14-10-12 下午1:09 ECON-3740 Introduction to Econometrics - Fall‚ 2014 Instructor: D Prescott Due date: Thursday‚ 16 October‚ 3pm Submit Reports to D Prescott’s Office‚ Room 733 MacKinnon Report #1 - Instructions. No reports will be accepted after the deadline. Please submit what you have completed by the deadline. See the course web page for additional information on programming and spreadsheet hints. BE SURE TO USE THE DATA SET ASSIGNED TO YOU Grades will be assigned to each section. The
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Human resource development and Africa’s economic growth: Perspectives for policy planning in Kenya. Unpublished Ph.D. dissertation‚ University of Illinois at Urbana-Champaign. 10 11. Granger‚ C.W.J.‚ (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica‚ 37 (3)‚ 424–438. 12 13. Johnson‚ H. G. (1958). International Trade and Economic Growth. Cambridge: Harvard University Press. 14 15. Johansen‚ S. and Juselius‚ K. (1990). Maximum Likelihood Estimation
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1. Introduction * Explain how it is possible to estimate the partial effect of the exogenous variables‚ even if ceteris paribus assumption is false. We can estimate the partial effect of the exogenous variables‚ even if ceteris paribus assumption is false. It is possible by estimating parameters of the linear model. It let us get results‚ which we could obtain by comparing observations which do differ in values of one explanatory variable. That way we can estimate the effect on variable yicausedby
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ECON3050 – Econometrics II In-course Project Table of Contents Introduction 3 Literature Review 4 Analysis 5 Conclusion 8 Appendix 9 Introduction The purpose of this project is to investigate the co-movements of Jamaica and Trinidad and Tobago Treasury bill rates‚ as well as to investigate whether the US Treasury bill rate Granger Cause the movement of the Treasury bill rates of both Caribbean islands. To study the co-movements between the
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Conclusions 28 7. Bibliography 29 Abstract In this project we will present relation that exist among GDP and other sectors of economy such as Agriculture‚ Industry‚ Construction and Services. Methodology that is used is based on the building of an econometric model that use GDP as dependent variable and economic sectors that we mentioned as independent variables. Institute of statistic is the source of the data that are used in our project. The aim of this job is to show the importance of these model
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Modeling Gasoline Demand in the United States Economics 375 DePaul University‚ Chicago‚ IL 60601 June 13‚ 2012 Abstract This paper is an econometric approach to the estimation of price and income elasticities of gasoline demand in the United States from a translog model‚ and is based off of the most recent data available for use. This approach allows for variables to interact in a flexible yet instrumental way‚ providing for significant evidence that gasoline demand elasticities are construed
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“The Philippines country case study” by Rhona B. Caoli-Rodriguez (2007). This paper reviews major policy reforms and programs implemented by the Philippine government in connection with its commitment to EFA 2015 Goals and the country’s progress towards attaining them. The review covers the period starting 2000‚ when the WEF was convened in Dakar‚ to the present. A backgrounder on the Philippine educational system is presented to contextualize subsequent discussions. The main part of this paper
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INTRODUCTORY ECONOMETRICS Lectures 1 & 2 Statistics for Econometrics POPULATION AND SAMPLE Population – the group of ALL people or objects that are under study Sample – a sub-set of the population Parameter – a numerical characteristic of a population 1. Population & Sample Means 2. Expected Values 3. Population & Sample Variances 4. Population & Sample Covariances 5. Population & Sample Correlation Coefficients 6. Estimators Statistic – a numerical characteristic of a sample
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ECONOMETRIC ANALYSIS. INDEX: - Introduction..................................................................................3 -Background....................................................................................8 -Empirical Analysis.........................................................................9 -Conclusion.....................................................................................31 -Bibliography.............................................................
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University of Hong Kong Introductory Econometrics (ECON0701)‚ Fall 2013 22 November 2013 Further Issues in Using OLS with Time Series Data • Last time‚ we discussed the assumptions necessary for OLS parameter estimates to be consistent in a time series context. • We also compared these assumptions with the assumptions necessary for OLS to be unbiased. • In general‚ the conditions are more restrictive for OLS to be unbiased than for OLS to be consistent‚ so in a time series context‚ it
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