â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine
â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine â¢GUIDA ECONOMIA 07-08 - Università degli studi di Udine
186 prospectus udine - A. MEDIO, M. LINES, Nonlinear Dynamics: a Primer, Cambridge University Press, 2001 (numerous copies are available in the Faculty library). Exam Written, multiple choice tests or, whenever suitable, take-home exercises with applications of the iDMC program to economic problems. E-COMMERCE Prof. Luca Chittaro Contents 1. Definition of e-commerce. Classifying e- commerce applications. Business-to- Business (B2B). Business-to-Consumer (B2C). Consumer-to-Consumer (C2C). Intra-business. Case studies. Pros and cons of e-commerce. Portals: horizontal, vertical, meta-portal. Virtual Communities: goals and services. 2. Bricks-and-mortar commerce vs. e-commerce. Analogies and differences. Buyers. Sellers. Characterizing users and the growth of the Internet and the Web. Aspects that are particular to the Italian market. 3. Main steps to start an e-commerce service. Defining goals. Infrastructure aspects. Hosting, housing. Designing and implementing the site. Integrating the site with other services and company activities. 4. Promoting the site. Communication issues on the Web. Site visitors and their needs. Perceived value. Usability. Emotional branding and Rational branding. Other Web branding strategies. 5. Business-to-business (B2B) Applications. Company-centric B2B. From Traditional to Internet-Based EDI. E-Marketplaces and B2B. Extranets. B2B Support Services. 6. Other E-commerce applications. Consumer-to-Consumer (C2C). Dynamic Pricing, Auction. Service Industries, Online Publishing and Knowledge Dissemination. Intrabusiness, e-Government. E-Communities. 7. Mobile Commerce. Wireless and mobile technologies. M-commerce applications. Mobile marketing, advertising and customer service. Location-based commerce. Current limitations of M-commerce. 8. Developing E-commerce services. Infrastructure. Tools. Page design. Web programming. E-Commerce Security. Electronic Payment Systems. Order Fulfilment, Logistics, and Supply Chain Management. 9. User Interfaces for E-commerce applications. Guidelines. E-commerce Interface Design. Recent research trends: user interfaces for 1-to-1 e-commerce, mobile commerce, experiential e-commerce. Bibliography Course Textbook - E. TURBAN, D. KING, J. LEE, D. VIEHLAND, Electronic Commerce 2006: a Managerial Perspective, forth edition, ISBN: 0131854615, Prentice-Hall, 2006. ECONOMECTRICS 1 Prof.ssa Laura Rizzi Aims The aim of the course is to introduce econometric analysis, giving students the methodological tools necessary to formulate and estimate both bivariate and multivariate linear regression models. The focus will be on least squares and maximum likelihood estimation criteria. During the course the students will understand the methods of model specification, the consequences of classical assumption violation, the test to verify the goodness of fit and the restrictions to the model. Thus the course will illustrate the fundamental aspects of econometric analysis, which are useful to understanding further developments on econometric methods treated in other econometric courses.
