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Consider the following table from Neal & Johnson (1995). Which of the following statements are true: ТАBLE 1 Log WAGE REGRESSIONS BY SEX MEN (N 1,593) WOMEN (N 1,446) %3D (1) (2) (3) (4) (5) (6) Black -.244 (.026) -.113 -.196 -.072 -.185 -.155 .035 (.025) -.045 (.027) .005 (.029) -.028 (.027) .057 (.031) .145 Hispanic (.030) .048 (.029) .046 (.030) .040 (.033) .010 (.031) .009 (.014) (.032) .023 Age (.014) (.013) .172 (.013) (.015) (.015) .228 (.015) .013 (.013) AFQT (.012) -.013 (.011) AFQT High grade by 1991 .061 (.005) .155 .088 ... ... (.005) .191 R? .059 .168 .029 .165 Controlling for test scores makes the coefficient for Black men smaller (in absolute terms) Being a black woman decreases wages by -$1.55, controlling for years of schooling Hispanic women have lower wages when controlling for test scores. This estimate is statistically significant.

Consider the following table from Neal & Johnson (1995). Which of the following statements are true: ТАBLE 1 Log WAGE REGRESSIONS BY SEX MEN (N 1,593) WOMEN (N 1,446) %3D (1) (2) (3) (4) (5) (6) Black -.244 (.026) -.113 -.196 -.072 -.185 -.155 .035 (.025) -.045 (.027) .005 (.029) -.028 (.027) .057 (.031) .145 Hispanic (.030) .048 (.029) .046 (.030) .040 (.033) .010 (.031) .009 (.014) (.032) .023 Age (.014) (.013) .172 (.013) (.015) (.015) .228 (.015) .013 (.013) AFQT (.012) -.013 (.011) AFQT High grade by 1991 .061 (.005) .155 .088 ... ... (.005) .191 R? .059 .168 .029 .165 Controlling for test scores makes the coefficient for Black men smaller (in absolute terms) Being a black woman decreases wages by -$1.55, controlling for years of schooling Hispanic women have lower wages when controlling for test scores. This estimate is statistically significant.

Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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Consider the following table from Neal & Johnson (1995). Which of the following statements are true: TABLE 1 LoG WAGE REGRESSIONS BY SEX MEN (N 1,593) WOMEN (N 1,446) (1) (2) (3) (4) (5) (6) Black -.244 -.196 -.072 -.185 -.155 .035 (.026) -.113 (.025) – .045 (.029) .046 (.027) .005 (.029) - .028 (.033) .010 (.027) (.031) Hispanic .057 .145 (.030) .048 (.030) .040 (.031) (.032) Age .009 .023 (.014) (.013) .172 (.012) -.013 (.011) (.013) (.015) (.014) AFQT (.015) .228 AFQT? (.015) .013 (.013) High grade by 1991 .061 .088 (.005) .155 (.005) .191 R? .059 .168 .029 .165 Controlling for test scores makes the coefficient for Black men smaller (in absolute terms) Being a black woman decreases wages by -$1.55, controlling for years of schooling Hispanic women have lower wages when controlling for test scores. This estimate is statistically significant. Black men have 19.6% lower wages when controlling for years of schooling Age is statistically insignificant across all specifications
Transcribed Image Text:Consider the following table from Neal & Johnson (1995). Which of the following statements are true: TABLE 1 LoG WAGE REGRESSIONS BY SEX MEN (N 1,593) WOMEN (N 1,446) (1) (2) (3) (4) (5) (6) Black -.244 -.196 -.072 -.185 -.155 .035 (.026) -.113 (.025) – .045 (.029) .046 (.027) .005 (.029) - .028 (.033) .010 (.027) (.031) Hispanic .057 .145 (.030) .048 (.030) .040 (.031) (.032) Age .009 .023 (.014) (.013) .172 (.012) -.013 (.011) (.013) (.015) (.014) AFQT (.015) .228 AFQT? (.015) .013 (.013) High grade by 1991 .061 .088 (.005) .155 (.005) .191 R? .059 .168 .029 .165 Controlling for test scores makes the coefficient for Black men smaller (in absolute terms) Being a black woman decreases wages by -$1.55, controlling for years of schooling Hispanic women have lower wages when controlling for test scores. This estimate is statistically significant. Black men have 19.6% lower wages when controlling for years of schooling Age is statistically insignificant across all specifications
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