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BLP Demand Estimation with Python: High Dimensional FE

active 2023-08-292026-07-01 (UTC)

Complete coverage26,324 / 26,324 hourly files (100%) · 2 absent upstream2023-08-152026-08-15 (UTC)
Events
367
Pushes
25
Pull requests
1
Issues
76
Stars
67
Forks
20

Activity over time

Daily event counts in the loaded window

Line chart, 1038 days from 2023-08-29 to 2026-07-01. Pushes: 25 total, peak 3 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 76 total, peak 3 in a day. Comments: 173 total, peak 6 in a day. Stars: 67 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue#1871johnreaves2026-01-22 21:03
    Interpreting log-linear coefficients
  • Issue comment#1871johnreaves2026-01-22 21:03
    Interpreting log-linear coefficients
  • Issue comment#187jeffgortmaker2026-01-20 15:46
    Interpreting log-linear coefficients
  • Issue#187jeffgortmaker2026-01-20 15:46
    Interpreting log-linear coefficients
  • Issue#1871johnreaves2026-01-19 22:20
    Interpreting log-linear coefficients
  • Issue comment#186jeffgortmaker2025-12-02 17:32
    Unexpected behavior when setting error_punishment
  • Issue comment#1861johnreaves2025-12-01 21:55
    Unexpected behavior when setting error_punishment
  • Issue comment#170flucoe2025-10-23 21:53
    Solving First Order Conditions allowing for sales taxes.
  • Pull request#185marek-chadim2025-09-28 13:16
  • Issue comment#184ZiqiaoLiu2025-09-10 22:58
    Problem with counterfactual simulation of adding a new product
  • Issue comment#183jeffgortmaker2025-09-03 14:40
    Store micro-moments (or micro-moment names) in results
  • Issue comment#183avner-ak2025-09-03 14:39
    Store micro-moments (or micro-moment names) in results
  • Issue#183avner-ak2025-09-02 23:24
    Store micro-moments (or micro-moment names) in results
  • Issue#182jeffgortmaker2025-05-26 15:47
    Counterfactual: Tax Change and Updating Exogenous Characteristic
  • Issue comment#182jeffgortmaker2025-05-25 14:25
    Counterfactual: Tax Change and Updating Exogenous Characteristic
  • Issue#182GRKretschmar2025-05-24 18:59
    Counterfactual: Tax Change and Updating Exogenous Characteristic
  • Issue comment#176jeffgortmaker2025-05-23 20:37
    Resolve the equilibrium with only a subset of product's attributes and mc changed while others' prices fixed
  • Issue#176jeffgortmaker2025-05-23 20:37
    Resolve the equilibrium with only a subset of product's attributes and mc changed while others' prices fixed
  • Issue comment#181cc11-hh2025-05-14 17:46
    Issues when calculating equilibrium price using new alpha transformation
  • Issue comment#181jeffgortmaker2025-05-14 17:42
    Issues when calculating equilibrium price using new alpha transformation
  • Issue comment#181chrisconlon2025-05-14 17:18
    Issues when calculating equilibrium price using new alpha transformation
  • Issue comment#181chrisconlon2025-05-14 17:03
    Issues when calculating equilibrium price using new alpha transformation
  • Issue comment#181cc11-hh2025-05-13 23:03
    Issues when calculating equilibrium price using new alpha transformation
  • Issue comment#181jeffgortmaker2025-05-10 21:04
    Issues when calculating equilibrium price using new alpha transformation
  • Issue#181jeffgortmaker2025-05-10 21:04
    Issues when calculating equilibrium price using new alpha transformation

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 67 stars here means stars gained during the window, not the repo's star count.