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Index Numbers in Economics
1. Introduction
π Index numbers are statistical measures that track changes in variables over time.
- Used to measure inflation, cost of living, stock prices, and economic growth.
- Expresses relative changes as percentages, making comparisons easy.
β Example: The Consumer Price Index (CPI) measures inflation by tracking the price level of consumer goods over time.
2. Types of Index Numbers
πΉ (1) Price Index Numbers
β Measures changes in the price level of goods and services over time.
β Examples:
- Consumer Price Index (CPI) β Measures the cost of living.
- Wholesale Price Index (WPI) β Measures wholesale market price changes.
πΉ (2) Quantity Index Numbers
β Tracks changes in the physical quantity of goods produced or sold.
β Example: Industrial Production Index (IPI), which measures manufacturing output.
πΉ (3) Value Index Numbers
β Measures total value changes (Price Γ Quantity).
β Example: GDP Deflator, which adjusts nominal GDP for inflation.
π Formula: Value Index=βP1Q1βP0Q0Γ100\text{Value Index} = \frac{\sum P_1 Q_1}{\sum P_0 Q_0} \times 100
where:
- P1,Q1P_1, Q_1 = Price and quantity in the current year.
- P0,Q0P_0, Q_0 = Price and quantity in the base year.
3. Methods of Constructing Index Numbers
πΉ (1) Simple Aggregative Method
β Compares total prices of a group of items in different years.
π Formula: PI=βP1βP0Γ100P_I = \frac{\sum P_1}{\sum P_0} \times 100
β Example: If the total price of goods in 2025 is βΉ1200 and in the base year (2020) was βΉ1000, PI=12001000Γ100=120P_I = \frac{1200}{1000} \times 100 = 120
β Interpretation: Prices have increased by 20% since 2020.
πΉ (2) Simple Average of Price Relatives Method
β Calculates price changes of individual goods and takes their average.
π Formula: PI=βP1P0Γ100NP_I = \frac{\sum \frac{P_1}{P_0} \times 100}{N}
β Example: If rice price rose from βΉ20 to βΉ25 and wheat from βΉ30 to βΉ33, Price=2520Γ100=125,Pwheat=3330Γ100=110P_{\text{rice}} = \frac{25}{20} \times 100 = 125, \quad P_{\text{wheat}} = \frac{33}{30} \times 100 = 110 PI=125+1102=117.5P_I = \frac{125 + 110}{2} = 117.5
β Interpretation: Average price increase of 17.5%.
πΉ (3) Weighted Index Numbers
β Gives importance to items based on their significance.
(i) Laspeyresβ Index (Base Year Weights)
π Formula: PL=βP1Q0βP0Q0Γ100P_L = \frac{\sum P_1 Q_0}{\sum P_0 Q_0} \times 100
β Uses base year quantities as weights.
β Pros: Simple to calculate.
β Cons: Overestimates price changes if consumption patterns change.
(ii) Paascheβs Index (Current Year Weights)
π Formula: PP=βP1Q1βP0Q1Γ100P_P = \frac{\sum P_1 Q_1}{\sum P_0 Q_1} \times 100
β Uses current year quantities as weights.
β Pros: Adjusts for changing consumption.
β Cons: Harder to compute due to varying weights.
(iii) Fisherβs Ideal Index
π Formula: PF=PLΓPPP_F = \sqrt{P_L \times P_P}
β Geometric mean of Laspeyres and Paasche indices.
β Most accurate as it balances both weightings.
4. Special Types of Index Numbers
πΉ (1) Consumer Price Index (CPI)
β Measures changes in the cost of living for consumers.
β Used to calculate inflation and adjust salaries.
β Formula: CPI=βP1Q0βP0Q0Γ100CPI = \frac{\sum P_1 Q_0}{\sum P_0 Q_0} \times 100
β Example: If the CPI in 2020 was 100 and in 2025 it is 120, inflation is 20%.
πΉ (2) Wholesale Price Index (WPI)
β Measures price changes at the wholesale level before they reach consumers.
β Used by policymakers to track inflation trends.
πΉ (3) GDP Deflator
β Measures overall inflation in an economy.
β Formula: GDP Deflator=Nominal GDPReal GDPΓ100\text{GDP Deflator} = \frac{\text{Nominal GDP}}{\text{Real GDP}} \times 100
β Example: If nominal GDP = βΉ200 trillion and real GDP = βΉ180 trillion, GDP Deflator=200180Γ100=111.1\text{GDP Deflator} = \frac{200}{180} \times 100 = 111.1
β Interpretation: Prices have increased by 11.1% since the base year.
5. Uses and Importance of Index Numbers
β Inflation Measurement β Used in setting interest rates and wages.
β Cost of Living Adjustments β Helps adjust pensions and salaries.
β Stock Market Analysis β Stock indices like NIFTY, SENSEX, S&P 500 track stock performance.
β Economic Policy Making β Used by governments to decide monetary and fiscal policies.
6. Limitations of Index Numbers
β Choice of Base Year β A bad base year can give misleading results.
β Changes in Consumption Patterns β Peopleβs spending habits change over time.
β Quality Changes Not Considered β A product may improve, but index numbers donβt always reflect quality changes.
β Substitution Bias β Consumers switch to cheaper alternatives when prices rise, which indices may not capture.
7. Conclusion
β Index numbers are essential in economics to measure price changes, inflation, and economic trends.
β CPI, WPI, and GDP Deflator are widely used indicators.
β Weighted index numbers like Laspeyres, Paasche, and Fisherβs provide better accuracy.
β Despite limitations, index numbers remain a key tool for economic analysis and policymaking.
