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3Inflation and Prices
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CPI, WPI and the GDP Deflator Compared: Four Honest Readings

Each one prices a different set of transactions for a different set of buyers. The consumer price index (CPI) follows a household's fixed basket at the shop counter. The wholesale price index (WPI) follows goods changing hands before retail and holds no services whatsoever. The gross domestic product (GDP) deflator follows whatever the economy produced, fixed to nothing. For one Sankhya year they read 6.70, 4.62 and 5.00 per cent, and none is wrong.

The disagreement is stranger than it first looks. Three counters, one country, one twelve month stretch, and three answers to what looks like the same question. Nobody miscounted. Nobody is running a different economy. The three numbers differ because the question each measure was built to answer differs, and once the three baskets are laid out side by side the disagreement stops looking like a scandal and starts looking like arithmetic doing exactly what it was told.

A price is settled between one buyer and one seller. A price index is an attempt to say what happened to a great many of those settlements at once. The arithmetic of a consumer basket is set out under consumer basket construction, and what pushed those prices up in the first place is set out under the causes of inflation. Each of the three is worth building on its own terms before any of them are set beside the others, because the gap between the readings turns out to be nothing but the difference in what each one prices.

Every weight, price movement and reading below belongs to the Republic of Sankhya, a teaching invention. The figures were chosen so the sums close exactly. A working statistical system never behaves that way. Its groups are sampled, its weights are estimated, and its totals carry a residual nobody can remove.

What is a consumer price index actually pricing, and whose household is it describing?

Start with the simplest of the three and build it properly before either of the others is mentioned. A consumer price index takes a fixed list of things a household buys, attaches a share of total spending to each one, prices them all at the counter where a household actually pays, and repeats the exercise period after period. The list is the basketThe fixed list of items an index prices again and again. Only the prices are allowed to move, so one period can be compared with another.. The share attached to each item is its weightThe proportion of total spending assigned to one item or group. A price movement on it enters the total in proportion to how much of it gets bought.. The price is a retailThe last step in the chain, where a household hands money over for its own use. A retail price includes the transport, storage and shopkeeper margin stacked on top of what the producer received. price. It carries the transport, the storage and the shopkeeper's margin, not just what the producer got paid.

A single household month comes before a country. If rice, dal and vegetables take four rupees in every ten that leaves a household, then a twelve per cent rise in food prices is not a small annoyance to be absorbed, it is the single biggest thing that happened to that money this year. A household on a much larger income in the same street, where food takes two rupees in ten and the rest goes on school fees, a phone plan, fuel for a car and an insurance premium, meets the same twelve per cent, and the two households experience completely different years. A consumer index has to pick one set of shares for everybody, and the moment it picks, it has decided whose year it is describing.

The Sankhya consumer basket carries three groups. Food holds 40 per cent of the weight and its prices rose 12.0 per cent. Energy holds 10 per cent and rose 9.0 per cent. Everything else, the group usually called core, holds the remaining 50 per cent and rose 2.0 per cent. Multiply each weight by each price movement and add the three results and the basket reads 6.70 per cent. Strip out the food and energy groups and price only the core, and the same basket reads 2.00 per cent. Both numbers came out of the same collection exercise on the same day.

The weights are not a technical detail sitting underneath the index. They state whose household is being described, and that makes them the whole design decision. Hold the three price movements completely still and change only the shares, and the reading moves anyway. A Sankhya household spending 55 per cent on food reads 8.20 per cent. One spending 25 per cent on food reads 5.20 per cent. The spread between those two readings is 3.00 points, produced by nothing except who is being described. Every price in the country is identical across all three cases. A basket built for the middle of a distribution will describe the top and the bottom of it badly, however carefully the prices in it were collected.

