a. Compute E(Y). b. The unemployment rate is the fraction of the labor force that is unemployed. Show that the unemployment rate is given by 1-E(Y). c. Calculate E(YX-1) and E(YX-0).
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- 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…What is Lerner index? How is it calculated? What does it calculated outcome tell us?What is calculation of Herfindahl-Hirschman Index
- Assume that there are only three possible levels of education: "low", "middle" and "high". Among Argentine immigrants in the US, 50% have "low" education, 50% have "middle" education and 0 % have "high" education. Among Argentine stayers, 100% have "high" education. The Net Difference Index comparing the education of Argentine immigrants in the US to the education of Argentine stayers is equal to: a. -1 b. -0.5 c. 0 d. 0.5 e. 1Education: Does College Pay Off? It is costly in both time and money to go to college.Does it pay off? According to the Bureau of the Census, the answer is yes. The averageannual income (in thousands of dollars) of a household headed by a person with thestated education level is as follows: 24.3 if ninth grade is the highest level achieved.41.4 forhigh school graduates. 59.7 for those holding associate degrees, 82.7 for thosewith bachelor's degrees, 100.8 for those with master’s degrees, and 121.6 for thosewith doctoral degrees. Make a bar graph showing household income for eacheducation levelquintile cumulativeshare of households a cumulative share of income b cumulative share of income poorest 10.5 2.5 2nd 13.2 6.8 middle 21.6 13.9 4th 26.4 24.2 richest 28.3 52.6
- Please answer ASAP. explain briefly how you got the answer. Will rate positively. :)Distribution of Income in Percentage of the United States Households 1985 2020 3.0 8.1 14.0 22.6 52.2 Lowest 20% Second 20% Third 20% Fourth 20% Highest 20% 4.0 9.7 16.3 24.0 46.6 Which statement best describes the Multiple Choice in the table? Between 1985 and 2020, the lowest and the highest quintiles gained larger shares of total income at the expense of the three middle quintiles. Between 1985 and 2020, each quintile gained a larger share of total income because the level of total income increased greatly. Between 1985 and 2020, the highest 20 percent of households gained a larger share of total income at the expense of the lowest 80 percent. Between 1985 and 2020, the lowest 40 percent of households gained a larger share of total income at the expense of the highest 40 percent.What is the relationship between NCO and NX
- Compute the R² using the following information. What does this number mean? Wage = 4.43 +0.61Edu + e n = 1089, SST = 37211.6, SSE 37211.6, SSE 19848.2 R² = = = 0.4666. 46.66% of the variation in wage can be explained by education. R² = 0.5334. 53.34% of the variation in wage can be explained by education. R² = 0.61.61% of the variation in wage can be - explained by education. R² = 0.3043. 30.43% of the variation in wage can be explained by education.Year Month GOIL December 0.241667 2011 January 0.258333 February 0.258333 March 0.25 April 0.258333 May 0.266667 June 0.258333 July 0.258333 August 0.266667 September 0.266667 October 0.266667 November 0.258333 December 0.266667 2012 January 0.266667 February 0.266667 March 0.283333 April 0.316667 May 0.391667 June 0.408333 July 0.433333 August 0.45 September 0.458333 October 0.5 November 0.516667 December 0.516667 2013 January 0.566667 February 0.741667 March 0.866667 April 1.125 May 1.166667 June 1.041667 July 0.691667 August 0.725 September 0.75 October 0.75 November 0.775 December 0.89 2014 January 0.89 February 0.77 March 0.81 April 0.89 May 0.9…39. In this exercise we estimate the rate at which the total per- sonal income is rising in the Richmond-Petersburg, Virginia, metropolitan area. In 1999, the population of this area was 961,400, and the population was increasing at roughly 9200 people per year. The average annual income was $30,593 per capita, and this average was increasing at about $1400 per year (a little above the national average of about $1225 yearly). Use the Product Rule and these figures to estimate the rate at which total personal income was rising in the Richmond-Petersburg area in 1999. Explain the meaning of each term in the Product Rule.