Tuesday, March 10, 2020

music of the middle ages essays

music of the middle ages essays Music has been a great influence in the lives of many people for many years and is constantly changing. Music has been divided into six periods: Medieval, Renaissance, Baroque, Classical, and Twentieth Century. The Medieval period was the longest and most distant period of musical history and consists of almost a millenniums worth of music. To examine the music of this period we must first look at the influences or dominating factors of medieval life. In a political sense, as well as a spiritual sense, the Roman Catholic Church was very much the focal point of a Medieval man's life. Between the collapse of control of the Roman Empire around 500 A.D. and the Renaissance in the middle 1400s, the Church remained the most continuously powerful organization in Europe. The great gothic cathedrals of the Middle Ages help demonstrate how religion had become the focus of the times. The thousands and thousands of hours of labour, the tremendous cost involved, the extraordinary and detailed craftsmanship without the use of cranes or power tools must give us an idea of the effects of religion and the power of the Church. To worship God through one's craft was the highest artistic ideal of the times. While some of the great secular classic literature of the past was well known to many, it was considered to be only a teaching tool to assist in the understanding of the Bible. Music has always been an integral part of religious celebrations throughout history, and for the Catholic Church of antiquity, it was a vital element. The music of the Catholic Church absorbed Greek, Jewish, and Syrian influences among others, through the teachings of : Pythagoras 6th 5th BCE, a Greek mathematician and a musical theorist who believed that there were perfect intervals in music and introduced the 8ve, 5th, 4th, whole tone. Pythagoras ideas gave music scientific credibility through numbers and allowed it to be introduced as on...

Sunday, February 23, 2020

PROFESSIONAL LIABILITY AND EMPLOYEE RELATIONS Essay - 4

PROFESSIONAL LIABILITY AND EMPLOYEE RELATIONS - Essay Example These contracts use the laid down legislation to develop a binding agreement, which guides the employer and employee in their final period of interaction (Pozgar, 2012). This essay looks at the issues that employers and managers should consider when drafting settlement agreements with their employees in the context of a health organization. The agreement must consider the reasons behind the termination of employees. Different reasons will affect the nature of the contract that the employer enters with the terminated employee. For example, employees who are terminated due to breach of contract cannot enter into the same contract with those who are terminated due to other factors beyond their control. Furthermore, the decision of termination is a responsibility of a qualified manager who understands the risks associated with the termination (Pozgar, 2012). Compensation is one of the issues that the termination agreement should consider. The employer must consider paying the employee an amount of money that will compensate him or her for the termination. This especially happens when the reasons for the termination are not due to the inconsistencies and the incapability of the employee. If the reasons for termination are market driven, then the employer must consider the fate of the employee who has nothing to do with the turn of events, which is called the unemployment compensation (Hospital Employees’ Union, 2013) Insurance policies and taxation are other issues that the agreement should consider. Most of the workers in the health sector are insured against risks in the workplace and other risks in their lives. Therefore, the contract must consider the nature of the policies that employees had before their termination. The consideration should be as to whether the employee will continue enjoying protection or the contract will be cancelled. The settlement agreement

Thursday, February 6, 2020

Opera in the U.S. by American composers Essay Example | Topics and Well Written Essays - 1500 words

Opera in the U.S. by American composers - Essay Example Opera in the U.S. by American composers Answering the question that many people have not been able to answer since the 1960’s, Opera in the United States of America supports performance and creation of new works by American composers especially those from the northern side. OPERA America’s online education core, which is the learning centre, features information, which not only focuses on frequent operas but also houses an inventory that has proven to grow of composers from north America as well as their operas for use by opera lovers, artists and administrators. Therefore, Opera finds synopses, biographies of librettists and composers, historical essays and other research as well as other multimedia excerpts. Jazz composers for example, which happens to be the genre subject in this paper, started way back in the 1960’s and up to date the composers still rely on Opera for research work. In the Opera, there is the voice workshop and the composers’ series, w hich is a competitive biannual fellowship, offered to composers especially those of jazz and composer/librettist teams (Gilbert& Chase, 26). The notion behind fallacies as outlined by major philosophers asserts that in order to be a rational thinkers and composers, then one should avoid the illogicality in fallacies and carry out an examination to gauge one’s level of thinking. While composing, development for Rational Persons involves Viewing Development in Stages; the composer tries to explain the basic concepts that would help in becoming a rational jazz composer. Librettists like mark Campbell places in the mind of the audience stages of evaluation through which one can become a more rational thinker. While at Opera and in stage one, composers assert that it is of primary importance to accept that since humans are always working towards being more rational thinkers, we should accept that shortcoming characteristic of humans and work towards better realization of relevant thinking. The second stage helps composers realize that unless they accept to being irrelevant thinkers, only then can they proceed to being rational thinkers. Stage 3 asserts that composers first question the belief of their reasoning before actually bringing it out to other people. When a composer gets to this stage, then he or she can be referred to as ‘beginning thinkers’. In the fourth stage, a composer is able to have a clearly defined outline of his or her thinking formula. One is able to have an organized line of thought even in arguments. According to Opera, There are 4 different kinds of fallacies. I. Non sequitur is the form of thinking where the composition may be right or wrong, but the premise from which the conclusion is born does not have clear outlay. II. Faulty analogy asserts some level of irrelevance during composition. For instance, if B has content, same as V and V has same composition as Q; simply assuming that therefore B and Q have same properti es without founded conclusive finding is irrelevant and illogical. III. Hasty generalization: in this form of fallacy, a composer simply draws conclusion based only insufficient evidence. If in a list of 12 people, 10 have passed in an exam, simply assuming that the remaining two also have passed in an exam holds no ground for a sufficient conclusion. IV. Equivocation simply implies the

