Econometric Sense

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

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...
Friday, August 28, 2020

Blocked Designs

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When I first learned about randomized complete block designs as an undergraduate to me it was just another set of computations to memorize f...
Sunday, July 26, 2020

Assessing Balance for Matching and RCTs

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Assessing the balance between treatment and control groups across control variables is an important part of propensity score matching. It...
Wednesday, May 6, 2020

Experimentation and Causal Inference: Strategy and Innovation

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Knowledge is the most important resource in a firm and the essence of organizational capability, innovation, value creation, strategy, and c...
Tuesday, April 21, 2020

Experimentation and Causal inference: A Behavioral Economic Perspective

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In my previous post I discussed the value proposition of experimentation and causal inference from a mainline economic perspective. In this...
Monday, April 20, 2020

Experimentation and Causal Inference Meet the Knowledge Problem

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Why should firms leverage experimentation and causal inference? With recent advancements in computing power and machine learning, why can...
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Matt Bogard
Applied economist focusing on the economics of food, health, and biotechnology.
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