What is Econometrics? -- A Review of Some Basic Statistical Concepts -- Simple Linear Regression -- Multiple Regression Analysis -- Violations of the Classical Assumptions -- Distributed Lags and Dynamic Models -- The General Linear Model: The Basics -- Regression Diagnostics and Specification...

Part 1: What Is Econometrics? -- Basic Statistical Concepts -- Simple Linear Regression -- Multiple Regression Analysis -- Violations of the Classical Assumptions -- Distributed Lags and Dynamic Models -- Part 2: The General Linear Model: The Basics -- Regression Diagnostics and Specification...

The global health crisis, exacerbated by the COVID-19 outbreak, has challenged all sectors of society, including health, economics, finance, and social inequality. The threats and complexities from the COVID-19 pandemic shock are the core subject of this latest volume in the Contributions to...

This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large number of cross-sectional units is observed over a short period of time, and cross-sectional units are interdependent in more than a single network domain. The latter provides...

Many data situations require the consideration of network effects among the cross-sectional units of observation. In this paper, we present a generalized panel model which accounts for two features: (i) three types of network effects on the right-hand side of the model, namely through weighted...

We propose an Adjusted Quasi-Score (AQS) method for constructing tests for homoskedasticity in spatial econometric models. We first obtain an AQS function by adjusting the score-type function from the given model to achieve unbiasedness, and then develop an Outer-Product-of-Martingale-Difference...

This paper proposes a generalized panel data model with random effects and first-order spatially autocorrelated residuals that encompasses two previously suggested specifications. The first one is described in Anselin’s (1988) book and the second one by Kapoor, Kelejian, and Prucha (2007). Our...

This paper extends the Baltagi et al. (2018, 2021) static and dynamic ε-contamination papers to dynamic space-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the...