Wednesday, January 29, 2020

Product and Service Marketing Analysis Essay Example for Free

Product and Service Marketing Analysis Essay Product and service marketing are highly related. Take the success of a company like Apple, for example. The technology giant operates nearly 400 retail stores, employs more than 42,000 people and hosts more than a million visitors each day. In 2012, Apple’s retail operations generated nearly $19 billion. Furthermore, it’s estimated that Apple’s Fifth Avenue store generates more than $35,000 per square foot, making it the highest grossing retailer in New York – ever. Those statistics reinforce the company’s product and service strategies of those of a highly successful company. Apple continues to hold a number one spot on a list of the world’s most admirable companies. However, the success of Apple hasn’t always been so great. It wasn’t until the company combined good products with good services, that profits increased exponentially. Slide 12-12: Service Differentiation Apple actually had a point in business in which it struggled. That was in the 1990s when the company was selling products through larger retailers such as CompUSA and Sears. It was then, that Apple computers were shoved to the side, out of the main view of customers, as just another computer brand available on store shelves. Apple employees didn’t pay enough attention to the installation of the product in the big box stores in which it was being sold, so there wasn’t a true selling point for buyers. Also, the product delivery took a major hit. In fact, the brand became so weakened when retailers did not market the products properly, that the inventory wasn’t fully stocked. While Apple products plummeted in sales, the Gateway company was offering direct sales to consumers in its own stores, and Apple had to reinvent its business model, and quickly learn how to operate in a different manner. Less than two years after Apple launched its retail stores, Gateway shut down all of its shops and laid off 2,500 workers. Only three years later, CompUSA closed its chain of 23-year-old stores as well. Apple went against much of the advice it had received, and clearly the company was doing something right. Apple created retail stores that offer more than just a product. The stores offer a shopping experience that consumers often give raving reviews on. That includes ordering ease, smooth delivery, clear installation, the right customer training and consulting, and simplified maintenance and repair. Slide 12-11: Product Differentiation Apple Stores are now the highest performing stores in retail history. This isn’t due to just good in-store and online service. The products typically set the bar among all other technology products offered in the industry. Many Apple products come with customizable features based on a customers wants and needs. That includes hard drive and disk space, all the way down to the detail of an optional custom engraving on a product. In addition to the features, Apple products are known to hold superior performance quality. Sure, the products aren’t cheap, but typically when a customer buys an Apple product, they know that product will pay for itself over time. Slide 13-5: Categories of Service Mix When you’re dealing with a product that Apple designs and sells, it’s typically a highly technological device. That tangible good brings on accompanying services. The more advanced the product, the greater the need for those high-quality supporting services. When a customer goes into an Apple store looking for a new computer or an iPad, there’s a chance they don’t know how to maximize its use to its full capability. Apple found a way to assist costumers, so they can learn about the devices they’re purchasing for free. Employees at each Apple retail shop hold free workshops for consumers to teach the basics. In addition to workshops, customers can sign up for one-on-one training sessions to dig even deeper into their product’s capabilities. Slide 13-6: Service Distinctions These services offered by Apple require the client’s presence; therefore employees need to be considerate of the consumer’s needs. That is why Apple is known for hiring â€Å"customer-obsessed, empathetic employees.† Apple cofounder Steve Jobs offered a unique insight about how consumers interact with technology. Jobs said often the problem was that consumers are limited to thinking in terms of only what they know, instead of what is possible. Jobs once said that one of the keys to Apple is that the company builds products that turn the employees on. That is certainly to the benefit of the customers, that it â€Å"often means products are exactly what they want because Apple employees are so deeply entrenched in and committed to the customer’s experience.† Slide 13-8: Distinctive Characteristics of Service While many consumers know the physical products Apple offers are those of high quality, the company has made it a point to â€Å"manage the evidence,† and â€Å"tangibilize the intangible.† In doing so, Apple had to create stores that have a clean layout, in which traffic flows steadily, have employees that are busy, but they can still manage the workload, have equipment that is state of the art, have a symbol that suggests quality in both product and service, and finally, has a reasonable price for service. We already know that Apple services are offered for free, the company’s logo is iconic, and that the equipment is top notch. So, Apple’s stores had the main focus of a clean layout and employees readily available, yet still busy. When a customer walks into an Apple store, the aesthetics are clean and well thought out. Each product is on display for testing use, and the floors, walls, and counter spaces are clean and tidy. In addition to that, carefully recruited and trained sales associates are encouraged to take customers on a â€Å"ride.† They give each willing customer a short, informative tour of the space to be able to have a conversation and connect with each and every visitor. Then, of course, there’s the offering of support for each customer, which is just another delight to those who shop at Apple. The end result of Apple’s mix of product and service marketing combined is certainly one of success. Apple has the highest retail sales per square foot than any other U.S. retailer. The stores average more than $6,000 per square foot, which is more than twice the former gold standard Tiffany Company. That success did not come with quality products alone, but quality product marketing coupled with quality service marketing. The company’s marketing strategy is unique, but the company figured out how to attract and retain customers, generate an extremely large amount of word-of-mouth and brand appeal to give it a huge competitive advantage. Works Cited Chazin, S. (2013). The Retail Secrets of Apple. Retrieved from http://www.marketingapple.com/marketing_apple/2013/01/the-retail-secrets-of- apple.html on 07/23/2013. DuBois, S. (2011). World’s Most Admired Companies. Retrieved from http://money.cnn.com/magazines/fortune/mostadmired/2011/snapshots/670.html on 07/23/2013. Kotler, P; Keller, L (2011). Marketing Management (14th ed). Upper Saddle River, NJ: Prentice Hall. Moorman, C. (2012). Why Apple is a Great Marketer. Retrieved from http://www.forbes.com/sites/christinemoorman/2012/07/10/why-apple-is-a-great-marketer/ on 07/23/2013.

