How does working-time flexibility affect workers' productivity in a routine job? Evidence from a field experiment

We conducted an experiment in which we hired workers under different types of contracts to evaluate how flexible working time affects on-the-job productivity in a routine job. Our approach breaks down the global impact on productivity into sorting and behavioural effects. We find that flexible arrangements that allow workers to decide when to start and stop working increase global productivity by as much as 50%, 40% of which is induced by sorting, and 60% represents a motivational effect, mainly driven by more effective working time, with workers reducing the length of their breaks. Our findings also suggest that part-time contracts can enhance global productivity, – though not significant at conventional levels –, and that this effect is also driven by a significant drop in the length of breaks taken. We hence contribute to the literature providing causal evidence of flexibility in routine jobs leading to higher productivity.     

Scientific research,firm heterogeneity,and foreign R&D locations of multinational firms

We examine the influence of host countries’ scientific research strengths on global R&D location choices by multinational firms. In an analysis of 277 new R&D activities identified for 175 firms in 40 host countries and 30 technology fields, we find that the strength of relevant university research positively affects the likelihood that host countries attract foreign R&D. When allowing for firm heterogeneity, university scientific research appears only a significant factor for firms with a strong science orientation in their R&D activities. Host countries’ corporate scientific research has no systematic influence on R&D location choices. Empirical results are replicated in an analysis at the regional level covering regions in Europe, the United States, and Japan.     

UNIVERSITY RESEARCH, INTELLECTUAL PROPERTY RIGHTS AND EUROPEAN INNOVATION SYSTEMS

Abstract This paper surveys the literature on university patenting. From the point of view of the economic theory of patents, it is argued that patenting knowledge developed by university researchers is paradoxical: patents are normally intended to stimulate knowledge development by providing property rights, but universities operate also under a different incentive scheme, i.e. they receive public funds to perform socially useful knowledge. In the debate surrounding the so‐called Bayh‐Dole Act in the USA, it has, however, been argued that patents on university inventions may be necessary to stimulate technology transfer from universities to private firms. The first part of the paper addresses two major questions. First, what is the economic logic of Bayh‐Dole, and, second, what were the effects on universities and the knowledge they develop? In the second part, the paper addresses the issue of whether ‘Bayh‐Dole‐like’ legislation would be beneficial for European countries. In a number of European countries, a suggestion has been made that this could enhance knowledge transfer from the public to the private sector. Using a new database resulting from a survey among patent inventors in six European countries, an assessment is given of the degree of university patenting in Europe. Because university researchers are often involved in patented inventions without the university being listed as a patent applicant, statistics based on the patent office databases alone often underestimate university patenting in Europe. The paper ends with a discussion of how this ‘European practice’ of university patenting affects public–private knowledge transfer in Europe, and how this compares to the effects of the Bayh‐Dole Act in the USA.     

Segmented risk sharing in a continuous-time setting

Summary. The economy we study is comprised of a continuum of individuals. Each has a stochastic endowment that evolves continuously and independently of all other individuals' endowment processes. Individuals are risk averse and would therefore like to insure their endowment processes. The mutual independence of their endowment processes makes it feasible for them to obtain this insurance by pooling their endowments. We investigate whether such a scheme would survive as an equilibrium in a noncooperative setting. Received: October 16, 2000; revised version: August 8, 2001     

Exploring the implications of the internet for consumer marketing

Past commentaries on the potential impact of the Internet on consumer marketing have typically failed to acknowledge that consumer markets are heterogeneous and complex and that the Internet is but one possible distribution, transaction, and communication channel in a world dominated by conventional retailing channels. This failure has led to excessively broad predictions regarding the effect of the Internet on the structure and performance of product and service markets. The objective of this article is to provide a framework for understanding possible impacts of the Internet on marketing to consumers. This is done by analyzing channel intermediary functions that can be performed on the Internet, suggesting classification schemes that clarify the potential impact of the Internet across different products and services, positioning the Internet against conventional retailing channels, and identifying similarities and differences that exist between them. The article concludes with a series of questions designed to stimulate the development of theory and strategy in the context of Internet-based marketing. Robert A. Peterson holds the John T. Stuart III Centennial Chair in Business Administration and is the Charles E. Hurwitz fellow at the University of Texas at Austin. A former editor of theJournal of the Academy of Marketing Science andJournal of Marketing Research, he currently chairs the board of governors of the Academy of Marketing Science. His research interests include the competitive and cooperative interface between electronic and traditional retail channels, customer equity modeling, and the application of options theory in marketing. His research interests are psychological models of economic behavior, consumer choice and choice protocols, and advertising. His work has been published in theJournal of Marketing Research, Marketing Science, Journal of Retailing and Consumer Service, andR&D Management.     

