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Bài tập môn kinh tế tài chính, Schemes and Mind Maps of Economics

Bài tập trong sách môn kinh tế tài chính của đại học kinh tế tp

Typology: Schemes and Mind Maps

2022/2023

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Advanced Econometrics STATA/EVIEW Problem Set 1
1
Danh sách nhóm
Họ và tên
Phạm Thương Trà
Nguyễn Thảo My
Trần Khánh Trâm
Trần Khánh Vy
Giảng viên : Nguyễn Hữu Huân
ADVANCED ECONOMETRIC COURSE
PART I: BASIC ECONOMETRIC MODELS
STATA/EVIEWS PROBLEM SET 1
An Empirical Investigation of the Determinants of Economic
Growth
In this problem set, you explore the determinants of economic growth using the cross-
country data set (growthdata.dta). Table 1 defines the variables used in this problem
set follows the questions.
1. Table 2 presents the results of three regressions, one in each column. Estimate the
indicated regressions and fill in the values. For example, to fill in column (1),
estimate the regression with growth as the dependent variable and tradeshr and
school60 as the independent variables, using the “robust” option, and fill in the
estimated coefficients and standard errors; also compute and fill in the value of the
F-statistic and p-value testing the hypothesis that the coefficients on tradeshr and
school60 are both zero. The adjusted R2can be computed by rerunning this
regression without the “robust” option.
Note: the regressions in Table 2 all exclude the observation on Malta.
reg growth tradeshr school60 if tradeshr<1.5, robust
display "Adjusted R-squared = " e(r2_a)
pf3
pf4
pf5

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Danh sách nhóm Họ và tên Phạm Thương Trà Nguyễn Thảo My Trần Khánh Trâm Trần Khánh Vy Giảng viên : Nguyễn Hữu Huân ADVANCED ECONOMETRIC COURSE PART I: BASIC ECONOMETRIC MODELS STATA/EVIEWS PROBLEM SET 1 An Empirical Investigation of the Determinants of Economic Growth In this problem set, you explore the determinants of economic growth using the cross- country data set (growthdata.dta). Table 1 defines the variables used in this problem set follows the questions.

  1. Table 2 presents the results of three regressions, one in each column. Estimate the indicated regressions and fill in the values. For example, to fill in column (1), estimate the regression with growth as the dependent variable and tradeshr and school60 as the independent variables, using the “robust” option, and fill in the estimated coefficients and standard errors; also compute and fill in the value of the F -statistic and p -value testing the hypothesis that the coefficients on tradeshr and school60 are both zero. The adjusted R 2 can be computed by rerunning this regression without the “robust” option. Note : the regressions in Table 2 all exclude the observation on Malta. reg growth tradeshr school60 if tradeshr<1.5, robust display "Adjusted R-squared = " e(r2_a)

test tradeshr school

  1. Estimate the regression of growth against tradeshr , school60 , and oil. What is the coefficient on oil? Explain why you obtained this result. Trả lời : coefficient oil 0 biến độc lập oil không tác dộng đến growth
  2. Use Table 2 to answer the following questions. a) Write the regression in column (1) in “equation form,” with the standard error below the respective regression coefficient. Y= -0.0012872 + 0.053624tradeshare Y= -0.0012872 + 0.4435137school Trả lời : tradeshr= - 0.12222363 + 1.897823* growth school60= -0.12222363 + 0.2429753 * growth b) Explain in words what the coefficient on school60 means in regression (1). Khi school60 tăng 1 đơn vị thì growth tăng 0. Trả lời: Biến độc lập school60 có tác động đến biến phụ thuộc growth. Khi biến độc lập school60 tăng 1 đơn vị thì biến phụ thuộc growth tăng 0.2429753 lần c) Using regression (1), test the hypothesis that the coefficient on tradeshr is zero, against the alternative that it is nonzero, at the 5% significance level. In everyday words (not statistical terms), what precisely is the hypothesis that you are testing?

k) Explain why the coefficient on school60 and its standard error are so different in regressions (1) and (2). Trả lời: Sự khác biệt về độ lệch chuẩn hoặc đơn vị đo khiến việc đưa các biến độc lập vào cùng một phép so sánh là hoàn toàn không chính xác, do lúc này các biến không cùng nằm trong một hệ quy chiếu. l) Using regression (3), estimate the difference in growth rates between a country with 4 years of school and 8 years of school in 1960, holding constant the other variables in regression (3). Also compute a 95% confidence interval for this difference. Trả lời:Tốc độ tăng trư ởng giữa một quốc gia với 4 năm học và 8 năm học 1960 chúng ta có thể so sánh về số năm đi học bình quân tốc dộ tăng trưởng quốc gia tăng theo trình độ học vấn Table 1: Definitions of Selected Variables in growthdata.dta Variable Definition growth Average annual percentage growth of real (i.e. inflation-adjusted) per capita (i.e. divided by population) Gross Domestic Product (GDP) from 1960 to 1995. tradeshr The average share of trade in the economy from 1960 to 1995, measured as the sum of exports plus imports, divided by GDP; that is, the average value of ( X + M )/ GDP from 1960 to 1995, where X = exports and M = imports (both X and M are positive). school60 Average years of schooling in total population in 1960. capstock60 Capital stock, in thousands of US$, per capita, in 1960 (the capital stock is the value of all fixed structures and machines). revc Average annual number of revolutions, insurrections (successful or not) and coup d’etats in that country from 1960 to 1995.

civil Index of civil liberties, on a scale of 1 (most civil liberties) to 10 (none). oil = 1 if oil accounted for at least half of exports in 1960. = 0 otherwise. Table 2: Growth Regression Results Dependent variable: Growth Regressor (1) (2) (3) tradeshare (^) 1.897823 1.818513 1. school60 (^) 0.2429753 0.0513033 0. capstock60 (^) -0.1365592 -0. revc (^) -1. civil (^) -0. Intercept (^) -0.12222363 -0.3283159 1. F-statistics testing the hypothesis that the population coefficients on the indicated regressors are all zero: tradeshare , school60 (^) 1.898 0.936 0. tradeshare , school60, capstock

revc , civil (^) -0. Regression summary statistics 0.133 0.184 0. 2 R 0.161^ 0.223^ 0. Regression RMSE (^) 174.432 161.533 144. n (^) 64 64 63