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  2. Causation in economics - Wikipedia

    en.wikipedia.org/wiki/Causation_in_economics

    Causation in economics has a long history with Adam Smith explicitly acknowledging its importance via his (1776) An Inquiry into the Nature and Causes of the Wealth of Nations and David Hume (1739, 1742, 1777) and John Stuart Mill (1848) both offering important contributions with more philosophical discussions.

  3. Bradford Hill criteria - Wikipedia

    en.wikipedia.org/wiki/Bradford_Hill_criteria

    The Bradford Hill criteria, otherwise known as Hill's criteria for causation, are a group of nine principles that can be useful in establishing epidemiologic evidence of a causal relationship between a presumed cause and an observed effect and have been widely used in public health research.

  4. Causality - Wikipedia

    en.wikipedia.org/wiki/Causality

    Causality is an influence by which one event, process, state, or object (a cause) contributes to the production of another event, process, state, or object (an effect) where the cause is at least partly responsible for the effect, and the effect is at least partly dependent on the cause. [1]

  5. Causal analysis - Wikipedia

    en.wikipedia.org/wiki/Causal_analysis

    Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. [1] Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the ...

  6. Causal research - Wikipedia

    en.wikipedia.org/wiki/Causal_research

    Causal research, is the investigation of (research into) cause-relationships. [ 1 ] [ 2 ] [ 3 ] To determine causality, variation in the variable presumed to influence the difference in another variable(s) must be detected, and then the variations from the other variable(s) must be calculated (s).

  7. Rubin causal model - Wikipedia

    en.wikipedia.org/wiki/Rubin_causal_model

    Rubin defines a causal effect: Intuitively, the causal effect of one treatment, E, over another, C, for a particular unit and an interval of time from to is the difference between what would have happened at time if the unit had been exposed to E initiated at and what would have happened at if the unit had been exposed to C initiated at : 'If an hour ago I had taken two aspirins instead of ...

  8. Dallas Stars' Tyler Seguin joins list of high-profile home ...

    www.aol.com/dallas-stars-tyler-seguin-joins...

    DALLAS — The home of Tyler Seguin, a longtime Dallas Stars leader and seven-time NHL All-Star, was burglarized last month. This is the second burglary of a high-profile athlete in North Texas ...

  9. Granger causality - Wikipedia

    en.wikipedia.org/wiki/Granger_causality

    Granger also stressed that some studies using "Granger causality" testing in areas outside economics reached "ridiculous" conclusions. [6] "Of course, many ridiculous papers appeared", he said in his Nobel lecture. [7] However, it remains a popular method for causality analysis in time series due to its computational simplicity.