Identical prices. Three sets of weights. Three readings. FOOD, prices up 12.0 pc ENERGY, prices up 9.0 pc CORE, prices up 2.0 pc SANKHYA AVERAGE HOUSEHOLD 40 10 50 6.70 pc FOOD HEAVY HOUSEHOLD 55 10 35 8.20 pc FOOD LIGHT HOUSEHOLD 25 10 65 5.20 pc A spread of 3.00 points, produced by the weights alone, with every price in the country identical. Invented economy, illustrative weights. The core segment number is the share of spending, not a price.
The Sankhya average household reads 6.70 per cent, a food heavy household reads 8.20 and a food light household reads 5.20, and the only thing separating those three readings is the weights, because the price movements are identical across all three.
Try it out

What do the weights in a consumer price index actually decide?

What sits inside the wholesale measure, and what does it leave out entirely?

Put the consumer basket down completely. The wholesale measure is not a variation on it but a separate instrument built for a separate buyer. Goods are priced at the point where they change hands in bulk, before anybody has carried them to a shop, put them on a shelf or added a counter margin. The buyer it describes is a producer or a trader further back in the chain. The price recorded is the one that buyer actually pays, the factory gate price or the mandi price rather than the shelf price.

The Sankhya wholesale basket carries three groups and its own weights, and neither the groups nor the weights match the consumer basket. Primary articles, the group covering farm output and raw material, hold 22 per cent. Fuel holds 15 per cent. Manufactured goods hold the remaining 63 per cent. No group in either basket is heavier. Something has already happened in that distribution. Food related prices carry 40 per cent of the consumer basket and 22 per cent of the wholesale one, so the identical farm price movement enters the two measures with almost half the force in the second.

Then comes the part that surprises most readers the first time. The wholesale measure contains no servicesOutput that cannot be stacked in a warehouse: a haircut, a bus ride, a school term, a doctor consultation, a phone connection. A haircut is produced and consumed in the same moment, so it never changes hands in bulk. at all. Not a reduced weight for services, not a partial sample of them. None. No haircut, no bus fare, no school fee, no rent, no doctor's consultation and no phone plan enters it anywhere. A service is produced and consumed at the same moment and never travels through a wholesale stage, so there is no bulk transaction for a wholesale collector to observe. The absence of services is a narrow question being asked deliberately rather than a gap somebody forgot to close, and it stops being harmless the moment services become a large share of what people actually buy.

Leaving services out explains most of what the wholesale reading does. In the Sankhya year, manufactured goods rose only 1.0 per cent while the household core rose 2.0 per cent, and the difference between those two is largely the retail margin and the services buried in the household core. So the wholesale basket puts its heaviest weight, 63 per cent, on the calmest prices in the country. The wholesale measure therefore reads low, and it will keep reading low in any year where factory gate goods are quiet, whatever is happening in a barber's shop or a school office.

The wholesale basket, and the part of the economy it was never built to see. INSIDE IT OUTSIDE IT, ENTIRELY PRIMARY ARTICLES, 22 per cent grain, pulses, oilseeds, ore, raw cotton FUEL, 15 per cent diesel, coal, electricity at the plant gate MANUFACTURED GOODS, 63 per cent cement, steel, fabric, chemicals, packaged goods EVERY SERVICE, WITHOUT EXCEPTION haircut, bus fare, school fee, rent, doctor, phone THE RETAIL MARGIN the whole distance from plant gate to shelf ANYTHING PRICED ONLY AT A COUNTER restaurant meals, tuition, insurance, a repair job CONSUMER BASKET CORE 50, services sit in here WHOLESALE BASKET MANUFACTURED 63, no services anywhere SERVICES: NONE Sixty three per cent of the wholesale basket sits on manufactured goods, which rose 1.0 per cent, so the heaviest weight in the basket is parked on the calmest prices in the country. Invented economy, illustrative weights. Bar segments show shares of spending, not prices.
The wholesale basket carries primary articles at 22 per cent, fuel at 15 and manufactured goods at 63, and it carries no services of any kind, which is why the retail margin and everything priced only at a counter sit permanently outside it.
Try it out

What does the wholesale measure leave out entirely?

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Why does the GDP deflator have no basket at all?

