| 11. | If the dependent variable is a dummy variable, then logistic regression or probit regression is commonly employed.
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| 12. | Dummy variables are used frequently in time series analysis with regime switching, seasonal analysis and qualitative data applications.
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| 13. | So the dependent dummy variable Participation would take on the value 1 if participating, 0 if not participating.
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| 14. | Note that the coefficients attached to the dummy variables are called "'differential intercept coefficients " '.
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| 15. | Note that any expression can be converted to this form by adding dummy variables that do not appear in ?.
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| 16. | Dummy variables are incorporated in the same way as quantitative variables are included ( as explanatory variables ) in regression models.
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| 17. | For this purpose, a cumulative distribution function ( CDF ) can be used to estimate the dependent dummy variable regression.
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| 18. | In regression models, the treatment is typically included as a dummy variable along with other factors that may affect risk.
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| 19. | Where T is a dummy variable for t = 2, and S is a dummy variable for s = 2.
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| 20. | Where T is a dummy variable for t = 2, and S is a dummy variable for s = 2.
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