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11. Which type of data is displayed in the table below? obene year hprice proglas surf bdrms brems 1993 85500 1600 1993 1440 1901 How 200000 was 2436 1290 1.0 22000 20 1540 20 1100 250 252 259 63000 182400 97500 57200 A 1905 1995 1905 520 1995 16 a) Cross section b) Pooled cross section. c) Panel data d) Time series data 20 2 1.5

11. Which type of data is displayed in the table below? obene year hprice proglas surf bdrms brems 1993 85500 1600 1993 1440 1901 How 200000 was 2436 1290 1.0 22000 20 1540 20 1100 250 252 259 63000 182400 97500 57200 A 1905 1995 1905 520 1995 16 a) Cross section b) Pooled cross section. c) Panel data d) Time series data 20 2 1.5

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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11. Which type of data is displayed in the table below? obsne year hprice pregtas sgrf bthr bdrs 1993 20 1993 670 140 13 20 23 200 243 4. 3.0 251 16 1250 252 1995 20 2200 4. 253 1540 20 320 1995 57200 16 a) Cross section b) Pooled cross section c) Panel data d) Time series data 12. What is not an advantage of using pooled cross section as opposed to a single cross section? a) Standard errors will be smaller. b) It allows us to estimate how the effect of one factor has changed over time. c) It allows us to do first diference and fixed effects estimation. d) It allows us to estimate time trends conditional on explanatory variables. 13. What is the IV estimator, By, in a model with the dependent variable y, the endogenous independent variable x and the instrumental variable z? Note that no other independent variables are included in this IV estimation. a) By = Brs, where Br, is the estimated first stage coefficient and Bar is the BRF estimated reduced form coefficient. Cov(xy) b) Bv Var(x) c) Bv Cov(zy) %3D Var (z) d) By Cov(z.y) Cov(z,x) %3D
Transcribed Image Text:11. Which type of data is displayed in the table below? obsne year hprice pregtas sgrf bthr bdrs 1993 20 1993 670 140 13 20 23 200 243 4. 3.0 251 16 1250 252 1995 20 2200 4. 253 1540 20 320 1995 57200 16 a) Cross section b) Pooled cross section c) Panel data d) Time series data 12. What is not an advantage of using pooled cross section as opposed to a single cross section? a) Standard errors will be smaller. b) It allows us to estimate how the effect of one factor has changed over time. c) It allows us to do first diference and fixed effects estimation. d) It allows us to estimate time trends conditional on explanatory variables. 13. What is the IV estimator, By, in a model with the dependent variable y, the endogenous independent variable x and the instrumental variable z? Note that no other independent variables are included in this IV estimation. a) By = Brs, where Br, is the estimated first stage coefficient and Bar is the BRF estimated reduced form coefficient. Cov(xy) b) Bv Var(x) c) Bv Cov(zy) %3D Var (z) d) By Cov(z.y) Cov(z,x) %3D
14. Imagine we want to estimate the effect of education on log(wage) with an instrumental variable estimation. Which of the following variables is most likely to fulfill the IV exogeneity assumption? a) Score on an IQ test. b) Day of the week on which the individual was born. c) Female. d) Work experience. 15. Consider the following figure Outcome T, В T;- C2 Pre-treatment Post-treatment Time where T, and C, are the outcomes of the treatment and control group before the treatment (in period 1) and T, and C, are the outcomes of the treatment and control group after the treatment (in period 2). B is the outcome of the treatment group in period 2 if the treatment group would not have been treated. What is the causal effect of the treatment and the difference in difference (Diff-in- Diff) estimator of the treatment? a) Causal effect: T,- B. Diff-in-Diff estimator: T- A b) Causal effect: T,- A. Diff-in-Diff estimator: T,- C, c) Causal effect: T,- T,. Diff-in-Diff estimator: T,- A d) Causal effect: T,- B. Diff-in-Diff estimator: T,- B
Transcribed Image Text:14. Imagine we want to estimate the effect of education on log(wage) with an instrumental variable estimation. Which of the following variables is most likely to fulfill the IV exogeneity assumption? a) Score on an IQ test. b) Day of the week on which the individual was born. c) Female. d) Work experience. 15. Consider the following figure Outcome T, В T;- C2 Pre-treatment Post-treatment Time where T, and C, are the outcomes of the treatment and control group before the treatment (in period 1) and T, and C, are the outcomes of the treatment and control group after the treatment (in period 2). B is the outcome of the treatment group in period 2 if the treatment group would not have been treated. What is the causal effect of the treatment and the difference in difference (Diff-in- Diff) estimator of the treatment? a) Causal effect: T,- B. Diff-in-Diff estimator: T- A b) Causal effect: T,- A. Diff-in-Diff estimator: T,- C, c) Causal effect: T,- T,. Diff-in-Diff estimator: T,- A d) Causal effect: T,- B. Diff-in-Diff estimator: T,- B
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