Put both baskets down now. The third measure is not built the way either of them is built. There is no list of items, no set of shares and no price collector standing in a shop or at a factory gate. The deflator is a ratio. Take everything the economy produced in a year and value it at that year's prices. Then take the same output and value it at the prices of a base yearThe year an index is set equal to 100. Every later reading states how much prices have moved since then. Choosing a different base year changes every printed level without changing a single underlying price.. Divide the first by the second, multiply by a hundred, and that is the deflator for the year.

Read what that construction implies. The deflator is unlike either basket. The deflator's composition is whatever the economy actually made that year, in whatever proportions it happened to make them. If Sankhya built more cement and fewer bicycles this year than last, the deflator quietly reweights towards cement, and nobody chose that. There is no revision meeting, no decision about whose spending to describe, and no fixed list going stale. The measure simply inherits the shape of production.

Not holding anything fixed is the deflator's distinguishing feature and its central difficulty at the same time. A movement in it mixes prices changing with what the economy produced changing, and nothing inside the measure can separate the two. A basket index can promise that only prices moved, because everything else was nailed down by construction. The deflator can make no such promise. The deflator offers instead the kind of coverageWhich transactions a measure is built to observe. Wide coverage means few things are excluded; narrow coverage means the measure deliberately watches one slice of the economy. that neither basket comes close to: everything produced, priced at whatever it fetched, with nothing left outside because it was not on a list somebody drew up years ago.

One consequence catches people out. Because the deflator is built from output, it prices what the economy makes rather than what its households buy. Things Sankhya produces and sells abroad are inside it. Things Sankhya households buy that were made elsewhere are not. A consumer index takes the exact opposite view of both. Neither view is a mistake, and a reader who assumes the two are approximations of one another will keep being surprised by the gap between them.

The deflator is a ratio between two valuations of the same output. Vertical scale starts at Rs 16,00,000 crore, not at zero, so the gap between each pair is legible. the shaded part of a nominal bar is price, not extra output 16,00,000 17,00,000 18,00,000 19,00,000 20,00,000 Rs crore 16,80,000 17,64,000 REAL NOMINAL YEAR 2, DEFLATOR 105.00 17,47,200 19,26,288 REAL NOMINAL YEAR 3, DEFLATOR 110.25 110.25 against 105.00 is a rise of 5.00 per cent, and no list of items was consulted anywhere in that sum. The mix of what was produced is different in each column, and the measure does not hold it still.
Valuing the same output twice gives a deflator of 105.00 in year 2 and 110.25 in year 3 for Sankhya, and because the composition of that output changes between the two columns, nothing inside the ratio holds a basket fixed.
Try it out

Why does the GDP deflator have no fixed basket?

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How do the three measures line up once each one is built?

All three are now built, each on its own terms, so they can finally be put beside one another. A reading is only interpretable once four questions have been answered, and all four are worth asking every time a price number turns up. Whose prices are these? Which items are being priced? Is the list held still? And what question was the instrument built to answer?

On the first, the consumer measure asks about a household at the counter, the wholesale measure asks about a buyer of goods in bulk before retail, and the deflator asks about everybody at once because it covers everything produced. On the second, the consumer basket carries goods and services both, the wholesale basket carries goods only, and the deflator carries whatever got made. On the third, both baskets are held still until somebody revises them. The deflator holds nothing still, ever. Each measure was built to answer a different question. The right one therefore depends entirely on whose prices are being asked about, not on which instrument is the most accurate.

The instinct to rank the three is very strong, so the point deserves saying plainly. There is no ranking. The wholesale measure is not a crude version of the consumer measure, and the deflator is not a superior version of either. Asking which is most accurate is like asking whether a kitchen scale is more accurate than a bathroom scale. Both are accurate. The two scales weigh different things, and using one where the other belongs gives a wrong answer that looks perfectly reasonable written down.

