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Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling
Volume 40B of Advances in Econometrics examines innovations in stochastic frontier analysis, nonparametric and semiparametric modeling and estimation, A/B experiments, big-data analysis, and quantile regression.
Bayesian Econometrics
Illustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. This work presents an historical overview that describes key contributions to development and makes predictions for future directions.
Essays in Honour of Fabio Canova
Both parts of Volume 44 of Advances in Econometrics pay tribute to Fabio Canova for his major contributions to economics over the last four decades.
Essays in Honor of Subal Kumbhakar
It is the editor’s distinct privilege to gather this collection of papers that honors Subhal Kumbhakar’s many accomplishments, drawing further attention to the various areas of scholarship that he has touched.
Maximum Simulated Likelihood Methods and Applications
This collection of methodological developments and applications of simulation-based methods were presented at a workshop at Louisiana State University in November, 2009. Topics include: extensions of the GHK simulator; maximum-simulated likelihood; composite marginal likelihood; and modelling and forecasting volatility in a bayesian approach.
30th Anniversary Edition
The 30th Volume of Advances in Econometrics is in honor of the two individuals whose hard work has helped ensure thirty successful years of the series, Thomas Fomby and R. Carter Hill.
DSGE Models in Macroeconomics
This volume of Advances in Econometrics contains articles that examine key topics in the modeling and estimation of dynamic stochastic general equilibrium (DSGE) models. Because DSGE models combine micro- and macroeconomic theory with formal econometric modeling and inference, over the past decade they have become an established framework for analy
The Post-Pandemic Business Playbook
COVID-19 forced a dramatic change to customer behavior that resulted in an economic crisis not witnessed by anyone alive. Businesses can no longer operate as before because their customers are no longer operating as before. This book provides customer-centric based guidance for how businesses should adapt to this new reality, deriving insights from academic research, case studies, interviews, and best practice examples from around the world. As validated by hundreds of top-level executives, its readers will gain a better understanding of why customer behavior has changed so they can use the book’s solutions to navigate through and succeed in the post COVID-19 future.
Essays in Honor of Jerry Hausman
Aims to annually publish original scholarly econometrics papers on designated topics with the intention of expanding the use of developed and emerging econometric techniques by disseminating ideas on the theory and practice of econometrics throughout the empirical economic, business and social science literature.
Missing Data Methods
Contains 16 chapters authored by specialists in the field, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; and, Consistent Estimation and Orthogonality.
