Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...

Discover how human resource planning might be used to estimate the correct demand for labor in a given market, both qualitatively and quantitatively.

For millions of immigrants, arriving in a new country means navigating not just cultural shifts but economic hurdles.

In the natural sciences, a laboratory experiment can isolate variables, various particles and their movements. Similarly, the employment of an econometric model is an attempt to produce an economic ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

anbem_estimation.R: The R code implementing the Gibbs sampling algorithm for ANBEM estimation, as detailed in Appendix A of the manuscript. This code includes data preprocessing, model estimation, and ...

ABSTRACT: This paper proposes a universal framework for constructing bivariate stochastic processes, going beyond the limitations of copulas and offering a potentially simpler alternative. The ...

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...

ABSTRACT: This study investigates the intricate relationship between key determinants of Foreign Direct Investment (FDI) inflows and the role of a robust local supplier network in enhancing Bangladesh ...

This study focuses on the role of agricultural production agglomeration in strengthening agricultural economic resilience, exploring the threshold effect of agricultural technological innovation level ...