Do stronger intellectual property rights increase international technology transfer? Empirical evidence from U.S. firm-level panel data

One of the alleged benefits of the recent global movement to strengthen intellectual property rights (IPRs) is that such reforms accelerate transfers of technology between countries. The paper examines how technology transfer among U.S. multinational firms changes in response to a series of IPR reforms undertaken by 12 countries over the 1982-99 period. The analysis of detailed firm-level data reveal that royalty payments for intangibles transferred to affiliates increase at the time of reforms, as do affiliate research and development (R&D) expenditures and total levels of foreign patent applications. Increases in royalty payments and R&D expenditures are more than 20 percent larger among affiliates of parent companies that use U.S. patents more extensively prior to reform and therefore are expected to value IPR reform most.Environmental Economics&Policies,ICT Policy and Strategies,Real&Intellectual Property Law,General Technology,Banks&Banking Reform,Environmental Economics&Policies,Real&Intellectual Property Law,ICT Policy and Strategies,General Technology,Education for the Knowledge Economy

Intellectual Property Rights, Imitation, and Foreign Direct Investment: Theory and Evidence

This paper theoretically and empirically analyzes the effect of strengthening intellectual property rights in developing countries on the level and composition of industrial development. We develop a North-South product cycle model in which Northern innovation, Southern imitation, and FDI are all endogenous. Our model predicts that IPR reform in the South leads to increased FDI in the North, as Northern firms shift production to Southern affiliates. This FDI accelerates Southern industrial development. The South's share of global manufacturing and the pace at which production of recently invented goods shifts to the South both increase. Additionally, the model also predicts that as production shifts to the South, Northern resources will be reallocated to R&D, driving an increase in the global rate of innovation. We test the model's predictions by analyzing responses of U.S.-based multinationals and domestic industrial production to IPR reforms in the 1980s and 1990s. First, we find that MNCs expand the scale of their activities in reforming countries after IPR reform. MNCs that make extensive use of intellectual property disproportionately increase their use of inputs. There is an overall expansion of industrial activity after IPR reform, and highly disaggregated trade data indicate an increase in the number of initial export episodes in response to reform. These results suggest that the expansion of multinational activity more than offsets any decline in the imitative activity of indigenous firms.

Automatic estimation of flux distributions of astrophysical source populations

In astrophysics a common goal is to infer the flux distribution of populations of scientifically interesting objects such as pulsars or supernovae. In practice, inference for the flux distribution is often conducted using the cumulative distribution of the number of sources detected at a given sensitivity. The resulting "$\log(N>S)$-$\log (S)$" relationship can be used to compare and evaluate theoretical models for source populations and their evolution. Under restrictive assumptions the relationship should be linear. In practice, however, when simple theoretical models fail, it is common for astrophysicists to use prespecified piecewise linear models. This paper proposes a methodology for estimating both the number and locations of "breakpoints" in astrophysical source populations that extends beyond existing work in this field. An important component of the proposed methodology is a new interwoven EM algorithm that computes parameter estimates. It is shown that in simple settings such estimates are asymptotically consistent despite the complex nature of the parameter space. Through simulation studies it is demonstrated that the proposed methodology is capable of accurately detecting structural breaks in a variety of parameter configurations. This paper concludes with an application of our methodology to the Chandra Deep Field North (CDFN) data set.Comment: Published in at http://dx.doi.org/10.1214/14-AOAS750 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org