Monday, January 20, 2020

Quest for Identity in Maxine Hong Kingstons Autobiography, The Woman W

Quest for Identity in Maxine Hong Kingston's Autobiography, The Woman Warrior Maxine Hong Kingston's autobiography, The Woman Warrior, features a young Chinese-American constantly searching for "an unusual bird" that would serve as her impeccable guide on her quest for individuality (49). Instead of the flawless guide she seeks, Kingston develops under the influence of other teachers who either seem more fallible or less realistic. Dependent upon their guidance, she grows under the influence of American and Chinese schools and the role models of Brave Orchid, Fa Mu Lan, and Moon Orchid. Her education by these counselors consequently causes her to abandon her search for an escort, the bird to be found somewhere in the measureless sky, and she begins to look inside herself for "the ideograph 'to fly'" (Kingston 35). The new song Kingston finally creates with her "talk story" of Ts'ai Yen, verifies her optimistic distinction from her educators, cultural norms, which have indoctrinated and restricted her childhood. During much of her childhood, Kingston goes to the "American School" during the day and the "Chinese School" in the evening as she filters the conflicting material given in each of these environments to determine what works in her Chinese-American life. In attending the American school, Kingston discovers American ideologies of loquaciousness and arrogance. From the influence of their American schoolmates Kingston and her siblings "never said, 'Oh, no, you're too kind. . . . I'm stupid. I'm ugly.' They were capable children. . . . But they were not modest" (Kingston 134). The children expected their Chinese parents to join in their arrogance, and Kingston proudly tells her mother, "I got straight A's, Mama" (45). H... ...d not the measureless sky, her voice begins to sing a distinctly Chinese-American song. Kingston sings just as Ts'ai Yen "sang about China and her family . . . [from] savage lands," and speaking of her newly found identity, established in America but conceived in China, Kingston decides, "It translated well" (Kingston 209). Works Cited Hunt, Linda. "'I Could Not Figure Out What Was My Village': Gender Vs. Ethnicity in Maxine Hong Kingston's The Woman Warrior." Melus 12.3 (1985): 5-12. Kingston, Maxine. The Woman Warrior. New York: Vintage Books,1989. Ling, Amy. "Maxine Hong Kingston and the Dialogic Dilemma of Asian American Writers." Ideas of Home: Literature of Asian Migration. Ed. Geoffrey Kain. East Lansing: Michigan SUP, 1997. 141-56. Wang, Veronica. "Reality and Fantasy: The Chinese-American Woman's Quest for Identity." Melus 12.3 (1985): 23-31.

