to create a
financial statements such as a balance sheet, income, cash flow,
etc.
Required information [The following information applies to the questions displayed below] Sage Inc. experienced the following transactions for 2018, its first year of operations: 1. Issued common stock for $110,000 cash 2. Purchased $185,000 of merchandise on account. 3. Sold merchandise that cost $162,000 for $322,000 on account 4. Collected $286,000 cash from accounts...
Answer:
Please help! Electrical series circuits never make
sence to me. I included the answer so that you can check your
work.
Hope that helps.
19. An electrical series circuit contains a resistor with a resistance of R- 20 ohms, a capacitor with a capacitance of C 0.01 farads, and an inductor with an inductance of L 1 henry. The initial current in the circuit is 0 amperes. A variable voltage of E(t) 120 sin volts of is applied to...
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