Seven Decades of Econometrics and Beyond

Badi H. Baltagi is a Distinguished Professor of Economics at Syracuse University, known for his influential work in econometrics. He has served as editor for Economics Letters and Empirical Economics, and as replication editor for the Journal of Applied Econometrics. A Fellow of the Journal of Econometrics, Baltagi has received numerous accolades, including the Plura Scripsit Award from Econometric Theory and the Distinguished Authors Award from the Journal of Applied Econometrics. He co-edits the Advanced Studies in Theoretical and Applied Econometrics series (Springer) and is the author of foundational texts such as Econometric Analysis of Panel Data and Econometrics (both Springer). Link.László Mátyás is a renowned Hungarian-Australian economist and econometrician, currently a University Professor at the Department of Economics at Central European University (CEU), with campuses in Budapest and Vienna. He is widely recognized for his contributions to econometrics, particularly in panel data analysis, and has (co)authored and (co)edited several high-impact works. Mátyás previously served as Senior Lecturer at Monash University (Melbourne, Australia) and was the founding Director of the Institute for Economic Analysis in Budapest. He also held the position of Provost at CEU. Currently, he co-edits the Springer series Advanced Studies in Theoretical and Applied Econometrics, and his recent volume, Seven Decades of Econometrics and Beyond, is the 14th book he has edited or co-authored in his distinguished career.

• Analysis of Business Survey Data The Mannheim Years.- Predicting World Population with Endogenous Fertility and Uncertain Climate Change Reflections on Marc Nerlove s Parable of Firewood.- Re estimating Supply Elasticities of Selected Agricultural Commodities.- Discrete GamesA Historical Perspective.- Measuring Income Inequality and Distribution of Outcomes.- The Wizard of OZ Opportunity Zones Spatial Spillovers in Place Based Programs.- Churns and Uncertainties in Coping with Health Shocks without Health Insurance An Analysis Based on SIPP Panels over 2009 2016.- Output ConvergenceTo What and How Fast.- On Pooling Machine Learning Panel Data Regressions.- Estimating Dynamic Binary Choice Models with Higher Order Network Effects.- Horizontal or Vertical Regression to Construct Counterfactuals.- Nonparametric Correlated Random Effects Models.- The Correlated Random Effects GMM lev Estimatio Monte Carlo Evidence and Empirical Applications.- Serial Correlation in the One way and Two way Error Components Models and their Estimation using Whittles Approximate Maximum Likelihood Method.- Dynamic Heterogeneous Linear Models for Three level Panel Data.- The Basics of the Mundlak and Chamberlain Projections.- An Algebraic Equivalence between Generalized Fixed Effects and a Generalized Mundlak Regression with Applications to Heterogeneous Trends.- Simulation based Finite Sample Tests in Simultaneous Equations.- Dynamic Log Linear Probability Models with Interaction.