R&D and productivity: A broad cross-section cross-country look

The empirical literature on R&D and productivity has shown that there is indeed a positive influence of R&D investment on output growth. However, the exact relation depends to a large extent on the approach chosen (i.e., functional form). Because most studies concentrate on a limited number of countries or sectors and use their own specific methodology, comparison is difficult. This paper aims at providing a broad overview of cross-country and cross-sector differences in the relation between (direct) R&D and output growth, using a common methodology, so that comparison is easier. The functional form used is a translog production function, which is applied to data for 15 manufacturing sectors and 9 principal OECD countries.     

Self-organization of R&D search in complex technology spaces

We extend an earlier model of innovation dynamics based on percolation by adding endogenous R&D search by economically motivated firms. The {0, 1} seeding of the technology lattice is now replaced by draws from a lognormal distribution for technology ‘difficulty’. Firms are rewarded for successful innovations by increases in their R&D budget. We compare two regimes. In the first, firms are fixed in a region of technology space. In the second, they can change their location by myopically comparing progress in their local neighborhoods and probabilistically moving to the region with the highest recent progress. We call this the moving or self-organizational regime (SO). The SO regime always outperforms the fixed one, but its performance is a complex function of the ‘rationality’ of firm search (in terms of search radius and speed of movement). The clustering of firms in the SO regime grows rapidly and then fluctuates in a complex way around a high value that increases with the search radius. We also investigate the size distributions of the innovations generated in each regime. In the fixed one, the distribution is approximately lognormal and certainly not fat tailed. In the SO regime, the distributions are radically different. They are much more highly right skewed and show scaling over at least 2 decades with a slope around one, for a wide range of parameter settings. Thus we argue that firm self-organization leads to self-organized criticality. The online version of the original article can be found under doi:.     

The size distribution of innovations revisited: An application of extreme value statistics to citation and value measures of patent significance

This paper focuses on the analysis of size distributions of innovations, which are known to be highly skewed. We use patent citations as one indicator of innovation significance, constructing two large datasets from the European and US Patent Offices at a high level of aggregation, and the Trajtenberg [1990, A penny for your quotes: patent citations and the value of innovations. Rand Journal of Economics 21(1), 172–187] dataset on CT scanners at a very low one. We also study self-assessed reports of patented innovation values using two very recent patent valuation datasets from the Netherlands and the UK, as well as a small dataset of patent licence revenues of Harvard University. Statistical methods are applied to analyse the properties of the empirical size distributions, where we put special emphasis on testing for the existence of ‘heavy tails’, i.e., whether or not the probability of very large innovations declines more slowly than exponentially. While overall the distributions appear to resemble a lognormal, we argue that the tails are indeed fat. We invoke some recent results from extreme value statistics and apply the Hill [1975. A simple general approach to inference about the tails of a distribution. The Annals of Statistics 3, 1163–1174] estimator with data-driven cut-offs to determine the tail index for the right tails of all datasets except the NL and UK patent valuations. On these latter datasets we use a maximum likelihood estimator for grouped data to estimate the tail index for varying definitions of the right tail. We find significantly and consistently lower tail estimates for the returns data than the citation data (around 0.6–1 vs. 3–5). The EPO and US patent citation tail indices are roughly constant over time, but the latter estimates are significantly lower than the former. The heaviness of the tails, particularly as measured by value indicators, we argue, has significant implications for technology policy and growth theory, since the second and possibly even the first moments of these distributions may not exist.