Sunday, January 12, 2020

Family Issues

International Research Journal of Finance and Economics ISSN 1450-2887 Issue 52 (2010)  © EuroJournals Publishing, Inc. 2010 http://www. eurojournals. com/finance. htm Does Education Alleviate Poverty? Empirical Evidence from Pakistan Imran Sharif Chaudhry Associate Professor of Economics. Bahauddin Zakariya University Multan, Pakistan E-mail: [email  protected] edu. pk Shahnawaz Malik Professor of Economics, Bahauddin Zakariya University Multan, Pakistan E-mail: [email  protected] edu. pk Abo ul Hassan Ph.D Research Fellow, Department of Economics, Bahauddin Zakariya University Multan, Pakistan E-mail: [email  protected] com Muhammad Zahir Faridi Lecturer, Department of Economics, Bahauddin Zakariya University Multan, Pakistan E-mail: [email  protected] com Abstract Poverty has become a sensitive and ever remained issue almost in all developing countries of the world. Education plays a vital role in poverty alleviation. Therefore, it is important to investigate that whethe r different levels of education or literacy cause to alleviate poverty.The major objective of this study is to evaluate the effects of different levels of education and literacy on the incidence of poverty in Pakistan. Our results suggest that poverty alleviation process would be accelerated if resources are targeted at education sector especially in higher education. Pakistan presents a paradoxical situation. Until the late 1980s Pakistan had achieved a spectacular record of economic growth and reduced incidence of poverty remarkably, but the country had horrible social indicators.However when social indicators began to improve in the 1990s for a variety of reasons, both internally and externally driven, the average rate of economic growth declined. Contrary to the said situation, the general perception about Education is that the role of education in poverty alleviation, in close co-operation with other social sectors, is crucial. This paper is mainly intended to explore the reali ty that to what extent education is affective in poverty alleviation in Pakistan. In addition, some important macroeconomic variables have also been taken understudy to find out the reality of the problem.Keywords: Education; Poverty; Inflation; Economic Growth; Openness; Pakistan International Research Journal of Finance and Economics – Issue 52 (2010) 135 I. Introduction Poverty is a multidimensional phenomenon, encompassing inability to satisfy basic needs, lack of control over resources, lack of education and skills, poor health, malnutrition, lack of shelter, poor access to clean water and sanitation, vulnerability to shocks, violence and crime, lack of political freedom and voices. The poor are the true poverty experts.They assert on material well being, physical well being, social well being, security of food, security of law and order, public safety, safety from violence and civil conflicts, freedom of choice and action, being a part of the decision making body rather to be a victim of decision making body and the security of jobs. Poverty can be looked at from different angles and depending upon the perspective one adopts definitions of poverty may vary. It differs from country to country and from context to context. Poverty may be absolute or relative.Absolute poverty can be eradicated but relative poverty cannot. Relative poverty is a dynamic concept because it involves comparison between groups. It exists in all parts of the world, either in packets or on a much larger scale. In Pakistan both absolute and relative poverty exists normally, poverty is measured in monetary terms. The causes of poverty are also multidimensional. 1 There is no single cause that can explain it fully. Poverty is often related to a number of factors: physical, psychological, economic and sociocultural.Among the physical factors accounting for poverty are an unfavorable natural environment and lack of basic physical and economic infrastructure. These may also relate to poor health and malnutrition. Psychological factors refer to feel of hopelessness, helplessness, lack of confidence in one’s self and poor self-image resulting from inappropriate value system, cultural deprivation and undeveloped potential. These factors may also be related to an inability to participate in democratic processes and behavioral inadequacies aggravated by low levels of literacy and education.Education is the most important factor that distinguishes the poor from the non-poor; according to Pakistan’s Interim Poverty Reduction Strategy Paper 2001, the percentage of literate of households heads is 27 in poor households while for non-poor households it is 52. Though the origins of human capital theory can be traced to the earlier economists – from Adam Smith (1776) to Alfred Marshall (1920) – it is Theodore Schultz (1961) who created a ‘human investment revolution in economic thought’ by emphasizing the role of human capital in e conomic growth.Schultz (1961), Gary Becker (1964), Jacob Mincer (1972) and many others with their voluminous pioneering contributions placed education at a high pedestal in the theories of economic growth. Amartya Sen (1999) rightly argues that education constitutes a part of human freedom and human capability. . Over the period under