Four questions, asked of each measure in turn. ASK THIS CONSUMER INDEX WHOLESALE INDEX GDP DEFLATOR WHOSE PRICES ARE THESE? A household, at the shop counter, paying what it actually pays A buyer of goods before retail, at the point they change hands in bulk Everybody at once, since it covers everything the economy produced WHICH ITEMS ARE IN IT? Food, energy and the rest of a household basket, goods and services both Primary articles, fuel and manufactured goods. No services at all Whatever was produced that year, in whatever proportions it was made IS THE LIST HELD STILL? Yes, until it is revised, and the revision breaks comparability at the join Yes, on the same terms, with its own weights and its own revision date No, and never The mix moves with every year of output WHAT QUESTION DOES IT ANSWER? What has happened to the cost of running a household? What has happened to the cost of the goods a producer buys? What has happened to the price of everything this economy makes? None of the three columns is a rough version of another. They answer different questions. Invented economy. The grid describes construction, not any published series.
Asking whose prices, which items, whether the list is held still and what question each instrument answers separates the three measures cleanly, and no column in that grid is a rougher version of any other.

Who publishes price indices in India, and what should be looked up rather than assumed?

In India the consumer and wholesale indices are compiled by government issuers, and the national accounts that a deflator falls out of are compiled alongside them. The Ministry of Statistics and Programme Implementation, and the National Statistical Office inside it, are where the construction of a consumer index is documented. The Reserve Bank of India reproduces several price series together in its compiled statistical volumes. Seeing them side by side is often the fastest way to tell which series a quoted number belongs to. The Ministry of Finance discusses price movement in the Economic Survey and names its own sources under each table. The groups, weights, index levels, revision dates and release timings of the Indian series are exactly the facts that change, and they sit in the issuers' own documents. The current construction is worth reading there before any Indian price number goes into an argument.

What does the wholesale reading look like built step by step from its own basket?

Most treatments print the wholesale number, print the consumer number, note that they differ and move on. The impression left is that the two measures drifted apart for some accidental reason nobody can quite name. Nothing accidental happened. Every point of separation is put there by weights that can be read off directly, and the only way to believe that is to watch the wholesale reading assemble itself.

Take the three Sankhya wholesale groups in turn. Primary articles hold 22 per cent of the basket and their prices rose 12.0 per cent, so they push the reading up by 0.22 times 12.0, or 2.64 points. Fuel holds 15 per cent and rose 9.0 per cent, adding 0.15 times 9.0, or 1.35 points, for a running total of 3.99. Manufactured goods hold 63 per cent and rose 1.0 per cent, adding 0.63 times 1.0, or 0.63 points. Add the three contributions and the wholesale measure reads 4.62 per cent for the year.

Look at which group did the least work. The group holding almost two thirds of the basket contributed 0.63 points out of 4.62, and a group holding under a quarter of it contributed 2.64. That is not a flaw in the measure and nobody weighted it badly. A basket does exactly this when its heaviest group is sitting on the calmest prices in the country. Run the same three price movements through the consumer weights instead and the answer changes completely. There the heavy weight sits on food.

Every point of the wholesale reading, put there by a weight that can be read off. Each bar is a weight multiplied by a price movement. Vertical scale is percentage points. 0 1 2 3 4 5 +2.64 +1.35 +0.63 4.62 PRIMARY 22 pc of the basket prices up 12.0 pc FUEL 15 pc of the basket prices up 9.0 pc MANUFACTURED 63 pc of the basket prices up 1.0 pc THE READING 2.64 + 1.35 + 0.63 = 4.62 per cent The biggest weight in the basket, 63 per cent, makes the smallest contribution to the reading. Invented economy, illustrative weights and price movements. No published index is described.
Primary articles contribute 2.64 points, fuel contributes 1.35 and manufactured goods contribute only 0.63, and the wholesale reading of 4.62 per cent is nothing more than those three products of a weight and a price movement added together.

Set the consumer basket out the same way and the contrast is immediate. Same country, same twelve months, same collectors going out on the same mornings.

