Introduction Malaysia is centrally located in the ASEAN region with a population of more than 500 billion people‚ Malaysia offers vast opportunities for global automotive and component manufacturers to set up manufacturing and distribution operations in the country. The rapid growth of the economy and the high purchasing power of its population have made Malaysia the largest passenger car market in ASEAN. At the same time‚ the establishment of national car projects‚ PROTON and PERODUA‚ has transformed
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Basic Estimation Techniques In order to implement the various techniques discussed in this class‚ the students must be able to determine the mathematical relation between the economic variables that make up the various functions used in economicsdemand functions‚ production functions‚ cost functions‚ and others. For example‚ a manager often must determine the total cost of producing various levels of output. As you will see later‚ the relation between total cost (C) and quantity
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Uttam Kumar Dey Marketing Analytics Assignment 3 Part 1 Do box office rankings affect a movie’s long-term box office performance? To understand the effect of a movie’s box office rankings has on its box office performance‚ Nonlinear Estimation models can be used to interpret the relationships and make recommendations. First‚ let us familiarize ourselves with the relationship‚ in the movies database‚ we are trying to analyze. This relationship is as below: Subsequent Earnings = b0*exponential(b1*ReleaseRank)
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Carleton University Department of Economics ECON 2202 C Statistical Methods in Economics and Business II 2013 Winter Instructor: Valerie Rochester Classes: Monday and Wednesdays ‚ 8:35 am – 9:55 am Tutorials: Wednesday‚ 10:05 am – 11:25 am Office: B-840 Loeb Phone: 613-520-2600 ext. 3769 (no voice mail) Office Hours: Wednesdays‚ 10:15 am – 11:00 noon‚ or by appointment E-mail: valerie_rochester@carleton.ca Please use the cuLearn e-mail facility for all course-related
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Roles of School Heckman‚ J.‚ Hidehiko I.‚ and Todd‚ P. (1997). Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme Heckman‚ J.‚ Hidehiko I.‚ Jeffrey S.‚ and Todd‚ P. (1996) Sources of Selection Bias in Evaluation Social Programs: An Interpretation of Conventional Measures and Evidence on the Effectiveness Heckman‚ J.‚ Hidehiko I.‚ and Todd‚ P. (1998b.) Matching as an Econometric Evaluation Estimator Jimenez‚ E. and Sawada‚ Y. (1998). Do community-managed
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Financial Econometrics Modeling and Forecasting Natural Gas Prices Abstract In this project we will model and forecast the natural gas prices over the short-term through the development of the Error Correction Model (ECM). This is presented as the best predictive model among various alternatives. To build this model‚ we gathered the oil prices to analyze the impact of the changes in these prices on the changes in natural gas prices. The results of the forecasting exercise‚ carried out
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Analysis of Financial Time Series Third Edition RUEY S. TSAY The University of Chicago Booth School of Business Chicago‚ IL A JOHN WILEY & SONS‚ INC.‚ PUBLICATION Analysis of Financial Time Series WILEY SERIES IN PROBABILITY AND STATISTICS Established by WALTER A. SHEWHART and SAMUEL S. WILKS Editors: David J. Balding‚ Noel A. C. Cressie‚ Garrett M. Fitzmaurice‚ Iain M. Johnstone‚ Geert Molenberghs‚ David W. Scott‚ Adrian F. M. Smith‚ Ruey S. Tsay‚ Sanford Weisberg Editors Emeriti:
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account data from set countries in year 2007‚ the year that indicates the entrance period of 2008 world economic crisis. The objective is to evaluate the impact of these independent variables on the total private domestic consumption through the econometrics tools for these set countries‚ which have been randomly chosen in function of the world geography repartition. In addition‚ we want to describe the economic relationship between those variables. For example according to Keynesian model‚ aggregate
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THE IMPACT OF MACROECONOMIC FACTORS ON NONPERFORMING LOANS IN THE KENYAN BANKING INDUSTRY. MAKUSA GEORGE MAWILI HD 335-40-0284/2012 JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLGY Email;mawiligeorge@yahoo.com Phone No. +254 0728 165 416 Abstract This study aimed to investigate the effect of macroeconomic factors on the performance of nonperforming loans in the Kenyan commercial Banking industry. The research methodology adopted was a simple time series analysis design that assisted
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Data The variables of interest are oil imports to Germany‚ and temperature in Germany. The latter is used as a leading indicator for the former‚ to improve on the forecast obtained by the univariate model. Both variables are collected over a time range from January 1985 until and including December 1997‚ whereas the last year is not used for constructing the optimal forecast‚ obtained by fitting a model through the data until the end of 1996. This will enable us to forecast the year 1997 using
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