study many important factors like unemployment, current account deficit and services growth rate have been contributed to why poverty is increasing even though education has increased consistently.We have tried to give a brief description of the debate of researchers that if increased education has significant impact on income and thus poverty or not or whether there are other factors mitigating or attenuating the impact of education on poverty. However in our analysis, the central focus has been on the role of education in poverty alleviation. Education has important implications for the analysis of changes in a poverty profile in a country. Keeping i n view the issues high lighted above, this paper tries to answer following related questions.Does education play its role to alleviate poverty? What is the role of other key macroeconomic variables in poverty alleviation? What can be generalized about the impact of education on poverty? What are the important policy implications? These questions keep their extreme importance as answering the said questions will bring a solution to the hitherto puzzle that’s why Pakistan is lagging behind on the development path as compared to some developed countries who got independence later than us. 1 Technical consultation on literacy as a tool for the empowerment of the poor, Lampang, Thailand, 1997. 36 International Research Journal of Finance and Economics – Issue 52 (2010) To pursue the problem understudy, this paper is technically divided into several parts. Firstly we have attempted to explain the conceptual and theoretical framework of education and poverty alleviation. So f ar as the empirical analysis is concerned, we have divided it into two portions. The first portion presents the descriptive analyses and the second portion presents the econometric analysis which has been undertaken by considering autoregressive regression equations. II.Education and Poverty: A Theoretical Framework The economists often define education as having ‘direct effects’ and ‘indirect effects’. The direct effects of education are the imparting of knowledge and skills that are associated with higher wages. The indirect effects, also often referred to as external benefits, include fulfillment of basic needs, higher levels of democratic participation, better utilization of health facilities, shelter, water and sanitation and the additional effects which occur in woman’s behavior in decisions relating to fertility, family welfare and health.The relationship between education and poverty can also be examined by rate of return analysis, and produc tion function analysis – at individual as well as social/national levels. Rates of return are estimated using either Mincerian earnings function (Mincer, 1972), or using the concept of marginal efficiency of capital that relates costs of education to the lifetime benefits, essentially earnings associated with education. III. Data and Methodological Issues In order to study the impact of education on poverty, the study chooses time series data, for thirty five years (1972-2007) for Pakistan.The poverty data sets are collected mainly from Malik (1988), Amjad and Kemal (1997), Jamal (2003) and various issues of Pakistan Economic Survey since 2005, while the data on other variables is collected from World Bank, World Development Indicators (WDI), April 2008, ESDS International, (Mimas), University of Manchester. To make time series data on poverty incidence, a linear interpolation technique is employed. The selected time period presents the paradoxical situation of Pakistan as bo th growth and social indicators move in opposite directions.That is why it is selected to understand this paradoxical situation. Thirty five years time period is long enough to capture long run effect of most of the variable constructed in this study. We have tried to keep in view the problem of endogeniety while selecting the explanatory variables for our analysis. The study chooses the absolute poverty (poverty headcount index), education literacy rate, primary school level enrollment rate, middle school level and the university level enrollment widely used proxies for education) as the key variables.In addition, some useful variables (Growth rate, inflation rate, and Trade openness) have also been included in our model. In this study, autoregressive models are employed for econometric empirical investigation. In our first poverty autoregressive regression model, growth, literacy rate, CPI, and hcr(-1) are used to analyze while in the second model, some enrollment rates at various levels are considered. In order to achieve the objectives of the study, trade openness is also considered to check the robustness of globalization. Log values of the variables are used in the analysis.We postulate that the incidence of poverty prevailing in the economy is significantly dependent on higher education level. International Research Journal of Finance and Economics – Issue 52 (2010) 137 IV. Results and Discussions a) Descriptive Analysis Our complete data set consist of 35 years of annual observations from 1973-2007 on the selected variables. The descriptive statistic is reported in table 1 which states that the average of head count ratio (HCR) for our study period is 27. 