GroupWeightPrices movedContribution
Food40 per centup 12.0 per cent4.80 points
Energy10 per centup 9.0 per cent0.90 points
Core, everything else50 per centup 2.0 per cent1.00 point
Consumer index, headline100 per cent6.70 per cent
Consumer index, core onlythe 50 per cent group, priced aloneup 2.0 per cent2.00 per cent

Food alone contributes 4.80 points to the consumer headline. Food's contribution alone is larger than the entire distance between the highest and the lowest of the four readings. The wholesale basket takes the identical 12.0 per cent farm price movement and weights it at 22 per cent instead of 40, converting it into 2.64 points rather than 4.80. Nothing else needs to happen for the two measures to separate by two full points.

Try it out

In the Sankhya wholesale basket, manufactured goods hold 63 per cent of the weight and their prices rose 1.0 per cent. How many points does that group contribute to the wholesale reading of 4.62 per cent?

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Where did the Sankhya deflator reading of 5.00 per cent come from?

A reading that appears from nowhere is a reading that cannot be checked, so this one is worth tracing. The deflator figure used here was not assumed and it was not chosen to make a point. The figure was already sitting in the Sankhya output figures before any of these baskets existed, and it comes out of them by division.

Sankhya's output was measured twice in each of two years. In year 2, output valued at that year's prices came to Rs 17,64,000 crore while the same output valued at base year prices came to Rs 16,80,000 crore. Divide the first by the second and multiply by a hundred and the deflator for year 2 is 105.00. In year 3 the same pair of valuations gave Rs 19,26,288 crore and Rs 17,47,200 crore, so the deflator is 110.25. The price movement between those two years is 110.25 against 105.00, a rise of exactly 5.00 per cent.

The deflator reading is therefore not a fourth assumption sitting beside three baskets, it is the price level that the output figures already implied, and the fact that it lands on a clean 5.00 per cent is a property of those figures rather than a convenience. That is also why no slider in the calculator can move it. Nothing in either basket feeds it. For the deflator to change, the economy has to produce something different or sell it at a different price, and neither of those is a weight anybody sets.

Try it out

Where does the Sankhya deflator reading of 5.00 per cent come from?

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How can four honest readings of one year disagree by 4.70 points?

Now put all four on one line. For the same Sankhya year, the consumer headline reads 6.70 per cent, the deflator reads 5.00, the wholesale measure reads 4.62 and the consumer core reads 2.00. The distance from the top of that list to the bottom is 4.70 points. The 4.70 points is not a rounding disagreement or a sampling wobble. The spread is larger than most of the individual readings themselves.

Account for the gap one contribution at a time and it stops being mysterious. Food holds 40 per cent of the consumer basket and rose 12.0 per cent, so that one line alone contributes 4.80 points and the headline sits highest. The consumer core removes food and energy entirely and prices only the group that rose 2.0 per cent, so it sits lowest. The wholesale measure sits low because the group holding 63 per cent of its basket rose only 1.0 per cent, and because it never sees a service or a retail margin. The deflator sits in the middle because it covers everything the economy made and is dragged neither by the food weight of a household basket nor by the manufactured weight of a wholesale one.

Every one of those four numbers is defensible and none of them is wrong. The entire 4.70 point spread is produced by what sits in each basket and whose prices they are, not by anybody measuring badly. When two people quoting inflation figures disagree by two points, the first question is almost never who made an error. The question that pays is which measure each one is holding.

One economy. One year. Four readings, and not one of them is wrong. Scale in percentage points. Every marker was computed from its own basket or its own output figures. 4.70 POINTS BETWEEN THE HIGHEST AND THE LOWEST 0 1 2 3 4 5 6 7 8 2.00 CONSUMER CORE 4.62 WHOLESALE 5.00 GDP DEFLATOR 6.70 CONSUMER HEADLINE Invented economy, illustrative readings. No published index value appears here.
For one Sankhya year the consumer core reads 2.00 per cent, the wholesale measure 4.62, the deflator 5.00 and the consumer headline 6.70, and the 4.70 points separating the ends of that scale are entirely a matter of composition.
Try it out

Four measures of the same Sankhya year give 6.70, 5.00, 4.62 and 2.00 per cent. Which one is wrong?

