Kristin Forbes in her American Economic Review (2000) article investigates the relationship between economic growth and inequality. She uses five yearly data for 45 countries for the time period 1965-1995. In the table below are results of her using four types of panel regression estimation techniques for the same model, where she estimates the relationship between economic growth and inequality (measured by the Gini coefficient) Estimation method Inequality Income Male Education Female Education PPP R² Countries Observations Period Fixed effects (1) 0.0036 (0.0015) -0.076 (0.020) -0.014 (0.031) 0.070 (0.032) -0.0008 (0.0003) 0.67 45 180 1965-1995 Five-year periods Random effects (2) 0.0013 (0.0006) 0.017 (0.006) 0.047 (0.015) -0.038 (0.016) -0.0009 (0.0002) 0.49 45 180 1965-1995 Chamberlain's 7-matrix (3) 0.0016 (0.0002) -0.027 (0.004) 0.018 (0.010) 0.054 (0.006) -0.0013 (0.0000) 45 135 1970-1995. Arellano and Bond (4) 0.0013 (0.0006) -0.047 (0.008) -0.008 (0.022) 0.074 (0.018) -0.0013 (0.0001) 45 135 1970-1995 Ten-year periods: fixed effects (5) 0.0013 (0.0011) -0.071 (0.016) -0.002 (0.028) 0.031 (0.030) -0.0003 (0.0003) 0.71 45 112 1965-1995 Notes: Dependent variable is average annual per capita growth. Standard errors are in parentheses. R² is the within-R² for fixed effects and the overall-R2 for random effects. *Estimates are virtually identical for the period 1970-1995 (with 135 observations). A) What is the definition of the variable she is trying to explain? In other words, what is the dependent variable? B) What are the variables which explain the dependent variable? i.e., what are the independent variables? C) In the table above, which variables are significant in explaining the dependent. variable? How do you deduce this from the table? Use one example to show how you come to the conclusion of whether a variable is significant or not. D) In regression 5 (the 5th column) Forbes runs the same regression using data for every 10 year period. What extra information does one obtain by doing this? E) What are the economic interpretations of the results from the regressions in this table? Write down each one individually in words. Make sure that you are making at comparative analysis of each regression against each other.

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Kristin Forbes in her American Economic Review (2000) article investigates the relationship
between economic growth and inequality. She uses five yearly data for 45 countries for the time
period 1965-1995. In the table below are results of her using four types of panel regression
estimation techniques for the same model, where she estimates the relationship between
economic growth and inequality (measured by the Gini coefficient)
Estimation
method
Inequality
Income
Male Education
Female Education
PPP
R²
Countries.
Observations
Period
Fixed effects
(1)
0.0036
(0.0015)
-0.076
(0.020)
-0.014
(0.031)
0.070
(0.032)
-0.0008
(0.0003)
0.67
45
180
1965-1995*
Five-year periods
Random effects
(2)
0.0013
(0.0006)
0.017
(0.006)
0.047
(0.015)
-0.038
(0.016)
-0.0009
(0.0002)
0.49
45
180
1965-1995
Chamberlain's
77-matrix
(3)
0.0016
(0.0002)
-0.027
(0.004)
0.018
(0.010)
0.054
(0.006)
-0.0013
(0.0000)
45
135
1970-1995
Arellano and
Bond
(4)
0.0013
(0.0006)
-0.047
(0.008)
-0.008
(0.022)
0.074
(0.018)
-0.0013
(0.0001)
45
135
1970-1995
Ten-year
periods:
fixed effects
(5)
0.0013
(0.0011)
-0.071
(0.016)
-0.002
(0.028)
0.031
(0.030)
-0.0003
(0.0003)
45
112
1965-1995
0.71
Notes: Dependent variable is average annual per capita growth. Standard errors are in parentheses. R² is the within-R² for
fixed effects and the overall-R2 for random effects.
* Estimates are virtually identical for the period 1970-1995 (with 135 observations).
A) What is the definition of the variable she is trying to explain? In other words, what is
the dependent variable?
B) What are the variables which explain the dependent variable? i.e., what are the
independent variables?
C) In the table above, which variables are significant in explaining the dependent
variable? How do you deduce this from the table? Use one example to show how
you come to the conclusion of whether a variable is significant or not.
D) In regression 5 (the 5th column) Forbes runs the same regression using data for
every 10 year period. What extra information does one obtain by doing this?
E) What are the economic interpretations of the results from the regressions in this
table? Write down each one individually in words. Make sure that you are making a
comparative analysis of each regression against each other.
Transcribed Image Text:Kristin Forbes in her American Economic Review (2000) article investigates the relationship between economic growth and inequality. She uses five yearly data for 45 countries for the time period 1965-1995. In the table below are results of her using four types of panel regression estimation techniques for the same model, where she estimates the relationship between economic growth and inequality (measured by the Gini coefficient) Estimation method Inequality Income Male Education Female Education PPP R² Countries. Observations Period Fixed effects (1) 0.0036 (0.0015) -0.076 (0.020) -0.014 (0.031) 0.070 (0.032) -0.0008 (0.0003) 0.67 45 180 1965-1995* Five-year periods Random effects (2) 0.0013 (0.0006) 0.017 (0.006) 0.047 (0.015) -0.038 (0.016) -0.0009 (0.0002) 0.49 45 180 1965-1995 Chamberlain's 77-matrix (3) 0.0016 (0.0002) -0.027 (0.004) 0.018 (0.010) 0.054 (0.006) -0.0013 (0.0000) 45 135 1970-1995 Arellano and Bond (4) 0.0013 (0.0006) -0.047 (0.008) -0.008 (0.022) 0.074 (0.018) -0.0013 (0.0001) 45 135 1970-1995 Ten-year periods: fixed effects (5) 0.0013 (0.0011) -0.071 (0.016) -0.002 (0.028) 0.031 (0.030) -0.0003 (0.0003) 45 112 1965-1995 0.71 Notes: Dependent variable is average annual per capita growth. Standard errors are in parentheses. R² is the within-R² for fixed effects and the overall-R2 for random effects. * Estimates are virtually identical for the period 1970-1995 (with 135 observations). A) What is the definition of the variable she is trying to explain? In other words, what is the dependent variable? B) What are the variables which explain the dependent variable? i.e., what are the independent variables? C) In the table above, which variables are significant in explaining the dependent variable? How do you deduce this from the table? Use one example to show how you come to the conclusion of whether a variable is significant or not. D) In regression 5 (the 5th column) Forbes runs the same regression using data for every 10 year period. What extra information does one obtain by doing this? E) What are the economic interpretations of the results from the regressions in this table? Write down each one individually in words. Make sure that you are making a comparative analysis of each regression against each other.
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