I distinguish two types of macroeconomic models. The first type are top-down models in which some or all agents are capable of understanding the whole picture and use this superior information to determine their optimal plans. The second type are bottom-up models in which all agents experience...

Predator-prey relationships account for an important part of all interactions between species. In this paper we provide a microfoundation for such predator-prey relations in a food chain. Basic entities of our analysis are representative organisms of species modelled similar to economic...

In this paper we develop a micro ecosystem model whose basic entities are representative organisms which behave as if maximizing their net offspring under constraints. Net offspring is increasing in prey biomass intake, declining in the loss of own biomass to predators and Allee's Law applies....

The weak rationality principle is not an empirical statement but a heuristic rule of how to proceed in social sciences. It is a necessary ingredient of any ‘understanding’ social science in the Weberian sense. In this paper, first this principle and its role in economic theorizing is...

We develop a behavioral macroeconomic model in which agents use simple but biased rules to forecast future output and inflation. This model generates endogenous waves of optimism and pessimism ("Animal Spiritsʺ) that are generated by the correlation of biased beliefs. We contrast the dynamics...

The business cycles theories of Wicksell (1898), Schumpeter (1912), Mises (1912), Hayek (1929, 1935) and Minsky (1986, 1992) explain business cycles by distorted prices on capital markets, buoyant credit expansion and overinvestment. The exuberance during the boom endogenously causes the...

In our dynamic optimizing sticky price model, agents are heterogeneous with regard to their age and their productivity. We find that the business cycle dynamics in the OLG model in response to both a technology shock and a monetary shock are similar, but not completely identical to those found...