Environmental Econometrics Using Stata

Christopher F. Baum

ISBN 10: 1597183555 / ISBN 13: 9781597183550

Edité par Stata Press, 2021

A propos de cet article

2021. 1st Edition. Paperback. . . . . .

N° de réf. du vendeur V9781597183550

Détails bibliographiques

• Titre: Environmental Econometrics Using Stata
• Éditeur: Stata Press
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 1597183555
• ISBN à 13 chiffres: 9781597183550
• Reliure: Couverture souple
• Édition: Edition originale
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Christopher F. Baum is a professor of economics and social work at Boston College. Baum has taught econometrics for many years, using Stata extensively in academic and nonacademic settings. He has over 40 years of experience with computer programming and has authored or coauthored several widely used Stata commands. He is the author of An Introduction to Modern Econometrics Using Stata and An Introduction to Stata Programming, Second Edition. He is an associate editor of the Stata Journal and maintains the Statistical Software Components Archive of community-contributed Stata materials.

Stan Hurn is a professor of econometrics at Queensland University of Technology. He held previous positions at the University of Glasgow and at Brasenose College, Oxford. He is a fellow of the Society for Financial Econometrics. His main research interests are in the field of time-series econometrics, and he has been published widely in leading international journals. He is also the coauthor of Econometric Modelling with Time Series: Specification, Estimation and Testing and Financial Econometric Modeling.