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Foundations and Trends in Econometrics

Now Publishers Inc.

AJG 1ABDC C
Abstract coveragesee Methodology
Recent paperssorted by most recent
PaperYearCitations
Foundations and Trends® in Econometrics
Unknown
20250 citations
Data Envelopment Analysis: From Foundations to Modern Advancements
Zhichao Wang & Valentin Zelenyuk
20242 citations
Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective
Tom Engsted & Jesper Wiborg Schneider
20240 citations
Nonparametric Measurement of Productivity Growth and Technical Change
Subhash C. Ray
20240 citations
A Simple Method for Predicting Covariance Matrices of Financial Returns
Kasper Johansson et al.
202311 citations
A Complete Framework for Model-Free Difference-in-Differences Estimation
Daniel J. Henderson & Stefan Sperlich
20232 citations
Quantile Methods for Stochastic Frontier Analysis
Alecos Papadopoulos & Christopher F. Parmeter
202215 citations
Bayesian Approaches to Shrinkage and Sparse Estimation
Dimitris Korobilis & Kenichi Shimizu
202210 citations
Factor Extraction in Dynamic Factor Models: Kalman Filter Versus Principal Components
Esther Ruiz & Pilar Poncela
20228 citations
Performance Analysis: Economic Foundations and Trends
Valentin Zelenyuk
20211 citations
Experimetrics: A Survey
Peter G. Moffatt
20211 citations
Climate Econometrics: An Overview
Jennifer L. Castle & David F. Hendry
20204 citations
Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis
Moshe Ben‐Akiva et al.
2019184 citations
Structural Econometrics of Auctions: A Review
Matthew Gentry et al.
20182 citations
Data Visualization and Health Econometrics
Andrew M. Jones
20172 citations
Spatial Econometrics: A Broad View
Giuseppe Arbia
20167 citations
Bifurcation of Macroeconometric Models and Robustness of Dynamical Inferences
William A. Barnett & Guo Chen
201523 citations
Efficiency Analysis: A Primer on Recent Advances
Christopher F. Parmeter & Subal C. Kumbhakar
201493 citations
The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models
Chandra R. Bhat
201438 citations
Choosing the More Likely Hypothesis
Richard Startz
201410 citations

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