Question

In: Statistics and Probability

Consider the following two estimated models (1) and (2), with all the variables already described below...

Consider the following two estimated models (1) and (2), with all the variables already described below

=========================================

Dependent variable:

   ----------------------------

log(wage)

   (1)    (2)

-----------------------------------------

educ    0.057*** 0.061***

   (0.006) (0.006)

tenure    0.018** 0.023***

(0.009) (0.009)

black    0.070 (0.276)

tenuresq -0.0003 -0.0004

   (0.0005) (0.001)

educ:black -0.031

(0.021)

tenure:black 0.018**

(0.008)

Constant 5.924*** 5.829***

   (0.088) (0.083)

-----------------------------------------

Observations    935 935

R2 0.170 0.137

=========================================

Note: *p<0.1; **p<0.05; ***p<0.01

a. From model (1), what is the estimated return to education for: i) black workers; ii) non-black workers?

b. Based on the estimated model (1) and with a 5% significance level, how significant is the impact of the variable tenure 2 on workers’ wages. (State clearly your null and alternative hypotheses, the statistics to be used, and your conclusion).

c. Provide a possible rationale for the presence of the variable tenure 2 in the models estimated above.

d. Holding everything else constant, what is the estimated effect of an additional tenure year on the wage of: i) a black worker? ii) a non-black worker?

e. From model (1), at what estimated number of tenure years does an additional year actually lower the predicted log(wage) for: i) a black worker? ii) a non-black worker?

f. From model (1), calculate the estimated effect of the 25th tenure year on the wage of: i) a black worker; ii) a non-black worker.

g. From the estimated equation (1), provide an appropriate interpretation for each of the coefficients associated to the variables black, educ, and educ*black.

h. What is the estimated percentage wage difference between black and non-black workers?

i. Based on estimated models (1) and (2), and with a 5% significance level, test whether being black has a statistically significant impact on worker’s earnings (state clearly your null and alternative hypotheses, the statistics to be used, and your conclusion).

Solutions

Expert Solution

a. i). Coefficient of educ = 0.057 which means for 100% unit increase in Education, there will be 5.7% increase in wages.

ii). coefficient of educ:black = -0.031 which means for 100% unit increase in Education, there will be 3.1% decrease in wages for black.

b). Ho: The tenure2 is not significant in the model,

H1: The tenure2 is not significant in the model

or

Test statistics : where 1,0 = 0.

Since, for tenure2 the absense of * shows it is not significant at 10%, 5% or 1%.

Hence, variable is not significant.

c). For both the models (1) and (2),

For tenure2 the absense of * shows it is not significant at 10%, 5% or 1%.

Hence, variable is not significant.

d).

i). Coefficient of tenure = 0.018 which means for 100% unit increase in Education, there will be 1.8% increase in wages.

ii). coefficient of educ:black = 0.018 which means for 100% unit increase in Education, there will be 1.8% increase in wages for black.

Same contribution

e). 100 years will actually bring a notifiable change.

f).

i). Coefficient of tenure = 0.018 which means for 100% unit increase in Education, there will be 1.8% increase in wages and 25*0.018 = 0.45 units of difference in wage.

ii). coefficient of educ:black = 0.018 which means for 100% unit increase in Education, there will be 1.8% increase in wages for black and 25*0.018 = 0.45 units of difference in wage.

Same contribution

g).

i). Coefficient of educ = 0.057 which means for 100% unit increase in Education, there will be 5.7% increase in wages.

ii). Coefficient of educ = 0.070 which means for 100% unit increase in Education, there will be 7% increase in wages.

iii). coefficient of educ:black = -0.031 which means for 100% unit increase in Education, there will be 3.1% decrease in wages for black.


