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  2. Deadweight loss - Wikipedia

    en.wikipedia.org/wiki/Deadweight_loss

    In modern economic literature, the most common measure of a taxpayer's loss from a distortionary tax, such as a tax on bicycles, is the equivalent variation, the maximum amount that a taxpayer would be willing to forgo in a lump sum to avoid the tax. The deadweight loss can then be interpreted as the difference between the equivalent variation ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    List of GitHub repositories for the project: GitHub repositories This data is not pre-processed List of GitHub repositories for the project: Red Hat This data is not pre-processed List of GitHub repositories of the project: Kubernetes Patterns This data is not pre-processed List of GitHub repositories of the project

  4. Economics of open data - Wikipedia

    en.wikipedia.org/wiki/Economics_of_open_data

    The economics of open data refers to the production, or loss, of wealth related to the use of open data. The cost of open data is a primary concern that can deter governments any companies from the opening up of data. [ 1 ]

  5. Excess burden of taxation - Wikipedia

    en.wikipedia.org/wiki/Excess_burden_of_taxation

    A common position in economics is that the costs in a cost-benefit analysis for any tax-funded project should be increased according to the marginal cost of funds, because that is close to the deadweight loss that will be experienced if the project is added to the budget, or to the deadweight loss removed if the project is removed from the budget.

  6. Chained volume series - Wikipedia

    en.wikipedia.org/wiki/Chained_volume_series

    A chained volume series is a series of economic data (such as GDP, GNP or similar kinds of data) from successive years, put in real (or constant, i.e. inflation- and deflation-adjusted) terms by computing the aggregate value of the measure (e.g. GDP or GNP) for each year using the prices of the preceding year, and then 'chain linking' the data together to obtain a time-series of figures from ...

  7. Data envelopment analysis - Wikipedia

    en.wikipedia.org/wiki/Data_envelopment_analysis

    Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. [1] DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications [2] [3] [4] Additionally, DEA has been used to assess the performance of natural language ...

  8. Computational economics - Wikipedia

    en.wikipedia.org/wiki/Computational_economics

    Computational tools for economics include a variety of computer software that facilitate the execution of various matrix operations (e.g. matrix inversion) and the solution of systems of linear and nonlinear equations. Various programming languages are utilized in economic research for the purpose of data analytics and modeling.

  9. Index of Sustainable Economic Welfare - Wikipedia

    en.wikipedia.org/wiki/Index_of_Sustainable...

    The most famous examples of this development are the MEW index developed by William Nordhaus and James Tobin in their Measure of Economic Welfare (MEW) in 1972, the Japanese Net National Welfare (NNW) indicator in 1973, the Economic Aspects of Welfare index (EAW) index of Zolatas in 1981, the ISEW indicator of Daly and Cobb in 1989 and the UN's ...