December 15, 2019, Paper, "We develop a Bayesian latent factor model of the joint evolution of GDP per capita for 113 countries over the 118 years from 1900 to 2017. We find considerable heterogeneity ...

June 3, 2020, Paper, "We develop a Bayesian latent factor model of the joint long-run evolution of GDP per capita for 113 countries over the 118 years from 1900 to 2017. We find considerable ...

It specifically looks to answer the question: in what sense and to what extent does the famous Black-Scholes-Merton (BSM) continuous-time model of financial markets idealize more realistic ...

This also covers model specification and being able to correctly interpret estimation results. Mastering the course’s content will allow students to understand much of the advanced applied ...

This is a basic course in advanced econometrics. Econometrics deals with evaluating economic theories and models, and investigating their validity by confronting them with data, using statistical ...

Griliches addresses the relationship between research and development (R&D) and productivity, one of the most complex yet vital issues in today’s business world. Using econometric techniques, he ...

One of the most widely used econometric models for exchange rate forecasting is the Purchasing Power Parity (PPP) model, which is based on the law of one price and focuses on the long-run ...

A trained AI model can then make a prediction or decision when given new data. For example, if you feed an AI model different pictures labeled as “traffic lights”, it’ll eventually learn ...

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Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

“Everything you liked (and most of what you didn’t) in the Model 3, in a more practical shape. But not a pretty one” And while the Model Y doesn’t get the Model X’s ‘falcon doors ...