REPORTING GUIDELINES FOR META-ANALYSIS IN ECONOMICS

Meta-analysis has become the conventional approach to synthesizing the results of empirical economics research. To further improve the transparency and replicability of the reported results and to raise the quality of meta-analyses, the Meta-Analysis of Economics Research Network has updated the reporting guidelines that were published by this Journal in 2013. Future meta-analyses in economics will be expected to follow these updated guidelines or give valid reasons why a meta-analysis should deviate from them.     

Tradeable permits for pollution control when emission location matters: What have we learned?

Our knowledge about tradeable permit approaches to pollution control has grown rapidly in the two decades in which they have received serious analytical attention. Not only have the theoretical models become more focused and the empirical work more detailed, but we have now had over a decade of experience with them in the U.S. This article draws upon economic theory, empirical studies, and actual experience with implementation to summarize what we have learned about applying tradeable permits to air pollution control in the special circumstance where the spatial aspects of the problem are a prime consideration.     

Networked innovation and coalition formation: the effect of group-based social preferences

In this paper, we study the production and dissemination of public knowledge goods, such as technological knowledge, generated by a network of voluntarily cooperating innovators. We develop a private-collective model of public knowledge production in networked innovation systems, where group-based social preferences have an impact on the coalition formation of developers. Our model builds on the large empirical literature on voluntary production of pooled public knowledge goods, including source code in communities of software developers or data provided to open access data repositories. Our analysis shows under which conditions social preferences, such as ‘group belonging’ or ‘peer approval’, influence the stable coalition size, as such rationalising several stylized facts emerging from large-scale surveys of open-source software developers, previously unaccounted for. Furthermore, heterogeneity of social preferences is added to the model to study the formation of stable but mixed coalitions.     

The Multilevel Approach to Repeated Measures for Complete and Incomplete Data

Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternative approach is provided by multilevel analysis, also called the hierarchical linear model (HLM), which makes use of random coefficient models. This paper is a tutorial which indicates that the HLM can be specified in many different ways, corresponding to different sets of assumptions about the covariance matrix of the repeated measurements. The possible assumptions range from the very restrictive compound symmetry model to the unrestricted multivariate model. Thus, the HLM can be used to steer a useful middle road between the two traditional methods for analyzing repeated measurements. Another important advantage of the multilevel approach to analyzing repeated measures is the fact that it can be easily used also if the data are incomplete. Thus it provides a way to achieve a fully multivariate analysis of repeated measures with incomplete data. This revised version was published online in June 2006 with corrections to the Cover Date.     

Strategic partnering in Eastern Europe

There are alternatives to the much-touted “joint venture” in Eastern Europe. Some of these, such as licensing and cooperation agreements, have actually been available for some time. Others, like wholly owned subsidiaries, mergers, and acquisitions, are in the early stages of development. Clearly, the pace of reform indicates it is time to rethink the conventional wisdom on corporate development in Eastern Europe.     

Regional GDP in the UK, 1861–1911: new estimates

This article compares the Geary–Stark method for distributing known GDP totals across regions with a variation suggested by Crafts. Tests of the Geary–Stark method confirm that it generates accurate estimates of regional GDP. There are practical and conceptual problems with Crafts' extension, and it is not tested nor is it testable. New estimates of regional GDP for the period 1861 to 1911 contradict Crafts's suggestion of rising regional inequality. Purchasing power parity adjustments do not alter this trend. The new estimates confirm Ireland's post‐Famine catch‐up. The great bulk of Irish labour productivity growth can be accounted for by an upward shifting production function, though it can be argued that that portion of growth that represents catch‐up may be attributable to labour force decline.