Play with it

Move the price movements underneath and watch three readings separate from one cause.

Four price movements are running in Sankhya at once, and both baskets are fed by the same four. Neither measure is given a different event to look at. The two differ only in the weights they look through. Farm and food prices enter the consumer basket at 40 per cent and the wholesale basket at 22, and the slider sets them. The three steppers set energy, factory gate manufactured goods and the household core. Everything opens on the Sankhya year, so before anything is touched the four lanes read 6.70, 2.00, 4.62 and 5.00 per cent. Two things redraw together. The lanes at the top slide along a scale that rescales itself as the readings spread out or converge, and the two stacked bars underneath rebuild each reading contribution by contribution along that same scale, so each stack finishes exactly under its own marker. The second preset is the one worth reaching. It pushes manufactured goods up and food down, the wholesale reading ends up above the consumer one, and the ordering of the two turns out not to be fixed at all.

Energy prices: 9.0 pc
Manufactured, factory gate: 1.0 pc
Household core, at retail: 2.0 pc
Jump to a setting:
THE SAME FOUR PRICE MOVEMENTS FEED BOTH BASKETS. ONLY THE WEIGHTS DIFFER.
In the Sankhya year, farm and food prices rose 12.00 per cent, energy 9.00, factory gate manufactured goods 1.00 and the household core 2.00. Feeding those through the consumer weights gives a headline of 6.70 per cent and a core of 2.00 per cent. Feeding the same movements through the wholesale weights gives 4.62 per cent. The deflator stays at 5.00 per cent, so the four readings spread across 4.70 points.
Consumer headline
6.70 per cent
Consumer core
2.00 per cent
Wholesale reading
4.62 per cent
GDP deflator, fixed
5.00 per cent
Spread, highest to lowest
4.70 points
Educational illustration. The Republic of Sankhya, both baskets and all four price movements are teaching constructions, and every reading is rounded to two decimals for display. The four price movements are shared across the two measures by construction, so any separation produced is caused by the weights alone. The deflator is held at 5.00 per cent because it comes from the Sankhya output figures, 110.25 against 105.00, and no basket on this panel feeds it.
Four readings, one year, none wrong. See where else the weights decide the answer. Regression for Finance — free micro-course from Fin Maverick

Which measure fits which question?

Because none of the three ranks above the others, the choice is decided entirely by whose prices the question is about. Three cases cover almost everything a reader will meet. If the question is what has happened to the cost of running a household, whether that is a pension being reviewed, a wage discussion or a personal budget, the consumer measure is the one built for it, and it alone prices at the counter where a household actually pays. If the question is what has happened to the cost of the goods a producer buys, the wholesale measure is the one built for it, and it prices at exactly the stage where those goods change hands. And if the question is how to convert an output series from nominal to real, the deflator is the one built for it. The deflator was derived from that same output, and nothing else will divide out cleanly.

The third case is worth a sentence more. Deflating an output series with the deflator undoes the price movement that the output figures themselves contained. Any other index was built on a different set of transactions, so it will leave a residue. The result will look as though it worked. The number will be plausible and nothing will fail to calculate.

All three numbers are called inflation and all three come with a per cent sign attached, so reaching for the wrong measure is both the most common error in this area and an almost invisible one. Nobody announces that they have swapped one for another. The chart still draws, the ratio still divides, and the answer is quietly wrong by whatever the gap between the two measures happened to be that year. In the Sankhya year that gap was 2.08 points between the consumer headline and the wholesale reading.

Try it out

Stripping price movement out of a manufacturer's input cost series: which measure fits, and why?

