rajibumass Goto Github PK

blp-demand-estimation

Python code for BLP (Berry, Levinsohn and Pakes) method of structural demand estimation using the random-coefficients logit model. Code for estimation of demand and supply-side moment jointly is also provided.

blp_1995_car_market

Estimation of product demand in car market, using random coefficient model from Berry, Levinsohn and Pakes (1995). Code written in Matlab.

cereal-blp

BLP implementation based on Nevo (2000)

cktv_2021_jasa

compsci-589

Open source applied machine learning course

covid-19-data

An ongoing repository of data on coronavirus cases and deaths in the U.S.

decisiontreeid3

My implementation of Decision Tree ID3 algorithm for all categorical attributes.

difference-in-differences

Use Difference in Differences method to validate U.S. food aid affects on civil conflict.

grad-io

Graduate Empirical Industrial Organization

hospital-cost-reports

Code to process the CMS hospital cost reports (HCRIS)

llg-matlab-experiments

logistic-to-blp-model-from-scratch

Random coefficient discrete choice model by Berry Levinsohn and Pakes 1995. Estimates customers' valuation of product features and market power of rival companies without requiring household survey.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

open-data-registry

A registry of publicly available datasets on AWS

rajib-rahman

rdmulti

estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores.

synthdid

Synthetic difference in differences

tr-bdf2

Algorithm for numerically computing integrals using combination of the trapezoidal rule and the backward differentiation formula