Refer to the table below: Year 1950 1960 1970 1980 1990 2000 2010 2020 Participation Rates (Age 16 and Older) Men 86.4 83.3 79.7 77.4 76.4 74.7 71.2 69.2 Women 33.9 37.7 43.3 51.5 57.5 60.0 58.6 57.4 Instructions: Round your responses to one decimal place. If you are entering any negative numbers be sure to include a negative sign (-) in front of those numbers. Between 1980 and 2020, by how many percentage points did the labor force participation rate of a. men change? b. women change?
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- What is difference between cohort analysis and cluster analysis. With exampleIn 2017-18, the Pakistan Bureau of Statistics announced that of all adult Pakistanis, 59,786,200 were employed, 3,613,800 were unemployed, and 58,800,000 were not in the labor force. Use this information to calculate the adult population.The following is a report from a BLS survey taker: “There were 90 people in the houses I visited. 20 of them were children under the age of 16, 25 people had full-time jobs, and 10 had part-time jobs. There were 10 retirees, 5 full-time homemakers, 9 full-time students over age 16, and 3 people who were disabled and cannot work. The remaining people did not have jobs, but all said they would like one. Five of these people had not looked actively for work for three months, however.” Find the labor force, the working-age population, the number of employed workers, and the number of unemployed workers.Instructions: Enter your responses as whole numbers.Labor force: peopleWorking-age population: peopleNumber of employed workers: peopleNumber of unemployed workers: people
- The following is a report from a BLS survey taker: “There were 70 people in the houses I visited. 12 of them were children under the age of 16, 25 people had full-time jobs, and 6 had part-time jobs. There were 10 retirees, 5 full-time homemakers, 5 full-time students over age 16, and 2 people who were disabled and cannot work. The remaining people did not have jobs, but all said they would like one. One of these people had not looked actively for work for three months, however.” Find the labor force, the working-age population, the number of employed workers, and the number of unemployed workers.Instructions: Enter your responses as whole numbers.Labor force: peopleWorking-age population: peopleNumber of employed workers: peopleNumber of unemployed workers: peopleThe following is a report from a BLS survey taker: There were 90 people in the houses I visited. 20 of them were children under the age of 16, 25 people had full-time jobs, and 10 had part-time jobs. There were 10 retirees, 5 full-time homemakers, 9 full-time students over age 16, and 3 people who were disabled and cannot work. The remaining people did not have jobs, but all said they would like one. 5 of these people had not looked actively for work for three months, however. Find the labor force, the unemployment rate, and the participation rate implied by the survey taker’s report.Labor force: people Instructions: Enter your responses rounded to two decimal places. Unemployment rate: %Participation rate: %Plz give a detailed answer
- Average Earnings by Innnigrant Cohort 2010 2010 2015 2015 Cohort Label YSM Earnings (S) YSM Earnings ($) Native-born Native N/A 73,915 N/A 80,245 1955-1959 1M5559 52.5 97,361 57.5 97,212 1960-1964 1M6064 47.5 91,822 52.5 93,156 1965-1969 1M6569 42.5 88,610 47.5 106,552 1970-1974 1M7074 37.5 88,392 42.5 93,163 1975-1979 1M7579 32.5 85,919 37.5 97,756 1980-1984 1M8084 27.5 79,911 32.5 81,500 1985-1989 1M8589 22.5 70,143 27.5 78,100 1990-1994 1M9094 17.5 64,342 22.5 69,033 1995-1999 1M9599 12.5 68,821 17.5 73,976 2000-2004 IM0004 7.5 66,971 12.5 74,907 2005-2009 IM0509 2.5 58,623 7.5 67,780 2010-2014 IM1014 2.5 60,596 NOTE: "YSM" refers to the average years since migration. This is a table of average earnings for various immigration cohorts as well as native-born Canadians for 2010 and 2015. These values are expressed in 2015 real dollars. A) Calculate the cross-sectional entry effect for the IM0509 cohort. Interpret what the number…Cumulative % of Population 0 20 40 60 80 100 Cumulative % of Income, United States, 2010 0 5 15 29 49 100 Cumulative % of Income, Argentina, 2010 0 4 13 28 50 100 Report your answers to two decimal places. According to these data, the Gini coefficient for the United States in 2010 is _______ The Gini coefficient for Argentina in 2010 is ______ These data indicate that in 2010, income is (blank) in the United States compared to Argentina.Suppose a researcher is using a panel data set on n = 10,000 workers over T = 20 years (from 2000 through 2019) that contains the workers’ earnings, sex, education, and age. The researcher is interested in the effect of education on earnings. Give some examples of unobserved person-specific variables that are correlated with both education and earnings. Can you think of examples of time-specific variables that might be correlated with education and earnings? How would you control for these person-specific and time-specific effects in a panel data regression?