Pinned Repositories
AAABK2018.jl
AAABK (2018) Model in Julia
BLPDemand.jl
CompEcon
CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial and boundary value problems), routines for solving discrete and continuous time dynamic programming problems, and a general solver for financial derivatives (bonds, futures, options).
CompEconCopy
This is almost the same as CompEcon Toolbox provided by Miranda and Fackler, with recompiling .c files to be compatible with Matlab 2017b.
DiD_Codes
This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"
DiscreteChoice.jl
Imperfect_Insurance_Competition_Code
Lectures
Materials from Lectures
kdzhang's Repositories
kdzhang/CompEconCopy
This is almost the same as CompEcon Toolbox provided by Miranda and Fackler, with recompiling .c files to be compatible with Matlab 2017b.
kdzhang/AAABK2018.jl
AAABK (2018) Model in Julia
kdzhang/BLPDemand.jl
kdzhang/CompEcon
CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial and boundary value problems), routines for solving discrete and continuous time dynamic programming problems, and a general solver for financial derivatives (bonds, futures, options).
kdzhang/DiD_Codes
This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"
kdzhang/DiscreteChoice.jl
kdzhang/Imperfect_Insurance_Competition_Code
kdzhang/Lectures
Materials from Lectures
kdzhang/LianJiaSpider
链家爬虫
kdzhang/Paper_Notes
kdzhang/QuantEcon.applications
A repository that houses example code, applications and teaching material related to QuantEcon
kdzhang/show-me-the-code
Python 练习册，每天一个小程序
kdzhang/StructEst_W17
MACS 40200: Structural Estimation