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LSE approach to econometrics

LSE approach to econometrics 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 LSE approach to econometrics rather than just read about it. In short: The LSE approach to econometrics, named for the London School of Economics, involves viewing econometric models as reductions from some unknown data generation process (DGP). A complex DGP is typically modelled as the starting point and this complexity allows information in the data from the real world but absent in the theory to be drawn upon.

Key takeaways

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

Reference excerpt

The LSE approach to econometrics, named for the London School of Economics, involves viewing econometric models as reductions from some unknown data generation process (DGP). A complex DGP is typically modelled as the starting point and this complexity allows information in the data from the real world but absent in the theory to be drawn upon. The complexity is then reduced by the econometrician by a series of restrictions which are tested. One particular functional form, the error-correction model, is often arrived at when modelling time series. Denis Sargan and David Forbes Hendry (with his general-to-specific modeling) were key figures in the development of the approach and the one way the approach has been extended is through the work on integrated and cointegrated systems by Robert F. Engle, Clive Granger, and Søren Johansen. Another commonly used functional form is distributed lag or autoregressive distributed lag. David F. Hendry is considered to be the principal architect of the LSE approach. The methodology is often referred to as general-to-specific modelling, "Gets modeling" or "Hendry's methodology". The software package OxMetrics implements this process via the PcGive module Autometrics In the 1970s, when the LSE approach was in its infancy, Edward E. Leamer was an early critic of model discovery methodologies. The approach evolved to include: multiple reduction path searches, indicator saturation, COMFAC testing, and cointegrated vector autoregressive structures. Economists often associated with "Hendry's methodology" include Clive Granger, Robert F. Engle, Søren Johansen, Grayham Mizon, Jennifer Castle, Hans M. Krolzig, Neil Ericsson, and Jurgen Doornik.

References Favero, Carlo A. (2001). Applied Macroeconometrics. New York: Oxford University Press. pp. 132–161. ISBN 978-0-19-829685-0. Davis, G. C. (2005). "Clarifying the 'puzzle' between the Textbook and LSE approaches to econometrics: A comment on Cook's Kuhnian perspective on econometric modelling". Journal of Economic Methodology. 12 (1): 93–115. doi:10.1080/1350178042000330913. Gilbert, Christopher L. (1989). "LSE and the British approach to time series econometrics". Oxford Economic Papers. 41 (1): 108–128. doi:10.1093/oxfordjournals.oep.a041887. JSTOR 2663185. Juselius, Katarina (1999). "Models and Relations in Economics and Econometrics" (PDF). Journal of Economic Methodology. 6 (2): 259–290. doi:10.1080/13501789900000017.

Worked examples

Example 1 — a first encounter with LSE approach to econometrics

Start with the simplest possible case. Write down what LSE approach to econometrics 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 LSE approach to econometrics 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 LSE approach to econometrics 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 LSE approach to econometrics

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

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

Frequently asked questions

What is LSE approach to econometrics in simple terms?

The LSE approach to econometrics, named for the London School of Economics, involves viewing econometric models as reductions from some unknown data generation process (DGP). A complex DGP is typically modelled as the starting point and this complexity allows information in the data from the real w…

Why does LSE approach to econometrics 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 LSE approach to econometrics?

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 LSE approach to econometrics.

Tags

  • Econometrics
  • Econometrics stubs

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