Related Solutions

Consider the following data for two variables, and
Consider the following data for two variables,  and . 7 30 21 18 25   10 27 23 16 21   a. Develop an estimated regression equation for the data of the form . Comment on the adequacy of this equation for predicting . Enter negative value as negative number. The regression equation is     s= (to 3 decimals)   R2= % (to 1 decimal)   R Adjusted= % (to 1 decimal)   Analysis of Variance SOURCE DF SS(to 2...
Given the four models described below. Model 1: Aquarium Model 2: Aquarium with additional CO2 Model...
Given the four models described below. Model 1: Aquarium Model 2: Aquarium with additional CO2 Model 3: Aquarium with black paper on bottom Model 4: Aquarium with additional CO2 and black paper on bottom If each model is subjected to identical light sources, predict possible outcomes for each of the systems. Rank in order of highest to lowest equilibrium temperatures based on the impacts of the additional CO2 and black paper.   Do you think the aquarium with only C02 will...
Consider two models that you are to fit to a single data set involving three variables:...
Consider two models that you are to fit to a single data set involving three variables: A, B, and C. Model 1 : A ~B Model 2 : A ~B + C (a) When should you say that Simpson’s Paradox is occuring? A. When Model 2 has a lower R2 than Model 1. B. When Model 1 has a lower R2 than Model 2. C. When the coef. on B in Model 2 has the opposite sign to the coef....
Consider the following estimated models of the consumption function:                      C = 220 + 0.83 Yd...
Consider the following estimated models of the consumption function:                      C = 220 + 0.83 Yd - 0.075 P                             (2.1)                                        (3.54)        (2.35)                                                      R squared = 0.86                    ln C = 315.25 + 0.75 ln Yd – 0.082 ln P            (2.2)                                              (5.32)             (3.26)                            R squared = 0.965 (a)Explain the distinction between the estimated models (2.1) and (2.2)                  (Read chapter 7 : “Choosing a Functional Form”) (b)Interpret the coefficients of the income variable in both estimated models....
Questions 1-17 are related to the following Below are the values for two variables x and...
Questions 1-17 are related to the following Below are the values for two variables x and y obtained from a sample of size 5.  We want to build a regression equation based the sample data. y x 18 5 25 10 9 5 30 15 46 18 7 The prediction error for the largest value of x is, a 3.88 b 3.98 c 4.09 d 4.19 8 Sum of prediction errors is, a 1.03 b 0.08 c 0.02 d 0 9...
2. The estimated regression equation for a model involving two independent variables and 65 observations is:...
2. The estimated regression equation for a model involving two independent variables and 65 observations is: yhat = 55.17+1.2X1 -0.163X2 Other statistics produced for analysis include: SSR = 12370.8, SST = 35963.0, Sb1 = 0.33, Sb2 = 0.20. (16 points) a. Interpret b1 and b2 in this estimated regression equation b. Predict y when X1 = 65 and X2 = 70. c. Compute R-square and Adjusted R-Square. d. Comment on the goodness of fit of the model. e. Compute MSR...
Consider the following data for two variables, x and y.
  Consider the following data for two variables, x and y. x 22 24 26 30 35 40 y 11 20 33 34 39 36 (a) Develop an estimated regression equation for the data of the form ŷ = b0 + b1x. (Round b0 to one decimal place and b1 to three decimal places.)ŷ = −8.3+1.259x    (b) Use the results from part (a) to test for a significant relationship between x and y. Use α = 0.05. Find the...
Consider the following data for two variables, x and y.
Consider the following data for two variables, x and y. x   2 3 4 5 7 7 7 8 9 y 4 5 4 6 4 6 9 5 11 a. Does there appear to be a linear relationship between x and y? Explain.(f-test, to do f-test for the overall significance) b. Develop the estimated regression equation relating x and y. c. Plot the standardized residuals versus yˆ for the estimated regression equation developed in part (b). Do the model assumptions...
1. in the code below, 2 variables (largest and smallest) are declared. use these variables to...
1. in the code below, 2 variables (largest and smallest) are declared. use these variables to store the largest and smallest of three integer values. you must decide what other variables you will need and initialize them if appropriate. 2. write the rest of the program using assignment statements, if statements, or if else statements as appropriate. There are comments in the code that tell you where you should write your statements 3. compile and execute. Output should be: The...
The following questions refer to the essential steps in meiosis described below. 1. formation of 2...
The following questions refer to the essential steps in meiosis described below. 1. formation of 2 new nuclei, each with n numberchromosomes present 2. alignment of dyadsat the metaphase plate 3. separationof sister chromatids 4. separationof the homologs; no uncoupling of centromeres 5. synapsis; tetrad “chromosomes” moving to the middle of the cell in pairs 49.__  From the descriptions above, which of the following is the orderthat most logically illustrates a sequence of meiosis? A) 5, 4, 2, 3, 1      B) 5,...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT