...Policy? © Higher Education Press and Springer-Verlag 2010 Abstract Many theory and empirical literature conclude that house price can reflect economic fundamentals in the long-term. However, by using China’s panel data of 35 main cities stretching from 1998 to 2007, we find that there is no stable relationship between house price and economic fundamentals. House price has deviated upward from the economic fundamentals since government started macro-control of the real estate market. We consider that the mechanism between the house price and economic fundamentals is distorted by China’s real estate policy, especially its land policy. Meanwhile the policy itself is an important factor in explaining the changes of China’s house price. Then we estimate the dynamic panel data model on house price and the variables which are controlled by real estate policy. The result shows: land supply has negative effects on house price; financial mortgages for real estate have positive effects on house price; and the area of housing sold and the area of vacant housing, which reflects the supply and demand of the housing market, has negative effects on house price. We also find some differences in house price influence factor between eastern and mid-western cities. Finally, we propose policy suggestions according to the empirical results. Keywords house price, economic fundamental, real estate policy, dynamic panel data model JEL Classification E31, R20, R31 1 Introduction Ever since...
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...For example, height and weight are related; taller people tend to be heavier than shorter people. The relationship isn't perfect. People of the same height vary in weight, and you can easily think of two people you know where the shorter one is heavier than the taller one. Nonetheless, the average weight of people 5'5'' is less than the average weight of people 5'6'', and their average weight is less than that of people 5'7'', etc. Correlation can tell you just how much of the variation in peoples' weights is related to their heights. Although this correlation is fairly obvious your data may contain unsuspected correlations. You may also suspect there are correlations, but don't know which are the strongest. An intelligent correlation analysis can lead to a greater understanding of your data. Techniques in Determining Correlation There are several different correlation techniques. The Survey System's optional Statistics Module includes the most common type, called the Pearson or product-moment correlation. The module also includes a variation on this type called partial correlation. The latter is useful when you want to look at the relationship between two variables while removing the effect of one or two other variables. Like all statistical techniques, correlation is only appropriate for certain kinds of data. Correlation works for quantifiable data in which numbers are meaningful, usually quantities of some sort. It cannot be used for purely categorical data, such as gender...
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...E – International Scientific Research Journal, VOLUME – V, ISSUE – 2, 2013, ISSN 2094 - 1749 FACTORS INFLUENCING THE ACADEMIC PERFORMANCE IN PHYSICS OF DMMMSU- MLUC LABORATORY HIGH SCHOOL FOURTH YEAR STUDENTS S.Y. 2011-2012 Noemi Mangaoang-Boado noemi2569@yahoo.com Don Mariano Marcos Memorial State University Mid La Union Campus San Fernando City, 2500 La Union, Philippines ABSTRACT This study focused on the investigation on the predictors of the academic performance in Physics of Don Mariano Marcos Memorial State University Mid La Union Campus (DMMMSU-MLUC) Laboratory High School Fourth Year Students for the School Year 2011-2012. Factors such as family, student, school and teacher factors were correlated to academic performance. Significant relationships to academic performance in Physics occurred for the four factors namely, Grade Point Average (GPA) in Math, GPA in English, attitude towards Physics, and study habits. The results imply that students’ performance in Physics will be higher if they perform better in English and Mathematics; if they show positive attitude towards Physics; and if they possess good study habits. Among the factors, GPA in Math had the best influence to academic performance in Physics. KEYWORDS: performance, factor, predictor INTRODUCTION Learning (represented by academic performance in this study) of students is not confined in a closed space. Different factors bombard this learning which can either enhance or undermine it. These include family...
