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  2. Econometrics - Wikipedia

    en.wikipedia.org/wiki/Econometrics

    Econometrics is an application of statistical methods to economic data in order to give empirical content to economic relationships. [1] More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference."

  3. Methodology of econometrics - Wikipedia

    en.wikipedia.org/wiki/Methodology_of_Econometrics

    Econometrics may use standard statistical models to study economic questions, but most often they are with observational data, rather than in controlled experiments. [10] In this, the design of observational studies in econometrics is similar to the design of studies in other observational disciplines, such as astronomy, epidemiology, sociology and political science.

  4. Economic statistics - Wikipedia

    en.wikipedia.org/wiki/Economic_statistics

    Economic statistics is a topic in applied statistics and applied economics that concerns the collection, processing, compilation, dissemination, and analysis of economic data. It is closely related to business statistics and econometrics . [ 1 ]

  5. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    Two main statistical methods are used in ... (Econometrics is the application of statistical methods to economic data in order to give ... (PDF) on 2017-10 ...

  6. List of fields of application of statistics - Wikipedia

    en.wikipedia.org/wiki/List_of_fields_of...

    Econometrics is a branch of economics that applies statistical methods to the empirical study of economic theories and relationships. Environmental statistics is the application of statistical methods to environmental science. Weather, climate, air and water quality are included, as are studies of plant and animal populations.

  7. Bayesian econometrics - Wikipedia

    en.wikipedia.org/wiki/Bayesian_econometrics

    Driven by the rapid growth of computing capacities from the mid-1980s on, the application of Markov chain Monte Carlo simulation to statistical and econometric models, first performed in the early 1990s, enabled Bayesian analysis to drastically increase its influence in economics and econometrics. [6]

  8. Computational economics - Wikipedia

    en.wikipedia.org/wiki/Computational_economics

    Various machine learning methods such as the kernel method and random forest have been developed and utilized in data-mining and statistical analysis. These models provide superior classification, predictive capabilities, flexibility compared to traditional statistical models, such as that of the STAR method.

  9. Journal of the American Statistical Association - Wikipedia

    en.wikipedia.org/wiki/Journal_of_the_American...

    It is published four times a year in March, June, September and December by Taylor & Francis, Ltd on behalf of the American Statistical Association. As a statistics journal it publishes articles primarily focused on the application of statistics, statistical theory and methods in economic, social, physical, engineering, and health sciences. The ...