Can you answer e and its bullet points.

RealGDP Employment Realcapitalstock SOURCE: Penn World Table 10 - https://www.rug.nl/ggdc/productivity/put/ Country Year million $ millions millions of $ Real GDP at constant 2017 national prices (in mil. 2017US$) Brazi 1979 862817.0625 256.8391113 3714750.25 Employment: Number of persons engaged (in millions) Brazil 1980 920934.8125 264.706665 3886239.5 Capital stock at constant 2017 national prices (in mil. 2017US$) Brazil 1981 976248. 125 272. 151123 4048154 Brazil 1982 1010179.875 279.7120972 4221987.5 Brazil 1983 1083810.75 287.361969 4412323 Brazil 1984 1125220.375 295.0686035 4595774.5 Brazi 1985 1184342.75 302.795166 4784622.5 Brazil 1986 1240913.75 311. 1026001 5000251.5 Brazil 1987 1290120.375 319.5054932 5249094.5 Brazil 1988 1414330.375 328.0375977 5495053 Brazi 1989 1498445.5 336.6645508 5766595.5 Brazil 1990 1581361. 125 345.3869934 6105189.5 Brazil 1991 1598073.625 354. 1060181 6371149 Brazil 1992 1685686.25 363.0844116 6677011 Braz 1993 1765769.375 372.436554 6953852 Brazil 1994 1883350.75 377.710968 7246440.5 Brazil 1995 2026005. 125 381. 6901245 7594811.5 Braz 1996 2178958.75 385.872345 7950137.5 Brazil 1997 2267202.5 390.4251404 8341610 Brazil 1998 2407415.75 395.1845703 8778706 Brazil 1999 2620370 400.287323 9349454 Brazil 2000 2721018 409.2485962 9851579 Brazil 2001 2852279.25 419.7620239 10519205 Braz 2002 2960779 430.7332764 11129446 Brazil 1003 3193507.75 442.3812256 11775585 Brazil 200 3446527.25 454.5449829 12533966 Brazil 2005 3719610.25 457.6380615 13437015 Brazil 2006 4019438.5 457.9736633 14486343 Brazil 1007 4327360 459.0289001 15729500 Brazi 1008 4460933 460.8129272 16946774 Brazil 2009 4811646 463. 632598 18271270 Brazi 2010 5220520 467.4125061 19780460 Brazil 2011 5494143.5 472.2144775 21474090 Braz 2012 5793925 469.8310852 23179180 Brazil 2013 6163931.5 483.8543396 24719094 Brazi 2014 6620693.5 483.0845947 26274554 Brazil 2015 7150100.5 482.70047 27915780 Brazil 2016 7740434.5 482.9890137 29662402 Brazil 2017 8285657 487. 190979 31536496 Brazil 2018 8792705 491.0772095 33579996 Brazil 2019 9164505 497.6157227 35423260China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China 19?9 1930 1931 1932 1933 1934 1935 1936 193? 1933 1939 1990 1991 1992 1993 1994 1995 1996 199? 1993 1999 2000 2M1 2002 2003 2M4 2005 2006 200? 2003 2009 2010 2011 2012 2013 2014 2015 2016 201? 2013 2019 1?19669. 5 1304609. 25 13614?3. 125 203 15?0. 5 21?3120. ?5 2414311. 25 26021?5. 25 2?3041? 3003239. 25 3141322. 25 3153460. 25 3165062. ?5 3 300265. 5 3556142. 5 3920?03 . 5 4256049. 5 46563?3. 5 4990403 52?4646. 5 5305643. 5 55?231?. 5 5961353. 5 63 ?0494 6969362 ?496413 3225263. 5 9019165 9931653 109?6025 11615430 125??035 1394633? 1491?423 15414931 16561333 1??10510 133 ?3150 19131150 19635360 19339934 205?1246 46?. 5601196 434.6633533 504. 651325 529. 5593 262 543. 1?23022 55?.9?21069 5?3. 3 230029 53?. 2223394 599.649?192 61?. ?4646 641.0503423 660.4?65015 6?5. 5034?\") 632. ?409663 633. 5?91626 693.913 ?5?3 699. 2023926 ?05.63 23125 ?13. 3 ?64033 ?21. 1416016 ?23. ?011103 ?3 5. ?23 1445 ?42.6?59644 ?43.6954346 ?53. 550415 ?53.6143133 ?63. 2120361 ?6?. 2093506 ??1.0333911 ??4.4563 599 ???.62?2533 ?31.03 55225 ?34. ?13 31?9 ?33. 292346? ?91.642?612 ?94.6456299 ?9?. 3 352661 ?93. 5303345 ?99. 1360962 ?99. 3066406 ?93.30??393 5034995. 5 536333 ?. 5 563019? 6061243 630?493. 5 6595202 6912905. 5 ?335940. 5 ?303 220. 5 3099619 330??42 340?349 35430?? 3?34302 95333 52 10230663 11214639 12194231 12352?04 134910?5 145623 59 15?60559 1?206?94 139?5916 20633403 22941253 254?2320 23093400 302911310 32363452 36355464 42331?03 46622332 50?43640 55369636 60303003 64?9?304 63?23456 ?2?63356 ?6639203 31?26344 What drives GDP growth in China and Brazil? How do they compare to each other? Data on real GDP, capital, employment, are in the country data file, available on the course website. Assume that payments to labor make up two-thirds of GDP in both countries, i.e., 1 - a = 2/3. a. How has GDP per worker evolved in the two countries? Turn in one well-labeled graph that plots GDP per worker (1980-2019) for both countries. Use a data software, such as Excel, to make your graph. Do not turn in hand drawn graphs. b. Compute TFP for each year. Create a TFP index for each country by dividing the value of TFP in each year by the value of TFP in 1980 and multiplying by 100. Turn in one well-labeled graph showing (1980-2019) the two TFP indices c. Compute the marginal product of capital (i.e. the MPK) for each year. Turn in one well-labeled graph showing (1980-2019) the MPKs for each country. d. Separate each country's growth experience into two periods: 1980-1995 and 1995-2019. De- compose the growth in output per worker into contributions from TFP, capital per worker, and these two periods. Report your findings in the tables below. Please report the annual growth rate for each period. China YL aK/L TFP 1980-1995 1995-2019 Brazil Y/L aK/L TFP 1980-1995 1995-2019 e. Prepare a short summary of growth in China and Brazil, highlighting the similarities and differ- ences between the two countries (including any differences that arise in the two periods). In your report, please address several questions . Which of the growth accounting elements are most important?a How have returns on capital evolved over this time period? How do the evolution of returns relate to the accounting exercise? a What are possible reasons for the evolution of productivity in these two countries. In doing so, you should explore the World Bank's Doing Business reports and Governance Indicators