The main task of this work is to develope a model able to encompass, at the same time, Keynesian, demand-driven, and Marxian, profit-driven determinants of fluctuations. Our starting point is the Goodwin's model (1967), rephrased in discrete time and extended by means of a coupled dynamics...

This paper, using a long-term, product-level cross-country dataset, analyzes the trade-growth nexus by introducing two novel indicators able to capture demand and supply attributes of countries' quality of specialization. The Keynesian efficiency index measures demand attractiveness of the...

This paper, using a long-term, product-level, cross-country dataset, analyzes the trade–growth nexus by introducing two novel indicators able to capture demand and supply attributes of countries’ quality of specialization. The Keynesian efficiency index measures demand attractiveness of the...

This paper presents an Agent-Based Model (ABM) that seeks to explain the concordance of sluggish growth of productivity and of real wages found in macro-economic statistics, and the increased dispersion of firm productivity and worker earnings found in micro level statistics in advanced...

This paper presents an Agent-Based Model (ABM) that seeks to explain the concordance of sluggish growth of productivity and of real wages found in macro-economic statistics, and the increased dispersion of firm productivity and worker earnings found in micro level statistics in advanced...

This paper highlights new findings on the wage-productivity nexus in the World Factory Economy. After presenting the long-run macro-elasticity characterizing the phase of Chinese economic development since the eighties, we look at the wage-productivity nexus from a micro level perspective using...

This paper presents an Agent-Based Model (ABM) that seeks to explain the concordance of sluggish growth of productivity and of real wages found in macro-economic statistics, and the increased dispersion of firm productivity and worker earnings found in micro level statistics in advanced...