63% with a standard deviation (SD) of 6. 74. The average of primary school enrollment rate is 11316. 8 with 6204. 18, the value of its standard deviation (SD). Middle school enrollment is 2667. 611 on an average and with standard deviation (SD) 1326. 06. The average values for university enroll ment rate, real gross domestic product (RGDP) and openness are 83045. 19, 22879. 24, 33. 81 with the value of standard deviations 65444. 71, 5756. 76, 3. 18 are given accordingly. As far as skewness of variables is concerned head count ratio (HCR), primary school enrollment rate, middle school enrollment rate and university enrollment rate are skewed on the rightward whereas openness is skewed leftward.All the variables are skewed a little. Table 1: Descriptive Statistics HCR 27. 63 25. 20 45. 75 20. 71 6. 74 1. 04 3. 26 6. 64 0. 04 LITR 36. 93 34. 35 55. 00 22. 10 10. 92 0. 24 1. 56 3. 47 0. 18 MIDDLE 2667. 61 2350. 00 5368. 00 963. 00 1326. 06 0. 36 1. 83 2. 84 0. 24 PRIMARY 11316. 78 9827. 00 24465. 00 4210. 00 6204. 18 0. 57 2. 02 3. 36 0. 19 UNIV 83045. 19 65642. 00 296812. 00 17507. 00 65444. 71 1. 76 5. 59 28. 74 0. 00 OPEN 33. 81 34. 35 38. 91 27. 72 3. 18 -0. 30 2. 19 1. 53 0. 47 RGDP 22879. 24 23859. 71 33820. 04 14033. 11 5756. 76 -0. 06 1. 86 1. 97 0. 37 CPI 56. 51 39. 7 3 149. 0 7. 40 41. 73 0. 67 2. 16 3. 77 0. 15 Mean Median Maximum Minimum Std. Dev. Skewness Kurtosis Jarque-Bera Probability Kurtosis is a measure whether the data set is peaked or flat relative to a normal distribution. Kurtosis statistic of the variables shows that only HCR and university enrollment is Leptokurtic (long tailed or high peakedness) and all other variables are Platykurtic (relatively narrower tailed then the normal curve. However the value of HCR is though high compared to the value of Meso-kurtic curve but it is not too high from the value desired for a normal distribution.The Jerque-Bera (JB) test of normality gives joint hypothesis of skewness and kurtosis. Jerque-Bera test of normality suggest that if the computed P-value of JB-statistic of university enrollment rate is sufficiently low as the value of the statistic is very different from zero, we state that the residuals for university enrollment rate is not normally distributed. For all other variables include d in the present study, it is concluded that residuals for these variables are normally distributed. Table 2: Correlation Matrix HCR 1. 00 -0. 35 -0. 37 -0. 28 -0. 30 -0. 9 -0. 53 -0. 27 LITR 1. 00 0. 99 0. 98 0. 84 0. 25 0. 97 0. 98 MIDDLE 1. 00 0. 99 0. 86 0. 28 0. 97 0. 98 PRIMARY UNIV OPEN RGDP CPI HCR LITR MIDDLE PRIMARY UNIV OPEN RGDP CPI 1. 00 0. 89 0. 20 0. 95 0. 99 1. 00 0. 18 0. 84 0. 91 1. 00 0. 39 0. 17 1. 00 0. 94 1. 00 The degree of the relationship of the variables is also estimated and reported in table 2. All the variables are negatively correlated with each other. The results state that openness is highly correlated and primary, middle, university enrollment rates and RGDP are moderately correlated with HCR. 138International Research Journal of Finance and Economics – Issue 52 (2010) b) Autoregressive Regression Analysis In our analysis, we have used a data set using time series ranging from 1973-2007. To investigate the significance of education (literacy) on the incidence of absolute Poverty, we have following autoregressive regression models. The robustness of the models is examined by including and excluding some important macroeconomic variables in our analysis. The model is given as below: The Poverty Autoregressive Regression Model- 1 LHCR = ? 0 + ? 1 LRGDP + ? LLITR + ? 3 LCPI + ? 4 LOPEN + ? 5 LHCR (? 1) + ? i Table 3 presents the estimation results in which head count index (HCI) is the dependent variable and the variables such as growth rate, literacy rate, consumer price index (CPI) and head count index (HCI) for the previous year are all explanatory variables in the present analysis. The value of adjusted Rsquared is 94. 5%, implying that 94. 6% of the variation in the dependent variable is explained by the independent variable. The value of R-squared clearly shows robustness of our results. The value of hstatistic is 1. 8, the results indicates that there is no significant autocorrelation problem in the error. The coeffic ient for growth verifies our theoretical expectations, implying an inverse relationship between poverty and growth. The coefficient for growth is highly significant putting an immense effect on poverty. The results verify the findings of Sarris who could find that overall economic growth reduces overall poverty. The coefficient for literacy is significant in the poverty regression analysis. However the variable is inversely related with the dependent variable which verifies the theoretical relationship of the two variables.The above results follow the findings of Dollar and Kraay (2002) who have concluded that growth is a prominent factor in eliminating poverty and that the impact of low level of educational attainment is not so much important. The coefficient of the consumer price index (CPI) having an expected theoretical sign, implies a positive relationship with poverty. However coefficient is not statistically highly significant. Our results also second the findings of Romer an d Romer who believed that an increase in