A challenge facing cultural-frame institutionalism is to explain how existing institutional logics and role identities are replaced by new logics and role identities. This article depicts identity movements that strive to expand individual autonomy as motors of institutional change. It proposes that the sociopolitical legitimacy of activists, extent of theorization of new roles, prior defections by peers to the new logic, and gains to prior defectors act as identity-discrepant cues that induce actors to abandon traditional logics and role iden-tities for new logics and role identities. A study of how the nouvelle cuisine movement in France led elite chefs to abandon classical cuisine during the period starting from 1970 and ending in 1997 provides wide-ranging support for these arguments. Implications for research on institutional change, social movements, and social iden-tity are outlined. Institutions are composed of logics and governance structures and are produced or enacted by individuals and corporate actors (McAdam and Scott 2002). Institutional logics are the belief systems that furnish guide-1 We dedicate this article to Roland Calori of E. M. Lyon who provided support and encouragement but unfortunately passed away before seeing the article in print. We are grateful to participants at seminars at the Kellogg School of Management and Sloan School of Management for helpful advice. We also owe a debt of gratitude to

At the heart of many econometric models is a linear function and a normal error. Examples include the classical small-sample linear regression model and the probit, ordered probit, multinomial probit, Tobit, interval regression, and truncated-distribution regression models. Because the normal distribution has a natural multidimensional generalization, such models can be combined into multi-equation systems in which the errors share a multivariate normal distribution. The literature has historically focused on multi-stage procedures for estimating mixed models, which are more efficient computationally, if less so statistically, than maximum likelihood (ML). But faster computers and simulated likelihood methods such as the Geweke, Hajivassiliou, and Keane (GHK) algorithm for estimating higher-dimensional cumulative normal distributions have made direct ML estimation practical. ML also facilitates a generalization to switching, selection, and other models in which the number and types of equations vary by observation. The Stata module cmp fits Seemingly Unrelated Regressions (SUR) models of this broad family. Its estimator is also consistent for recursive systems in which all endogenous variables appear on the right-hand-sides as observed. If all the equations are structural, then estimation is full-information maximum likelihood (FIML). If only the final stage or stages are, then it is limited-information maximum likelihood (LIML). cmp can mimic a dozen built-in Stata commands and several user-written ones. It is also appropriate for a panoply of models previously hard to estimate. Heteroskedasticity, however, can render it inconsistent. This paper explains the theory and implementation of cmp and of a related Mata function, ghk2(), that implements the GHK algorithm.

Transaction cost economics, neoclassical economics, and the firm capabilities literatures propose theories of the firm that typically depict firm boundaries determined by a dichotomous choice: the make or buy decision. However, none of these theories presents a satisfying explanation as to why firms would concurrently source, i.e., simultaneously make and buy the same good. This study combines these organizational economics theories and compares when firms make, buy, and concurrently source through surveying small manufacturing firms. Support was shown for aspects of all three theories, with evidence indicating that concurrent sourcing is a distinctly different choice, rather existing along a make/buy continuum. Copyright © 2007 John Wiley & Sons, Ltd.

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This paper investigates competitive tension, or the strain between a focal firm and a given rival that is likely to result in the firm taking action against the rival. Drawing on the awareness-motivation-capability perspective, we show how perceived compet-itive tension, as constructed from managers ’ and industry stakeholders ’ competitor assessments, is influenced by the independent and interactive effects of three factors: relative scale, rival’s attack volume, and rival’s capability to contest. Our results provide a new avenue for studying competitors and the relationship between compet-itor analysis and interfirm rivalry. In science, there is a steady state in which op-posing forces hold each other in check until the build-up of tension turns the static relationship into dynamic interplay—the point when the steel cable snaps, the steam chamber’s pressure valve opens, or one psychological force overwhelms the other. In business practice, a similar phenomenon exists: when tension that one opponent imposes on another triggers rivalrous actions. Competitor analysis is central to strategy and or-

This study informs public policies regarding the use of subsidized loans as financial aid for community college students. Using logistic regression, it analyzes the National Center for Education Statistics ’ Beginning Postsecondary Students (BPS 90/94) data to predict persistence to the second year of college and associate’s degree attainment over five years. During the period under study, loans did not contribute to higher persistence and attainment rates. Loans are observed to have a negative effect on persistence and no effect on degree attainment. Estimates of the interaction effects of borrowing and income status are insignificant but demonstrate the need for further testing. The findings are attributed to a combination of the high uncertainty of degree completion among community college students and the negative affective component of indebtedness. KEY WORDS: community college; financial aid; loan; persistence. In 2003, while Congress debated reauthorization of the Higher

A range of seemingly rival theories attempt to explain why some individuals take extraordinary risks by choosing to participate in armed conflict. To date, however, competing accounts have typically not been grounded in systematic, empirical studies of the determinants of participation. In this article, we begin to fill this gap through an examination of the determinants of participation in insurgent and counterinsurgent factions in Sierra Leone’s civil war. We find some support for all of the competing theories, suggesting that the rivalry between them is artificial and that theoretical work has insufficiently explored the interaction of various recruitment strategies. At the same time, the empirical results challenge standard interpretations of grievance-based accounts of participation, as poverty, a lack of access to education, and political alienation predict participation in both rebellion and counterrebellion. Factors that are traditionally seen as indicators of grievance or frustration may instead proxy for a more general susceptibility to engage in violent action or a greater vulnerability to political manipulation by elites. Why do some individuals take enormous risksto participate as fighters in civil war? Whatdifferentiates those who are mobilized from those who remain on the sidelines? What distinguishes those who rebel from those who fight to defend the status quo? In spite of a large literature on the topic, scholars continue to debate the conditions under which men and

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Party switching by legislators has been common in many countries, including the

All journals that use peer review have to deal with the following question: Does the peer review system fulfill its declared objective to select the “best ” sci-entific work? We investigated the journal peer-review process at Angewandte Chemie International Edition (AC-IE), one of the prime chemistry journals worldwide, and conducted a citation analysis for Communications that were accepted by the journal (n=878) or rejected but published elsewhere (n=959). The results of neg-ative binomial-regression models show that holding all other model variables constant, being accepted by AC-IE increases the expected number of citations by up to 50%. A comparison of average citation counts (with 95 % confidence intervals) of accepted and rejected (but published elsewhere) Communications with international