Binary Outcomes in Decision Making Quiz

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What type of variable is the outcome of interest in the examples provided?

Binary

What distinguishes regression with a binary dependent variable from regression with a continuous dependent variable?

The need for different estimation techniques

What is the simplest model to use with binary dependent variables?

Linear probability model

Which act led to the compilation of the Boston HMDA data?

<p>Home Mortgage Disclosure Act (HMDA)</p> Signup and view all the answers

What year do the mortgage applications in the Boston, Massachusetts, area data relate to?

<p>1990</p> Signup and view all the answers

Which type of data are the Boston HMDA data described as?

<p>Structured data</p> Signup and view all the answers

What are the two most important disadvantages of the linear probability model?

<p>Fitted probabilities can be less than zero or greater than one and the partial effect of any explanatory variable is not constant</p> Signup and view all the answers

What is the primary interest in a binary response model?

<p>Estimating the probability of a given response category</p> Signup and view all the answers

In a binary response model, if x represents explanatory variables, what does y typically denote?

<p>Response indicator variable</p> Signup and view all the answers

How do more sophisticated binary response models overcome the limitations of the linear probability model?

<p>By allowing negative fitted probabilities and non-constant partial effects</p> Signup and view all the answers

Which set of explanatory variables might be included in x when analyzing employment status in a binary response model?

<p>Individual characteristics like education and age</p> Signup and view all the answers

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