You may be able to download this chapter for free via the Document Object Identifier. What should applied macroeconomists know about local projection (LP) and vector ...

Abstract: This paper presents macroeconomic forecasting by using a time-varying Bayesian compressed vector autoregression approach. We apply a random compression by using projection matrix to randomly ...

A seasoned software engineer with over 15 years of experience developing scalable web & enterprise applications If you’ve used ChatGPT, Perplexity, or any modern AI-powered search engine recently, you ...

Objective: This study aimed to develop depression incidence forecasting models and compare the performance of autoregressive integrated moving average (ARIMA) and vector-ARIMA (VARIMA) and temporal ...

An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages ...

Forecasting solar irradiance is a critical task in the renewable energy sector, as it provides essential information regarding the potential energy production from solar panels. This study aims to ...

Learn about Python metaclasses, how to define and use them, and explore examples to understand their functionality with this comprehensive tutorial. Python, known for its simplicity and readability, ...

Python is a high-level programming language that is widely used for Machine Learning (ML) applications. It is known for its readability, versatility and ease of use, making it an ideal choice for ...