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Write three econometric models capturing 1) overall; 2) within; and 3) between variation
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- Question 2 Suppose we are interested in the effect of attending a particular school on students’ income in adulthood. Let malei be a dummy variable which is equal to 1 if student i is male. Translate the following mathematical expression into plain English E(Yi(1) − Yi(0)|malei = 1). Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line .Describe the Probabilistic Analysis?How would you describe a correlation of -1? Group of answer choices There is a perfect linear relationship between x and y. There is a strong positive relationship between x and y. There is no relationship between x and y. There is a weak negative relationship between x and y. thanks
- Please give ne accurate answer with calculation10. Ecological fallacy occurs when a researcher interprets the results of group-level data to the individual level. A. TrueB. FalseC. None of the above70. The sources of auto correlation among the following are 1. omitted explanatory variables. 2. interpolation in the statistical observation. 3. mis-specification of the true random term 'v'. 4. economic variables to move together over time. Codes (a) 1 and 2 (c) 1,3 and 4 (b) 1, 2 and 3 (d) All of these.
- 1. Let kids denote the number of children ever born to a woman, and let educ denote years of education for the woman. A simple model relating fertility to years of education is kids = 0 + 1educ + u, where u is the unobserved error. (a) What kinds of factors are contained in u? Are these likely to be correlated with level of education? (b) Will a simple regression analysis uncover the ceteris paribus eect of education on fertility? Explain.With Panel Data, if we assume that the individual effects vi are not correlated with the regressors Xit (i.e. E(vi|Xit) = 0), which one of the following statements is correct: The Fixed Effects estimator is not consistent. Both the OLS and the Random Effects estimators are not consistent. The OLS estimator is not consistent, but the Random Effects estimator is consistent. The OLS and the Random Effects estimator are consistent. All of the above. None of the aboveExplain what multicollinearity . What are the main problems that multicollinearity creates for OLS estimation results ? Give two ways to detect multicollinearity problem and the hypothesis that are tested ?
- Suppose we use the linear probability model to estimate the effect of household income on the willingness to avail a loan product. Given a regression equation: Willingness = 22.34 -0.04HouseholdIncome, with HouseholdIncome measured in hundreds of pesos. How is -0.04 interpreted?(Econmetrics) Q.1 How can you test for general misspecification of model if it would have only (any of) two independent variables?I dont understand why my question is being rejected so i'll resend this one. The data is attached in the image. Please help me with these questions. Thank you in advanced!! a. How many observations are included in the data? Is the data balanced?b. Is the above result estimated from the fixed effects model or the random effects model?c. Explain the meaning of the estimate coefficient of the variable ???