event

Seminar Statistics and Census Service (DSEC) – Statistics Seminar

28

Apr

The Faculty of Business and Law and the Statistics and Census Service (DSEC) are hosting “Seminar Statistics and Census Service (DSEC) – Statistics Seminar” on Thursday, April 28, 2022.



SEMINAR OUTLINE

  1. Introduction to official statistics
    • Statistics and Census Service (DSEC) and Monetary Authority of Macao (AMCM)
    • Surveys and data sources
    • Statistical confidentiality
      • Purpose
      • Regulations
      • Refusal to disclose personal information to third party
      • Analysis, summary
      • Topic discussion
  2. Introduction
    • Gross Domestic Product
      • Introduction to GDP
      • What does GDP reflect?
      • What doesn’t GDP reflect? 
      • Nominal change v.s. real change
      • GDP computation methods
        • Expenditure approach
        • Production approach
        • Difference between expenditure approach and production approach
      • The economic development of Macao from the perspective of GDP
        • Domination of the secondary industry from the mid-1960s to the 1980s
        • Emergence of the tertiary industry from the end of the 1980s to the 1990s
        • Gaming boom from 2002 – 2013 
        • Adjustment period from 2014 – 2017 
        • Impact of the epidemic on Macau GDP
  3. Obtaining data
    • DSEC website
      • Databases (including Statistical Databases, External Merchandise Trade Statistics Database and Visitor Statistics Database)
      • Guangdong-Hong Kong-Macao Greater Bay Area page
      • Statistics E-learning
      • Online Customer Service Desk
    • WeChat public account
    • Mobile APP
    • Documentation and Information Center

This seminar shall be delivered by Technicians of the Division of Promotion & Data Dissemination of the DSEC – Ms. Liza Yu and Mr. Wilson Fong.


DETAILS:

Date: Thursday, 28 April 2022
Time: 13:00 – 14:00 
Location: Don Bosco Auditorium, USJ Ilha Verde Campus

Organised by: Faculty of Business and Law and Statistics and Census Service

Language: Cantonese

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