Econometric Sense

An attempt to make sense of econometrics, biostatistics, machine learning, experimental design, bioinformatics, ....

Thursday, November 4, 2021

Causal Decision Making with non-Causal Models

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In a previous post  I noted:  " ...correlations or 'flags' from big data might not 'identify' causal effects, but they ...
Wednesday, July 7, 2021

R.A Fisher, Big Data, and Pretended Knowledge

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In Thinking Fast and Slow, Kahneman points out that what matters more than the quality of evidence, is the coherence of the story. In busine...
Wednesday, June 2, 2021

Science Communication for Business and Non-Technical Audiences: Stigmas, Strategies, and Tactics

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If you are a reader of this blog you are familiar with the number of posts I have shared about machine learning and causal inference and th...
Thursday, April 1, 2021

The Value of Business Experiments Part 3: Innovation, Strategy, and Alignment

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In previous posts I have discussed the value proposition of business experiments from both a classical and behavioral economic perspective. ...
Saturday, March 13, 2021

Why Study Economics/Applied Economics?

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Applied Economics is a broad field with many applications. Applied Economics is a broad field of study covering many topics. Recognizing the...
Wednesday, September 30, 2020

Calibration, Discrimination, and Ethics

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Classification models with binary and categorical outcomes are often assessed based on the c-statistic or area under the ROC curve. (see als...
Wednesday, September 2, 2020

Blocking and Causality

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In a previous post I discussed block randomized designs.  Duflo et al (2008) describe this in more detail: "Since the covariates to be...
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Matt Bogard
Applied economist focusing on the economics of food, health, and biotechnology.
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