Model Codes

Input Output Model-Covid-19 in Italy

Here you can find the R code of the model presented in "Assessing the economic effects of lockdowns in Italy: a dynamic Input-Output approach" (Reissl, S., Caiani, A., Lamperti, F., Guerini, M., Vanni, F., Fagiolo, G., Ferraresi, T., Ghezzi, L., Napoletano, M, Roventini, A., 2021), Industrial and Corporate Change (Oxford University Press), first online 2022.

Here you find the Python codes (use version 2.7) of the model presented in “The Effects of Fiscal Targets in a Monetary Union: a Multi-Country Agent Based-Stock Flow Consistent Model” (Caiani, A., Catullo, E. and Gallegati, M., 2018), Industrial and Corporate Change (Oxford University Press), 12/2018, Vol.27(6), pp.1123-1154
Here you find the Python codes (use version 2.7) of the model presented in “The Effects of Alternative Wage Regimes in a Monetary Union: A Multi-Country Agent Based-Stock Flow Consistent Model” (Caiani, A., Catullo, E. and Gallegati, M., 2019), Journal of Economic Behavior & Organization (Elsevier), 6/2019, Vol. 162, pp. 389-416.

See the JAVA Macro AB Simulation Toolkit section of this website for the codes of the models presented in the following papers:

“Agent Based-Stock Flow Consistent Macroeconomics: Towards a Benchmark Model” (Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S. and Stiglitz, J.), Journal of Economic Dynamics and Control (Elsevier), 6/2016, Vol.69“ are available
“Are Higher Wages Good for Business? An Assessment Under Alternative Innovation and Investment Scenarios” (Caiani, A., Russo, A. and Gallegati, M.), Macroeconomic Dynamics (Cambridge University Press). Published online by Cambridge University Press: 04 July 2018
“Monetary Policy Transmission in a Macroeconomic Agent Based Model” (Schasfoort, J., Godin, A., Bezemer, D., Caiani, A., and Kinsella, S., 2018), Advances in Complex Systems (World Scientific) 2018; Vol. 25(1).
“Does Inequality Hamper Innovation and Growth?” (Caiani, A., Russo, A. and Gallegati, M., 2018), Journal of Evolutionary Economics (Springer), 2/2018, Vol.29 (1), pp.177-228.

Here you find the Python codes of the model presented in “Innovation Dynamics and Industry Structure under Different Technological Spaces” (Caiani, A.), accepted for publication on the Italian Economic Journal (Springer), former Rivista Italiana degli Economisti, 03/2017; Vol.3(3).

Here the Mathematica scripts of the model presented in “A Stock Flow Consistent Analysis of a Schumpeterian Innovation Economy” (Caiani, A., Godin, A., and Lucarelli, S., 2014), Metroeconomica (Wiley), 7/2014, Vol. 65(3).

Here the Mathematica scripts of the model presented in “Innovation and Finance: an SFC Analysis of Great Surges of Development” (Caiani, A., Godin, A., and Lucarelli, S.), Journal of Evolutionary Economics (Springer) 03/2014; Vol 24(2).

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