The work performed during the two years of the project's lifespan has largely fallen in line with what was originally envisaged and sketched out in the DoA. Both theoretical as well as extensive empirical and applied work has been carried out.
Roughly speaking, the first year consisted mainly of laying down the foundations of the core of the project by engaging in two main strands of activities:
1) Setting up of the project's management and dissemination infrastructure.
2) Extensive literature review, preliminary model formulation and data collection.
The second year saw the more substantive work being carried out, by engaging in five main strands of activities
3) Addressing the concerns raised at the first periodic review by revising a number of 1st-year deliverables
4) Empirical work on estimating key model parameters
5) Producing code for the various R&D modules and the DSGE model
6) Formulation of policy scenarios and model simulation
7) Creation of the online tool
With regard to the main results achieved, these are reflected in the production and timely submission of all the planned deliverables.
In terms of the numbered points above, the respective main relevant outputs are:
1)- A Communication Plan and the associated project website and social media accounts. Also, we laid out the preliminary specifications of the online interactive tool.
- A Data Management Plan
- A Impact and Innovation Plan
2) A series of working papers, mainly describing the theoretical underpinnings of the new models, as well as a number of datasets that were used in the estimation of the said models.
3) Revision of the following working papers:
D.2.2.1 Working paper examining productivity fluctuations in countries which only perform technology transfer rather than R&D
D.2.3.1 Working paper on examining medium frequency cycles in non-frontier countries
D.2.5.1 Working paper on market imperfections and institutional bottlenecks in incentivising R&I
D.2.6.1 Working paper introducing endogeneity in the complementarity between information technology and skill biased technical change.
D.3.2.1 Working paper describing the approach to and application of spatial heterogeneity
D.3.4.1 Working paper describing the methodology to incorporate human capital and intangible assets in the CGE model
4) A large number of estimated parameters needed for the R&D modules of each model.
5) All models fully coded
6) One common scenario for all the models, as well as model-specific scenarios
7) www.monroe-toolkit.eu
