tag:joss.theoj.org,2005:/papers/tagged/economicsJournal of Open Source Software2024-01-06T16:43:17ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44972024-01-06T16:43:17Z2024-01-30T20:19:57ZQuantEcon.py: A community based Python library for quantitative economicsacceptedv0.7.02023-05-20 09:28:42 UTC932024-01-06 16:43:17 UTC920245585QuentinBatistaMassachusetts Institute of TechnologyChaseColemanNew York UniversityYuyaFurusawaCrop.incShuHuThe Australian National UniversitySmitLunagariyaIndian Institute of Technology (BHU), VaranasiSpencerLyonNew York UniversityMatthewMcKayThe Australian National UniversityDaisukeOyamaUniversity of TokyoThomasJ.SargentNew York UniversityZejinShiThe University of ArizonaJohnStachurskiThe Australian National UniversityPabloWinantESCP Business School and Ecole PolytechniqueNatashaWatkinsThe Australian National UniversityZiyueYangThe Australian National UniversityHengchengZhangThe Australian National University10.21105/joss.05585https://doi.org/10.5281/zenodo.10345102Pythonhttps://joss.theoj.org/papers/10.21105/joss.05585.pdfEconomicstag:joss.theoj.org,2005:Paper/39542023-07-12T12:43:05Z2023-07-13T00:01:26Zsfctools - A toolbox for stock-flow consistent, agent-based modelsaccepted1.0.02022-10-11 19:54:56 UTC872023-07-12 12:43:05 UTC820234980ThomasBaldaufGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-9119-741310.21105/joss.04980https://doi.org/10.5281/zenodo.8118870Python, Roffhttps://joss.theoj.org/papers/10.21105/joss.04980.pdfAgent-Based Modeling, Stock-Flow Consistent Modeling, User Interface, Economicstag:joss.theoj.org,2005:Paper/36982022-11-03T14:14:40Z2022-11-04T00:01:25ZBlack-it: A Ready-to-Use and Easy-to-Extend Calibration Kit for Agent-based Modelsacceptedv0.1.12022-07-01 17:32:40 UTC792022-11-03 14:14:40 UTC720224622MarcoBenedettiBanca d'Italia, ItalyGennaroCatapanoBanca d'Italia, ItalyFrancescoDe SclavisBanca d'Italia, ItalyMarcoFavoritoBanca d'Italia, Italy0000-0001-9566-3576AldoGlielmoBanca d'Italia, Italy0000-0002-4737-2878DavideMagnanimiBanca d'Italia, Italy0000-0002-6560-8047AntonioMuciBanca d'Italia, Italy10.21105/joss.04622https://doi.org/10.5281/zenodo.7273564Pythonhttps://joss.theoj.org/papers/10.21105/joss.04622.pdfagent-based models, calibration, benchmarking, computational economicstag:joss.theoj.org,2005:Paper/33342022-09-12T18:22:12Z2022-10-11T07:59:08ZBCEA: An R Package for Cost-Effectiveness Analysisacceptedv2.4.12022-02-11 12:33:38 UTC772022-09-12 18:22:12 UTC720224206NathanGreenDepartment of Statistical Science, UCL, Torrington Place, UK.0000-0003-2745-1736AnnaHeathDepartment of Statistical Science, UCL, Torrington Place, UK., Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada., Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.0000-0002-7263-4251GianlucaBaioDepartment of Statistical Science, UCL, Torrington Place, UK.0000-0003-4314-257010.21105/joss.04206https://doi.org/10.5281/zenodo.7040450R, Stanhttps://joss.theoj.org/papers/10.21105/joss.04206.pdfHTA, health economics, cost-effectivenesstag:joss.theoj.org,2005:Paper/33332022-07-06T11:31:24Z2022-10-12T06:30:02Zausdex: A Python package for adjusting Australian dollars for inflationacceptedv0.2.22022-02-11 10:04:25 UTC752022-07-06 11:31:24 UTC720224212RobertTurnbullMelbourne Data Analytics Platform, University of Melbourne0000-0003-1274-6750JonathanGarberMelbourne Data Analytics Platform, University of Melbourne0000-0001-6754-474810.21105/joss.04212https://doi.org/10.26188/20226120.v1Pythonhttps://joss.theoj.org/papers/10.21105/joss.04212.pdfeconomics, inflationtag:joss.theoj.org,2005:Paper/29202022-02-10T03:42:24Z2022-02-11T00:01:17ZNempy: A Python package for modelling the Australian National Electricity Market dispatch procedureacceptedv1.0.12021-08-04 08:37:06 UTC702022-02-10 03:42:24 UTC720223596NicholasGormanSchool