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This book is one of the first comprehensive works to fill the knowledge gap resulting from the limited number of empirical studies on interfirm networks. The in-depth empirical research presented here is based on a massive transaction relationship database of approximately 400,000 Japanese firms. This volume, unlike others, focuses on the role of interfirm networks in three different fields: (1) macroeconomic activities, (2) economic geography and firm dynamics, and (3) firm–bank relationships. The database for this work is constructed in collaboration with Japan's largest credit research company, Teikoku Data Bank, and covers a substantial portion of Japanese firms with information on firms' transaction partners, shareholders, financial institutions, and other attributes, including their locations and performance. Networks prevail in many aspects of economic activities and play a major role in explaining a wide variety of economic phenomena from business cycles to knowledge spillovers, which has motivated economists to produce a number of excellent works. In the policy arena, there has been a growing concern on the vulnerabilities of networks based on the casual observation that idiosyncratic shocks on firms can be amplified through inter-firm connections and leads to a systemic crisis. Typical examples are the manufacturing supply-chain networks in the automobile and electronics industries which propagated regionally concentrated shocks (the Great East Japan Earthquake and floods in Thailand in 2011) into global ones. An abundance of theoretical literature on the formation and functions of networks is available already. This book breaks new ground, however, and provides an excellent opportunity for the reader to gain a more integrated understanding of the role of networks in the economy. The Economics of Interfirm Networks will be of special interest to economists and practitioners seeking empirical and quantitative knowledge on interfirm and firm–bank networks.

Economics/Management Science. --- Macroeconomics/Monetary Economics. --- Finance/Investment/Banking. --- Industrial Organization. --- Socio- and Econophysics, Population and Evolutionary Models. --- Economics. --- Industrial organization (Economic theory). --- Macroeconomics. --- Economie politique --- Economie industrielle --- Macroéconomie --- Industrial organization (Economi. --- Business & Economics --- Economic Theory --- Business networks. --- Strategic alliances (Business) --- Cooperation. --- Collaborative economy --- Cooperative distribution --- Cooperative movement --- Distribution, Cooperative --- Peer-to-peer economy --- Sharing economy --- Alliances in business --- Business alliances, Strategic --- Corporate alliances --- Strategic business alliances --- Strategic corporate alliances --- Strategic partnerships (Business) --- Business networking --- Networking, Business --- Networks, Business --- Finance. --- Sociophysics. --- Econophysics. --- Industrial organization. --- Finance, general. --- Partnership --- Business networks --- Economics --- Profit-sharing --- Social networks --- Industrial clusters --- Data-driven Science, Modeling and Theory Building. --- Funding --- Funds --- Currency question --- Industries --- Organization --- Industrial concentration --- Industrial management --- Industrial sociology --- Statistical physics --- Mathematical sociology --- Statistical methods

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Official price indexes, such as the CPI, are imperfect indicators of inflation calculated using ad hoc price formulae different from the theoretically well-founded inflation indexes favored by economists. This paper provides the first estimate of how accurately the CPI informs us about “true” inflation. We use the largest price and quantity dataset ever employed in economics to build a Törnqvist inflation index for Japan between 1989 and 2010. Our comparison of this true inflation index with the CPI indicates that the CPI bias is not constant but depends on the level of inflation. We show the informativeness of the CPI rises with inflation. When measured inflation is low (less than 2.4% per year) the CPI is a poor predictor of true inflation even over 12-month periods. Outside this range, the CPI is a much better measure of inflation. We find that the U.S. PCE Deflator methodology is superior to the Japanese CPI methodology but still exhibits substantial measurement error and biases rendering it a problematic predictor of inflation in low inflation regimes as well.

Zonder onderwerpscode: economie

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In recent years, as part of the increasing “informationization” of industry and the economy, enterprises have been accumulating vast amounts of detailed data such as high-frequency transaction data in nancial markets and point-of-sale information onindividualitems in theretail sector. Similarly,vast amountsof data arenow ava- able on business networks based on inter rm transactions and shareholdings. In the past, these types of information were studied only by economists and management scholars. More recently, however, researchers from other elds, such as physics, mathematics, and information sciences, have become interested in this kind of data and, based on novel empirical approaches to searching for regularities and “laws” akin to those in the natural sciences, have produced intriguing results. This book is the proceedings of the international conference THICCAPFA7 that was titled “New Approaches to the Analysis of Large-Scale Business and E- nomic Data,” held in Tokyo, March 1–5, 2009. The letters THIC denote the Tokyo Tech (Tokyo Institute of Technology)–Hitotsubashi Interdisciplinary Conference. The conference series, titled APFA (Applications of Physics in Financial Analysis), focuses on the analysis of large-scale economic data. It has traditionally brought physicists and economists together to exchange viewpoints and experience (APFA1 in Dublin 1999, APFA2 in Liege ` 2000, APFA3 in London 2001, APFA4 in Warsaw 2003, APFA5 in Torino 2006, and APFA6 in Lisbon 2007). The aim of the conf- ence is to establish fundamental analytical techniques and data collection methods, taking into account the results from a variety of academic disciplines.

Statistical science --- Quantitative methods (economics) --- Operational research. Game theory --- Discrete mathematics --- Mathematical statistics --- Probability theory --- Mathematics --- Classical mechanics. Field theory --- Statistical physics --- Business economics --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- waarschijnlijkheidstheorie --- grafentheorie --- datamining --- stochastische analyse --- statistiek --- econometrie --- fysica --- kansrekening --- data acquisition --- dynamica

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Zonder onderwerpscode: economie

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Zonder onderwerpscode: economie