Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

Corruption and Growth

The recent surge of interest in “ecosystems” in strategy research and practice has mainly focused on what ecosystems are and how they operate. We complement this literature by considering when and why ecosystems emerge, and what makes them distinct from other governance forms. We argue that modularity enables ecosystem emergence, as it allows a set of distinct yet interdependent organizations to coordinate without full hierarchical fiat. We show how ecosystems address multilateral dependences based on various types of complementarities - supermodular or unique, unidirectional or bidirectional, which determine the ecosystem’s value-add. We argue that at the core of ecosystems lie non-generic complementarities, and the creation of sets of roles that face similar rules. We conclude with implications for mainstream strategy and suggestions for future research.

Towards a Theory of Ecosystems

The Role of Strategic Alliances in High-Technology New Product Development

When does knowledge acquisition in R&D alliances increase new product development? The moderating roles of technological relatedness and product-market competition

We discuss the ‘gloomy’ side of firms’ embeddedness in networks of inter-firm partnerships. We propose a nested understanding of the effects of three levels of overembeddedness – environmental, inter-organizational and dyadic overembeddedness – on subsequent inter-firm partnership formation and argue for a joint examination of these three levels and their interactions over time. As a whole, increases in firms’ embeddedness will generate decreasing returns to the firms involved, prompting (i) the search for and attachment to novel partners and (ii) the dissolution of extant partnerships. On the flipside, overembeddedness thus sparks network evolution – by cueing firms to look beyond their embedded partnerships.

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The gloomy side of embeddedness: The effects of overembeddedness on inter-firm partnership formation

This article extends the understanding of what impels buyers to contact particular sellers in online business-to-business (B2B) marketplaces, which are typically characterized by sparse social structures and concomitant limitations in observing social cues. Integrating an institutional perspective with signaling theory, our core argument is that offline seller characteristics that are visible online—in particular, geographic location and legal status—convey credible signals of seller behavior because they provide buyers with information on sellers’ local institutional quality and the institutionally-induced obligations and controls acting on sellers. Using unique data from a large Italian online B2B marketplace between the fourth quarter of 1999 and July 2001, we find that both sellers’ local institutional quality and their legal statuses affect a buyer’s likelihood of contacting a seller. Moreover, consistent with the idea that a buyer’s own local institutional quality generates a relevant reference point against which sellers are evaluated, we find that a buyer is progressively more likely to contact sellers the higher their local institutional quality relative to the buyer. Jointly, our findings imply that in online B2B marketplaces, signals conveyed by sellers’ geographic locations and legal statuses may constitute substantive sources of competitive heterogeneity and market segmentation.

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The Online Shadow of Offline Signals: Which Sellers Get Contacted in Online B2b Marketplaces?*

Research summary: Extant research suggests that firms rationally evaluate external and/or internal contingencies when deciding how to reconfigure their alliance portfolios. We advance a behavioral perspective which assumes that managers are boundedly rational and thus rely on behavioral heuristics when making alliance portfolio reconfiguration decisions. In panel data on U.S.-listed biotechnology firms, we find that below-aspiration performance motivates a firm to form alliances with novel partners within the resource scope of its existing alliance portfolio. This effect is weakened by equity ties with existing partners and strengthened by firm-specific uncertainty. Conversely, above-aspiration performance leads to new alliances with existing partners but outside the resource scope of the firm’s existing alliance portfolio. Finally, as organizational slack increases, a firm forms alliances with novel partners focusing on new-to-the-portfolio resources.

Managerial summary: We study why and how firms change the configuration of their alliance portfolios over time. We find that actual performance relative to performance objectives, and firms’ excess resources, are important drivers of such change. The more firms fail to meet their performance objectives, the more likely they are to form alliances with novel partners focusing on areas in which they already have one or more alliances with other partners. The more firms exceed their performance objectives, the greater their inclination to form alliances with their existing partners in areas in which they do not yet have alliances. The greater the stock of excess resources, the greater firms’ propensities to form alliances with novel partners focusing on areas in which they do not yet have alliances.

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A behavioral theory of alliance portfolio reconfiguration: Evidence from pharmaceutical biotechnology

This article links research on parallel search and joint R&D to contribute a portfolio perspective to the study of knowledge flows within interfirm R&D partnerships. In a longitudinal analysis of firms engaged in R&D partnerships relating to information technology between 1975 and 1999, we show that the size of a firm's R&D partnership portfolio and its share of novel partners both have an inverted U-shaped effect on the inflow of technological knowledge from the firm's R&D partners. We also show how these direct effects vary as a function of the level of technological uncertainty within the portfolio.

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Hans T. W. Frankort

Papers

When does knowledge acquisition in R&D alliances increase new product development? The moderating roles of technological relatedness and product-market competition

The gloomy side of embeddedness: The effects of overembeddedness on inter-firm partnership formation

The Online Shadow of Offline Signals: Which Sellers Get Contacted in Online B2b Marketplaces?*

A behavioral theory of alliance portfolio reconfiguration: Evidence from pharmaceutical biotechnology

R&D partnership portfolios and the inflow of technological knowledge