Herfindahl index

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This article is about the economic measure. For the index of scientific prolificacy, see H-index.

The Herfindahl index (also known as Herfindahl–Hirschman Index, or HHI) is a measure of the size of firms in relation to the industry and an indicator of the amount of competition among them. Named after economists Orris C. Herfindahl and Albert O. Hirschman, it is an economic concept widely applied in competition law, antitrust[1] and also technology management.[2] It is defined as the sum of the squares of the market shares of the 50 largest firms (or summed over all the firms if there are fewer than 50)[3] within the industry, where the market shares are expressed as fractions. The result is proportional to the average market share, weighted by market share. As such, it can range from 0 to 1.0, moving from a huge number of very small firms to a single monopolistic producer. Increases in the Herfindahl index generally indicate a decrease in competition and an increase of market power, whereas decreases indicate the opposite. Alternatively, if whole percentages are used, the index ranges from 0 to 10,000 "points". For example, an index of .25 is the same as 2,500 points.

The major benefit of the Herfindahl index in relationship to such measures as the concentration ratio is that it gives more weight to larger firms.

The measure is essentially equivalent to the Simpson diversity index used in ecology and to the inverse participation ratio (IPR) in physics.

Example[edit]

For instance, two cases in which the six largest firms produce 90% of the goods in a market:

We will assume that the remaining 10% of output is divided among 10 equally sized producers.

The six-firm concentration ratio would equal 90% for both case 1 and case 2. But the first case would promote significant competition, where the second case approaches monopoly. The Herfindahl index for these two situations makes the lack of competition in the second case strikingly clear:

This behavior rests in the fact that the market shares are squared prior to being summed, giving additional weight to firms with larger size.

The index involves taking the market share of the respective market competitors, squaring it, and adding them together (e.g. in the market for X, company A has 30%, B, C, D, E and F have 10% each and G through to Z have 1% each). If the resulting figure is above a certain threshold then economists consider the market to have a high concentration (e.g. market X's concentration is 0.142 or 14.2%). This threshold is considered to be 0.25 in the U.S.,[1] while the EU prefers to focus on the level of change, for instance that concern is raised if there is a 0.025 change when the index already shows a concentration of 0.1.[4] So to take the example, if in market X company B (with 10% market share) suddenly bought out the shares of company C (with 10% also) then this new market concentration would make the index jump to 0.162. Here it can be seen that it would not be relevant for merger law in the U.S. (being under 0.18) or in the EU (because there is not a change over 0.025).

Formula[edit]

H =\sum_{i=1}^N s_i^2

where si is the market share of firm i in the market, and N is the number of firms. Thus, in a market with two firms that each have 50 percent market share, the Herfindahl index equals 0.502+0.502 = 1/2.

The Herfindahl Index (H) ranges from 1/N to one, where N is the number of firms in the market. Equivalently, if percents are used as whole numbers, as in 75 instead of 0.75, the index can range up to 1002, or 10,000.

A HHI index below 0.01 (or 100) indicates a highly competitive index.
A HHI index below 0.15 (or 1,500) indicates an unconcentrated index.
A HHI index between 0.15 to 0.25 (or 1,500 to 2,500) indicates moderate concentration.
A HHI index above 0.25 (above 2,500) indicates high concentration [1].

A small index indicates a competitive industry with no dominant players. If all firms have an equal share the reciprocal of the index shows the number of firms in the industry. When firms have unequal shares, the reciprocal of the index indicates the "equivalent" number of firms in the industry. Using case 2, we find that the market structure is equivalent to having 1.55521 firms of the same size.

There is also a normalised Herfindahl index. Whereas the Herfindahl index ranges from 1/N to one, the normalized Herfindahl index ranges from 0 to 1. It is computed as:

H^* = {\left ( H - 1/N \right ) \over 1-1/N }

where again, N is the number of firms in the market, and H is the usual Herfindahl Index, as above.

Problems[edit]

The usefulness of this statistic to detect and stop harmful monopolies however is directly dependent on a proper definition of a particular market (which hinges primarily on the notion of substitutability).

The United States Federal anti-trust authorities such as the Department of Justice and the Federal Trade Commission use the Herfindahl index as a screening tool to determine whether a proposed merger is likely to raise antitrust concerns. Increases of over 0.01 generally provoke scrutiny, although this varies from case to case. The Antitrust Division of the Department of Justice considers Herfindahl indices between 0.15 and 0.25 to be "moderately concentrated" and indices above 0.25 to be "highly concentrated".[5] As the market concentration increases, competition and efficiency decrease and the chances of collusion and monopoly increase.

For formation of effective market economy and competition economic conditions in different sectors of market, the developing countries also use Herfindahl index (see Revaz Lordkipanidze).

Intuition[edit]

When all the firms in an industry have equal market shares, H = 1/N. The Herfindahl is correlated with the number of firms in an industry because its lower bound when there are N firms is 1/N. An industry with 3 firms cannot have a lower Herfindahl than an industry with 20 firms when firms have equal market shares. But as market shares of the 20-firm industry diverge from equality the Herfindahl can exceed that of the equal-market-share 3-firm industry (e.g., if one firm has 81% of the market and the remaining 19 have 1% each H=0.658). A higher Herfindahl signifies a less competitive industry.

The Herfindahl index is also a widely used metrics for economic concentration.[6] In portfolio theory, the Herfindahl index is related to the effective number of positions held in a portfolio. More precisely, this number is Neff = 1/H,[7] where H is computed as the sum of the squares of the proportion of market value invested in each security. A low H-index implies a very diversified portfolio: as an example, a portfolio with H = 0.01 is equivalent to a portfolio with Neff=100 equally weighted positions. The H-index has been shown to be one of the most efficient measures of portfolio diversification.[8]

Decomposition[edit]

If we suppose that N firms share all the market, then the index can be expressed as H =\frac1N+N V where N is the number of firms, as above, and V is the statistical variance of the firm shares, defined as V=\frac{\sum_{i=1}^N\left(s_i-1/N\right)^2}N. If all firms have equal (identical) shares (that is, if the market structure is completely symmetric, in which case si = 1/N for all i) then V is zero and H equals 1/N. If the number of firms in the market is held constant, then a higher variance due to a higher level of asymmetry between firms' shares (that is, a higher share dispersion) will result in a higher index value. See Brown and Warren-Boulton (1988), also see Warren-Boulton (1990).[citation needed]

See also[edit]

References[edit]

  1. ^ a b 2010 Merger Guidelines § 5.3
  2. ^ Catherine Liston-Hayes, Alan Pilkington, “Inventive Concentration: An Analysis of Fuel Cell Patents,” Science and Public Policy, (2004). Vol. 31, No. 1, p.15-25.
  3. ^ Chapter 9 Organizing Production
  4. ^ However, it gets far more complicated than that. See para. 16-21 Guidelines on horizontal mergers
  5. ^ "Herfindahl–Hirschman Index". USDOJ. Retrieved 4 May 2012. 
  6. ^ Lovett, William (1988). Banking and Financial Institutions Law in a Nutshell. West Publishing Co. 
  7. ^ Bouchaud, Jean-Philippe; Potters, Aguilar (1997). Missing Information and Asset Allocation. 
  8. ^ Woerheide, Walt; Persson, Don (1993). FINANCIAL SERVICES REVIEW 2 (2): 73–85. 

Further reading[edit]

External links[edit]