a . The table below provides the latest March 2022 seasonally adjusted labour market data for Australia and Tasmania, but some information is missing E UE LF NILF POP UR PR Australia 13,390 13,941 20,990 66.4% Tasmania 262 12 176 4.5% E = employed (000s) LF = labour force (000s) NILF = not in the labour UR = unemployment rate UE = unemployed (000s) POP = population (000s) force (000s) PR = participation rate Source: Australian Bureau of Statistics (ABS), 2022, 6202.0 Labour Force, Australia, "Table 1. Labour force status by Sex, Australia - Trend, Seasonally adjusted and Original" and "Table 9. Labour force status by Sex, Tasmania - Trend, Seasonally adjusted and Original", ABS, Canberra. i. Complete the table by filling in the figures that are missing. (10 marks) ii. Provide three reasons why Tasmania's participation rate is lower than Australia's. 15 marks) iii. Is the difference in Tasmania and Australia's unemployment rate likely to be from differences in frictional, structural or cyclical unemployment? Explain why. (10 marks) b. The table below provides seasonally adjusted labour market data for Tasmania in April and May 2020. E UE LF NILF POP UR PR Apr-2020 249.69 16.40 266.09 179.76 445.85 6.2% 59.7% May- 2020 239.86 16.38 256.24 189.87 446.11 6.4% 57.4% E = employed (000s) LF = labour force (000s) NILF = not in the UR = unemployment rate (%) UE = unemployed (000s) POP = population (000s labour force (000s) PR = participation rate (%) Source: Australian Bureau of Statistics (ABS), 2022, ABS6202.0 Labour Force, Australia, "Table 1. Labour force status by Sex, Australia - Trend, Seasonally adjusted and Original" and "Table 9. Labour force status by Sex, Tasmania - Trend, Seasonally adjusted and Original", ABS, Canberra. Explain how the unemployment rate rose in Tasmania from April to March even though the number of unemployed people fell. (15 marks) C. What is frictional unemployment and how has technology allowed it to fall. What is structural unemployment and when was it largest in Australia? (10 marks)