Suppose you have a sample of 64 observations of Y and X. Youestimated the following simple regression:Y = B1 + B2 X + u,where Y is a dependent variable, X is a regressor, andu is adisturbance term.What is the correct critical value of the t distribution for apositive one-tailed test at a 5% significance level?O t> co.05,63Ot< co.05,62O t> Co.05,62O t> Co.025,62

Option A Significance level = 1-5% = 0.05 Degrees of freedom = N - 1 = 63

Answered: Suppose you have a sample of 64…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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You use a dataset with 538 observations to run a simple linear regression. You find that the coefficient estimate is 3.258 and that the standard error of the coefficient estimate is 1.794. What is the lower end of the 98% confidence interval (of a two- sided test)? (you need to write a number that is rounded to the fourth digit after the decimal).
1. Suppose have the sample linear regression function: we Y = B, + B,X, +e,, Bo and B are OLS estimates, prove the following equations hold: Ee, = 0 а. %3D b. Se,x, = 0, x, is the deviation form of Xi EeÝ, = 0 c. d. Y = Y 2. Suppose the sample size n=10, we have the following figures for the sample data: ΣΥ-1110; ΣΧ-1 680; ΣΧY -204200 | ΣΧ31 5400; ΣΥ-133300 The representation of PRF is Y = b, +b,X, +u,, u, O iid N(0,4) The OLS estimates for the SRF is ß, and B a. calculate B, and B with the above figures. b. calculate the standard error of B, and B- c. calculate the determination coefficient: R? d. construct 95% confidence interval for b, and b, respectively. e. conduct hypothesis test: HO: b, =0, H1: b, #0. f. conduct hypothesis test: HO: b, =1, H1: b, #1.
(Yi, X1i, X2i) satisfy the assumptions of the attachment. You are interestedin β1, the causal effect of X1 on Y. Suppose that X1 and X2 are uncorrelated.You estimate β1 by regressing Y onto X1 (so that X2 is not included in theregression). Does this estimator suffer from omitted variable bias? Explain.
The model initial setup is• The number of vacancies posted in the economy during a particular month is v = 100.• There were initially u = 225 unemployed workers at the beginning of the month.• Suppose that the average wage is 0.6 relative to their productivity. Unemployed workersreceive benefits that are half the wage, i.e., b = 0.3 relative to productivity.• Suppose that the number of matches between firms and workers are given by thefollowing matching functionsM = Au^0.5v^0.5• Suppose that 45 workers were able to find a job by the end of the month.Answer the following questions.a) What is the monthly job finding rate?b) What is the probability that an average vacancy is filled in a month?c) What is the job creation cost, k?d) What is the value of A?e) Explain how introducing a searching cost to this model would affect the queue length,the number of vacancy and unemployment rate, and wage.
q14-
Please do not explain, just say the answer like A,B,C,D,
19. The White test test statistic is n*R² ~x²(S-1). Where is the R² in the test statistic measured? A. The original econometric model when estimated using the White Robust Estimator B. The average from all the auxiliary regressions estimated with each explanatory variable as a function of the other explanatory variables C. The original econometric model before any test of heteroskedasticity has been performed D. The auxiliary regression of residuals as a function of the explanatory variables generating the heteroscedasticity 20. With annual times series data of 50 observations, how many observations are available to estimate the consumption econometric model CONt = Bo+ ß₁DISPYt + B₂CONt-1+ut A. 50 B. 47 C. 45 D. 49 21. Suppose the estimated simple linear demand equation for single-game tickets for a major football league is q=4.58-0.51p where q is the number of tickets sold measured in thousands and p is the dollar price of a ticket. Further assume that the point of the means_is…
What is meant by the assumption that the paired sample observations ofYi and Xi are independently and identically distributed? Why is this animportant assumption for ordinary least-squares estimation? When is thisassumption likely to be violated?
Explain Conditional Mean Independence by considering a regression with two regressors?
explain the p value
Q. 30 The t test can be used for testing the JOINT significance of ALL explanatory variables x2, x3, and x4 in a multiple regression model. O True O False
3

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