Postlar filtri


For a hypothetical economy, let us name it Utopian economy, characterized by being a closed and self sufficient, if the marginal propensity to save (MPS) is 0.34, then the tax multiplier of the economy approximately?
So‘rovnoma
  •   A. 1.52
  •   B. -1.52
  •   C. 1.95
  •   D. -1.95
11 ta ovoz


173.Suppose a firm produces an output Q using labor L and capital K with production functionQ =10K^0.5 L^0.5. If the output is restricted to 200 units, price of labor is 10 birr per unit, the price of labor is 10 birr per unit and Price of capital is 40Birr per unit, and then determines the amount of L and K that should be employed at minimum cost. What is the minimum cost?

A. 800     B. 400     C. 600       D. 450



Ans. A


172.Given the following national income mode; Y = C + I + G, C = 50 + 0.6 (Y-T), T = 30 + 0.3Y, I= 20 and G= 15. Equilibrium level of national income is
So‘rovnoma
  •   A. 111.5
  •   B. 67
  •   C. 80.51
  •   D. 64.65
7 ta ovoz


171.Which statement is true about probability estimation methods

A. Probit regression has a flatter distribution than logistic regression.

B. Linear probability model has constant marginal effects and hetroscedastic variance of error term

C. Both probit and logit regression models follow the same standard normal distributions

D. All models (Linear probability model, probit and logit model) has fixed marginal effects for different independent variable values.


Answer:B


170.One causes the OLS estimates to become biased.
So‘rovnoma
  •   A. Existence of hetroscedastcity problems
  •   B. Correlation between error term and explanatory variables
  •   C. Autocorrelation problems
  •   D. Near to perfect Multicollinearity problems
2 ta ovoz


169.If there is a perfect positive autocorrelation exists in our model, the Durbin-Watson test statistics will close to
So‘rovnoma
  •   A. Zero
  •   B. One
  •   C. Two
  •   D. Four
3 ta ovoz


168.Which one is true about the consequences of near perfect multicollinearity
So‘rovnoma
  •   A. OLS estimates no longer retain BLUE property
  •   B. Variances of parameter estimates becomes overestimated
  •   C. The coefficient of determination (R^2) becomes too small
  •   D. Parameter estimates becomes sensitive to small changes in the data
3 ta ovoz


167.Which one of the following reveals the advantage of 2SLS over ILS estimation techniques of a simultaneous equation model?
So‘rovnoma
  •   A. It provides multiple estimates of parameters for over identified equations.
  •   B. It cannot be applied in the case of exactly identified equations.
  •   C. It results identical estimates like ILS in case of an over identified equations.
  •   D. It offers an economical method for solving models involving a large number of equations.
2 ta ovoz


So‘rovnoma


Imagine you run an OLS regression of y on x and a constant and get an estimate of the coefficient of x equal b. Now, you switch the two variables and run a new regression of x on y and a constant & get another coefficient b. Under what conditions b=b
So‘rovnoma
  •   A. When the mean of x and mean of Y are equal
  •   B. When the sum of x square and the sum of Y square are equal
  •   C. When x and y has inverse relationships.
  •   D. When product of x and y greater than the sum of x square
1 ta ovoz


164. What would happen (other things being equal) to a confidence interval if you calculated a 95% confidence interval rather than a 99% confidence interval?
So‘rovnoma
  •   A. It will become wider
  •   B. It will not change
  •   C. It will be narrower
  •   D. The sample size will increase
3 ta ovoz


163. If the student t-calculated value of a parameter is 2.5; and the student t distribution table value at 1% and 5% significance level is 2.7 and 2.3, respectively. Then which is true about the parameter?
So‘rovnoma
  •   We should reject the Ho that the parameter is statistically significant at 5% significance level
  •   We should reject the Ho that the parameter is statistically significant at 1% significance level
  •   We should not reject the that the parameter is statistically insignificant at 5% significance level
  •   The parameter is statistically significant in both 1% and 5% significance level
2 ta ovoz


162.Which statement is incorrect about the classical linear regression assumption.
So‘rovnoma
  •   A. Mean of the error term is zero.
  •   B. Variance of the error term is constant.
  •   C. The sum of error square is assumed to be zero.
  •   D. No multicollinearity between explanatory variables.
67 ta ovoz


161. Estimation of the model using Ordinary Least square (OLS) is
So‘rovnoma
  •   A. Calculating the value of the parameters for which residual sum of square is maximized
  •   B. Calculating the value of the parameters for which likelihood function is minimized
  •   C. Calculating the value of the parameters for which residual sum of square is minimized
  •   D. Calculating the value of the parameters for which likelihood function is maximized
52 ta ovoz


160.Which statement is true about correlation and regression
So‘rovnoma
  •   A. Correlation helps to identify cause-effect relationships between economic variables.
  •   B. Regression only shows the closeness of the two economic variables.
  •   C. Regression helps to establish cause and effect relationships between economic variables
  •   D.Both regression&correlation has similar concept in measuring the associationb/n economic variables
49 ta ovoz


159.A data type that is collected from identical subjects for several period of times is called :
So‘rovnoma
  •   A. Time series data
  •   B. Longitudinal data
  •   C. Cross -sectional data
  •   D. Repeated cross sectional data
56 ta ovoz


158. An econometric evaluation criterion that evaluates the size and sign of the parameters and validity of the assumption are __ and __,respectively;
So‘rovnoma
  •   A. A priori criterion and statistical criterion
  •   B. Econometric and statistical criterion
  •   C. A priori criterion and econometric criterion
  •   D. Statistical and econometric criterion
49 ta ovoz


157.Which is incorrect about the goal of econometrics?
So‘rovnoma
  •   A. It is important for testing economic theories
  •   B. It provides relevant information for policy analysis
  •   C. It is important for forecasting/predicting future values of the outcome variable
  •   D. It provide insight only about the existing economic environment of an economy
53 ta ovoz


156.Which of the following is not a reason for incorporating disturbance/error term in the econometric model
So‘rovnoma
  •   A. Some of the factors may not even known by a person
  •   B. To consider the aggregation or measurement errors
  •   C. Randomness in human behavior
  •   D. To represent the explicitly specified independent variables in the model
49 ta ovoz


155.Which of the following questions cannot be answered by statistics
So‘rovnoma
  •   A. What is the average salary of Dashen Bank employees?
  •   B. How does the wage of average worker change if income tax is reduced?
  •   C. At what age women have first child?
  •   D. To measure the correlation between inflation and unemployment
49 ta ovoz

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