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This book shows the use of new econometric tools to analyse economic problems and shows possible ways to promote the theory of such new tools. Itis a collection of papers that were presented during two international workshops at the University of Munich. These papers report on new developments in applied econometrics. The book's first part collectscontributions that address new methodological developments, in particular inmicroeconometrics and in multi-equation systems: ordinal variables in microeconometric models, goodness of fit in qualitative choice models, causation in VAR models, and recursive models are the topics dealt with. Part two discusses economic applications of new econometric methods. The topics here are: search models for unemployment, pricing behavior of manufacturing firms, optimal adjustment behavior of firms, and real interest rates

Essentials of Applied Econometrics prepares students for a world in which more data surround us every day and in which econometric tools are put to diverse uses. Written for students in economics and for professionals interested in continuing an education in econometrics, this succinct text not only teaches best practices and state-of-the-art techniques, but uses vivid examples and data obtained from a variety of real world sources. The book's emphasis on application uniquely prepares the reader for today's econometric work, which can include analyzing causal relationships or correlations in big data to obtain useful insights

Fundamentals of Applied Econometrics is designed for an applied, undergraduate econometrics course providing students with an understanding of the most fundamental econometric ideas and tools. The texts serves both the student whose interest is in understanding how one can use sample data to illuminate economic theory and the student who wants and needs a solid intellectual foundation on which to build practical experiential expertise. Starting with a unique Statistics review to start the book, students will learn by doing. Ashley provides students with integrated, hands-on exercises, and the text is supplemented with Active Learning Exercises.

This book aims to bring together studies using different data types (panel data, cross-sectional data and time series data) and different methods (for example, panel regression, nonlinear time series, chaos approach, deep learning, machine learning techniques among others) and to create a source for those interested in these topics and methods by addressing some selected applied econometrics topics which have been developed in recent years. It creates a common meeting ground for scientists who give econometrics education in Turkey to study, and contribute to the delivery of the authors' knowledge to the people who take interest. This book can also be useful for "Applied Economics and Econometrics" courses in postgraduate education as a material source.