Search results for ""Author Stan Hurn""

This authoritative collection of papers covers a broad spectrum of topics in theoretical and applied economics and econometrics. The tone of the book is set by Paul Klemperer's contribution on using and abusing economic theory, in which academics are encouraged to widen the scope of their analyses beyond the confines of elegant models which sometimes lack 'real-world' detail. As a result, many of the chapters in this volume share a high degree of practical relevance. Extensive discussion of a variety of contemporary issues in economics and econometrics follows, including: theoretical contributions in economics: the economics of auctions; industry sunk costs and entry dynamics econometric theory: automated-model selection; conditions for weak-exogeneity in vector correction models; Bayesian inference for trended economic time series; Gibbs sampling for truncated multivariate normal distributions methodology and applications: lag-length selection in non-linear dynamic models; the relationship between intercepts, threshold and autoregressive coefficients in the two-regime self-exciting autoregressive model; the problems caused by incomplete data for econometric modelling of the term structure of interest rates and also in models using unbalanced panel data; the informational content of the term structure of interest rates with respect to future inflation. The wide variety of topics explored, along with the focus on practical application, will make this book particularly valuable reading for students and applied researchers as well as appealing to a wider academic audience.

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Aspects of environmental change are some of the greatest challenges faced by policymakers today. The key issues addressed by environmental science are often empirical, and in many instances very detailed, sizable datasets are available. Researchers in this field should have a solid understanding of the econometric tools best suited for analysis of these data. While complex and expensive physical models of the environment exist, it is becoming increasingly clear that reduced-form econometric models have an important role to play in modeling environmental phenomena. In short, successful environmental modeling does not necessarily require a structural model, but the econometric methods underlying a reduced-form approach must be competently executed. Environmental Econometrics Using Stata provides an important starting point for this journey by presenting a broad range of applied econometric techniques for environmental econometrics and illustrating how they can be applied in Stata. The emphasis is not only on how to formulate and fit models in Stata but also on the need to use a wide range of diagnostic tests in order to validate the results of estimation and subsequent policy conclusions. This focus on careful, reproducible research should be appreciated by academic and non-academic researchers who are seeking to produce credible, defensible conclusions about key issues in environmental science.

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