Economic and Social Clasifications: Methodology and Applications

This course offered at IRES is designed to provide participants with a deep understanding of how economic and social classifications are developed and applied in policy, research, and development contexts.

This course covers the methodologies used to classify economies and societies based on income, occupation, education, and other social factors.

Participants will explore the importance of these classifications in economic planning, social policy development, and data analysis.

Through real-world applications, case studies, and hands-on exercises, participants will learn how to apply classification systems such as ISIC (International Standard Industrial Classification) and ISCO (International Standard Classification of Occupations) to achieve accurate and meaningful research, policy, and organizational strategy results.

Course Duration

5 Days

Who Should Attend

1. Economists,
2. Social scientists
3. Statisticians
4. Policymakers
5. Data analysts
6. Professionals involved in social and economic research or planning.

Personal Impact

1. Gain advanced knowledge of economic and social classification systems.
2. Improve research, data analysis, and policy formulation using classification methodologies.
3. Enhance your ability to interpret and apply economic and social development classification data.

Organizational Impact

1. Improved use of standardized classifications in policy development and implementation.
2. Enhanced decision-making based on accurate social and economic classification data.
3. Better alignment of organizational strategies with economic and social realities.

Course Objectives:

1. Understand the principles and methodologies behind economic and social classifications.
2. Apply international classification systems, such as ISIC and ISCO, in various contexts.
3. Analyze and interpret classification data to inform policy and research.
4. Use classification methodologies to assess economic sectors, social groups, and income levels.
5. Design and implement classification-based research or policy initiatives.

Course Outline

Module 1: Introduction to Economic and Social Classifications

1. Overview of classification systems and their importance
2. Principles and objectives of economic and social classifications
3. Key global classification systems (e.g., ISIC, ISCO, SNA)
4. Case Study: Application of ISIC in sectoral economic planning

Module 2: Methodologies in Economic Classifications

1. Developing and updating economic classification systems
2. Classifying industries, sectors, and economic activities
3. Measuring income distribution and poverty levels
4. Practical Exercise: Using ISIC to classify sectors in a national economy

Module 3: Social Classifications and Their Applications

1. International Standard Classification of Occupations (ISCO)
2. Classifying occupations, education levels, and social groups
3. Social stratification and inequality analysis
4. Case Study: Application of ISCO in labor market analysis

Module 4: Data Collection and Analysis for Economic and Social Classifications

1. Data sources and collection methodologies for classifications
2. Using surveys, censuses, and administrative data for classification
3. Analyzing classification data using statistical software
4. Practical Exercise: Analyzing social classifications using census data

Module 5: Policy and Strategic Applications of Classifications

1. Using classifications in economic policy development and social planning
2. Monitoring and evaluating social programs based on classification data
3. Case Study: Classification-driven policies for reducing inequality
4. Real-life Project: Developing a classification-based policy framework for your organization

Related Courses

1. EViews — Advanced Time Series Econometrics Training Course
2. Financial Econometrics Using Stata Training Course
3. Panel Data Analysis using Stata Training Course
4. Quasi Score-Driven Models Training Course
5. Prices Statistics and Index Numbers Training Course
6. EViews— Time Series Econometrics Training Course

Course Administration Details

Methodology

Instructor-led training is delivered using a blended learning approach and comprises presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. Therefore, the participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued an IRES certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held virtually and at our training centre.

The course fee covers the course tuition, training materials, two break refreshments, and lunch.

All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

In addition to our virtual training, we offer training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru, and Naivasha) and at the following locations:

1. Dubai - United Arab Emirates
2. Cairo - Egypt
3. Johannesburg, Pretoria, and Cape Town - South Africa
4. Zanzibar, Dar-es-Salaam, and Arusha - Tanzania
5. Kigali - Rwanda
6. Accra - Ghana
7. Kampala - Uganda

Accommodation and Airport Transfer

Upon request, we can arrange accommodation and airport transfer to suit your needs and requirements.

For bookings and reservations, kindly contact us at:

• Email: [email protected]
• Phone: +254715 077 817

Tailor-Made Program

Upon request, we can also customize this training to suit either your needs or your organization's. 

You can have it delivered virtually, online self-paced, face-to-face at our training locations, or your convenient location.

For further inquiries, please contact us.