Explore the words cloud of the MONROE project. It provides you a very rough idea of what is the project "MONROE" about.
The following table provides information about the project.
MINISTERIE VAN INFRASTRUCTUUR EN WATERSTAAT
|Coordinator Country||Netherlands [NL]|
|Total cost||1˙818˙715 €|
|EC max contribution||1˙498˙902 € (82%)|
1. H2020-EU.3.6.2. (Innovative societies)
|Duration (year-month-day)||from 2017-01-01 to 2019-03-31|
Take a look of project's partnership.
|1||MINISTERIE VAN INFRASTRUCTUUR EN WATERSTAAT||NL (DEN HAAG)||coordinator||330˙422.00|
|2||E3-MODELLING AE||EL (ATHINA)||participant||329˙701.00|
|3||UNIVERSITY OF SURREY||UK (GUILDFORD)||participant||322˙551.00|
|4||CAMBRIDGE ECONOMETRICS LIMITED||UK (CAMBRIDGE)||participant||259˙826.00|
|5||ZEW - LEIBNIZ-ZENTRUM FUR EUROPAISCHE WIRTSCHAFTSFORSCHUNG GMBH MANNHEIM||DE (MANNHEIM)||participant||256˙401.00|
|6||UNIVERSITAET ST. GALLEN||CH (ST GALLEN)||participant||0.00|
MONROE aims at developing a modelling toolkit that would allow a broad range of stakeholders such as European and national governments, academia, regional and local bodies to quantitatively evaluate the impacts of their specific R&I policies and programmes. The toolkit will assess medium and long-term impacts of R&I policies and programmes on economic growth, job creation, competitiveness, social inequality and sustainability at various geographical levels ranging from word-wide to European, country and regional levels and for various economic sectors. Using innovative modelling methodologies and online visualisation techniques the developed toolkit will encourage collaboration between different societal actors in the process of co-creation for sustainable R&I driven economic growth.
|D4.2.2 Technical description of the R&I module of PACE model||Documents, reports||2019-11-13 09:50:38|
|D1.1.1 Regular Progress Report M12||Documents, reports||2019-11-13 09:50:38|
|D6.3.5 Comprehensive set of model results from the RHOMOLO model||Open Research Data Pilot||2019-11-13 09:50:39|
|D1.1.1 Regular Progress Report M6||Documents, reports||2019-11-13 09:50:38|
|D1.1.2 Internal/External Coordination Meetings and Report M18||Documents, reports||2019-11-13 09:50:39|
|D6.3.2 Comprehensive set of model results from the E3ME model||Open Research Data Pilot||2019-11-13 09:50:39|
|D3.1.1 Working paper describing the approach for estimating models without balanced growth paths.||Documents, reports||2019-11-13 09:50:38|
|D3.2.1 Working paper describing the approach to and application of spatial heterogeneity||Documents, reports||2019-11-13 09:50:38|
|D2.6.1 Working paper introducing endogeneity in the complementarity between information technology and skill biased technical change.||Documents, reports||2019-11-13 09:50:38|
|D7.3.1 Online interactive tool for the assessment of effects of R&I and R&I policies and programmes||Websites, patent fillings, videos etc.||2019-11-13 09:50:39|
|D4.3.2 Technical description of the R&I module of GEM-E3-RD model||Documents, reports||2019-11-13 09:50:38|
|D5.2 Compendium of new evidence for macro-models with endogenous research and innovation||Open Research Data Pilot||2019-11-13 09:50:39|
|D6.2.2 Description of scenarios and output indicators that will be assessed in MONROE||Documents, reports||2019-11-13 09:50:39|
|D4.5.2 Technical description of the R&I module of RHOMOLO model||Documents, reports||2019-11-13 09:50:39|
|D2.1.1 Working paper introducing financial frictions into a model of endogenous growth and entry||Documents, reports||2019-11-13 09:50:38|
|D7.3.2 User manual for the use of the developed interactive online tool||Documents, reports||2019-11-13 09:50:39|
|D2.2.1 Working paper examining productivity fluctuations in countries which only perform technology transfer rather than R&D||Documents, reports||2019-11-13 09:50:38|
|D6.5.1 Technical description of the MONROE meta-model||Documents, reports||2019-11-13 09:50:39|
|D6.4.2 Key messages and recommendations for policy makers from the results||Documents, reports||2019-11-13 09:50:39|
|D3.1.2 Open source code implementing the approach as an add-in to Dynare||Other||2019-11-13 09:50:38|
|D4.1.3 Working paper describing the DSGE model for Europe||Documents, reports||2019-11-13 09:50:38|
|D2.4.1 Working paper on modelling stochastic public R&I decisions including financial constraints||Documents, reports||2019-11-13 09:50:38|
|D3.4.1 Working paper describing the methodology to incorporate human capital and intangible assets in the CGE model||Documents, reports||2019-11-13 09:50:38|
|D2.5.1 Working paper on market imperfections and institutional bottlenecks in incentivising R&I||Documents, reports||2019-11-13 09:50:38|
|D2.6.2 Working paper on modeling the the effect of different types of government interventions on the distribution of income and inequality.||Documents, reports||2019-11-13 09:50:38|
|D2.3.1 Working paper on examining medium frequency cycles in non-frontier countries||Documents, reports||2019-11-13 09:50:38|
|D1.1.1 Regular Progress Report M27||Documents, reports||2019-11-13 09:50:39|
|D6.2.1 Description of baseline case to be used in the models||Documents, reports||2019-11-13 09:50:39|
|D1.1.1 Regular Progress Report M18||Documents, reports||2019-11-13 09:50:39|
|D3.4.2 Working paper describing the representation of the role of human capital in creating knowledge, absorbing spillovers and the importance of skilled labour migration||Documents, reports||2019-11-13 09:50:38|
|D3.3.1 Working paper describing the method of introducing capital product and process innovation||Documents, reports||2019-11-13 09:50:38|
|D6.4.1 Technical description of the modelling results, including interpretation of the differences between the outcomes from the three models||Documents, reports||2019-11-13 09:50:39|
|D6.3.4 Comprehensive set of model results from the PACE model||Open Research Data Pilot||2019-11-13 09:50:39|
|D6.3.3 Comprehensive set of model results from the DSGE model||Open Research Data Pilot||2019-11-13 09:50:39|
|D4.4.2 Technical description of the R&I module of E3ME model||Documents, reports||2019-11-13 09:50:38|
|D6.3.1 Comprehensive set of model results from the GEM-E3 model||Open Research Data Pilot||2019-11-13 09:50:39|
|D4.1.2 Documentation and results of estimating the new DSGE model with endogenous growth for Europe||Documents, reports||2019-11-13 09:50:38|
Take a look to the deliverables list in detail: detailed list of MONROE deliverables.
|year||authors and title||journal||last update|
Angus C. Chu, Guido Cozzi, Haichao Fan, Yuichi Furukawa, Chih-Hsing Liao
Innovation and inequality in a monetary Schumpeterian model with heterogeneous households and firms
published pages: 141-164, ISSN: 1094-2025, DOI: 10.1016/j.red.2019.03.006
|Review of Economic Dynamics 34||2019-11-13|
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The information about "MONROE" are provided by the European Opendata Portal: CORDIS opendata.
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