Gaussian Structured Additive Regression provides a flexible framework for additive decomposition of the expected value with nonlinear covariate effects and time trends, unit- or cluster-specific heterogeneity, spatial heterogeneity, and complex interactions between covariates of different types....

Modeling real estate prices in the context of hedonic models often involves fitting a Generalized Additive Model, where only the mean of a (lognormal) distribution is regressed on a set of variables without taking other parameters of the distribution into account. Thus far, the application of...

We perform a Meta-Regression Analysis (MRA) of the literature on government size and corruption, examining 450 empirical estimates retrieved from 44 primary papers published from 1998 to 2022. We find considerable heterogeneity in the results, mainly depending on whether the paper is published...

In this study, we proposed two types of hybrid models based on the heterogeneous autoregressive (HAR) model and support vector regression (SVR) model to forecast realized volatility (RV). The first model is a residual-type model, where the RV is first predicted using the HAR model, and the...

Purpose - The study has endeavored to assay the nexus between the converged version of the International Financial Reporting Standards (IFRS) on the performance of the Indian-listed manufacturing firms. Design/methodology/approach - The study has randomly accessed the data of the Bombay Stock...

Discrete choice experiments (DCEs) often present concise choice scenarios that may appear incomplete to respondents. To allow respondents to express uncertainty arising from this incompleteness, DCEs may ask them to state probabilities with which they expect to make specific choices. The...