In this Q&A, Arts Economics founder Clare McAndrew explains why confidence is the art market’s most valuable currency, how generational and geographic shifts are redistributing power and why ...

Unionization in Alberta delivers clear financial benefits, shrinking the gender wage gap, and boosts pay for young workers, even as overall union coverage remains among the lowest in Canada, a ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an ...

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.

This project proposes to tackle a number of important and challenging issues in econometric model building and forecasting under cross sectional dependence, heterogeneity and nonlinearity. This ...

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The Department of Economics at the Central University of Odisha hosted a special lecture titled “Econometric Modelling: Bridging Theory and Data Analysis” on 27 March 2024 at the Department of ...

TITLE: Are Foreign and Public Investment Spending Productive in the Argentine Case? A Single Break Unit Root and Cointegration Analysis, 1960-2010.

An illustration of a magnifying glass. An illustration of a magnifying glass.

Objectives To model the impact on chronic disease of a tax on UK food and drink that internalises the wider costs to society of greenhouse gas (GHG) emissions and to estimate the potential revenue.