Tania Treibich

Rational Heuristics? Expectations and Behaviors in Evolving Economies with Heterogeneous Interacting Agents

We analyze the individual and macroeconomic impacts of heterogeneous expectations and action rules within an agent-based model populated by heterogeneous, interacting firms. Agents have to cope with a complex evolving economy characterized by deep uncertainty resulting from technical change, imperfect information and coordination hurdles. In these circumstances, we find that neither individual nor macroeconomic dynamics improve when agents replace myopic expectations with less naive learning rules. In fact, more sophisticated, e.g. recursive least squares (RLS) expectations produce less accurate individual forecasts and also considerably worsen the performance of the economy. Finally, we experiment with agents that adjust simply to technological shocks, and we show that individual and aggregate performances dramatically degrade. Our results suggest that fast and frugal robust heuristics are not a second-best option: rather they are “rational” in macroeconomic environments with heterogeneous, interacting agents and changing “fundamentals”.

Micro and macro policies in the Keynes + Schumpeter evolutionary models

This paper presents the family of the Keynes+Schumpeter (K+S, cf. Dosi et al, 2010, 2013, 2014) evolutionary agent-based models, which study the effects of a rich ensemble of innovation, industrial dynamics and macroeconomic policies on the long-term growth and short-run fluctuations of the economy. The K+S models embed the Schumpeterian growth paradigm into a complex system of imperfect coordination among heterogeneous interacting firms and banks, where Keynesian (demand-related) and Minskian (credit cycle) elements feed back into the meso and macro dynamics. The model is able to endogenously generate long-run growth together with business cycles and major crises. Moreover, it reproduces a long list of macroeconomic and microeconomic stylized facts. Here, we discuss a series of experiments on the role of policies affecting i) innovation, ii) industry dynamics, iii) demand and iv) income distribution. Our results suggest the presence of strong complementarities between Schumpeterian (technological) and Keynesian (demand-related) policies in ensuring that the economic system follows a path of sustained stable growth and employment. Keywords :agent-based model, fiscal policy, economic crises, austerity policies, disequilibrium dynamics Jel : C63, E32, E6, E52, G01, G21, O4

The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter

In this work, we employ the Keynes+Schumpeter (K+S) agent-based model (Dosi et al., 2010, 2013, 2015) to compare short- and long-run effects of Keynesian fiscal policies vis-a-vis austerity rules.

Sectoral co-movements of employment growth at regional level

ABSTRACT This paper presents a comprehensive study of sectoral co-movements of employment growth in the entire Dutch economy. We construct different macro typologies according to manufacturing versus services, innovativeness, labour skills and position in the value chain, thus expanding the list of potential logics of sectoral interrelations. Using a vector autoregression model, we assess whether and how growth in a macro-sector, and in a given region, can predict growth in the same or other macro-sectors, in the same or in other regions. Our findings bring to light the inter-regional nature of intersectoral linkages, as well as the existence of complementarities between sectors. Supporting the growth of innovative firms could have positive externality effects, especially in the Knowledge-Intensive Business Services sector which is associated with the growth of the entire economy.