Abstract: Traditional econometric models, such as the Fixed Effects Model (FEM) and Random Effects Model (REM), effectively address structured datasets by capturing fixed and inter-group variability ...

Northland College in Ashland, Wisconsin, held its final commencement ceremony in 2025 before closing permanently due to financial challenges and declining enrollment. The college had been in operation ...

Current Python alternatives for statistical models are slow, inaccurate and don't scale well. So we created a library that can be used to forecast in production environments or as benchmarks.

The rapid adoption of artificial intelligence (AI) in financial trading is transforming how investment strategies are developed and executed. Quantitative trading firms now rely heavily on machine ...

Much of epidemiology, econometrics, sociology and political science is an attempt to infer causal relationships using data gathered under conditions where fully controlled experiments are not possible ...

Abstract: Forecasting GDP is a key indicator that assists governments, policymakers, and businesses in ensuring economic stability, strategic planning, and decision-making. This research aims to ...

Note: ***p < 0.01. Returns calculated as marginal effects from wage regressions. The results show imperfect transferability of foreign experience, with Asian/African immigrants facing particularly low ...