Using Y as the dependent variable and X1, X2, X3, X4 and X5 as the explanatory variables, formulate an econometric model for data that is (i) time series data (ii) cross-sectional data and (iii) panel data – (Hint: please specify the specific model here not its general form).
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Using Y as the dependent variable and X1, X2, X3, X4 and X5 as the explanatory
variables, formulate an econometric model for data that is (i) time series data (ii)
cross-sectional data and (iii) panel data – (Hint: please specify the specific model here
not its general form).
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- Determine the share (proportion) of person trips by each of two modes (Private auto and mass transit) using the multinomial logit model and given and following informationQ2B. Which of the following are limitations of using Impulse Response Functions(IRFs) in time series analysis?i. IRFs are only valid for linear time series models.ii. IRFs assume that the underlying time series is stationary.iii. IRFs can provide information about the short-term dynamics of the relationshipbetween variables, but they do not capture longer-term effects or otherimportant aspects of the relationship.iv. IRFs depend on the specification of the model used to estimate the relationshipbetween variables.An independent variable in a model is also called:a. explained variable.b. unexplained variable.c. explanatory variable.d. dependent variable.
- Suppose that the following binary dependent models. The model is based on the driving test of the 400 randomly selected driver’s license applicants. Y=1 if passed the test, or 0 otherwise, and X1 is years of experiences, X2 is the years of educations. Logit: P(Y=1/X) = F(0.563+ 0.040X1+ 0.057X2) What are the probabilities of passing the test for a person with 10 years of experiences and 10 years of educations in each model?A sample of subjects were asked their opinion about refurbishing the subway in New York (support, oppose). For the explanatory variables gender (female, male), religious affiliation (Protestant, Catholic, Jewish), and political party affiliation (Democrat, Republican, Independent), the model for the probability π of supporting legalized abortion, logit(pi) = alpha + betagh + betari + betapj has reported parameter estimates (setting the parameter for the last category of a variable equal to 0.0 and alpha^ = -0.11, beta^g1 = 0.16, beta^g2 = 0.0, beta^r1 = -0.57, beta^r2 = -0.66, beta^r3 =0.0, beta^p1 =0.84, beta^p2 = -1.67, beta^p3 =0.00) . Interpret how the odds of supporting refurbishment depend on gender. Find the estimated probability of supporting refurbishment for (i) male Catholic Republicans and (ii) female Jewish Democrats. If we defined parameters such that the first category of a variable has value 0, then what would beta^g2 equal? Show then how to obtain the odds ratio that…70. 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.
- In general, what is true about the relationship between the Sum of Squared Residuals in the restricted and unrestricted model? a. SSRr = R-squared * SSRur b. SSRr < SSRur c. SSRr > SSRur d. SSRr = SSRur(Econmetrics) Q.1 How can you test for general misspecification of model if it would have only (any of) two independent variables?Please no written by hand The assumption of normally distributed errors means that... A. errors can be ignored when doing regression modelling. B. the OLS estimators can also be assumed to be normally distributed since they are a linear functions of the errors. C. the OLS estimators can also be assumed to be normally distributed since they are BLUE. D. the OLS estimators can also be assumed to be normally distributed since they are minimum variance. E. the regression model will not be subject to specification error.
- Determine the mode choice (personal vehicle or bus system) for the following regression model: Utility Function: Umode – (8.333 x 10-4)*(Access time in sec) – (6.667 x 10-4)*(Wait Time in sec) – (5.00 x 10-4)*(Riding time in sec) – (1.40)*(Cost, $) PARAMETER PERSONAL VEHICLE CITY BUS SYSTEM MODE CONSTANT -0.01 -0.07 ACCESS TIME (SECS) 300 600 WAITING TIME (SECS) 0 900 RIDING TIME (SECS) 1,500 6,000 COST (DOLLARS) $1.50 $1.00Suppose the Sherwin-Williams Company has developed the following multiple regression model, with paint sales Y (x 1,000 gallons) as the dependent variable and promotional expenditures A (x $1,000) and selling price P (dollars per gallon) as the independent variables. Y=α+βaA+βpP+εY=α+βaA+βpP+ε Now suppose that the estimate of the model produces following results: α=344.585α=344.585, ba=0.102ba=0.102, bp=−11.192bp=−11.192, sba=0.173sba=0.173, sbp=4.487sbp=4.487, R2=0.813R2=0.813, and F-statistic=11.361F-statistic=11.361. Note that the sample consists of 10 observations. 1.) According to the estimated model, holding all else constant, a $1,000 increase in promotional expenditures decrease or increase sales by approximately 102,813 or 11,192 gallons. Similarly, a $1 increase in the selling price decrease or increase sales by approximately 813,11,192 or 102 gallons. 2.)Which of the independent variables (if any) appears to be statistically significant (at the 0.05…In 2017, Philadelphia launched a sweetened beverage tax of 1.5 cents per ounce, raising the cost of a 2-liter soda bottle from about $1.50 to $2.50. One year later, the Philadelphia mayor wants to evaluate if this "sugar tax" improves the health status of Philadelphia Propose ONE method (i.e. difference-in-difference, instrumental variables, or regression discontinuity) to address these questions. write down its implementation details (the type of data you need, potential sources to get the data, equations) its pros and cons Only Typing answer please I need ASAP