Search results for "Mathematical Economics"

showing 10 items of 240 documents

On the Impossibility of Calculating the Product Technology in the Supply-Use Model

2009

The Supply-Use input-output model of the SNA and Eurostat is examined. For the product-by-product IO tables, two hypothesis are possible: "product technology", largely adopted (Eurostat A) and examined here, and "industry technology" (Eurostat B). One examines the calculability of the model. Negatives are an issue; (i) they are systematical in the inverse supply matrix: negative probabilities are impossible, Markov chains become impossible; (ii) negative flows are nonsense in symmetric matrix of coefficients or in inverse matrices. Matrices must be square what removes much of their interest. Same conclusions can be transposed to industry-by-industry IO tables under fixed-industry-sales-stru…

Input/outputMatrix (mathematics)EngineeringMarkov chainbusiness.industryProduct (mathematics)InverseSymmetric matrixImpossibilitybusinessMathematical economicsSquare (algebra)SSRN Electronic Journal
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New Developments in the Use of Location Quotients to Estimate Regional Input–Output Coefficients and Multipliers

2004

Tohmo T. (2004) New developments in the use of location quotients to estimate regional input–output coefficients and multipliers, Reg. Studies 38, 43–54. This study compares the survey-based regional input–output coefficients and production multipliers published by Statistics Finland, 2000, with estimates obtained by applying location quotients (LQs) to national data. The consequences of using alternative adjustment formulae, the ‘SLQ, CILQ and FLQ’ are illustrated by an input–output model constructed for the Keski-Pohjanmaa (K-P) region. The results indicate that the SLQ and CILQ both produce highly misleading regional input–output coefficients and multipliers. These adjustment formulae ar…

Input/outputRegional planningEconometricsGeneral Social SciencesProduction (economics)Mathematical economicsNational dataQuotientGeneral Environmental ScienceMathematicsLocal policyRegional Studies
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Reciprocal vs nonreciprocal trade agreements: Which have been best to promote exports?

2019

The Doha Development Agenda recognizes the central role that international trade can play in the promotion of economic development. In fact, the increase of exports from developing countries to developed nations' markets has been considered a key element for developing countries to realize the potential benefits of globalization. Over the last decades, developed countries have provided preferential access to their markets to developing countries through nonreciprocal trade agreements. Moreover, developing countries have also participated in reciprocal trade agreements. This paper re-examines comparatively the effect of both kinds of trade agreements on exports from developing countries but …

InternationalityEconomicsInternational CooperationSocial Scienceslcsh:MedicineGeographical locationsPromotion (rank)ArgumentEconomics050207 economicslcsh:Science050205 econometrics media_commonMultidisciplinary05 social sciencesCommerceTurkey (Country)EuropeMathematical EconomicsMoroccoModels EconomicPhysical SciencesEconomic DevelopmentDeveloped countryReciprocalResearch ArticleAsiamedia_common.quotation_subjectIndiaDeveloping countryGlobalizationDevelopment Economics0502 economics and businessmedia_common.cataloged_instanceEuropean UnionEconometricsEuropean unionDeveloping CountriesChile (Country)Developed Countrieslcsh:RInternational TradeInternational economicsSouth AmericaEconomic AnalysisAfricalcsh:QPeople and placesElement (criminal law)MathematicsPLOS ONE
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Explanatory Reasoning: A Probabilistic Interpretation

2016

This paper deals with inference guided by explanatory considerations –specifically with the prospects for a probabilistic interpretation of it. After pointing out some differences between two sorts of explanatory reasoning – i.e.: abduction and “inference to the best explanation” – in the first section I distinguish two tasks: (a) to discern which explanation is the best one; (b) to assess whether the best explanation deserves to be legitimately believed. In Sect. 20.2 I discuss some recent definitions of explanatory power based on “reduction of uncertainty” (Schupbach and Sprenger 2011; Crupi and Tentori 2012). Even though a probabilistic framework is a promising option here, I will argue …

Interpretation (logic)ExplicationDeductive reasoningComputer scienceProbabilistic logicInferenceModel-based reasoningExplanatory powerMathematical economicsProbabilistic argumentation
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A Note on added information in the RAS Procedure: reexamination of some evidence

2006

International audience; An example in Miernyk (1977) presented a rather counterintuitive result, namely that introducing accurate exogenous information into an RAS matrix estimating procedure could lead to an estimate that was worse than one generated by RAS using no exogenous information at all. This became an oft-cited black mark against RAS. Miller and Blair (1985) included a different (and small) illustration of the same possibility. It was recently pointed out by one of us that the Miller/Blair numerical results are wrong. For that reason, we decided to reexamine all the empirical evidence we could find on the subject. While figures in both Miernyk and Miller/Blair appear to be wrong, …

JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsCounterintuitiveClosenessJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisEnvironmental Science (miscellaneous)Development[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingInput-outputbiproportionEconometricsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceEmpirical evidenceMathematical economicsCounterexampleMathematicsRAS
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Normalizing biproportional methods

2002

International audience; Biproportional methods are used to update matrices: the projection of a matrix Z to give it the column and row sums of another matrix is R Z S, where R and S are diagonal and secure the constraints of the problem (R and S have no signification at all because they are not identified). However, normalizing R or S generates important mathematical difficulties: it amounts to put constraints on Lagrange multipliers, non negativity (and so the existence of the solution) is not guaranteed at equilibrium or along the path to equilibrium.

JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelsjel:C63Diagonaljel:C67JEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysismathematical economicsColumn (database)Projection (linear algebra)Combinatoricssymbols.namesakeMatrix (mathematics)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingmatricesJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and financesNon negativity[SHS.ECO] Humanities and Social Sciences/Economics and FinanceGeneral Environmental ScienceMathematicsJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsGeneral Social Sciences[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:D57community developmentJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingLagrange multiplierPath (graph theory)symbols
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Horizontal inequity comparisons

1998

In this paper, we expound the idea that horizontal inequity (HI) in different tax systems be compared by transplanting the HI from one tax system into the other, as a mapping between its pre- and post-tax living standard distributions, and then applying known results to compare the extent of association present in the two joint distributions. We make this idea operational by means of axioms which, we show, lead to an implementable procedure based on the `copula'. Statistical inference procedures are discussed, and illustrative empirical exercises are undertaken for the UK, Canadian and Israeli tax and benefit systems.

Joint probability distributionStatistical inferenceEconomicsAssociation (psychology)Mathematical economicsAxiomPublic financeWorking Paper Series
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The Duality of Entropy/Extropy, and Completion of the Kullback Information Complex

2018

The refinement axiom for entropy has been provocative in providing foundations of information theory, recognised as thoughtworthy in the writings of both Shannon and Jaynes. A resolution to their concerns has been provided recently by the discovery that the entropy measure of a probability distribution has a dual measure, a complementary companion designated as &ldquo

Kullback–Leibler divergenceSettore MAT/06 - Probabilita' E Statistica MatematicaLogarithmGeneral Physics and Astronomylcsh:Astrophysics02 engineering and technologyBregman divergenceMathematical proofInformation theory01 natural sciencesArticle010104 statistics & probabilityFermi–Dirac entropyKullback symmetric divergencelcsh:QB460-4660202 electrical engineering electronic engineering information engineeringEntropy (information theory)0101 mathematicslcsh:Sciencerelative entropy/extropyAxiomMathematics020206 networking & telecommunicationslcsh:QC1-999total logarithmic scoring ruleProbability distributiondualityPareto optimal exchangelcsh:QprevisionextropySettore SECS-S/01 - StatisticaentropyMathematical economicslcsh:PhysicsEntropy
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The Unintended Side Effects of Bioplastics: Carbon, Land, and Water Footprints

2020

(One Earth 3, 45–53, July 24, 2020) In the originally published version of this article, the authors inadvertently used global volumes of bioplastics in plastic packaging instead of European volumes for Figure 1C. After noticing this, the authors recalculated European bioplastic packaging consumption, and as such, Figure 1 and its legend have been corrected in the online article (as shown below) to reflect all data sources used for estimating European bioplastic volumes in Figure 1C. In the Experimental Procedures, the Data and Code Availability section has been updated, and the section “Estimation of European Bioplastic Volumes” has been added. Additionally, reference 69 is new, and two in…

Land footprintNatural resource economicsComputer scienceSection (typography)BioplasticProduct (business)PetrochemicalGreenhouse gasCarbon footprintEarth and Planetary Sciences (miscellaneous)medicineEnvironmental sciencemedicine.symptomPlastic pollutionMathematical economicsWater usePlastic packagingGeneral Environmental ScienceConfusionOne Earth
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Beyond black dots and nutritious things: A solution to the indeterminacy problem

2020

Linguistics and LanguagePhilosophymedia_common.quotation_subjectSociologyIndeterminacy problemFunction (engineering)Indeterminacy (literature)Mathematical economicsLanguage and LinguisticsNaturalismMechanism (sociology)media_commonMind & Language
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