The second step to check the stability of panel data regression models is to choose the appropriate model specification, such as fixed effects, random effects, or pooled OLS.

Learn the basic criteria and steps to choose the best regression model for your data type, distribution, number of variables, fit, performance, and interpretation.

At the application level, there are various types of data, including cross-sectional data, time series data, and panel data (pooled). Panel data is data where the combination of cross sectional data ...

If the initial hypothesis of the Breusch-Pagan test is not rejected, perform the analysis using the panel/pooling regression model. Diagnostic checking is carried out after knowing the model ...

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of ...

This paper proposes a Bayesian nonparametric regression model of panel data for sequential pattern classification. The proposed method provides a flexible and parsimonious model that allows both ...

In this article, the data base of Geographically Weighted Regression (shorted for GWR) model was expanded to panel data. Based on local bandwidth theory, spatial panel data GWR model Maximum ...

We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a covariate sequentially exogenous conditional on lagged outcomes and covariates). The ...

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of ...