We study an endogenous growth model where a profit-motivated R and D sector coexists with the introduction of free blueprints invented by philanthropists. These goods are priced at marginal cost, contrary to proprietary ones which are produced by a monopoly owned by the inventor. We show that...

This paper considers a dynamic model of the evolution of open source software projects, focusing on the evolution of quality, contributing programmers, and users who contribute customer support to other users. Programmers who have used open source software are motivated by reciprocal altruism to...

This study is framed against the increasingly stringent environmental demands on the pulp and paper industry since the late-1980s to reduce water and air pollution, and the global economic slowdown of the early-1990s. The primary focus of this paper is an observation-based analysis conducted by...

Computers are an important part of modern education, yet large segments of the population - especially low-income and minority children - lack access to a computer at home. Does this impede educational achievement? We test this hypothesis by conducting the largest-ever field experiment involving...

We estimate the relationship between students ̕educational achievement and the availability and use of computers at home and at school in the international student-level PISA database. Bivariate analyses show a positive correlation between student achievement and the availability of computers...

Artificial intelligence (AI) is starting to pervade the economic and social life rendering strategic interactions with artificial agents more and more common. At the same time, experimental economic research has increasingly employed computer players to advance our understanding of strategic...

We examine how the adoption of digital automation technology affects labor demand, operations and profitability in the context of the logistics industry. Our data covers 9,300 digital automation projects in a multinational company involving service robots and machine learning-based software from...

Education policy-makers and practitioners want to know which policies and practices can best achieve their goals. But research that can inform evidence-based policy often requires complex methods to distinguish causation from accidental association. Avoiding econometric jargon and technical...

This paper considers the problems facing decision-makers using econometric models in real time. It identifies the key stages involved and highlights the role of automated systems in reducing the effect of data snooping. It sets out many choices that researchers face in construction of automated...