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In: Economics

What assumption can you use the binary variable specification and OLS to estimate the combined entity...

What assumption can you use the binary variable specification and OLS to estimate the combined entity and time fixed effects regression model? What is your suggested solution?

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For what kind of models can we use OLS?
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1. Explain why the linear probability model is inadequate as a specification for binary dependent variable estimation. 2. How can we measure whether the probit and logit model that we have estimated fits the data well or not? 3. How does R-square for the OLS differ frmo the pseduo R-square for binary models?
In your final specification, you allow for the binary variables to interact. The results are as...
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Why does the accountant use the business entity concept? And, When is the going-concern assumption not...
Why does the accountant use the business entity concept? And, When is the going-concern assumption not to be used?
Can you use proprietary accounting standards in a non-profit entity?
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If you estimate the beta OLS for stock i is 1.5, the standard error is 0.3....
If you estimate the beta OLS for stock i is 1.5, the standard error is 0.3. To test the two null hypothesis:β=3.5,β=-1,can you reject these two null hypotheses at 10% significance level with the tcritical = 2.96? A. β=3.5 cannot be rejected,β=-1 can be rejected B. β=3.5 can be rejected,β=-1 cannot be rejected C. β=3.5 can be rejected,β=-1 can be rejected D. β=3.5 cannot be rejected,β=-1 cannot be rejected
If you estimate the beta OLS for stock i is 1.5, the standard error is 0.3....
If you estimate the beta OLS for stock i is 1.5, the standard error is 0.3. To test the two null hypothesis:β=3.5,β=-1,can you reject these two null hypotheses at 10% significance level with the tcritical = 2.96? A. β=3.5 cannot be rejected,β=-1 can be rejected B. β=3.5 can be rejected,β=-1 cannot be rejected C. β=3.5 can be rejected,β=-1 can be rejected D. β=3.5 cannot be rejected,β=-1 cannot be rejected
a) What is the primary difference between the dependent variable of an OLS regression model and...
a) What is the primary difference between the dependent variable of an OLS regression model and a logit model? b) What is the primary difference between the model results of an OLS regression model and a logit model?
Why is the use of OLS regression inappropriate when the dependent variable is dichotomous? explain one...
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In what situation could you not use a binary search
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