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Everything about First-difference estimator

Estimator in statistics and econometrics

In statistics and econometrics, the first-difference (FD) estimator is an estimator used to address the problem of omitted variables with panel data. It is consistent under the assumptions of the fixed effects model. In certain situations it can be more efficient than the standard fixed effects estimator, for example when the error terms follows a random walk. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: First-difference estimatorA 5-minute orientation
  2. Pick up a classic book: Imitation of ChristThe most-reprinted book on the subject
  3. Read the landmark paper: First-difference estimator for panel censored-selection modelsCited 12 times
  4. Go sideways: Fixed-effect Poisson modelA closely related topic
  5. Go sideways: Panel analysisA closely related topic

đź“– Definitions

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🗂️ The subject at a glance

  1. Derivation
  2. Properties
  3. Relation to fixed effects estimator

🏆 Landmark papers (most cited)

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics