QNo. 4 growth of Pakistan is facing issues of energy supplies, oil prices volatility and political instability. Several econometric tests are applied to know the cause and effects of different factors of economy. Your job is to develop a suitable model, equation and interpret the following E-views results Economic growth requires stability of political system and affordable inputs. The economic objectively, state the hypothesis explicitly, and also state what method of regression is used for the purpose, and what does R-Square means and implies here (7+8+6-20). Dependent Variable: GDP Method: ARDL Variable Coefficient Std. Error t-Statistic Prob." EC -12041826 6881542. -1.749873 0.0919 PIS 94055749 1.03E+08 0.916839 0.3677 1.26E+08 -3.171153 0.0039 INF -4.00E+08 0.0485 42080283 0.433188 OP 18228694 0.0000 1.89E+10 5.423712 1.02E+11 8.36E+10 0.998694 Mean dependent var R-squared 2.127761 1325.844 Durbin-Watson stat F-statistic 0.000000

QNo. 4 growth of Pakistan is facing issues of energy supplies, oil prices volatility and political instability. Several econometric tests are applied to know the cause and effects of different factors of economy. Your job is to develop a suitable model, equation and interpret the following E-views results Economic growth requires stability of political system and affordable inputs. The economic objectively, state the hypothesis explicitly, and also state what method of regression is used for the purpose, and what does R-Square means and implies here (7+8+6-20). Dependent Variable: GDP Method: ARDL Variable Coefficient Std. Error t-Statistic Prob." EC -12041826 6881542. -1.749873 0.0919 PIS 94055749 1.03E+08 0.916839 0.3677 1.26E+08 -3.171153 0.0039 INF -4.00E+08 0.0485 42080283 0.433188 OP 18228694 0.0000 1.89E+10 5.423712 1.02E+11 8.36E+10 0.998694 Mean dependent var R-squared 2.127761 1325.844 Durbin-Watson stat F-statistic 0.000000

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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b. The following model is a simplified version of the multiple regression model used by BEST Econometrics Group to study the trade off between time spent sleeping and working to look at other factors affecting sleep: sleep Bo + B₁totwrk + B₂educ + Page + μ₁ where sleep and totwork (total work) are measure in minutes per week and educ and age are measured in years. (i) If adults trade sleep for work, what is the sign of B₁? (ii) What signs do you think ₂ and 3 will have? (iii) Using the data in SLEEP75.RAW, the estimated equation is sleep = 3,638.25-.148totwrk-11.13educ - 2.20age, n = 706, R² = .113 If someone works five hours per week, by how many minutes is sleep predicted to fall? Is this a large tradeoff? (iv) Discuss the sign and magnitude of the estimated coefficient on educ (v) Would you say totwrk, educ, and age explain much of the variation in sleep? (vi) What other factors might affect the time spent sleeping? (vii) Are these likely to be correlated with totwrk?
Define Interpretation of coefficients in polynomial regression models?
46) The following model is a simplified version of the multiple regression model used by Biddle and Hamermesh (1990) to study the trade-off between time spent sleeping and working and to look at other factors affecting sleep: sleep = Bo + B₁totwrk + ß₂educ + ß3age +u, where sleep and totwrk (total work) are measured in minutes per week and educ and age are measured in years. (i) If adults trade off sleep for work, what is the sign of f₁? (ii) What signs do you think ₂ and 3 will have? (iii) Using the data in SLEEP75, the estimated equation is sleep = 6,241.15 + 0.211totwrk + 9.22educ + 1.67age n = 211, R² = 0.981 If someone works five more hours per week, by how many minutes is sleep predicted to fall? Is this a large tradeoff? (iv) Discuss the sign and magnitude of the estimated coefficient on educ. (v) Would you say totwrk, educ, and age explain much of the variation in sleep? What other factors might affect the time spent sleeping? Are these likely to be correlated with totwrk?
Question 8/27 With Logit model, an estimated econometric model has information as follows: Dependent variable is the probability to be in the labor force (inlbforce): Inlbforce: =1 if being in the labor force; 2 independent variables: Age: age in years; Educ: education level; Kids6: number of kids less than 6 years old. All indep variables are statistically significant. The estimated coefficient of Age equals -0.035; The estimated coefficient of Edh equals 0.0261; The estimated coefficient of Kids6 equals -0.103; Intercept coefficient equals-1.283 The right value of z when age = 45, educ = 13, kids6 = 2 equals: O -2.7247 O -3.7256 O 3.7247 Go to question * PREVIOUS NEXT > Address
Which of the following statements are true? a. The standard error of a regression, 6, is not an unbiased estimator for σ, the standard deviation of the error, u, in a multiple regression model. b. In time-series regressions, OLS estimators are always unbiased. c. Almost all economists agree that unbiasedness is a minimal requirement for an estimator in regression analysis. d. All estimators in a regression model that are consistent are also unbiased. ○ a. a O b. b О с. O d. d
1. Suppose output (Q) is related to labor (L) and capital (K) in the following nonlinear way: Q = albKc When taking log to this equation, it is transformed into a linear LnQ = Ina + b In(L) + c Ln (K) One hundred twenty-three observations are used to obtain the following regression results: Dependant Variable: Observations: Variable Intercept L K Q 123 5.5215 Parameter Standard Estimate error 0.650 R-square 0.350 0.7547 0.9750 0.2950 0.1450 F-ratio 184.56 t-ratio 5.66 2.20 2.41 p-value on F 0.00001 p-value 0.0001 0.0295 0.0173 a. Write the regression equation based on the output either in the transformed linear form or the original non-linear form.
How would you describe this data?
number 1 please
2- Which model is the regression model given below called in econometrics?? y = Bo + Bxi + Bx2 + Bzx3 + .. + Bxk a) Simple regression model b) Sample regression model Population regression model d) Time regression model Leave blank
This is an econometrics question. Please answer in 4 decimal places
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Romer Model Exercise: Consider the Romer model, Y = A,Nyt, AAt+1 Ão = 10,1 = 0.01, z = 0.035, Ñ = 100. ZAĄNat, and parameter values are: (a) What is the growth rate of GDP per capita? What is the per capita GDP at period 60, Yt=60? (b) Suppose at period 60, the number of researchers decrease by 50% permanently. Draw a graph to show the impact. What is the value of per capita GDP, y4=60, now? (c) Suppose now the production function is still Y; = A¿Nyt, but the accumulation of ideas becomes AAt+1 = ZA?$ Nat. What is the growth rate of ideas? (d) Following from (c), what is the growth rate of output per capita at period 1?