Weighted Aggregative Index Calculator | भारित समूही सूचकांक कैलकुलेटर

Weighted Aggregative Index Calculator | भारित समूही सूचकांक कैलकुलेटर

Weighted Aggregative Index Calculator

भारित समूही सूचकांक कैलकुलेटर

Calculate and compare 6 different weighted aggregative price indices: Laspeyres, Paasche, Fisher’s Ideal, Marshall-Edgeworth, Dorbish-Bowley, and Kelly’s Index

Commodity P₀ (Base Price) P₁ (Current Price) Q₀ (Base Quantity) Q₁ (Current Quantity)
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Weighted Aggregative Index Formulas:

Laspeyres: \( P_{01}^L = \frac{\Sigma P_1 Q_0}{\Sigma P_0 Q_0} \times 100 \)

Paasche: \( P_{01}^P = \frac{\Sigma P_1 Q_1}{\Sigma P_0 Q_1} \times 100 \)

Fisher’s Ideal: \( P_{01}^F = \sqrt{P_{01}^L \times P_{01}^P} \)

Marshall-Edgeworth: \( P_{01}^{ME} = \frac{\Sigma P_1(Q_0+Q_1)}{\Sigma P_0(Q_0+Q_1)} \times 100 \)

Dorbish-Bowley: \( P_{01}^{DB} = \frac{P_{01}^L + P_{01}^P}{2} \)

Kelly’s: \( P_{01}^{K} = \frac{\Sigma P_1 \bar{Q}}{\Sigma P_0 \bar{Q}} \times 100 \)

All Index Calculation Results
Laspeyres Index
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Paasche Index
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Fisher’s Ideal
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Marshall-Edgeworth
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Dorbish-Bowley
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Kelly’s Index
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Complete Calculation Table
Commodity P₀ P₁ Q₀ Q₁ P₀Q₀ P₁Q₀ P₀Q₁ P₁Q₁
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All Methods Comparison
Visual Comparison of All Indices
Step 1: Data Preparation
Step 2: Calculate Required Sums
Step 3: Calculate Laspeyres Index
Step 4: Calculate Paasche Index
Step 5: Calculate Fisher’s Ideal Index (Complete Formula)
Step 6: Calculate Marshall-Edgeworth Index
Step 7: Calculate Dorbish-Bowley and Kelly’s Indices
Step 8: Interpretation & Comparison

Weighted Aggregative Index Methods: Complete Guide

What are Weighted Aggregative Index Methods?

Weighted Aggregative Index Methods are statistical techniques used to measure price changes over time by aggregating price and quantity data of multiple commodities. These methods assign different weights (quantities) to different commodities based on their importance in the basket.

Complete Formulas for All Methods

1. Laspeyres Price Index (Étienne Laspeyres):

\[ P_{01}^{L} = \frac{\sum P_1 Q_0}{\sum P_0 Q_0} \times 100 \]

2. Paasche Price Index (Hermann Paasche):

\[ P_{01}^{P} = \frac{\sum P_1 Q_1}{\sum P_0 Q_1} \times 100 \]

3. Fisher’s Ideal Index (Irving Fisher) – COMPLETE FORMULA:

\[ P_{01}^{F} = \sqrt{P_{01}^{L} \times P_{01}^{P}} = \sqrt{\frac{\sum P_1 Q_0}{\sum P_0 Q_0} \times \frac{\sum P_1 Q_1}{\sum P_0 Q_1}} \times 100 \]

Or equivalently:

\[ P_{01}^{F} = \sqrt{\frac{(\sum P_1 Q_0)(\sum P_1 Q_1)}{(\sum P_0 Q_0)(\sum P_0 Q_1)}} \times 100 \]

4. Marshall-Edgeworth Index (Alfred Marshall & F.Y. Edgeworth):

\[ P_{01}^{ME} = \frac{\sum P_1 (Q_0 + Q_1)}{\sum P_0 (Q_0 + Q_1)} \times 100 \]

5. Dorbish-Bowley Index (Dorbish & Bowley):

\[ P_{01}^{DB} = \frac{P_{01}^{L} + P_{01}^{P}}{2} \]

6. Kelly’s Index (Kelly):

\[ P_{01}^{K} = \frac{\sum P_1 \bar{Q}}{\sum P_0 \bar{Q}} \times 100 \] where \(\bar{Q} = \frac{Q_0 + Q_1}{2}\)

Key Differences Between Methods

  • Laspeyres: Uses base year quantities – tends to overestimate inflation
  • Paasche: Uses current year quantities – tends to underestimate inflation
  • Fisher’s Ideal: Geometric mean of Laspeyres and Paasche – satisfies time reversal test
  • Marshall-Edgeworth: Uses average quantities – compromise approach
  • Dorbish-Bowley: Arithmetic mean – simple but doesn’t satisfy time reversal test
  • Kelly’s: Similar to Marshall-Edgeworth – uses average quantities

Frequently Asked Questions

Which index method is most accurate?
Fisher’s Ideal Index is considered the most accurate as it satisfies both time reversal and factor reversal tests. It’s often called the “ideal” index.
Why are there different index methods?
Different methods use different weighting systems (base year vs current year quantities) and have different mathematical properties. The choice depends on data availability and purpose.
What is the time reversal test?
If we reverse time periods, the product of the indices should be 1. Fisher’s Ideal Index satisfies this test: P₀₁ × P₁₀ = 1

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