E-mail: bishopobey@yahoo.com ABSTRACT This paper investigates the effects of banking sector reforms on economic growth of Nigeria over the period 1986-2010. The study adopts multiple regression analysis of ordinary least square (OLS) and descriptive analysis in establishing the relationship between gross domestic products that proxy economic growth and interest rate‚ exchange rate‚ cash reserve ratio‚ total asset and loan and advances. The study shows that total asset
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Table 1 showed the empirical results of microfinance and poverty reduction through the Tobit regression method of analysis. For this study to evaluate the influence of microfinance on the poverty reduction‚ Tobit regression model was regressed on the poverty reduction‚ on the key variables in this study. These include micro-credit‚ age‚ household size‚ qualification‚ nature of business‚ duration of membership and village type. In this model‚ poverty reduction is a dummy and is considered as the dependent
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Tiffany Camp ECO-250 Volker Grzimek Regression Analysis of Work Hours in Relation to GPA This research investigated the affects of working extra hours in a labor position on students’ GPAs each semester at Berea College. It was my belief that students who worked more hours were more likely to have lower GPAs due to their studying abilities and opportunities being compromised as a result of working too long (a negative correlation or trend between GPAs and hours worked each week). For
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Introduction…………………………………………….. 4 4 1 v vii 2.2 Data and Methodology………………………………….. 5 2.3 Unconditional Poverty Profile: Cross Tabulations……… 6 2.4 Conditional Poverty Profile: Marginal Effects………….. 14 2.5 Conclusion………………………………………………. 24 3. EVALUATING THE IMPACT OF MICROFINANCE ON SAVINGS AND INCOME: QUASI-EXPERIMENTAL APPROACH USING PROPENSITY SCORE MATCHING…… 34 3.1 Introduction………………………………………………. 34 3.2 Microfinance Institutions and Impact Studies……………. 37 3.3 Econometric Methodology and Data……………………... 53 3.4 Results……………………………………………………
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Data Analysis and Presentation POLS 2312- State and Local Government 27 Jan 2015 Data Analysis Has the average median income for Texas increased or decreased from 20102011 to 2012-2013? The average median income for Texas shows it has increased from 2010-2011 to 20122013. By what percentage did Texas’ average median income increase or decrease from 2010-2011 to 2012-2013? According to the information obtained from the Census Bureau‚ the average Texas median income increased from
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DCF analysis Multiples analysis is simple to understand and apply. The inputs for the multiple are publicly available‚ though are vulnerable to accounting manipulation. Also‚ it is difficult to obtain a truly comparable large sample of firms. Multiples analysis is backward-looking‚ reliant on historical/current data to obtain multiples. It reflects relative value rather than the intrinsic value which DCF valuation produces.
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Stephen Sewell MLB Advanced Media Case 1. Major League Baseball has been an industry leader in the digital space for athletic entertainment‚ thanks to the launch of Baseball Advanced Media (BAM) in 2009. Once the organization took off and grew‚ it began branching out and offering its content in a variety of channels and platforms. Careful consideration had been given on each of these platforms‚ but the organization considered itself to be a risk-taker and a first-mover for its industry.
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Alan Shawn Feinstein Graduate School 321 Harborside Boulevard DATA ANALYSIS PROJECT THE RELATIONSHIP BETWEEN CARBON DIOXIDE AND ANNUAL MEAN TEMPERATURE IN THE U.S. Date: 05/10/2013 I Background There is one of the most sensitive global climate issues for years‚ which is global warming. In general‚ we know that the origin of global warming is the emission of Carbon Dioxide. It was verified that the relationship between Carbon Dioxide and temperature: when there is more Carbon Dioxide
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Chap 13 44 1.4 100 1.3 110 1.3 110 0.8 85 1.2 105 1.2 105 1.1 120 0.9 75 1.4 80 1.1 70 1.0 105 1.1 95 A sample of 12 homes sold last week in St. Paul‚ Minnesota‚ is selected. Can we conclude that‚ as the size of the home (reported below in thousands of square feet) increases‚ the selling price (reported in $ thousands) also increases? * Compute the coefficient of correlation. * = [12(1344) – (13.8)(1160)]/12(16.26) – (13.8)2][12(114850)
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Interpretation and Analysis of Data In Trinidad chocolate is a very popular snack. Charles chocolate is Trinidad and Tobago’s local chocolate brand and it falls under the chocolate industry. At ASJA Girl’s College San Fernando a survey was conducted to analyze the factors that affect the demand for Charles chocolate. In the survey conducted 20 questionnaires were given out to students; five questionnaires were given to random students within the various age groups 11 to 13 years‚ 14 to 15 years
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