Econometrics combines economic theory, mathematics, and statistical analysis to measure and quantify the relationships between economic variables. It has an interdisciplinary nature and is used for empirical analysis, model building, policy evaluation, forecasting, academic research, and business decision making. Econometrics employs statistical analysis, causal inference, and quantitative methods to analyze economic data, test economic theories, and evaluate economic policies.

1. NATURE & SCOPE OF
ECONOMETRICS
Submitted by :- Lakshay Dagar Submitted to:-
22L9MBA34104 Dr. Parul
Bhatia

2. INTRODUCTION TO ECONOMETRICS
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Econometrics is a branch of economics that applies
statistical and mathematical methods to analyze
economic data and test economic theories. It combines
economic theory, mathematics, and statistical analysis to
measure and quantify the relationships between
economic variables.

3. NATURE OF ECONOMETRICS
•Interdisciplinary
•Empirical Analysis
•Quantitative Methods
•Model Building
•Dynamic Nature
•Policy Relevance
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4. SCOPE
•Statistical Analysis
•Causal Inference
•Policy Evaluation
•Forecasting
•Financial Analysis
•Academic Research
•Business Decision
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6. TIME SERIES DATA
 Time series data is a sequence of
observations collected at regular intervals
over time.
 Common examples of time series data
include stock prices, economic indicators
such as GDP and unemployment rates,
weather data, and energy consumption data.
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7. CROSS SECTIONAL DATA
• Cross-sectional data refers to data
collected from a group of individuals,
firms, or other entities at a specific point
in time.
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8. PANEL DATA
• Panel data combines features of both
cross-sectional and time series data and
allows for the examination of both individual
and time effects on the dependent variable.
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9. THANK YOU
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