Here are some more facts: Participation Capital per (L/Pop) GDP per capita (Y/Pop) 4,148 26,370 59,245 2,554 21,249 48,896 Region Year Worker (K/L) 34,702 147,888 664,158 15,303 110,227 370,325 2,786 8,183 Hong Kong 1960 37% 1990 48% 2019 52% Taiwan 1960 32% 1990 43% 2019 49% China 1960 996 45% 2,478 13,988 1990 56% 2019 56% 12,7120 Y/Pop is per capita GDP measured in 2017 US dollars PPP-adjusted. Participation is the fraction of the population in the labor force, and K/L is capital per worker measured in 2017 US dollars PPP-adjusted. Data are from the Penn World Tables 10.

Economics: Private and Public Choice (MindTap Course List)
16th Edition
ISBN:9781305506725
Author:James D. Gwartney, Richard L. Stroup, Russell S. Sobel, David A. Macpherson
Publisher:James D. Gwartney, Richard L. Stroup, Russell S. Sobel, David A. Macpherson
Chapter7: Taking The Nation's Economic Pulse
Section: Chapter Questions
Problem 1CQ
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Here are some more facts:
GDP per
capita
(Y/Pop)
4,148
26,370
Participation Capital per
(L/Pop)
Region
Year
Worker
(K/L)
34,702
147,888
664,158
15,303
110,227
370,325
2,786
8,183
12,7120
Hong Kong
37%
48%
1960
1990
2019
59,245
2,554
21,249
48,896
52%
1960
1990
2019
1960
Taiwan
32%
43%
49%
China
996
45%
1990
2,478
13,988
56%
2019
56%
Y/Pop is per capita GDP measured in 2017 US dollars PPP-adjusted. Participation is the fraction of the
population in the labor force, and K/L is capital per worker measured in 2017 US dollars PPP-adjusted.
Data are from the Penn World Tables 10.
Step 1: Use a Cobb-Douglas production function, Y = A K'/3 L2/3, and our growth
accounting methodology to allocate annual average growth in per capita output to
changes in average labor-force participation, TEP, and capital per worker, for each
region for the full sample, 1960-2019. Briefly discuss which factor has been most
important for each country.
[Hint: Remember that the production function scales nicely, Y/L=A(K/L)3, so you can
calculate TFP from the data on Y/L and K/L. One more hint: Remember that
Y/L=(Y/Pop)/(L/Pop), so you can also calculate Y/L from the data you're given.]
Step 2: Repeat Step 1 for two subsamples: 1960-1990, and 1990-2017. How does
the more recent period differ from the earlier period for each region?
Step 3: Use whatever resources you think appropriate to uncover differences in
legal and political institutions,
• education,
• government policies (both microeconomic such as regulation, and
macroeconomic such as taxation, international trade, and inflation),
and
• business practices,
across the three regions. Comment on how similarities and differences along these
dimensions relate to the relative economic performance we have observed. Looking
forward, which region do you believe is best positioned for better economic
performance over the next decade? [Try to be concise answering this part. A short
paragraph or two on each should suffice.]
Transcribed Image Text:Here are some more facts: GDP per capita (Y/Pop) 4,148 26,370 Participation Capital per (L/Pop) Region Year Worker (K/L) 34,702 147,888 664,158 15,303 110,227 370,325 2,786 8,183 12,7120 Hong Kong 37% 48% 1960 1990 2019 59,245 2,554 21,249 48,896 52% 1960 1990 2019 1960 Taiwan 32% 43% 49% China 996 45% 1990 2,478 13,988 56% 2019 56% Y/Pop is per capita GDP measured in 2017 US dollars PPP-adjusted. Participation is the fraction of the population in the labor force, and K/L is capital per worker measured in 2017 US dollars PPP-adjusted. Data are from the Penn World Tables 10. Step 1: Use a Cobb-Douglas production function, Y = A K'/3 L2/3, and our growth accounting methodology to allocate annual average growth in per capita output to changes in average labor-force participation, TEP, and capital per worker, for each region for the full sample, 1960-2019. Briefly discuss which factor has been most important for each country. [Hint: Remember that the production function scales nicely, Y/L=A(K/L)3, so you can calculate TFP from the data on Y/L and K/L. One more hint: Remember that Y/L=(Y/Pop)/(L/Pop), so you can also calculate Y/L from the data you're given.] Step 2: Repeat Step 1 for two subsamples: 1960-1990, and 1990-2017. How does the more recent period differ from the earlier period for each region? Step 3: Use whatever resources you think appropriate to uncover differences in legal and political institutions, • education, • government policies (both microeconomic such as regulation, and macroeconomic such as taxation, international trade, and inflation), and • business practices, across the three regions. Comment on how similarities and differences along these dimensions relate to the relative economic performance we have observed. Looking forward, which region do you believe is best positioned for better economic performance over the next decade? [Try to be concise answering this part. A short paragraph or two on each should suffice.]
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