The following regression uses data on illegal downloading of music. A sample of 500 individuals were asked whether they had downloaded music illegally (theft). In addition, respondents also gave answers to the following; caught: a respondent's belief of her chances of getting caught if she attempted to act illegally (0-10, 10 being “great risk") penalty: a respondent's belief regarding how severe her penalty would be if she got caught (0-10, 10 being “great risk) gender: gender, where male is 1 and female is 0 Edu: years of formal education Income: Income of the respondent (£)

MATLAB: An Introduction with Applications
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The estimated model was Theft = β0 + β1caught + β2penalty + β3gender + β4Income + β5Edu Provide an explanation of the expected signs of each of the coefficients, referring to relevant economic theory.
The following regression uses data on illegal downloading of music. A sample of 500
individuals were asked whether they had downloaded music illegally (theft). In
addition, respondents also gave answers to the following;
caught: a respondent's belief of her chances of getting caught if she attempted
to act illegally (0-10, 10 being “great risk")
penalty: a respondent's belief regarding how severe her penalty would be if
she got caught (0-10, 10 being "great risk)
gender: gender, where male is 1 and female is 0
Edu: years of formal education
Income: Income of the respondent (£)
Transcribed Image Text:The following regression uses data on illegal downloading of music. A sample of 500 individuals were asked whether they had downloaded music illegally (theft). In addition, respondents also gave answers to the following; caught: a respondent's belief of her chances of getting caught if she attempted to act illegally (0-10, 10 being “great risk") penalty: a respondent's belief regarding how severe her penalty would be if she got caught (0-10, 10 being "great risk) gender: gender, where male is 1 and female is 0 Edu: years of formal education Income: Income of the respondent (£)
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