MBA Programs with multivariate as Tag

Introductory econometrics Course at University of Hong Kong

ECON0701 Introductory econometrics

Semester : 1 & 2
For Student of Year : 2

Econometrics is the branch of economics that formulates statistical methodology for use in analyzing economic data. Consequently, the objective of this course is to prepare students for basic empirical work in economics. In particular, topics will include multiple regression analysis, statistical inference and hypothesis testing, functional form specification, time series models, and limited dependent variable models. Students will have the opportunity to use actual economic data to test economic theories.

Extra Information

Pre-requisite: ECON1003 Analysis of economic data or STAT0301 Elementary statistical methods or STAT0302 Business statistics or STAT1301 Probability & statistics I or STAT1306 Introductory statistics
Mutually exclusive courses: STAT2301 Linear statistical analysis, STAT2314 Business Forecasting, STAT2804 Linear models and forecasting, STAT3301 Time-series analysis or STAT3302 Multivariate data analysis.

PhD in Information Systems at School of Business and Management (HKUST)

Hong Kong University of Science and Technology (HKUST)
Information Systems

The Department of Information Systems, Business Statistics and Operations Management (ISOM) consists of two divisions: Information Systems and Operations Management. The Department was ranked 12th in research productivity worldwide based on publications in the top Information Systems and Operations Management journals by INFORMS.

Faculty members of the Information Systems (IS) division are on the editorial boards of the top IS journals and hold prominent positions on the Councils of the Association for Information Systems and the International Telecommunications Society. Our students have gone on to academic positions in Australia, Hong Kong, Singapore, UK, and the USA.

The research foci of the IS division are:

Behavioral Research: The primary interest is in studying the management of information technology (IT) and the use of IT for managerial and organizational purposes. The research examines more than just the technological system or just the social system; it investigates the phenomena that emerge when the two interact. Examples include human-computer interaction, user acceptance of IT innovations, IT strategy, electronic communities, e-government, e-commerce, and telecommunications policy. The methodologies employed are surveys, experiments, and field studies. PhD students will need to take courses in psychology, organizational behavior, survey design, experimental design, multivariate statistics, etc. Prospective students with excellent analytical ability and good proficiency in English are preferred.

Analytical and Empirical Modeling: Economics has contributed to the theoretical richness and methodological rigor of IS research. Examples include information economics, the economics of electronic commerce, economic models for the impact of IT on organizations and markets, and supply and demand of IT. This interdisciplinary collaboration will help resolve many difficult IS issues. The research methodologies are analytical and empirical modeling. PhD students interested in the area need to take courses in game theory, industrial organization, price theory, econometrics, etc. Prospective students with a strong quantitative academic background are preferred.