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ABSTRACTData access and research transparency (DA-RT) is a growing concern for the discipline. Technological advances have greatly reduced the cost of sharing data, enabling full replication archives consisting of data and code to be shared on individual websites, as well as journal archives and institutional data repositories. But how do we ensure that scholars take advantage of these resources to share their replication archives? Moreover, are the costs of research transparency borne by individuals or by journals? This article assesses the impact of journal replication policies on data availability and finds that articles published in journals with mandatory provision policies are 24 times more likely to have replication materials available than articles those with no requirements.

August 19, 2020, marks the centennial of ratification of the Nineteenth Amendment, which guaranteed that the right to vote could not be denied on the basis of sex. The Nineteenth Amendment did not radically transform women's political activism; rather, it was aproductof women's political activism. Women won the franchise in a 72-year battle fought at both the state and national levels. By the time the Nineteenth Amendment was ratified, women had been voting for almost 50 years in localities where they already had secured the right to vote.1The 100th anniversary is an opportune time to reflect on women's continued involvement in politics.

ABSTRACTPolitical science, like many disciplines, has a "leaky-pipeline" problem. Women are more likely to leave the profession than men. Those who stay are promoted at lower rates. Recent work has pointed toward a likely culprit: women are less likely to submit work to journals. Why? One answer is that women do not believe their work will be published. This article asks whether women systematically study different topics than men and whether these topics may be less likely to appear in top political science journals. To answer this question, we analyzed the content of dissertation abstracts. We found evidence that some topics are indeed gendered. We also found differences in the representation of "women's" and "men's" topics in the pages of the top journals. This suggests that research agendas may indeed be gendered and that variation in research topic might be to blame for the submission gap.

ABSTRACTWith the discipline's push toward data access and research transparency (DA-RT), journal replication archives are becoming increasingly common. As researchers work to ensure that replication materials are provided, they also should pay attention to the content—rather than simply the provision—of journal archives. Based on our experience in analyzing and handling journal replication materials, we present a series of recommendations that can make them easier to understand and use. The provision of clear, functional, and well-documented replication materials is key for achieving the goals of transparent and replicable research. Furthermore, good replication materials enhance the development of extensions and related research by making state-of-the-art methodologies and analyses more accessible.

ABSTRACTStart-up packages vary enormously, particularly across institutions, and not all faculty know what items they may negotiate for to support their probationary period. To demystify this part of the hidden curriculum, we discuss the components of start-up packages and other benefits that may be provided to new faculty at the time of hire. We focus on five broad topics: compensation and personal support, general support, research support, teaching support, and service and professional development. Drawing on the results of a survey of tenure-track assistant political science professors in the United States, we also provide an overview of the prevalence of a variety of items at different types of institutions and discuss other considerations in the negotiation process to close the knowledge gap for candidates during negotiations.

AbstractGrant and Lebo (2016) and Keele et al. (2016) clarify the conditions under which the popular general error correction model (GECM) can be used and interpreted easily: In a bivariate GECM the data must be integrated in order to rely on the error correction coefficient, $\alpha _1^\ast$, to test cointegration and measure the rate of error correction between a single exogenous x and a dependent variable, y. Here we demonstrate that even if the data are all integrated, the test on $\alpha _1^\ast$ is misunderstood when there is more than a single independent variable. The null hypothesis is that there is no cointegration between y and any x but the correct alternative hypothesis is that y is cointegrated with at least one—but not necessarily more than one—of the x's. A significant $\alpha _1^\ast$ can occur when some I(1) regressors are not cointegrated and the equation is not balanced. Thus, the correct limiting distributions of the right-hand-side long-run coefficients may be unknown. We use simulations to demonstrate the problem and then discuss implications for applied examples.