Real versus nominal value (economics)

In economics, nominal value is measured in terms of money, whereas real value is measured against goods or services. A real value is one which has been adjusted for inflation, enabling comparison of quantities as if the prices of goods had not changed on average. Changes in value in real terms therefore exclude the effect of inflation. In contrast with a real value, a nominal value has not been adjusted for inflation, and so changes in nominal value reflect at least in part the effect of inflation.

For other uses, see Real versus nominal value.

Prices and inflation

A representative collection of goods, or commodity bundle, is used for comparison purposes, to measure inflation. The nominal (unadjusted) value of the commodity bundle in a given year depends on prices current at the time, whereas the real value of the commodity bundle, if it is truly representative, in aggregate remains the same. The real values of individual goods or commodities may rise or fall against each other, in relative terms, but a representative commodity bundle as a whole retains its real value as a constant over time.

A price index is calculated relative to a base year. Indices are typically normalized at 100 in the base year. Starting from a base (or reference) year, a price index P_t represents the price of the commodity bundle over time t. In base year zero, P₀ is set to 100. If for example the base year is 1992, real values are expressed in constant 1992 dollars, with the price level defined as 100 for 1992. If, for example, the price of the commodity bundle has increased in the first year by 1%, then P_t rises from P₀ = 100 to P₁ = 101.

The inflation rate ${\displaystyle i_{t}}$ between year t - 1 and year t is:

change in price / price in year t - 1

${\displaystyle ={\frac {P_{t}-P_{t-1}}{P_{t-1}}}*100}$

${\displaystyle =({\frac {P_{t}}{P_{t-1}}}-1)*100}$

Real value

Comparison of real and nominal gas prices 1996 to 2016, illustrating the formula for conversion. Here the base year is 2016.

The price index is applied to adjust the nominal value Q of a quantity, such as wages or total production, to obtain its real value. The real value is the value expressed in terms of purchasing power in the base year.

The index price divided by its base-year value, ${\displaystyle P_{t}/P_{0},}$ gives the growth factor of the price index.

Real values can be found by dividing the nominal value by the growth factor of a price index. Using the price index growth factor as a divisor for converting a nominal value into a real value, the real value in year t relative to the base year 0 is:

${\displaystyle {\frac {P_{0}\cdot Q_{t}}{P_{t}}}}$

Real growth rate

The real growth rate ${\displaystyle r_{t}}$ is the change from one period to the next of a nominal quantity ${\displaystyle Q_{t}}$ in real terms. It measures by how much the buying power of the quantity has changed.

${\displaystyle r_{t}={\frac {P_{0}\cdot Q_{t}}{P_{t}}}/{\frac {P_{0}\cdot Q_{t-1}}{P_{t-1}}}-1}$

${\displaystyle ={\frac {P_{t-1}\cdot Q_{t}}{P_{t}\cdot Q_{t-1}}}-1}$

${\displaystyle ={\frac {Q_{t}}{Q_{t-1}}}/{\frac {P_{t}}{P_{t-1}}}-1}$

${\displaystyle ={\frac {1+g_{t}}{1+i_{t}}}-1}$

where:

${\displaystyle g_{t}}$ is the nominal growth rate of ${\displaystyle Q_{t}}$,

and:

${\displaystyle i_{t}}$ is the inflation rate.

${\displaystyle 1+r_{t}={\frac {1+g_{t}}{1+i_{t}}}}$

For values of ${\displaystyle i_{t}}$ between −1 and 1, we have the Taylor series

${\displaystyle (1+i_{t})^{-1}=1-i_{t}+i_{t}^{2}-i_{t}^{3}+...}$

so

${\displaystyle 1+r_{t}=(1+g_{t})(1-i_{t}+i_{t}^{2}-i_{t}^{3}+...)}$

${\displaystyle =1+g_{t}-i_{t}-g_{t}i_{t}+i_{t}^{2}+{\text{higher order terms.}}}$

Hence as a first-order (i.e. linear) approximation,

${\displaystyle r_{t}=g_{t}-i_{t}}$

Real wages and real gross domestic product

The bundle of goods used to measure the Consumer Price Index (CPI) is applicable to consumers. So for wage earners as consumers, an appropriate way to measure real wages (the buying power of wages) is to divide the nominal wage (after-tax) by the growth factor in the CPI.