inflation will be associated with a decline in the unemployment in the short run that may well relatively benefit the poor.The findings of Agenor (1998) also strengthen our faith on the outcome of our analysis implying the fact about the poverty rates to be positively related with inflation. The previous year’s poverty is highly significant with the incidence of poverty. The coefficient of the variable is keeping a postulated positive sign. The best justification of the result is given by the Ragner Nurkse who could observe that a â€Å"country is poor because it’s poor. † Although the theoretical expectations of our present study are fulfilled yet we have included some more important variables pertaining to the human capital.We have included primary, middle and university enrollment rates instead of the literacy rate in our model. In order to check the impact of globalization on the incidence of poverty, we have included the trade openness in our analysis. The coefficient of openness is negative and insignificant. Table 3: Estimates of the Model-I Coefficient 5. 77051 -0. 62553 0. 512801 0. 004567 -0. 123046 0. 713883 0. 94 0. 93 1. 58 Std. Error 2. 62493 0. 300753 0. 263391 0. 085448 0. 137595 0. 094954 t-Statistic 2. 198348 -2. 079882 1. 946923 0. 053446 -0. 89426 7. 518185 F-Stat Prob Prob. 0. 0361 0. 0465 0. 0613 0. 9577 0. 3785 0. 0 99. 93 0. 00 Variable C LLGDP LLITR LCPI LOPEN LHCR(-1) R Squared Adj R Squared h-Statistic International Research Journal of Finance and Economics – Issue 52 (2010) 139 The Poverty Autoregressive Regression Model-2 It is a vivid fact that a problem like poverty cannot be eradicated at all. Owing to the said fact study is intended to explore the answer of the question â€Å"Does education alleviate poverty? † To investigate the query, we have followed the regression model. We have developed the poverty regression model. Primary, middle and university enrollment rates as a proxy for education are used in our model.The model is given below: ? ? 0 + ? 1 LRGDP + ? 2 LPRIMARY + ? 3 LMIDDLE + ? 4 LUNIV + ? Poverty = ? ? ? ? 5 LCPI + ? 6 LOPEN + ? 7 LHCR(? 1) +  µ i ? Table 4 presents the estimation results for the poverty regression analysis where the dependent variable is the poverty had count index (HCI) and remaining seven variables namely log of real gross domestic product, log of primary school enrollment, log of middle school enrollment, log of university enrollment, log of consumer price index, log of openness and the log of head count ratio of the previous year are all independent variables.Note that the adjusted R-squared is 95. 9% implying that the approximately 95. 9% variation in the dependent variable is explained by the independent variables. The coefficient for LRGDP is keeping a negative sign implying the inverse relationship of LRGDP with the incidence of poverty. The theoretical relationship of LRGDP and LHCR also supports the negative relationship of these two variables. But the coefficient for LRGDP is statistically insignificant pervading a little effect on the incidence of poverty.The coefficient for log of primary enrollment rate and log of middle enrollment rate both keep a positive relationship with the incidence of poverty implying that both the standards minutely aggravate the incidence of poverty. The coefficients for both the levels are statistically insignificant which shows lesser nuisance value of primary and middle standards of education. The results also match with the findings of Rodriguez K Smith (1994) and Coulombe and Mckay (1996) who believe that the likelihood of being poor is higher for the lower levels of education.The coefficient for the log of university enrollment rate is statistically highly significant in the poverty regression analysis as shown in the table 3. The variable is inversely related with the dependent variable which verifies the theoretical relationshi p of the two variables. The estimation results verify the findings of all those who believe in an effective role of human development of poverty alleviation. The estimation results stay in line with the findings of Tilak (1994) which emphasize on the role of education.The results also explain that higher education is one of the most powerful means to reduce poverty. Our results also match with the findings of King (2005) who has argued that the agenda of the millennium development goals for education cannot be achieved without giving right consideration to higher education. All the prominent approaches of development like the human capital approach, the basic need approach, the human development approach and the capability approach which recognize the inverse relation of education and human poverty stay in line with our results.The coefficient for inflation rate in the poverty regression analysis for log values has become significant statistically and it is positively related with t he poverty head count index. The postulated positive sign of inflation portrays the fact that inflation is regarded as more of a problem by the poor. The fact was also found by William Easterly and Stanlay Fischer (2001). According to them the rich are better able to protect themselves against, or benefit from; the effects of inflation then are the poor.The coefficient of openness is keeping a postulated negative sign, implying an inverse relationship between the incidence of poverty and openness. The estimation result shows that openness is powerfully influencing the poverty head count index as the coefficient of openness is found highly statistically significant. The results match with the findings of Derek H. C. Chen, Thilak Ranawera and Andriy Storozhuk who argue that high level of globalization, globalization would tend to increase poverty. The coefficient for the poverty of previous year is statistically highly significant, keeping a positive relationship with poverty. 