prospectus udine 187 A good knowledge of matrix algebra, statistical inference and the English language is required. Contents 1. Introduction to econometrics and review Causal effects and experiments. Sources and types of data. Review of probability. Review of statistics. 2. Fundamentals of regression analysis Linear regression with one regressor. Least squares estimation. Inference on model parameters. Linear regression with multiple regressors. Test on composite hypothesis. Test on single restrictions relative to multiple parameters. Non-linear regression functions. Assessing studies based on multiple regression. 3. Further topics in regression analysis. Regression with panel data. Regression with a binary dependent variable. The course will also include computerbased tutorials using Stata 9 software. Bibliography The slides used during lessons will be provided and the recommended course textbook is: - J.H. STOCK, M.W. WATSON, Introduzione all’econometria, Italian edition by F. PER- ACCHI, Pearson Prentice Hall, 2005. Exam The examination will consist of a written exam and a possible presentation or application, at the lecturer’s discretion. basic aspects of time series analysis. In particular, part of this course is dedicated to economic time series analysis and part to econometric theory on regression analysis and to regression with instrumental variables. A good knowledge of matrix algebra, statistical inference and the English language is required. Contents 1. Regression of economic time series Introduction to time series regression and forecasting. Estimation of dynamic causal effects. Additional topics in time series regression. 2. The econometric theory of regression analysis The theory of linear regression with one regressor. The theory of multiple regression. Further analysis on tests for non spherical disturbances. 3. Instrumental variables regression 4. Experiments and quasi-experiments The course will also include computerbased tutorials using Stata 9 software. Bibliography The slides used during lessons will be provided and the recommended course textbook is: - J.H. STOCK, M.W. WATSON, Introduzione all’econometria, Italian edition by F. PER- ACCHI, Pearson Prentice Hall, 2005. Exam The examination will consist of a written exam and a possible presentation or application, at the lecturer’s discretion. ECONOMETRICS 2 Prof.ssa Laura Rizzi Aims The course deals with both the problems related to regression analysis and the ECONOMIC HISTORY (CdL BE, EBA) Prof. Frediano Bof Aims The aim of the course is to give students
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prospectus u<strong>di</strong>ne<br />
187<br />
A good knowledge of matrix algebra, statistical<br />
inference and the English language<br />
is required.<br />
Contents<br />
1. Introduction to econometrics and review<br />
Causal effects and experiments.<br />
Sources and types of data.<br />
Review of probability.<br />
Review of statistics.<br />
2. Fundamentals of regression analysis<br />
Linear regression with one regressor.<br />
Least squares estimation.<br />
Inference on model parameters.<br />
Linear regression with multiple regressors.<br />
Test on composite hypothesis.<br />
Test on single restrictions relative to multiple<br />
parameters.<br />
Non-linear regression functions.<br />
Assessing <strong>stu<strong>di</strong></strong>es based on multiple<br />
regression.<br />
3. Further topics in regression analysis.<br />
Regression with panel data.<br />
Regression with a binary dependent variable.<br />
The course will also include computerbased<br />
tutorials using Stata 9 software.<br />
Bibliography<br />
The slides used during lessons will be<br />
provided and the recommended course<br />
textbook is:<br />
- J.H. STOCK, M.W. WATSON, Introduzione<br />
all’econometria, Italian e<strong>di</strong>tion by F. PER-<br />
ACCHI, Pearson Prentice Hall, 2005.<br />
Exam<br />
The examination will consist of a written<br />
exam and a possible presentation or<br />
application, at the lecturer’s <strong>di</strong>scretion.<br />
basic aspects of time series analysis. In<br />
particular, part of this course is de<strong>di</strong>cated<br />
to economic time series analysis and part<br />
to econometric theory on regression<br />
analysis and to regression with instrumental<br />
variables. A good knowledge of<br />
matrix algebra, statistical inference and<br />
the English language is required.<br />
Contents<br />
1. Regression of economic time series<br />
Introduction to time series regression<br />
and forecasting.<br />
Estimation of dynamic causal effects.<br />
Ad<strong>di</strong>tional topics in time series regression.<br />
2. The econometric theory of regression<br />
analysis<br />
The theory of linear regression with one<br />
regressor.<br />
The theory of multiple regression.<br />
Further analysis on tests for non spherical<br />
<strong>di</strong>sturbances.<br />
3. Instrumental variables regression<br />
4. Experiments and quasi-experiments<br />
The course will also include computerbased<br />
tutorials using Stata 9 software.<br />
Bibliography<br />
The slides used during lessons will be<br />
provided and the recommended course<br />
textbook is:<br />
- J.H. STOCK, M.W. WATSON, Introduzione<br />
all’econometria, Italian e<strong>di</strong>tion by F. PER-<br />
ACCHI, Pearson Prentice Hall, 2005.<br />
Exam<br />
The examination will consist of a written<br />
exam and a possible presentation or<br />
application, at the lecturer’s <strong>di</strong>scretion.<br />
ECONOMETRICS 2<br />
Prof.ssa Laura Rizzi<br />
Aims<br />
The course deals with both the problems<br />
related to regression analysis and the<br />
ECONOMIC HISTORY<br />
(CdL BE, EBA)<br />
Prof. Fre<strong>di</strong>ano Bof<br />
Aims<br />
The aim of the course is to give students
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