(Economics) Collection of Data
π(Economics) Collection of Data
π Introduction
Data is essential for statistical analysis. In economics, we collect data to study economic problems, trends, and policy impacts. Chapter 2 focuses on how data is collected, including its types, sources, and methods.
π Types of Data
1. Primary Data
- Data collected firsthand by the investigator.
- Original and specific to the purpose.
- Example: A survey conducted by a researcher.
2. Secondary Data
- Data already collected and published by others.
- Less time-consuming and less expensive.
- Example: Data from Census of India, RBI reports, NSSO, etc.
π§ Sources of Data
✅ Primary Data Sources:
- Surveys
- Direct interviews
- Questionnaires
- Observations
✅ Secondary Data Sources:
- Government publications
- Reports of organizations (e.g., NSSO, CSO)
- Internet databases
- Newspapers and magazines
π Methods of Collecting Primary Data
-
Direct Personal Investigation
- Face-to-face interaction
- Accurate but time-consuming
- Best for small-scale inquiries
-
Indirect Oral Investigation
- Information from witnesses or experts
- Useful for sensitive issues or crimes
-
Information from Local Correspondents
- Data collected regularly by local agents
- Quick but may be less reliable
-
Mailed Questionnaire Method
- A set of questions sent via post or email
- Cost-effective but may get low response rate
-
Schedules Filled by Enumerators
- Trained investigators ask questions and fill forms
- Useful in large-scale surveys (e.g., population census)
π§Ύ Difference Between Questionnaire and Schedule
Feature | Questionnaire | Schedule |
---|---|---|
Who fills it? | Respondent | Enumerator |
Literacy needed? | Yes | No |
Cost | Low | High |
Accuracy | May vary | Usually better |
π Qualitative and Quantitative Data
- Quantitative: Measurable in numbers (e.g., income, price)
- Qualitative: Descriptive, not in numbers (e.g., gender, caste)
π― Census vs. Sample Survey
Feature | Census | Sample Survey |
---|---|---|
Coverage | Whole population | Selected group |
Cost | High | Low |
Time required | More | Less |
Accuracy | Very high if properly done | Can be good with proper sampling methods |
π Errors in Data Collection
- Sampling Error: Due to selecting only a part of the population.
- Non-sampling Error: Mistakes in data recording, question framing, etc.
π Key Terms
- Population/Universe: Total items under study.
- Sample: A part of the population chosen for study.
- Enumerator: Person collecting data through schedules.
π Conclusion
Proper data collection is the foundation of accurate economic analysis. Understanding different methods and sources helps in selecting the best approach for any investigation.
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