40 Tabl e 4: International Research Journal of Finance and Economics – Issue 52 (2010) Estimates of the Model-2 Coefficient 3. 707976 -0. 205005 0. 060653 0. 042189 -0. 154165 0. 127132 -0. 186327 0. 796384 0. 96 0. 95 -1. 68 Std. Error 1. 937434 0. 246698 0. 1637 0. 190211 0. 04069 0. 0777 0. 110726 0. 081578 t-Statistic 1. 913859 -0. 830995 0. 370514 0. 221801 -3. 788787 1. 63619 -1. 682781 9. 762301 F-Sat Prob Prob. 0. 0663 0. 4133 0. 7139 0. 8261 0. 0008 0. 1134 0. 1039 0. 00 114. 37 0. 00 Variable C LLGDP LPRIMAR LMIDDLE LUNI LCPI LOPEN LHCR(-1) R Squared Adj R Squared h StatisticV. Conclusion and Some Policy Recommendations In this paper, we addressed a key issue in the current debate on economic development: the role of education in poverty alleviation. We have reviewed the empirical evidence on the relationship between education and poverty. The link of education to poverty is one of the most important dimensions of policies towards poverty. Education may affect poverty in ma ny ways. It may raise the incomes of those with education. It may in addition, by promoting growth in the economy raise the incomes of those with given levels of education.To measure education we used, among others, the literacy rate, primary education level, middle education level and university education level as proxies for education. To measure poverty, we emphasized on the concept of absolute poverty, using the poverty headcount index and as a proxy for relative poverty. We have used the econometric techniques to sketch a few stylized facts in a very complex framework of relationship. The present study incorporates macroeconomic, structural and policy variables to poverty headcount index and education.More specifically, the poverty equation links the incidence of poverty to CPI, growth, literacy rate, primary school education, middle school education and university education level and openness. The said relationship thus enables the changes in poverty due to the changes in macr oeconomic or policy variables to be projected. The relationship is empirically estimated using time series regressions, based on thirty five years data of Pakistan from 1973 to 2007, which determined the magnitudes of the effects of the above mentioned macroeconomic, structural and policy variables on poverty.The results from the empirical analysis indicate that the university education significantly alleviates the incidence of absolute poverty. It is concluded that university education comes up with a powerful tool for poverty alleviation, keeping an inverse relationship with the dependent variable. As the higher education increases, the level of poverty decreases in the country. This result confirms the expectations that poverty is highly influenced by education. Local universities help developing countries in improving the skills of human capital which ultimately become helpful in poverty alleviating.University graduates have the specialized skills to earn a living and infuse the ir sector of employment- whether in the private industry, the public sector or civil society-with the enterprise that underpins success. Getting universal primary education, one of the millennium development goals, without the higher education would simply mean increasing the burden of unskilled population on the economy. Some people consider university education a luxury for developing countries. It is not a luxury, it is essential.Our estimation results confirm the best known approaches like the human capital approach, the basic needs approach, the human development approach and the Sen’s capabilities approach as all four approaches mainly emphasize on the attainment of education for economic development. Our estimation results carry an important policy implication-namely that the spread or the distribution of higher education among the population can have a powerful impact on their welfare. A household with no education among any of its members may benefit from even one me mber gaining access toInternational Research Journal of Finance and Economics – Issue 52 (2010) 141 education, beyond the immediate gains to that particular individual. And this is not only the case when an improvement in the education of the family’s children, but also it becomes the better and immediate source of earning opportunities for other members. Our empirical results confirm that education plays an effective role in poverty alleviation. Accordingly, a focus of economic policies on education in order to reduce poverty and to speed up development appears to be justified.Inflation also becomes the cause of poverty while trade openness reduces poverty significantly. 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