Refer to the table of estimated regressions below, computed using data for 1998 from the CPS, to answer the following question. The data set consists of information on 4000 full-time full-year...


Refer to the table of estimated regressions below, computed using data for 1998 from the CPS, to answer the following question. The data set consists of information on 4000 full-time full-year workers. The highest educational achievement of each worker was either a high school diploma or a bachelor's degree. The<br>worker's age ranged from 25 to 34 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children. West is the omitted region. A detailed description of the variables used in the data set is available here<br>Results of Regressions of Average Hourly Earnings on Gender and Education Binary<br>Variables and Other Characteristics Using 1998 Data from the Curren Population Survey.<br>Dependent variable: average hourly earnings (AHE).<br>Regressor<br>(1)<br>(2)<br>(3)<br>5.42<br>5.44<br>5.32<br>College (X,)<br>(0.26)<br>- 2.18<br>(0.21)<br>(0.26)<br>- 2.39<br>(0.21)<br>(0.26)<br>- 2.39<br>(0.21)<br>Female (X2)<br>0.14<br>0.14<br>Age (X3)<br>(0.01)<br>(0.01)<br>0.52<br>Northeast (X4)<br>(0.27)<br>0.53<br>(0.29)<br>- 0.23<br>(0.25)<br>Midwest (X5)<br>South (X6)<br>12.43<br>4.49<br>3.13<br>Intercept<br>(0.15)<br>(1.02)<br>(1.01)<br>Summary Statistics and Joint Tests<br>F-statistic for regional effects = 0<br>6.11<br>SER<br>6.27<br>6.22<br>6.21<br>R?<br>0.104<br>0.176<br>0.137<br>3628<br>3628<br>3628<br>Note: The numbers in parentheses below each estimated coefficient are the estimated<br>standard errors.<br>The regression shown in column (2) was estimated again, this time using data from 1992 (3628 observations selected at random from the March 1993 CPS, converted into 1998 dollars using the consumer price index). The results are<br>AHE = 0.77 + 5.29College - 2.59Female + 0.40Age, SER= 5.85, R = 0.21<br>(0.98) (0.20)<br>(0.18)<br>(0.03)<br>The numbers in parentheses are the estimated standard errors.<br>Calculate the t-statistic for the change in the College coefficient between 1992 and 1998.<br>The t-statistic for the change in the College coefficient between 1992 and 1998<br>(Round your response to three decimal places)<br>

Extracted text: Refer to the table of estimated regressions below, computed using data for 1998 from the CPS, to answer the following question. The data set consists of information on 4000 full-time full-year workers. The highest educational achievement of each worker was either a high school diploma or a bachelor's degree. The worker's age ranged from 25 to 34 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children. West is the omitted region. A detailed description of the variables used in the data set is available here Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using 1998 Data from the Curren Population Survey. Dependent variable: average hourly earnings (AHE). Regressor (1) (2) (3) 5.42 5.44 5.32 College (X,) (0.26) - 2.18 (0.21) (0.26) - 2.39 (0.21) (0.26) - 2.39 (0.21) Female (X2) 0.14 0.14 Age (X3) (0.01) (0.01) 0.52 Northeast (X4) (0.27) 0.53 (0.29) - 0.23 (0.25) Midwest (X5) South (X6) 12.43 4.49 3.13 Intercept (0.15) (1.02) (1.01) Summary Statistics and Joint Tests F-statistic for regional effects = 0 6.11 SER 6.27 6.22 6.21 R? 0.104 0.176 0.137 3628 3628 3628 Note: The numbers in parentheses below each estimated coefficient are the estimated standard errors. The regression shown in column (2) was estimated again, this time using data from 1992 (3628 observations selected at random from the March 1993 CPS, converted into 1998 dollars using the consumer price index). The results are AHE = 0.77 + 5.29College - 2.59Female + 0.40Age, SER= 5.85, R = 0.21 (0.98) (0.20) (0.18) (0.03) The numbers in parentheses are the estimated standard errors. Calculate the t-statistic for the change in the College coefficient between 1992 and 1998. The t-statistic for the change in the College coefficient between 1992 and 1998 (Round your response to three decimal places)
Was the change in the College coefficient between 1992 and 1998 statistically significant at the 5% significance level?<br>O A. Yes.<br>O B. No.<br>

Extracted text: Was the change in the College coefficient between 1992 and 1998 statistically significant at the 5% significance level? O A. Yes. O B. No.
Jun 11, 2022
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