scorecard to best fit the needs of management‚ specifically‚ how fast to change it and how best to use it to focus management attention in the future. BACKGROUND Analog Devices was founded in 1965 in Cambridge‚ Massachusetts‚ by Ray Stata and Matthew Lorber. Stata had a B.S.E.E. and an M.S.E.E.‚ both from MIT. In 1996 the company operated predominantly in one industry segment: the design‚ manufacture and marketing of a broad line of high-performance linear‚ mixed-signal‚ and digital integrated circuits
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Anlage 2: Description of the Modules Synopsis of the modules in the Master’s Degree Program in Economics and Management Science (MEMS) Mandatory Modules Study Points Advanced Microeconomics or Advanced Microeconomics 1 (PhD-level) Advanced Macroeconomics General Management 6 Mandatory Elective Modules in Economics Study Points Applied Macroeconomics: Monetary and Fiscal Policy Labour Markets and Social Policy Advanced Labour Economics Current Issues in Macroeconomics Topics
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CENTRE FOR DEVELOPMENT STUDIES AFFILIATED TO JAWAHARLAL NEHRU UNIVERSITY‚ NEW DELHI M.A. APPLIED ECONOMICS RECRUITMENT GUIDE 2013-14 1 ABOUT CDS Set up in 1971 by the renowned economist‚ Late Professor Kakkadan Nandanath Raj‚ the Centre for Development Studies (CDS) is an internationally renowned‚ selfgoverning institution known for its cutting edge research in applied economics and topics germane to socio-economic development‚ impeccable pedagogy‚ and extensive and exhaustive training
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Multicollinearity What multicollinearity is. Let H = the set of all the X (independent) variables. Let Gk = the set of all the X variables except Xk. The formula for standard errors is then 2 s 1 − RYH * y 2 (1 − RX k Gk ) * ( N − K − 1) s X k sbk = = 2 s 1 − RYH * y Tolk * ( N − K − 1) s X k = Vif k * 2 s 1 − RYH * y ( N − K − 1) s X k The bigger R2XkGk is (i.e. the more highly correlated Xk is with the other IVs in the model)‚ the bigger the standard error will be. Indeed‚ if
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NAME: RANJEETA BHATTACHARYA SUBJECT: ADVANCED ECONOMETRICS TERM PAPER COURSE INSTRUCTOR: PROF. K.L.KRISHNA TOPIC: THE BIRTH RATE AND ECONOMIC DEVELOPMENT: AN EMPIRICAL STUDY OF DEVELOPING COUNTRIES SUBMISSION DATA: 17/11/2010 INTRODUCTION The birth rate has long interested economists as well as demographers. In recent years the emphasis of research by the members of both professions has been on the facts and their consequences for economic welfare. It has been agreed almost by every observer
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DISCUSSION PAPER SERIES IZA DP No. 4105 Occupational Choice: Personality Matters Roger Ham P.N. (Raja) Junankar Robert Wells April 2009 Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor Occupational Choice: Personality Matters Roger Ham University of Western Sydney P.N. (Raja) Junankar University of Western Sydney and IZA Robert Wells University of Western Sydney Discussion Paper No. 4105 April 2009 IZA P.O. Box 7240 53072 Bonn Germany Phone:
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on duty (sales_per) has a significant impact on the number of cars sold (num_cars). The dataset is assumed to be in the file name Problem4.csv. It is assumed to be located in the working directory C:\Users\LBYACC2\Problem4. REQUIREMENT: Provide ALL STATA commands necessary to input the data and to create the regression model as well as all necessary tests of robustness for the model. Be sure to store the results in a log file with the following file name “Name_Quiz3_Problem4.” 5. Use the following
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Homework-3 solution Research Methodology 1.The following table gives data on imports‚ GDP and the Consumer Price Index(CPI) for the United states over the period 1970-1998. You are asked to consider the following model: Ln(Imports)t=[pic] a. Estimate the parameters of this model using the data given in the table. b. Do you suspect that there is multicollinearity in the data? Table: US Imports‚ GDP and CPI‚ 1970-1998 |Observation |CPI |GDP
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The linear probability model‚ ctd. When Y is binary‚ the linear regression model Yi = β0 + β1Xi + ui is called the linear probability model. • The predicted value is a probability: • E(Y|X=x) = Pr(Y=1|X=x) = prob. that Y = 1 given x • Yˆ = the predicted probability that Yi = 1‚ given X • β1 = change in probability that Y = 1 for a given ∆x: Pr(Y = 1 | X = x + ∆x ) − Pr(Y = 1 | X = x ) β1 = ∆x 5 Example: linear probability model‚ HMDA data Mortgage denial v. ratio of debt payments to income (P/I
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NIGERIA: AN ECONOMETRIC ANALYSIS UCHE‚ GEORGE EWA 2011 IMPACT OF MACROECONOMIC VARIABLES ON STOCK PRICES IN NIGERIA: AN ECONOMETRIC ANALYSIS UCHE‚ GEORGE EWA 2007/147949 Being a research project submitted to the Department of Economics‚ in partial fulfillment of the requirements for the award of a Bachelor of Science Degree in Economics. AUGUST‚ 2011 i APPROVAL PAGE This research work on the topic‚ “IMPACT OF MACROECONOMIC VARIABLES ON STOCK PRICES IN NIGERIA: AN ECONOMETRIC ANALYSIS”
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