of Photovoltaics and Renewable Energy Engineering, University of New South Wales, Australia, Collaboration on Energy and Environmental Markets (CEEM), University of New South Wales, AustraliaAnnaBruceSchool of Photovoltaics and Renewable Energy Engineering, University of New South Wales, Australia, Collaboration on Energy and Environmental Markets (CEEM), University of New South Wales, AustraliaIainMacGillSchool of Electrical Engineering and Telecommunications, University of New South Wales, Australia, Collaboration on Energy and Environmental Markets (CEEM), University of New South Wales, Australia10.21105/joss.03596https://doi.org/10.5281/zenodo.5989170Pythonhttps://joss.theoj.org/papers/10.21105/joss.03596.pdfelectricity markets, economic dispatch, Australian National Electricity Market, NEM, dispatchtag:joss.theoj.org,2005:Paper/28012021-09-09T07:10:47Z2021-09-10T00:03:40Zepimargin: A Toolkit for Epidemiological Estimation, Prediction, and Policy Evaluationacceptedv0.5.22021-06-18 06:52:41 UTC652021-09-09 07:10:47 UTC620213464SatejSomanMansueto Institute for Urban Innovation, University of Chicago0000-0001-8450-7025CaitlinLoftusMansueto Institute for Urban Innovation, University of ChicagoStevenBuschbachMansueto Institute for Urban Innovation, University of ChicagoManasiPhadnisMansueto Institute for Urban Innovation, University of ChicagoLuísM. a.BettencourtMansueto Institute for Urban Innovation, University of Chicago, Department of Ecology & Evolution, University of Chicago, Department of Sociology, University of Chicago, Santa Fe Institute0000-0001-6176-516010.21105/joss.03464https://doi.org/10.5281/zenodo.5430698Pythonhttps://joss.theoj.org/papers/10.21105/joss.03464.pdfepidemiology, stochastic processes, economics, COVID-19, Bayesian inferencetag:joss.theoj.org,2005:Paper/25792021-08-06T20:25:37Z2021-08-07T00:02:25Zautumn: A Python library for dynamic modelling of captured CO_2 cost potential curvesaccepted0.1.02021-04-16 16:06:59 UTC642021-08-06 20:25:37 UTC620213203E.ArellanoGerman Aerospace Center (DLR), Department of Energy Systems Analysis, Institute of Networked Energy Systems, Stuttgart, Germany0000-0003-2508-3976N.WulffGerman Aerospace Center (DLR), Department of Energy Systems Analysis, Institute of Networked Energy Systems, Stuttgart, GermanyB.FuchsGerman Aerospace Center (DLR), Department of Energy Systems Analysis, Institute of Networked Energy Systems, Stuttgart, GermanyW.HuGerman Aerospace Center (DLR), Department of Energy Systems Analysis, Institute of Networked Energy Systems, Stuttgart, Germany10.21105/joss.03203https://doi.org/10.5281/zenodo.5163098Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.03203.pdfenvironment, technology, economics, data analysis, modellingtag:joss.theoj.org,2005:Paper/15292020-04-17T15:10:52Z2021-02-15T11:30:56ZMatching: A Python library for solving matching gamesacceptedv1.2.12020-02-28 13:00:23 UTC482020-04-17 15:10:52 UTC520202169HenryWildeSchool of Mathematics, Cardiff University0000-0002-3788-7691VincentKnightSchool of Mathematics, Cardiff University0000-0002-4245-0638JonathanGillardSchool of Mathematics, Cardiff University0000-0001-9166-298X10.21105/joss.02169https://doi.org/10.5281/zenodo.3755304Pythonhttps://joss.theoj.org/papers/10.21105/joss.02169.pdfmathematics, economics, computer science, game theory, stabilitytag:joss.theoj.org,2005:Paper/12162020-02-19T20:42:51Z2021-02-15T11:31:37ZEconomiccomplexity: Computational Methods for Economic Complexityaccepted0.2.12019-09-13 15:39:07 UTC462020-02-19 20:42:51 UTC520201866MauricioVargasPontifical Catholic University of Chile0000-0003-1017-757410.21105/joss.01866https://doi.org/10.5281/zenodo.3671843Rhttps://joss.theoj.org/papers/10.21105/joss.01866.pdfeconomic complexity, international trade, income inequality, migration