# Economic Growth and Development EC 375. Chapter 1 #2, 3, 4, 5, 6, 7 (on pages 24-25) and Appendix problems A.1 and A.2 (on pages 28-29).

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1 Economic Growth and Development EC 375 Prof. Murphy Problem Set 1 Answers Chapter 1 #2, 3, 4, 5, 6, 7 (on pages 24-25) and Appendix problems A.1 and A.2 (on pages 28-29). 2. Let g be the rate of growth. The rule of 72 says that 72/ g! 9. So g! 8%. 3. Using the rule of 72, we know that GDP per capita will double every 72/g years, where g is the annual growth rate of GDP per capita. Working backwards, if we start in the year 1900 with a GDP per capita of \$1,000, to reach \$4,000 by the year 1948, GDP per capita must have doubled twice. To see this, note that after doubling once, GDP per capita would be \$2,000 in some year, and doubling again, GDP per capita would be \$4,000, exactly the GDP per capita in year Using the fact that GDP doubled twice within 48 years and assuming a constant annual growth rate, we conclude that GDP per capita doubles every 24 years. Solving for the equation, 72/g = 24, we get g, the annual growth rate, to be three percent per year. 4. Between-country inequality is the inequality associated with average incomes of different countries. Country A s average income is given by adding Alfred s Income and Doris s Income and then dividing by 2. This yields an average income of 2,500 for Country A. Similar calculations reveal that Country B s average income is 2,500. Because the average income for Country A is equal to that of Country B, there is no between-country inequality in this world. Within-country inequality is the inequality associated with incomes of people in the same country. In Country A, Alfred earns 1,000 while Doris earns 4,000, making it an income disparity of 3,000. In Country B, the income disparity is 1,000. Therefore, we see withincountry income inequality in both Country A and Country B. Because there is no betweencountry inequality, world inequality can be entirely attributed to within-country inequality. 5. We can solve for the average annual growth rate, g, by substituting the appropriate values into the equation: (Y 1900 ) (1 + g) 100 = Y Letting Y 1900 = \$1,433, Y 2000 = \$23,971, and rearranging to solve for g, we get: g = (\$23,971/\$1,433) (1/100) 1, g! Converting g into a percent, we conclude that the growth rate of income per capita in Japan over this period was approximately 2.86 percent per year. To find the income per capita of Japan 100 years from now, in 2100, we solve Letting Y 2000 = \$23,971 and g = , (Y 2000 ) (1 + g) 100 = Y (\$23,971) ( ) 100 = Y 2100,

2 2 Y 2100 = \$402, That is, if Japan grew at the average growth rate of 2.86 percent per year, we would find the income per capita of Japan in 2100 to be about \$402, In order to calculate the year in which income per capita in the United States was equal to income per capita in Sri Lanka, we need to find t, the number of years that passed between the year 2005 and the year U.S. income per capita equaled that of 2005 Sri Lanka income per capita. Equating income per capita of Sri Lanka in year 2005 to income per capita of the United States in year 2005 t, we now write an equation for the United States as (Y U.S., 2005 t ) (1 + g) t = Y U.S., Since Y U.S., 2005 t = Y Sri Lanka, 2005 = \$4,650, Y U.S., 2005 = \$36,806, and g = 0.019, we then substitute in these values and solve for t. (\$4,650) ( ) t = \$36,806. ( ) t = (\$36,806/\$4,650). One can solve for t by simply trying out different values on a calculator. Alternatively, taking the natural log of both sides, and noting that ln(x y ) = y ln(x), we get t ln( ) = ln(\$36,806/\$4,650) t = That is, years ago, the income per capita of the United States equaled that of Sri Lanka s income in the year This year was roughly 2005 t, i.e., the year In order to calculate the year in which income per capita in China will overtake the income per capita in the United States, we first need to find t, the number of years it will take for the income per capita in both countries to be equal. That is, (Y U.S., 2005 ) ( ) t = (Y China, 2005 ) ( ) t. Since Y U.S., 2005 = \$36,806, Y China, 2005 = \$5,955, we then substitute in these values and solve for t. ( / ) t = (\$36,806/\$5,955). We can solve for t by trying out different values on a calculator. Alternatively, taking the Natural Log of both sides, and noting that ln(x y ) = y ln(x), we get t ln(1.05) = ln(\$36,806/\$5,955) t = That is, in years, assuming they grow at the current growth rates, the income per capita of China will surpass that of the United States. This year will roughly be t, i.e., the year 2042.

4 4 Chapter 2 # 1, 2, 3, 4, 7, 8 (on page 46). 1. Proximate causes are causes that directly affect the variable of interest. Low levels of physical and human capital, technology, and efficiency are all examples of a proximate cause of low GDP per capita. 2. Fundamental causes are causes that indirectly affect the variable of interest by systematically affecting one or many other causes that in turn affect the variable of interest. Possible fundamental causes may be government, culture, ethnic composition, rule of law, geography, climate, resources, and so forth. These causes affect GDP per capita by affecting the proximate causes of low GDP per capita. 3. To show different levels of factors of production, the figures must not intersect at the same level of output. To show different levels of productivity, the figures must have different slopes. In the figure below, Country 1 and Country 2 have the same level of output per worker. However, Country 1 has a higher level of factors of production than does Country 2, and Country 1 has a lower level of productivity than does Country In the long run, the two countries would be expected to have the same levels (and thus growth rates) of income, because they have the same fundamentals. In the short run Country B would be expected to have faster growth because the two countries are moving toward having similar income levels, but Country B is starting out with a lower level. 7. a. Although the majority of right-wing voters may live longer, the inference that being a political conservative is good for you is incorrect because correlation does not imply causation. A majority of right-wing voters may live longer, not because they are conservative but rather, because they lead healthier lifestyles that right-wing policies promote. Thus, we have an omitted third variable affecting both the choice of party affiliation and the length of life. b. Although people in hospitals are generally less healthy than those outside hospitals, the inference that one should avoid hospitals is incorrect because of reverse causation. That is, a majority of people go to the hospital because they are unhealthy in contrast to the reverse inference, whereby going to the hospital makes one unhealthy.

5 5 8. a. Positive Correlation. It is reasonable to assume that higher (lower) GDP per capita increases (decreases) available expenditure for printing books. Moreover, it is also reasonable to assume that a greater (smaller) number of books printed per capita increases (decreases) the level of education within a country, translating into higher (lower) levels of GDP per capita. b. Negative Correlation. The higher GDP is per capita, the more likely it is that basic nutrition needs of the population will be met, and the smaller the number of people suffering from malnutrition, the more likely it is that there will be a healthier labor force to produce higher levels of GDP per capita. Hence, higher GDP per capita should be correlated with lower fractions of people suffering from malnutrition and vice versa. c. No Correlation or Positive Correlation. There are two things to consider. First, does eyesight progressively deteriorate with age? Second, does the level of GDP positively affect both one s ability to diagnose and correct vision problems and one s life expectancy through access to better nutrition, health care, and so on? If one does not assume the above to be true, then there should be no correlation between life expectancy and the population that wears eyeglasses. On the other hand, if one does assume the above to be true, then one should see high life expectancy figures when one sees a high fraction of people wearing eyeglasses, for the simple reason that there is a large elderly population with poor vision able to afford glasses. d. No Correlation. There is no obvious relationship between the number of letters in a country s name and the number of automobiles per capita.

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