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Answer the following questions according to the graph attached for each question: 1. Discuss the results by answering the following questions: a) Are the four

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Answer the following questions according to the graph attached for each question:

1. Discuss the results by answering the following questions:

a) Are the four countries converging to each other?

b) Using countries' characteristics such as the level of education, life expectancy, economic freedom, etc., try to justify why some are converging and why some are not. You can use that data files from the module on Growth and Development or get the information from a reliable internet source (like the World Bank).

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4. Compute the average annual growth rate between 1970 and 2017 for all four countries. Then, produce a scatter plot with the 1970 real per capita GDP's expressed in logs on the Average Annual Growth Rate X-axis and the average growth rates on the y-axis (you should have four points). Discuss the results by answering the following questions: Are the four countries converging to each other? Using countries' characteristics such as the level of education, life expectancy, economic freedom, etc., try to justify why some are converging and why some are not. You can use that data les om the module on Growth and Development or get the information om a reliable internet source (like the World Bank Average Growth Rates vs Real Per Capita GDPs from 1970 - 2017 0 2 4 6 8 10 12 Real per Capita GDPS (Log - scale} 0 Gambia 0 Kenya Luxembourg Oman Frequency Frequency 25 30 35 8 6 45 15 20 25 30 40 45 35 [714.48, 4342.538] [523.05, 1923.7264] (4342.538, 7970.596] (1923.7264, 3324.4028] countries? (7970.596, 11598.654] (3324.4028, 4725.0792] (11598.654, 15226.712] (4725.0792, 6125.7556] (15226.712, 18854.77] (6125.7556, 7526.432] (18854.77, 22482.828] (7526.432, 8927.1084] Real per (22482.828, 26110.886] (8927.1084, 10327.7848] (26110.886, 29738.944] (10327.7848,.. (29738.944, 33367.002] (11728.4612,... (33367.002, 36995.06] (13129.1376, 14529.814] a GDP (thousand (36995.06, 40623.118] (14529.814, 15930.4904] (40623.118, 44251.176] Distribution of Real per capita GDP across 152 countries in 2012 (15930.4904,-. Distribution of Real per capita GDP across 152 countries in 1973 (44251.176, 47879.234] Real per capita GDP (thousands of international dollars of 2011) (17331.1668,. (47879.234, 51507.292] (18731.8432,.. (51507.292, 55135.35] (20132.5196, 21533.196] 2011 (the choice of units is to make the x-axis labels more readable). Create two 5. For this question, you have to compare the distribution of real per capita GDP across all (55135.35, 58763.408] (21533.196, 22933.8724] histograms (with the option breaks=25), one for each year and interpret what you see. Do 152 countries in the two assigned years expressed in thousands of international dollars of ational dollars you see a difference in terms of inequality? Do you see a change in the proportion of poor (58763.408, 62391.466] (22933.8724,.. (62391.466, 66019.524] (24334.5488,.. of 2011) (66019.524, 69647.582] (25735.2252,.. (69647.582, 73275.64] (27135.9016, 28536.578] (73275.64, 76903.698] (28536.578, 29937.2544] (76903.698, 80531.756] (29937.2544,.. (80531.756, 84159.814] (31337.9308,... (84159.814, 87787.872] (32738.6072,. (87787.872, 91415.93] (34139.2836, 35539.96]Frequency Frequency 7 ONDOO 12 14 10 [6.57155500... logs. [6.25967706... (6.76561980... (6.42842649... (6.95968460... (6.59717593... (7.15374940... (6.76592537 ... (7.34781420... (6.93467480... (7.54187901... (7.10342424... (7.73594381... (7.27217368... (7.93000861... (7.44092311... (8.12407341... (7.60967255... (8.31813821... (7.77842199... (8.51220301... (7.94717142... in 1973 (Log-scale) Distribution of Real Per Capita GDP across 152 countries (8.70626781... in 2012 (Log-scale) C Distribution of Real Per Capita GDP across 152 countries (8.11592086... Real per capita (Log-scale) (8.90033261... Real per capita (Log-scale) (8.28467030.. (9.09439741... (8.45341973... 6. For this question, you have to compare the distribution of real per capita GDP across all in terms of inequality? Do you see a change in the proportion of poor countries? Also, (9.28846222,... (8.62216917 ... 152 countries in the two assigned years expressed logs. Create two histograms (with the option breaks=25), one for each year and interpret what you see. Do you see a difference explain why the histograms are different when the real per capita GDP's are expressed in (9.48252702... (8.79091861,... (9.67659182... (8.95966804... (9.87065662... (9.12841748... (10.0647214... (9.29716692,... (10.2587862... (9.46591635... (10.4528510... (9.63466579... (10.6469158... (9.80341523,... (10.8409806... (9.97216466... (11.0350454... (10.1409141,... (11.2291102.. (10.3096635

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