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...is Adorned by shopping and entertainment from local artists. The Bishop Arts District is a small and active community with the average house hold size of 4 and median income of $30,000 per year. The area originally consisted of warehouses and shops in the 1920s. In the past there was a trolley transportation system that made the subdivision even more popular. The mid-60's through the beginning of the 80's the Bishop Arts district began a decline. The decline was a result of the rise of the shopping mall, neighborhood demographic changes and finally the fact that buses began to replace streetcars making trolley stops which brought less visitors and commerce to the community. Over the past twenty years, renovations have taken place to transform two city blocks into a walk able, urban environment, although the surrounding area has yet to undergo revitalization. Murals, brick pavers, and other street elements have polished the rough look of the warehouses and have made the area a popular leisure and dining destination. 1. Report the demographic and independent variables that are relevant to complete a demand analysis providing a rationale for the selection of the variables. As previously mentioned the average house hold size is 4 and the median income is approximately $30,000 per year. Average housing prices beginning at $146,000. Lastly, the median in rent begins at $700 per month. The financial variables per house hold would have an effect on consumers purchasing pizza from...
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...Banks and the National Banking Acts: A Tale of Creative Destruction By Matthew Jaremski† Vanderbilt University Job Market Paper November 2010 Abstract: The National Banking Acts and their supporting legislation led to 303 state bank closures and 879 charter conversions between 1863 and 1869. This paper analyzes the sudden reorganization using the period’s first complete bank-level census. The data suggest that the national capital requirements prevented many existing banks from converting to a national charter, whereas a tax on state bank notes was responsible for the large number of closures. Moreover, the requirements prevented new national banks from replacing closed state banks. The legislation thus redistributed capital to developed cities along the “Manufacturing Belt”, potentially fueling the growth of factories and the populist movement after the Civil War. JEL: (E22, G21, N21) Keywords: Free Banking, National Banking, U.S. Economic History, Bank Regulation. † Dept. of Economics, Vanderbilt University, VU Station B #351819, 2301 Vanderbilt Place, Nashville, TN 37235-1819. Tel.: 214-284-9558 E-mail: matthew.s.jaremski@vanderbilt.edu 1. Introduction Bank regulators walk a delicate tightrope. On one hand, they must stabilize the financial system to prevent future crises. On the other, they must allow bank expansion to facilitate future economic growth. Attempting to reform the free banking system, the National Banking Acts of 1863 and 1864 has been criticized...
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...technology in the workplace. Research examining age differences in technology adoption decisions A research study was conducted by Micheal G.Morris and Viswanath Venkatesh in the year 2000 to investigate age differences in individual adoption and sustained usage of technology in the workplace using the theory of planned behavior. The theory of planned behavior is a theory which links beliefs and behavior. The study was done over a period of 5 months among 118 workers. User reactions and technology usage behavior were studied majorly in this experiment by introducing a new software system to the workers. Research Method: The setting for the research done by Morris and Venkatesh was a medium-size financial accounting firm in a large mid-western city with approximately 300 employees. The firm was well established and had been in business for about 15 years. A total...
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...test for Wal-Mart’s effect on prices of services that it does not provide, such as movie tickets and dry cleaning services. JEL Codes: L11, L13, L81 Keywords: Wal-Mart, Retail Prices, Supermarkets, Price Competition ∗ Contact: emek@missouri.edu or mdnoel@ucsd.edu. We thank Saku Aura, Roger Betancourt, Paul Dobson, Luke Froeb, Jerry Hausman, G¨nter Hitcsh, Ephraim Leibtag, Saul Lach, Daniel Levy, Ye¸im u s Orhun, David Parsley, the editor and two anonymous referees for helpful comments, seminar participants at the Federal Reserve Bank of San Francisco, UC Santa Cruz, Bar-Ilan University, DePaul University, University of Illinois–Chicago, University of Milan, Norwegian University of Science and Technology, the 2006 Comparative Analysis of Enterprise (Micro) Data Conference (Chicago), the 2007 IIOC (Savannah) and QME Conference (Chicago), and the...
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...Empirical 4 Methodology and Data Methodology 4 Data Collection 5 Econometric Specification 5 Hypothesis 6 Main Result and Analysis 7 Implication of Finding 9 Conclusion 10 Limitations 10 Future Work 11...
