Sometimes, the biggest challenge is creating a uniform dataset. Here we outline one recent example.
The Difference-in-Difference (DiD) analysis is a powerful econometric tool to analyze the difference between two groups after some type of treatment.
Using actual data from the Seattle Police Dept, we created a machine learning model to predict the likelihood of arrest after routine police stops.
The Machine Learning portion of the K-Nearest Neighbors exercise.
Using a mix of computer programming and database design, Maderas Partners excels at taming messy data and performing complex calculations on datasets of any size. […]
From program evaluation to time series analysis to predictive modeling, Maderas Partners got its start in statistical and econometric analysis. We perform the majority of […]
We understand that while fancy data analytics is great, sometimes what the client really needs is to communicate the results in a way that is […]
Data Analytics & Investment