3 Malthusian Model in the data This question relates to the following regression table taken from Ashref and Galor (2011). Standard errors are in parenthesis, and stars denote the level of statistical significance of the coefficients. Dependent variable is: Log years since Neolithic transition Log land productivity Log absolute latitude Mean distance to nearest coast or river Percentage of land within 100 km of coast or river Continent dummies Observations R² Log income per capita in: 1000 CE 1500 CE OLS (1) 0.159 (0.136) 0.041 (0.025) -0.041 (0.073) 0.215 (0.198) 0.124 (0.145) Yes 31 0.66 OLS (2) 0.073 (0.045) -0.021 (0.025) 0.060 (0.147) -0.111 (0.138) -0.150 (0.121) Yes 26 0.68 1 CE OLS (3) 0.109 (0.072) -0.001 (0.027) -0.175 (0.175) 0.043 (0.159) 0.042 (0.127) Yes 29 0.33 Log population density in: 1500 CE 1000 CE 1 CE OLS (4) 1.337** (0.594) -0.429 (1.237) 0.584*** (0.159) (0.110) 0.050 -2.140** (0.463) (0.801) 1.855** (0.820) OLS (5) Yes 31 0.88 0.832** (0.363) 0.364*** -0.237 (0.751) 1.326** (0.615) Yes 26 0.95 OLS (6) 1.006** (0.481) 0.681** (0.255) -2.163** (0.979) 0.118 (0.883) 0.228 (0.919) Yes 29 0.89 Why do these results lend support to the Malthusian hypothesis? Do they prove that the Malthusian model is correct? Provide an example of a source of bias in these regressions, and explain if the bias is likely upward or downward.
3 Malthusian Model in the data This question relates to the following regression table taken from Ashref and Galor (2011). Standard errors are in parenthesis, and stars denote the level of statistical significance of the coefficients. Dependent variable is: Log years since Neolithic transition Log land productivity Log absolute latitude Mean distance to nearest coast or river Percentage of land within 100 km of coast or river Continent dummies Observations R² Log income per capita in: 1000 CE 1500 CE OLS (1) 0.159 (0.136) 0.041 (0.025) -0.041 (0.073) 0.215 (0.198) 0.124 (0.145) Yes 31 0.66 OLS (2) 0.073 (0.045) -0.021 (0.025) 0.060 (0.147) -0.111 (0.138) -0.150 (0.121) Yes 26 0.68 1 CE OLS (3) 0.109 (0.072) -0.001 (0.027) -0.175 (0.175) 0.043 (0.159) 0.042 (0.127) Yes 29 0.33 Log population density in: 1500 CE 1000 CE 1 CE OLS (4) 1.337** (0.594) -0.429 (1.237) 0.584*** (0.159) (0.110) 0.050 -2.140** (0.463) (0.801) 1.855** (0.820) OLS (5) Yes 31 0.88 0.832** (0.363) 0.364*** -0.237 (0.751) 1.326** (0.615) Yes 26 0.95 OLS (6) 1.006** (0.481) 0.681** (0.255) -2.163** (0.979) 0.118 (0.883) 0.228 (0.919) Yes 29 0.89 Why do these results lend support to the Malthusian hypothesis? Do they prove that the Malthusian model is correct? Provide an example of a source of bias in these regressions, and explain if the bias is likely upward or downward.
Chapter1: Financial Statements And Business Decisions
Section: Chapter Questions
Problem 1Q
Related questions
Question
Transcribed Image Text:3 Malthusian Model in the data
This question relates to the following regression table taken from Ashref and Galor (2011). Standard
errors are in parenthesis, and stars denote the level of statistical significance of the coefficients.
Dependent variable is:
Log years since Neolithic
transition
Log land productivity
Log absolute latitude
Mean distance to nearest
coast or river
Percentage of land within
100 km of coast or river
Continent dummies
Observations
R²
Log income per capita in:
1000 CE
1500 CE
OLS
(1)
0.159
(0.136)
0.041
(0.025)
-0.041
(0.073)
0.215
(0.198)
0.124
(0.145)
Yes
31
0.66
OLS
(2)
0.073
(0.045)
-0.021
(0.025)
0.060
(0.147)
-0.111
(0.138)
-0.150
(0.121)
Yes
26
0.68
1 CE
OLS
(3)
0.109
(0.072)
-0.001
(0.027)
-0.175
(0.175)
0.043
(0.159)
0.042
(0.127)
Yes
29
0.33
Log population density in:
1500 CE 1000 CE
1 CE
OLS
(4)
1.337**
(0.594)
-0.429
(1.237)
0.584***
(0.159) (0.110)
0.050
-2.140**
(0.463)
(0.801)
1.855**
(0.820)
OLS
(5)
Yes
31
0.88
0.832**
(0.363)
0.364***
-0.237
(0.751)
1.326**
(0.615)
Yes
26
0.95
OLS
(6)
1.006**
(0.481)
0.681**
(0.255)
-2.163**
(0.979)
0.118
(0.883)
0.228
(0.919)
Yes
29
0.89
Why do these results lend support to the Malthusian hypothesis? Do they prove that the
Malthusian model is correct?
Provide an example of a source of bias in these regressions, and explain if the bias is likely
upward or downward.
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