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Leximetrics

Leximetrics 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 Leximetrics rather than just read about it. In short: Leximetrics is a field which attempts to rank the strength or weaknesses of laws, by assigning a numerical value to each type of law in a particular field. The law's numbers are then used to compare the efficacy of different legal systems, and how these numbers correlate with particular goals such as economic growth or employment.

Key takeaways

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

Reference excerpt

Leximetrics is a field which attempts to rank the strength or weaknesses of laws, by assigning a numerical value to each type of law in a particular field. The law's numbers are then used to compare the efficacy of different legal systems, and how these numbers correlate with particular goals such as economic growth or employment.

History The term leximetrics was first coined by Robert Cooter and Tom Ginsburg, drawing on their comparative law studies. The first attempt to assign numerical values to rules in different legal systems, to evaluate their perceived strength or weakness, was made by a group of finance economists called Rafael La Porta, Florencio Lopez de Silanes, Andrei Shleifer, and Robert W. Vishny. In work that was commissioned by the World Bank, and with views consistent with the Washington Consensus, they collated information on a select number of shareholder rights. They believed they could show that the protection of shareholder rights correlated with, and probably caused, more efficient market economies. They also argued that, according to their legal origins theory, common law systems were better at protecting shareholder rights than civil law jurisdictions, on the whole. With other people involved later, these studies were extended to labour law, and constitutional law protections for property, and other issues which concerned the researchers. La Porta, Lopez, Shleifer and Vishny's studies, although picked up by the World Bank and the International Monetary Fund, were widely criticised for failing to disclose their methodology adequately, misunderstanding the law in multiple jurisdictions, oversimplifying complex legal problems, and bias. Before long other researchers, such as those at the Cambridge Judge Business School, Centre for Business Research, led by Simon Deakin, began undertaking parallel studies. These sought to do the same work but more accurately, and usually came to the opposite conclusions. For example, it was found that when measured more accurately, and over time, common law countries were not outperformed by civil law countries in various shareholders' protection measures, and that labour law was in fact positive for economic development in most cases. The field of work has continued to attract substantial academic interest.

Methodology and criticism A common criticism of leximetrics, particularly among the legal profession, is that it fails to capture the complexity of legal issues, and by reducing the "strength" of laws to a numerical value, may well miss the practical effects of the law. For example, as the corporate law Professor John C. Coffee has put it, put it, public enforcement of directors' duties remains necessary despite the work carried out by Rafael La Porta, Florencio Lopez de Silanes, Andrei Shleifer and Robert W. Vishny, because it is more effective. "This is a description," says Coffee, "quite at odds with LLS and V, who favor private enforcement (but do not understand it)..." Leximetric studies usually involve researchers with limited amounts of time to spend on each country's law that they examine, the researchers may or may not be lawyers, and may or may not be acquainted with the dozens of jurisdictions they study, even if the person leading the research is themselves a highly qualified lawyer. Even then, the assessment of whether a law is strong or not depends on an independent judgement. Numbers tend to indicate an objective quality, when in fact they are all subjective assessments of the relative efficacy of a law, and open to reinterpretation. Once the aggregated data and number have been determined by the researcher, and these are correlated with data on a country's economic development, it is then also criticised that no normative conclusions can be drawn. Correlations do not mean causation, and even very close correlations in the understanding of econometrics is not the same as causation. Regression analysis which shows, for example, a country raising its minimum wage has coincided exactly with a period of economic growth would neither demonstrate that a minimum wage ought to be raised in a different country. Defenders of the leximetrics methodology contend that although there may be many qualifications and limitations, the work can nevertheless be useful despite its abstracted nature. It is preferable to have some information and basis for comparison rather than none at all, and the only question is whether or not the work is carried out accurately or with integrity. The more transparent the researchers' choices are, the better the work is likely to be. As more data is released, other researchers can build on and perfect the work which is done.

See also Labour law Corporate law Legal origins theory

References

Worked examples

Example 1 — a first encounter with Leximetrics

Start with the simplest possible case. Write down what Leximetrics 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 Leximetrics 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 Leximetrics 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 Leximetrics

In research
Leximetrics 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 Leximetrics 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
Leximetrics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Law and economics, so understanding it makes those chapters shorter.
In everyday life
Look for Leximetrics 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 Leximetrics in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Leximetrics 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 Leximetrics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Leximetrics in simple terms?

Leximetrics is a field which attempts to rank the strength or weaknesses of laws, by assigning a numerical value to each type of law in a particular field. The law's numbers are then used to compare the efficacy of different legal systems, and how these numbers correlate with particular goals such…

Why does Leximetrics 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 Leximetrics?

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 Leximetrics.

Tags

  • Law and economics

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