The failure: one cost series, deflated with the wrong index

An analyst is looking at a Sankhya manufacturer whose input bill went from Rs 4,00,00,000/- in year 2 to Rs 4,40,00,000/- in year 3, a nominal rise of 10.00 per cent. To find out how much of that was really more material rather than dearer material, the analyst deflates the year 3 figure. The consumer headline at 6.70 per cent is the number in every summary and the one the analyst has been reading all week, so that is the index reached for.

Deflated at 6.70 per cent, the year 3 bill comes back as Rs 4,12,37,113/- in year 2 prices, a real rise of 3.09 per cent. The wholesale reading of 4.62 per cent describes the goods this company actually buys. Deflated at that instead, the bill comes back as Rs 4,20,56,968/-, a real rise of 5.14 per cent. The two answers sit Rs 8,19,855/- and 2.05 points apart on the same underlying cost series. On the first answer the company looks as though it barely expanded its material usage. On the second it looks as though usage grew faster than the economy did.

Nothing about the worksheet looks wrong. The formula is correct, the division is correct, and the index used is a real published measure with an unimpeachable source. The fix is not more care with the arithmetic. The measure has to match whose prices the question is about, and where the right measure is not published for a given case, the note should say so rather than substituting the familiar one and leaving the reader to assume the correct one was used.

The cell is arithmetically perfect and the answer is wrong by two points. INPUT COST WORKSHEET, THE DEFLATION ROWS Price index applied 6.70 per cent, consumer Input bill, year 3 Rs 4,40,00,000/- Deflated to year 2 prices Rs 4,12,37,113/- Real rise it reports 3.09 per cent WHY NOBODY CATCHES IT The formula is right. The index it points at is a household basket, and this company buys none of it. Nothing in the worksheet turns red, nothing fails to calculate, and the source of the index is beyond question. Only the match to the question is wrong. DEFLATED BY THE HOUSEHOLD MEASURE Rs 4,12,37,113/- real rise of 3.09 per cent prices a basket this company never buys DEFLATED BY THE WHOLESALE MEASURE Rs 4,20,56,968/- real rise of 5.14 per cent prices the stage this company buys at One cost series, two deflators, Rs 8,19,855/- and 2.05 points between the answers. Invented manufacturer in an invented economy. Money held in whole rupees throughout.
Deflating the same Sankhya input bill with a household measure returns Rs 4,12,37,113/- and a real rise of 3.09 per cent, while the wholesale measure returns Rs 4,20,56,968/- and 5.14 per cent, and nothing in the worksheet signals which one belongs.
Ratio Analysis That Says Something teaches you to choose ratios that answer a question rather than fill a template.

Is there any clean answer to the fixed basket problem?

No, and it is worth being honest about that rather than presenting one option as the sensible one. Both baskets are held still on purpose. Holding the list fixed is exactly what allows this year to be compared with last year: if only the prices are permitted to move, then a movement in the index is a movement in prices and nothing else. A basket index promises exactly that, and the promise is a real one.

The trouble is that households do not hold still. Set a basket today and in ten years it describes spending that has quietly stopped happening. Items whose share has halved are still carrying their original weight. Items that households have since started buying in quantity are not on the list at all, so their prices are invisible to the index no matter how hard they move. The index is now measuring a household that no longer exists, with complete internal consistency.

The obvious repair is rebasingResetting an index to a new base year, usually with refreshed weights and a refreshed list of items. Later readings then describe current spending rather than spending from years ago.: refresh the weights, add what people now buy, drop what they no longer do. Rebasing fixes the staleness and immediately creates a different problem. Every comparison spanning the revision is now a comparison between two different lists, so a change read across that join mixes a price movement with a change in what was being priced. The series is more relevant afterwards and less continuous through the middle.

No version of this is simply correct, so the practical instruction is not to pick a side. A basket's last revision date is exactly where the two problems trade places, so establish that date before comparing an index across a long stretch. A five year comparison inside one basket is measuring prices. A twenty year comparison across two revisions is measuring something more complicated, and it is worth knowing which of the two is happening before the sentence gets written.

