Introduction to Causal Inference in the Ride-Hailing Business – Alessandro Romano, Free Now

Premium content

Login or register to unlock the content

Session Outline

Designing an experiment shows us how many constraints and limitations we have to deal with. Every business requires a different way to set up experimentations, therefore disparate techniques to test our solutions. Standard approaches in statistics, such as regression analysis, are concerned with quantifying how changes in X are associated with changes in Y. Unlike methods that are concerned with associations only, causal inference approaches can answer the question of why Y changes.

Key Takeaways

  • Answering the question of why changes in X are associated with changes in Y
  • Correlation doesn’t mean causation
  • Challenge and enhance correlation results

Add comment

Highlight option

Turn on the "highlight" option for any widget, to get an alternative styling like this. You can change the colors for highlighted widgets in the theme options. See more examples below.


Instagram has returned empty data. Please authorize your Instagram account in the plugin settings .

Ivana Kotorchevikj

Categories count color


Small ads


  • Traffic lights
  • WoMo
  • Setra presentation
  • endless
  • stand still screening-smoking girl
  • Maria d'Odessa performs her art of make-up
  • Afro-deko-mono
  • Maria d'Odessa, touching
  • Maria d'Odessa au bâton de rouge-baiser

Social Widget

Collaboratively harness market-driven processes whereas resource-leveling internal or "organic" sources.