(Economics) Collection of Data



πŸ“˜(Economics) Collection of Data 


πŸ” 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.


πŸ“‚ 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.

🧭 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

πŸ“ Methods of Collecting Primary Data

  1. Direct Personal Investigation

    • Face-to-face interaction
    • Accurate but time-consuming
    • Best for small-scale inquiries
  2. Indirect Oral Investigation

    • Information from witnesses or experts
    • Useful for sensitive issues or crimes
  3. Information from Local Correspondents

    • Data collected regularly by local agents
    • Quick but may be less reliable
  4. Mailed Questionnaire Method

    • A set of questions sent via post or email
    • Cost-effective but may get low response rate
  5. Schedules Filled by Enumerators

    • Trained investigators ask questions and fill forms
    • Useful in large-scale surveys (e.g., population census)

🧾 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

πŸ“Š Qualitative and Quantitative Data

  • Quantitative: Measurable in numbers (e.g., income, price)
  • Qualitative: Descriptive, not in numbers (e.g., gender, caste)

🎯 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

πŸ“Œ 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.

πŸ“’ Key Terms

  • Population/Universe: Total items under study.
  • Sample: A part of the population chosen for study.
  • Enumerator: Person collecting data through schedules.

πŸ“š 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.



Comments

Popular posts from this blog

Question and answer pairs based on the story "The Lantern of Eldervale"

The Lantern of Eldervale

The Rise and Fall of the Maurya Empire