Two options, two costs, and no third option that avoids both. LEAVE THE BASKET ALONE REVISE THE BASKET The weights are the ones set in year 1. Items whose share has since halved still carry their full year 1 weight. Items households now buy in quantity are not on the list, so their prices are invisible. year 1 year 10 one continuous series Cost: it measures a household that has gone. New weights and new items, from year 6. Shares now match what households actually spend, and new items get priced. Every comparison spanning year 6 is now a comparison between two different lists. year 1 year 10 the join Cost: a long comparison breaks at the join. Neither option is simply correct. Before comparing any price index across a long stretch, find out when its basket was last revised, because that date is where the two problems trade places. Illustrative timeline. No revision date of any published index is stated or implied here.
Leaving a basket alone buys one continuous series at the cost of describing spending that has stopped happening, while revising it buys relevance at the cost of a break in the series, and neither of those two costs can be avoided.
Try it out

A consumer index has not had its basket revised in a decade. Name the problem with leaving it, and the problem with fixing it.

Why does an analyst check which measure a contract is indexed to?

Everything above has been about reading a number. A contract clause is about a number that moves money. There the difference between the measures stops being a matter of interpretation. Long contracts frequently carry an indexationA clause tying a payment to a published index, so the amount payable rises or falls automatically with that index instead of being renegotiated each period. clause: a supply agreement whose prices step up with a wholesale index, a wage agreement whose pay steps up with a consumer index, a rent whose escalation follows a published series. In a calm year the three land within a few tenths of one another, so nobody in the room usually thinks of them as different.

Take a Sankhya manufacturer with an input bill of Rs 4,00,00,000/- indexed to the wholesale measure and a wage bill of Rs 2,00,00,000/- indexed to the consumer measure. In the Sankhya year the input line steps up by 4.62 per cent, or Rs 18,48,000/-, and the wage line steps up by 6.70 per cent, or Rs 13,40,000/-. Total uplift, Rs 31,88,000/-. Had the input line been written against the consumer measure instead, as a drafter working at speed might easily have done because it is the familiar one, it would have stepped up by Rs 26,80,000/- rather than Rs 18,48,000/-, a difference of Rs 8,32,000/- on that line alone.

The measures separate when food and fuel move hard, and those are the years a business is already under cost pressure. Two contracts indexed to two different measures therefore diverge most in exactly the years when the divergence hurts most. That is the practical reason an analyst reads the indexation clause rather than assuming it: not because the wrong index was chosen dishonestly, but because in the quiet years nobody found out it mattered. A lender modelling covenant headroom, an investor modelling margin and a household signing a rent escalation are all in the same position. Which series the clause names is the first question. What that series is built from is the second, and only the second says how the clause behaves in a bad year.

Try it out

Two contracts are indexed to different price measures. When does that difference matter most?

The causes of a price rise are set out separately, under the pull of demand, the push of costs and the role of expectations. A price index that falls and one that rises more slowly than before are two different things again, treated together under deflation and disinflation.

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Where would a reader go to check how these measures are actually built?

Sankhya's baskets were written to make the arithmetic land cleanly, and no published basket behaves that neatly. The construction of a real index can be checked in full: which groups it carries, what share each group holds, at which point in the chain the price is collected, when the weights were last set, and which of several series a headline number came from. The issuers who compile the indices publish those facts, and they are the only place to get them. The construction comes from the issuer, and any calculation about a real economy takes its magnitudes from the issuer as well.

IssuerWhat to look up thereSite
Ministry of Statistics and Programme Implementation, and the National Statistical Office inside itHow a consumer index is put together: the groups it carries, the share attached to each, where prices are collected, and when the weights were last setmospi.gov.in
Reserve Bank of IndiaIts compiled statistical volumes, where several price series are reproduced beside each other so a reader can see which one a quoted number belongs torbi.org.in
Ministry of FinanceThe Economic Survey, which discusses price movement in narrative form and names the series and issuer under each of its own tablesindiabudget.gov.in

The Republic of Sankhya is invented.
Educational material. Not advice on any investment, tax, budget or market position.

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