Conventional economics supposes that agents value the present vs. the future using an exponential discounting function. In contrast, experiments with animals and humans suggest that agents are better described as hyperbolic discounters, whose discount function decays much more slowly at large...

Analysis of properties of the global trade network has generated new insights into the patterns of economic development across countries. The Economic Complexity Index (ECI), in particular, has been successful at explaining cross-country differences in GDP/capita and economic growth. The ECI...

How is work distributed across individuals within society? And what can this tell us about career transition possibilities and job switching opportunities? This paper investigates the network structure of the division of labour by analysing discrete work activities that people undertake in...

The current model of economic growth generated unprecedented increases in human wealth and prosperity during the 19th and 20th centuries. The main mechanisms have been the rapid pace of technological and social innovation, human capital accumulation, and the conversion of resources and natural...

We study the cost of coal-fired electricity in the United States between 1882 and 2006 by decomposing it in terms of the price of coal, transportation cost, energy density, thermal efficiency, plant construction cost, interest rate, capacity factor, and operations and maintenance cost. The...

Since the beginning of the 2008 financial crisis almost half a trillion euros have been spent to financially assist EU member states in taxpayer-funded bail-outs. These crisis resolutions are often accompanied by austerity programs causing political and social friction on both domestic and...

We study a simplification of a previously proposed model of technology evolution to understand the behavior of performance curves, which describe how a technology improves with increasing cumulative production. The model decomposes a technology or production process into components that get...

A key challenge in modeling technological innovation is to predict future costs based on historical data. This is of great interest to academics, as well as decision makers both in the private and public sectors. For example, many corporate strategies, industry roadmaps, and government policies...