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Nominal rigidity

Nominal rigidity is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Nominal rigidity rather than just read about it. In short: In economics, nominal rigidity, also referred to as price stickiness or wage stickiness, describes a situation in which a nominal price is slow to adjust or resistant to change. Complete nominal rigidity occurs when a price remains fixed in nominal terms for a relevant period of time.

Nominal rigidity — main illustration
Nominal rigidity — illustration

Key takeaways

  • Nominal rigidity belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Nominal rigidity to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Nominal rigidity from memory before moving on to harder problems.

Reference excerpt

In economics, nominal rigidity, also referred to as price stickiness or wage stickiness, describes a situation in which a nominal price is slow to adjust or resistant to change. Complete nominal rigidity occurs when a price remains fixed in nominal terms for a relevant period of time. For example, the price of a good may be contractually set at $10 per unit for an entire year, regardless of changes in supply and demand conditions. Partial nominal rigidity occurs when prices can adjust, but less than they would under conditions of perfect flexibility. For instance, in a regulated market, there may be legal or institutional limits on how much a price can change within a given year. Nominal rigidities are considered a central feature of many Keynesian and New Keynesian models, as they help explain why markets may not always clear and why shifts in aggregate demand can have real effects on output and employment in the short run. The concepts of sticky prices and sticky wages are particularly important for understanding the effectiveness of monetary policy. If one looks at the whole economy, some prices might be very flexible and others rigid. This will lead to the aggregate price level (which we can think of as an average of the individual prices) becoming "sluggish" or "sticky" in the sense that it does not respond to macroeconomic shocks as much as it would if all prices were flexible. The same idea can apply to nominal wages. The presence of nominal rigidity is an important part of macroeconomic theory since it can explain why markets might not reach equilibrium in the short run or even possibly the long run. In his The General Theory of Employment, Interest and Money, John Maynard Keynes argued that nominal wages display downward rigidity, in the sense that workers are reluctant to accept cuts in nominal wages. This can lead to involuntary unemployment as it takes time for wages to adjust to equilibrium, a situation he thought applied to the Great Depression.

Evidence There is now a considerable amount of evidence about how long price-spells last, and it suggests that there is a considerable degree of nominal price rigidity in the "complete sense" of prices remaining unchanged. A price-spell is a duration during which the nominal price of a particular item remains unchanged. For some items, such as gasoline or tomatoes, prices are observed to vary frequently resulting in many short price spells. For other items, such as the cost of a bottle of champagne or the cost of a meal in a restaurant, the price might remain fixed for an extended period of time (many months or even years). One of the richest sources of information about this is the price-quote data used to construct the Consumer Price Index (CPI). The statistical agencies in many countries collect tens of thousands of price-quotes for specific items each month in order to construct the CPI. In the early years of the 21st century, there were several major studies of nominal price rigidity in the US and Europe using the CPI price quote microdata. The following table gives nominal rigidity as reflected in the frequency of prices changing on average per month in several countries. For example, in France and the UK, each month on average, 19% of prices change (81% are unchanged), which implies that an average price spell lasts about 5.3 months (the expected duration of a price spell is equal to the reciprocal of the frequency of price change if we interpret the empirical frequency as representing the Bernoulli probability of price change generating a negative binomial distribution of durations of price-spells).

The fact that price spells last on average for 3.7 months does not mean that prices are not sticky. That is because many price changes are temporary (for example sales) and prices revert to their usual or "reference price". Removing sales and temporary price cuts raises the average length of price-spells considerably: in the US it more than doubled the mean spell duration to 11 months. The reference price can remain unchanged for an average of 14.5 months in the US data. Also, it is prices that we are interested in. If the price of tomatoes changes every month, the tomatoes price will generate 12 price spells in a year. Another price that is just as important (for example, canned tomatoes) might only change once per year (one price spell of 12 months). Looking at these two goods prices alone, we observe that there are 13 price spells with an average duration of (12+13)/13 equals about 2 months. However, if we average across the two items (tomatoes and canned tomatoes), we see that the average spell is 6.5 months (12+1)/2. The distribution of price spell durations and its mean are heavily influenced by prices generating short price spells. If we are looking at nominal rigidity in an economy, we are more interested in the distribution of durations across prices rather than the distribution of price spell durations in itself. There is thus considerable evidence that prices are sticky in the "complete" sense, that the prices remain on average unchanged for a prolonged period of time (around 12 months). Partial nominal rigidity is less easy to measure, since it is difficult to distinguish whether a price that changes is changing less than it would if it were perfectly flexible. Linking micro data of prices and cost, Carlsson and Nordström Skans (2012), showed that firms consider both current and future expected cost when setting prices. The finding that the expectation of future conditions matter for the price set today provides strong evidence in favor of nominal rigidity and the forward looking behavior of the price setters implied by the models of sticky prices outlined below.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Nominal rigidity

Start with the simplest possible case. Write down what Nominal rigidity claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Nominal rigidity before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Nominal rigidity ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Nominal rigidity

In research
Nominal rigidity appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Nominal rigidity in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Nominal rigidity is common in secondary-school and first-year university syllabi. It links to neighbouring topics Keynesian economics, Monetary economics, New Keynesian economics, so understanding it makes those chapters shorter.
In everyday life
Look for Nominal rigidity outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Nominal rigidity in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Nominal rigidity means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Nominal rigidity out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Nominal rigidity in simple terms?

In economics, nominal rigidity, also referred to as price stickiness or wage stickiness, describes a situation in which a nominal price is slow to adjust or resistant to change. Complete nominal rigidity occurs when a price remains fixed in nominal terms for a relevant period of time.

Why does Nominal rigidity matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Nominal rigidity?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Nominal rigidity.

Tags

  • Keynesian economics
  • Monetary economics
  • New Keynesian economics

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