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...Prediction and Analysis of the Gap of Per Capita Annual Income between Rural and City Households based on ARMA model Abstract This paper applies ARMA model into the analysis of the gap of per capita annual income between rural and city households from 1978 to 2011. Firstly, it builds up several ARMA models based on 1978-2009 data; and then predicts the income gaps of 2010 and 2011. Compared to the real income gaps of 2010 and 2011, this paper shows that ARMA model works well in this time series prediction. Keyword B-J model, ARMA model, per capita annual income of rural and city households 1 Introduction With the rapid development of the China economy, people’s life levels are rising year after year. However, there’re many social problems in the booming economy, such as the income gap between rural and city households. The increasing gap of per capita annual income between rural and city households has been a heat topic in the society, since it may result in the inequality in the social welfare distributions. Also, it will discourage the rural households’ working efficiency and reduce their happiness. In order to deal with this social problem in a proper way, many researchers have been thinking about it and offering advice to the policy makers. LU (2004) says that the phenomenon of urbanization has an important effect on the income gap between rural and city households [1]. YAO (2005) analyzes the relationship between the unbalanced financial development and the income gap...
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...Analyzing the Beautiful Game Sports analytics, no matter the field’s renegade posturing, has now been around long enough to have its own pieces of conventional wisdom. Baseball’s cognoscenti know all about the primacy of on-base percentage over batting average, and they have also come to realize once-treasured strategies like bunting and stealing bases are best used sparingly. In basketball, the mid-range jump shot is slowly being phased out as an inefficient relic of antiquity. Spreadsheets are shaming football coaches into rolling the dice more often on fourth downs. But for many American fans tuning into the World Cup, soccer’s nuggets of analytic insight remain as foreign as the game itself. There are set pieces to orchestrate, attacking strategies to plan, areas of the defense to exploit — and it isn’t always apparent which tactics are best. But analytics has clear advice on how to do some things right. Soccer analytics is very much viewed as a discipline in its infancy. And the sport itself is often described as especially resistant to the pull of number-crunching, whether due to its fluid nature, its sportocratic establishment culture, or a fear that the un-sentimentality of data will rob the Beautiful Game of its celebrated elegance. There’s not much truth to that. Off and on, people have been tracking relatively detailed soccer data in some form for more than six decades, up to and including the modern companies that exhaustively log every event on the pitch. (2) ...
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...significantly improved since the 1970s. However, adverse health effects of exposure to relatively low level of air pollution remain a public concern, motivated largely by a number of recent epidemiological studies that have shown the positive associations between air pollution and health outcomes using sophisticated time-series and other designs [2]. This review highlights the key findings from major epidemiological study designs (including time-series, case-crossover, panel, cohort, and birth outcome studies) in estimating the associations of exposure to ambient air pollution with health outcomes over the last two decades, and identifies future research opportunities. We do not intend for this to be a formal systematic literature review or meta-analysis, but to discuss issues we feel are vitally important based on the recent literature and our own experience. This paper is divided into two parts: firstly to summarize recent findings from...
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...A SUMMER INTERNSHIP PROJECT ON “TO STUDY THE DYNAMIC RELATIONSHIP AMONG FIIs, MUTUAL FUND EQUITY INVESTMENT AND OTHER SELECTED VARIABLES WITH NIFTY” Submitted to S.R. LUTHRA INSTITUTE OF MANAGEMENT IN PARTIAL FULFILLMENT OF THE REQUIREMENT OF THE AWARD FOR THE DEGREE OF MASTER OF BUSINESS ADMINISTRATION In Gujarat Technological University UNDER THE GUIDANCE OF Faculty Guide: Company Guide: Ms.Swapna Nair Mr. Mukesh Vishwakarma Assistant Professor Branch Manager Submitted by Mr. Kalpesh R. Ukani [Batch No. 2014-16, Enrollment No. 147500592114] MBA SEMESTER III S.R. LUTHRA INSTITUTE OF MANAGEMENT – 750 MBA PROGRAMME Affiliated to Gujarat Technological University Ahmedabad July, 2015 Company Certificate This is to certify that Mr. Kalpesh R. Ukani from S.R. LUTHRA INSTITUTE OF MANAGEMENT, have carried out the research on the subject titled “TO STUDY THE DYNAMIC RELATIONSHIP AMONG FIIs, MUTUAL FUND EQUITY INVESTMENT AND OTHER SELECTED VARIABLES WITH NIFTY” at ICICI SECURITIES under the supervision of Mr. Mukesh Vishwakarma, from 8th June 2015 to 17th July, 2015. I also certify that, the above mentioned student has carried the research work satisfactorily. Place: - Surat Date: - _________ Mr. Mukesh Vishwakarma (Branch Manager) Student’s Declaration I, Mr. Kalpesh R. Ukani , hereby declare that the report for Summer Internship Project entitled “TO STUDY THE DYNAMIC RELATIONSHIP...
