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28.57143. 35.71429. 35.71429. 100%. 100%. Exam 1 Exam 2 Aplia Score Predicted Grade E1 E2 A PG. Is the wage gap changing over time?. Sample from 2000 Census , when Trish would have been roughly 50 years old. . - PowerPoint PPT Presentation

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28.57143 35.71429 35.71429 100% 100%

Exam 1 Exam 2 Aplia Score Predicted Grade E1 E2 A PG

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Is the wage gap changing over time?

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Sample from 2000 Census, when Trish would have been roughly 50 years old.

Sample Selection Criteria:

โ€ข Editor (2000 code=283) or Reporter (281)โ€ข Employed by Newspaper (2000 industry=647)

โ€ข Worked more than half-time (more than 20 hours per week & 26 weeks per year)

โ€ข Wage per hour

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Male Sample Female SampleWage 21.43 17.54lnWage 2.91 2.71Education 15.66 15.56Age 41.92 40.63Sample Size (N) 1740 1330

Table 1. Means of Dependent & Explanatory Variables

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๐‘™๐‘›๐‘Š=1.177+0.073๐ธ๐‘‘+0.0141 ๐ด๐‘”๐‘’โˆ’0.174 ๐น๐‘’๐‘š๐‘Ž๐‘™๐‘’(0.0052 ) (0.0009 ) (0.0181 )

๐‘™๐‘›๐‘Š=๐›ผ0+๐›ผ1๐ธ๐‘‘+๐›ผ2 ๐ด๐‘”๐‘’+๐›ผ3 ๐น๐‘’๐‘š๐‘Ž๐‘™๐‘’+๐œ€

๐‘™๐‘›๐‘Š=1.163+0.032๐ธ๐‘‘+0.0126 ๐ด๐‘”๐‘’โˆ’0.283 ๐น๐‘’๐‘š๐‘Ž๐‘™๐‘’(0.0042 ) (0.0008 ) (0.0182 )

2000 Census

1980 Census

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๐‘™๐‘›๐‘Š=0.880+0.0965๐ธ๐‘‘+0.0081 ๐ด๐‘”๐‘’Women

Men ๐‘™๐‘›๐‘Š=1.363+0.0461๐ธ๐‘‘+0.0197 ๐ด๐‘”๐‘’

(0.0076 ) (0.0014 )

(0.0071 ) (0.0012 )

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1950 1960 1970 1980 1990 2000 2010 20200

10

20

30

40

50

60

Source: U.S. Census Bureau, Historical Income Tables, Table P-38. Full-Time, Year-Round Workers by Median Earnings and Sex

Median Annual Earnings of Full-Time Workers by Gender, 1960-2010

Earnings(thou. of 2010$)

Male

Female

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1950 1960 1970 1980 1990 2000 2010 20200

50

100

Gender Earnings Gap for Full-Time, Full-Year Workers, 1960-2010

๐‘ฌ ๐’‡๐’†๐’Ž๐’‚๐’๐’†

๐‘ฌ๐’Ž๐’‚๐’๐’†โˆ™๐Ÿ๐ŸŽ๐ŸŽ

60.7

77.4

All Measures of the Gender Gap are Narrowing

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Why is the gender earnings gap closing?

โ€ข Increases in labor market experience of womenโ€ข Increases in the education of women.

โ€ข Decreases in unionizationโ€ข Increases in the demand for intellectual skills relative

to physical strength. โ€ข Shifts of women into higher paying occupationsโ€ข Decreases in discrimination?

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SOURCE: bechdeltest.com

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โ‹ฎ โ‹ฎโ‹ฎ

๐‘ฉ๐‘น๐’–๐’๐’†

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โ‹ฎ โ‹ฎโ‹ฎ

๐‘น๐’†๐’—๐’†๐’๐’–๐’† ๐‘ฉ๐’–๐’…๐’ˆ๐’†๐’• ๐‘ฉ๐‘น๐’–๐’๐’†

โ‹ฎ

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By WALT HICKLEY

Audiences and creators know that on one level or another, thereโ€™s an inherent gender bias in the movie business โ€” whether itโ€™s the disproportionately low number of films with female leads, the process of pigeonholing actresses into predefined roles (action chick, romantic interest, middle-aged mother, etc.), or the lack of serious character development for women on screen compared to their male counterparts. Whatโ€™s challenging is quantifying this dysfunction, putting numbers to a trend that is โ€” at least anecdotally โ€” a pretty clear reality.

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By WALT HICKLEY

Audiences and creators know that on one level or another, thereโ€™s an inherent gender bias in the movie business โ€” whether itโ€™s the disproportionately low number of films with female leads, the process of pigeonholing actresses into predefined roles (action chick, romantic interest, middle-aged mother, etc.), or the lack of serious character development for women on screen compared to their male counterparts. Whatโ€™s challenging is quantifying this dysfunction, putting numbers to a trend that is โ€” at least anecdotally โ€” a pretty clear reality.

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By WALT HICKLEY

Audiences and creators know that on one level or another, thereโ€™s an inherent gender bias in the movie business โ€” whether itโ€™s the disproportionately low number of films with female leads, the process of pigeonholing actresses into predefined roles (action chick, romantic interest, middle-aged mother, etc.), or the lack of serious character development for women on screen compared to their male counterparts. Whatโ€™s challenging is quantifying this dysfunction, putting numbers to a trend that is โ€” at least anecdotally โ€” a pretty clear reality.

Whatโ€™s challenging is testing the hypothesis and measuring its magnitude.

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โ‹ฎ โ‹ฎโ‹ฎ

๐‘น๐’†๐’—๐’†๐’๐’–๐’† ๐‘ฉ๐’–๐’…๐’ˆ๐’†๐’• ๐‘ฉ๐‘น๐’–๐’๐’†

โ‹ฎ

Using data on the financial characteristics of movies released from 2005 to 2013 and their Bechdel scores, we test the hypothesis that โ€ฆ.

โ€œUsing Bechdel test data, we analyzed 1,615 films released from 1990 to 2013 to examine the relationship between the prominence of women in a film and that filmโ€™s budget and gross profits.โ€ 

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