controversies surround various measures of employment activity. One is that unemployment rates will increase as labor force participation rates increase. Another is that as women entered the work force they replaced men. That is‚ as the Female Labor Force Participation Rate increased‚ the Male Labor Force Participation Rate decreased. Go to http://research.stlouisfed.org/fred2/ and retrieve: 1. Civilian Labor Force Participation Rate (CIVPART)‚ Percent‚ Quarterly‚ Seasonally Adjusted‚ since 1949 2.
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I met with Talon Peterson and administered 2 different reading test/tasks. First he completed a post test of the Renaissance Star test. This test is vocabulary and comprehension so the results are a fairly good indicator of overall reading ability. What Star won’t measure is fluency which is a major factor in determining a student’s ability to keep pace with their peers on reading and writing tasks. Results are reported in grade year and month. His scores were as follows: Baseline Testing:
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Unemployment Analysis Unemployment occurs when a person is not working but is actively looking for work. Economists have essentially identified four different types of unemployment which are frictional unemployment; structural unemployment; seasonal unemployment; cyclical unemployment. Frictional unemployment is best described as a highly skilled worker that is in between jobs because they are holding out for right job that best suits their needs and skills. Frictional unemployment usually occurs
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Interest Rate Forecasting using Regression Analysis Introduction Forecast of interest rates can be done in many different ways‚ qualitative (surveys‚ opinion polls) as well as quantitative (reduced form and structural approaches)* Example of methods in quantitative approaches - Regression method - Univariate method (e.g. ARIMA) - Vector autogressive models (VAR) - Single equation approaches - Structural systems of simultaneous equations This paper will focus on the structural
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lower their suicide rates. Countries like China‚ Japan‚ Singapore‚ Australia & Pakistan have joined the project‚ Strategies to Prevent Suicide (STOPS)‚ in order to lessen their increasing number of suicide. However‚ in trying to prevent the increase in number of suicide deaths and attempts‚ one must know what the leading causes of it are. Suicide rates change over time‚ and the factors influencing them remain poorly understood. Economic factors‚ in particular unemployment & income growth‚ have
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Multiple Regression Analysis For hypotheses testing of this study‚ multiple regression analysis was conducted. Some assumptions of the relationship between dependent and independent variables need to be met for performing multiple regression analysis like‚ normality‚ linearity‚ homoscedasticity and multicollinearity (Hair et al.‚ 1998). As mentioned earlier‚ the required assumptions have already been met and multiple regression analysis was appropriate. Usually‚ multiple regression analyses
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ARTICLE ABOUT UNEMPLOYMENT RATES IN MALAYSIA KUALA LUMPUR‚ May 26- The unemployment rate in the country for March 2014 was at 3.0 per cent‚ comparatively lower from 3.3 per cent in March last year ‚ the Statistics Department said. When compared with the previous month‚ the rate was down 0.2 percentage point from 3.2per cent in February 2014. In a statement here today ‚the department also said the labor force participation rate decreased in March 2014 to 66.9 per cent from 67.4 per cent in the
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High unemployment rate hits Eurozone Executive summary This report is going to evaluate the financial situation which happened in the Eurozone since the year 2008. As we all know‚ the Eurozone suffers the financial crisis and debt crisis in the 2008 and 2010 respectively. This two events lead the economic situation in Eurozone falls into the recessionary status. As the economy continues to fall down‚ the countries in Eurozone is plagued by many problems. And the unemployment issue is a main
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MULTIPLE REGRESSION After completing this chapter‚ you should be able to: understand model building using multiple regression analysis apply multiple regression analysis to business decision-making situations analyze and interpret the computer output for a multiple regression model test the significance of the independent variables in a multiple regression model use variable transformations to model nonlinear relationships recognize potential problems in multiple
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union membership. We will use the technique of linear regression and correlation. Regression analysis in this case should predict the value of the dependent variable (annual wages)‚ using independent variables (gender‚ occupation‚ industry‚ years of education‚ race‚ and years of work experience‚ marital status‚ and union membership). Regression Analysis Based on our initial findings from MegaStat‚ we built the following model for regression (coefficient factors are rounded to the nearest hundredth):
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