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...University 40 ,Sec 3,Chung-Shan N. Rd, Taiwan City, Taiwan ROC hclee@ttu.edu.tw Tsai-Hua Chuang Student of Graduate School of Management, Tatung University 40 ,Sec 3,Chung-Shan N. Rd, Taiwan City, Taiwan ROC teresa5797@yahoo.com.tw ABSTRACT For recent years, Taiwan has stepped into an aging society. Life insurance and retirement planning which have quite a lot to do with insurance industry are questions of interest. The insurance industry focuses on close contact among clients, sales people and managers. That is a human-oriented industry, for which the experienced leaders inspire the sales people through continuous training and encouragement and lead them by vision. Therefore, leader’s leadership type is the critical factor for the success of the organization. This research explores the relationships among leader’s leadership style, subordinate’s personality characteristic, and job stress and turnover intention. We also identify the role of the variable of personality characteristic and job stress respectively. We use convenient sampling method to collect data. In pretest, 50 copies of questionnaires are sent to employees of M insurance company, for which 46 valid ones are returned, And then, a total of 220 copies of questionnaires are sent out, of which 176 returned questionnaires are valid. The effective response rate is at 80%. We adopt SPSS to do data analysis and draw conclusions as follows:(1)...
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...The Love-Hate Relationship between the U.S. Healthcare Industry and the U.S. Economy The healthcare industry plays an important part in the economy of the United States. The sustained increase and high level of spending on health care has been the subject of discussion and scrutiny for several decades. The enactment of the Patient Protection and Affordable Care Act of 2010 (ACA) was hardly the first fiscal policy for healthcare in the history of the economy. There is a long list of fiscal policy attempts from predecessors such as Franklin Roosevelt, Harry Truman, Richard Nixon and most recently Bill Clinton (Sparer, p462). In 1933, Franklin D. Roosevelt drafted amended provisions to his pending Social Security legislation to include publicly funded health care programs but ultimately removed the provisions due to opposition by the American Medical Association (Coombs, p5). Following the Second World War, President Harry Truman called for universal health care as a part of his Fair Deal in 1949 but strong opposition stopped that part of the Fair Deal (Peon, p161-168). On July 30, 1965 President Lyndon B. Johnson signed into law the legislation establishing the Medicare and Medicaid program, social insurance programs administered by the United Stated government providing health insurance coverage to people who are either 65 or meet other special criteria for need (Roemer, p845). In October 1972, President Richard Nixon signed the Social Security Administration Amendments...
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...unregulated banking financial institution might be fraught with unmanageable risks for the purpose of maximizing its potential return. In such a situation, the banking financial institutions might find itself in serious financial distress instead of improving its financial health. Consequently, not only the depositors but also the general shareholders will be deprived of their money from the bank. The deterioration of loan quality will also affect the intermediation efficiency of the financial institutions and thus the economic growth process of the country. This establishes the fact that banks should provide increasing emphasis on various analytical tools and techniques for screening proposals and loan decision taking. Credit Worthiness Analysis is one of the most important activities before sanctioning any credit to a new borrower as well as existing borrower to avoid any default risk and for improving the operational efficiency of nationalized and private sector commercial banks. 1.2 Rational of the study: The principal function of the bank is to lend. Lending comprises a very large portion of a bank’s total activities. Sound lending practice therefore, is very important for profitability and success of a bank. Like other financial intermediary, commercial banks also intermediate between the savers and borrower to mobilize the financial surplus of the savers and allocate these savings to the creditworthy borrowers of different sectors of the economy. In this way...
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