Does Saving really matter for Growth in Developing Countries? The Case of a Small Open Economy Olajide S. Oladipo, PhD Department of Economics and Finance School of Business, Medgar Evers College 1637 Bedford Avenue, Brooklyn, NY 11225 Email: ooladipo@ mec.cuny.edu Abstract The study employed the Toda and Yamamoto (1995) and Dolado and Lutkepohl (1996) – TYDL- methodology to uncover the direction of causal relationship between savings and economic growth in Nigeria between 1970 and 2006. The
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e r One The Nature of Econometrics and Economic Data C hapter 1 discusses the scope of econometrics and raises general issues that result from the application of econometric methods. Section 1.3 examines the kinds of data sets that are used in business, economics, and other social sciences. Section 1.4 provides an intuitive discussion of the difficulties associated with the inference of causality in the social sciences. 1.1 WHAT IS ECONOMETRICS? Imagine that you are hired by your
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and econometric models. In descriptive analysis, from the sample households, the level of household income diversification in rural Ethiopia is 39%.Income diversification of households based on share of income from each sources show that, the share of crop income takes the highest share which accounts 45% of the total household income followed by livestock income which accounts 41% of the total income. The remaining 14% of the household income generates from off-farm activity. In econometrics model
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International Journal of Business and Society, Vol. 11 No. 2, 2010, 35 - 50 THE EFFECTS OF MACROECONOMIC EVILS ON PROPERTY AND VIOLENT CRIMES IN MALAYSIA Chor Foon Tang♣ University of Malaya ABSTRACT The main objective of this study is to investigate the effects of macroeconomic evils – unemployment and inflation on different categories of crime rates – property and violent crimes in Malaysia via the multivariate Johansen-Juselius and Granger causality techniques. This study used annual
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even if several environmental standards are controlled. We expect to see some significant determinants of FDI inflow in order to either agree or reject the pollution haven hypotheses. Contents 1 Introduction 2 The Two Hypotheses 3 Data Set 4 Econometric Model and Results 4.1 Linear Regression Model (OLS) . . . . . . . . . . . . . . . . . 4.2 Assumptions of Gauss-Markov-Theorem . . . . . . . . . . . . 4.3 Chow Test for Structural Break . . . . . . . . . . . . . . . . . 5 Conclusion A Appendix A
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CHAPTER ONE 1.1 INTRODUCTION A casual look at the published empirical work in business and econometric will reveal that many economic relationships are of single –equation type. In such models, one variable (the dependent variable Y) is expressed as a linear function of one or more other variables (the explanatory variables, the X’s). An implicit assumption is that the cause and effect relationship, if any , between Y and X’s is unidirectional. The explanatory variables are the cause and the
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Applied Econometrics BE5103 Tutorial 1 Q1 a) In the simple OLS regression estimation it is not possible that all actual independent Yi values lie above the estimated regression line. This is because OLS minimizes SUM ê2 , the residual , ê, is the difference between the actual Yi and the predicted Yi and has zero mean. In other words, OLS calculates the slope coefficient so that the difference between the predicted Yi and actual Yi is minimized. The OLS estimates of the βs: Are unbiased – the
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On the Relationship between stock return and exchange rate: evidence on China Yaqiong Li a b , Lihong Huang b a b The Business School, Loughborough University ,UK College of Mathematics and Econometrics, Hunan University, Changsha ,Hunan ,China Abstract The purpose of this paper is to investigate the relationship between RMB exchange rate and A-share stock returns in China, in particular in Shanghai stock market. We find that both stock returns and RMB nominal exchange rate are integrated
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Boston College Economics The Stata Journal (yyyy) Working Paper Number ii, pp. 1–38 vv, No. 667 Enhanced routines for instrumental variables/GMM estimation and testing Christopher F. Baum Mark E. Schaffer Boston College Heriot–Watt University Steven Stillman Motu Economic and Public Policy Research Abstract. We extend our 2003 paper on instrumental variables (IV) and GMM estimation and testing and describe enhanced routines that address HAC standard errors, weak instruments, LIML and k-class estimation
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as leading, coincident or lagging indicators is known as: a. | econometric technique | b. | time-series forecasting | c. | opinion polling | d. | barometric technique | e. | judgment forecasting | 3. The use of quarterly data to develop the forecasting model Yt = a +bYt1 is an example of which forecasting technique? a. | Barometric forecasting | b. | Time-series forecasting | c. | Survey and opinion | d. | Econometric methods based on an understanding of the underlying economic variables
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