Panel Data Models for Strategy and Entrepreneurship

De Gruyter Studies in The Practice of Econometricsedited by Professor Marno Verbeek, Rotterdam School of Management, Erasmus University Call for proposals - De Gruyter Studies in the Practice of Econometrics De Gruyter Studies in the Practice of Econometrics is a new series of books aimed at researchers showing how different econometric techniques can be used in their field focusing on practical relevance. The purpose of this series is to present and collect econometric insights on a particular technique (e.g. panel data models, matching approaches) or a particular problem (e.g. forecasting, causal identification), with a focus on one or more fields (e.g. corporate finance, accounting, economic growth). Each book is to serve as a guidebook to academic scholars and policy-oriented researchers, to show how certain techniques can be used, which approaches are available and under which conditions these are likely to "work well". Contributions are not just pieces of applied econometrics work ("applications"), but include an element that is a guide for empirical researchers. This may be a critical discussion of key assumptions and how they are relevant in a certain context, a discussion of the sensitivity of certain techniques to their assumptions with attention given to their small sample properties, e.g. by means of a Monte Carlo study, or a survey of a segment of the literature with a methodological focus. Contributions should also stress intuition and practical relevance. We are looking for interesting and innovative proposals from people who are interested in editing or writing titles for this series; editors of volumes will be well-known experts in their fields of research. Series Editor: If you are interested in submitting a proposal or have any questions, please contact the Series Editor: Professor Marno Verbeek, Rotterdam School of Management email: mverbeek@rsm.nl Rotterdam School of Management Erasmus University PO Box 1738 3000 DR Rotterdam The Netherlands