Magnus Blomstrom

Bio: Magnus Blomstrom is an academic researcher from Stockholm School of Economics. The author has contributed to research in topics: Foreign direct investment & Multinational corporation. The author has an hindex of 51, co-authored 115 publications receiving 17196 citations. Previous affiliations of Magnus Blomstrom include Economic Policy Institute & University of Gothenburg.

Multinational Corporations and Spillovers

Abstract: The operations of multinational corporations continue to stir strong emotions, both in the home countries and abroad. In the major home countries, the debate on foreign direct investment has ranged from worries that outward FDI may substitute for domestic investment and erode technology leadership, to the argument that firms must invest abroad in order to stay competitive in an increasingly international environment. The attitudes towards MNCs have also been mixed in the host countries, although the proponents of FDI seem to have gained the upper hand since the late 1980s. Most host countries have liberalized their FDI regulations since the early 1980s — many are now actively trying to encourage foreign firms to invest — and the benefits of inward FDI on capital formation, employment, exports and technology are generally considered to dominate the costs of foreign ownership of local factors of production.

Technology, Transfer and Spillovers: Does Local Participation With Multinationals Matter?

Abstract: This paper examines the effects on technology transfer and spillovers deriving from ownership sharing of foreign multinational affiliates More specifically, we try to answer two questions, using unpublished Indonesian micro data Firstly, do establishments with minority and majority ownership differ in terms of productivity levels? Secondly, does the degree of spillover differ with the degree of ownership in the FDI? Our results show that foreign establishments have comparable high levels of labor productivity and that domestic establishments benefit from spillovers However, the degree of foreign ownership does neither affect the level of labor productivity in foreign establishments, nor the degree of spillovers

Foreign Investment and Technology Transfer: a Simple Model

Abstract: This paper develops a model in which international technology transfer through foreign direct investment emerges as an endogenized equilibrium phenomenon, resulting from the strategic interaction between subsidiaries of multinational corporations and host country firms. The model explicitly recognizes two types of costs -- the costs to the multinational of transferring technology to its subsidiaries and the learning costs of domestic firms -- and treats technology transfer in a game theoretic context. The model points to the importance of the learning efforts of host-country firms in increasing the rate at which MNCs transfer technology. The paper also explores some of the reasons why learning investment in host country firms may be suboptimal.

How to do Xtabond2: An Introduction to Difference and System GMM in Stata

Abstract: This working paper by CGD research fellow David Roodman provides an introduction to a particular class of econometric techniques, dynamic panel estimators. The techniques and their implementation in Stata, a statistical software package widely used in the research community, are an important input to the careful applied research CGD advocates. The techniques discussed are specifically designed to extract causal lessons from data on a large number of individuals (whether countries, firms or people) each of which is observed only a few times, such as annually over five or ten years. These techniques were developed in the 1990s by authors such as Manuel Arellano, Richard Blundell and Olympia Bover, and have been widely applied to estimate everything from the impact of foreign aid to the importance of financial sector development to the effects of AIDS deaths on households. The present paper contributes to this literature pedagogically, by providing an original synthesis and exposition of the literature on these dynamic panel estimators, and practically, by presenting the first implementation of some of these techniques in Stata. Stata is designed to encourage users to develop new commands for it, which other users can then use or even modify. In this paper Roodman introduces abar and xtabond2, which is now one of the most frequently downloaded user-written Stata commands in the world. Stata's partially open-source architecture has encouraged the growth of a vibrant world-wide community of researchers, which benefits not only from improvements made to Stata by the parent corporation, but also from the voluntary contributions of other users. Stata is arguably one of the best examples of a combination of private for-profit incentives and voluntary open-source incentives in the joint creation of a global public good.

How to do xtabond2: An introduction to difference and system GMM in Stata

Abstract: The Arellano-Bond (1991) and Arellano-Bover (1995)/Blundell-Bond (1998) linear generalized method of moments (GMM) estimators are increasingly popular. Both are general estimators designed for situations with “small T, large N” panels, meaning few time periods and many individuals; with independent variables that are not strictly exogenous, meaning correlated with past and possibly current realizations of the error; with fixed effects; and with heteroskedasticity and autocorrelation within individuals. This pedagogic paper first introduces linear GMM. Then it shows how limited time span and the potential for fixed effects and endogenous regressors drive the design of the estimators of interest, offering Stata-based examples along the way. Next it shows how to apply these estimators with xtabond2. It also explains how to perform the Arellano-Bond test for autocorrelation in a panel after other Stata commands, using abar. The Center for Global Development is an independent think tank that works to reduce global poverty and inequality through rigorous research and active engagement with the policy community. Use and dissemination of this Working Paper is encouraged, however reproduced copies may not be used for commercial purposes. Further usage is permitted under the terms of the Creative Commons License. The views expressed in this paper are those of the author and should not be attributed to the directors or funders of the Center for Global Development.

International R&D Spillovers

Abstract: Investment in research and development (R&D) affects a country's total factor productivity. Recently new theories of economic growth have emphasized this link and have also identified a number of channels through which a country's R&D affects total factor productivity of its trade partners. Following these theoretical developments we estimate the effects of a country's R&D capital stock and the R&D capital stocks of its trade partners on the country's total factor productivity. We find large effects of both domestic and foreign R&D capital stocks on total factor productivity. The foreign R&D capital stocks have particularly large effects on the smaller countries in our sample (that consists of 22 countries). Moreover, we find that about one-quarter of the worldwide benefits of investment in R&D in the seven largest economies are appropriated by their trade partners.