Gross domestic product (GDP) is a measure of aggregate output. Nominal GDP in a particular period reflects prices which were current at the time, whereas real GDP compensates for inflation. Price indices and the U.S. National Income and Product Accounts are constructed from bundles of commodities and their respective prices. In the case of GDP, a suitable price index is the GDP price index. In the U.S. National Income and Product Accounts, nominal GDP is called GDP in current dollars (that is, in prices current for each designated year), and real GDP is called GDP in [base-year] dollars (that is, in dollars that can purchase the same quantity of commodities as in the base year).

Example

If for years 1 and 2 (possibly a span of 20 years apart), the nominal wage and price level P of goods are respectively nominal wage rate: $10 in year 1 and $16 in year 2 price level: 1.00 in year 1 and 1.333 in year 2, then real wages using year 1 as the base year are respectively: $10 (= $10/1.00) in year 1 and $12 (= $16/1.333) in year 2. The real wage each year measures the buying power of the hourly wage in common terms. In this example, the real wage rate increased by 20 percent, meaning that an hour's wage would buy 20% more goods in year 2 compared with year 1.

Real interest rates

Main article: Real interest rate

As was shown in the section above on the real growth rate,

${\displaystyle 1+r_{t}={\frac {1+g_{t}}{1+i_{t}}}}$

where

${\displaystyle r_{t}}$ is the rate of increase of a quantity in real terms,

${\displaystyle g_{t}}$ is the rate of increase of the same quantity in nominal terms, and

${\displaystyle i_{t}}$ is the rate of inflation,

and as a first-order approximation,

${\displaystyle r_{t}=g_{t}-i_{t}.}$

In the case where the growing quantity is a financial asset, ${\displaystyle g_{t}}$ is a nominal interest rate and ${\displaystyle r_{t}}$ is the corresponding real interest rate; the first-order approximation ${\displaystyle r_{t}=g_{t}-i_{t}}$ is known as the Fisher equation.[1]

Looking back into the past, the ex post real interest rate is approximately the historical nominal interest rate minus inflation. Looking forward into the future, the expected real interest rate is approximately the nominal interest rate minus the expected inflation rate.

Cross-sectional comparison

Not only time-series data, as above, but also cross-section data which depends on prices which may vary geographically for example, can be adjusted in a similar way. For example, the total value of a good produced in a region of a country depends on both the amount and the price. To compare the output of different regions, the nominal output in a region can be adjusted by repricing the goods at common or average prices.

See also

• Aggregation problem
• Classical dichotomy
• Constant Item Purchasing Power Accounting
• Cost-of-living index
• Deflation
• Financial repression
• Fisher equation
• Index (economics)
• Inflation
• Inflation accounting
• Interest
• Money illusion
• National accounts
• Neutrality of money
• Numéraire
• Real interest rate
• Real prices and ideal prices
• Template:Inflation – for price conversions in Wikipedia articles

Notes

1. Benninga, Simon; Oded Sarig (1997). Corporate Finance: A Valuation Approach. The McGraw-Hill Companies. pp. 21. ISBN 0-07-005099-6.

References

• Diewert, W. E. (2008) [1987]. "Index Numbers". The New Palgrave Dictionary of Economics (2nd ed.). pp. 1–32. doi:10.1057/978-1-349-95121-5_940-2. ISBN 978-1-349-95121-5.
• O'Donnell, R. (1987). "Real and Nominal Quantities". The New Palgrave: A Dictionary of Economics. v. 4. pp. 97–98. (Adam Smith's early distinction vindicated)
• Sen, Amartya (1979). "The Welfare Basis of Real Income Comparisons: A Survey". Journal of Economic Literature. 17 (1): 1–45. JSTOR 2723639.
• Usher, D. (1987). "Real Income". The New Palgrave: A Dictionary of Economics. v. 4. pp. 104–05.

External links

• DataBasics: Deflating Nominal Values to Real Values from Federal Reserve Bank of Dallas
• CPI Inflation Calculator from U.S. Bureau of Labor Statistics