Coder Social home page Coder Social logo

pinkdiamond1 / welcom-tool Goto Github PK

View Code? Open in Web Editor NEW

This project forked from worldbank/welcom-tool

0.0 1.0 0.0 21.04 MB

WELCOM, an easy-to-use Stata-based package with minimum data requirements, was conceived as part of larger World Bank efforts to better understand how competition policy can improve market efficiency and reduce poverty. WELCOM can estimate likely distributional direct effects—that is, decrease in price and poverty, and increase in product uptake—from expanding competition

TeX 0.10% Stata 99.90%

welcom-tool's Introduction

About

WELCOM, an easy-to-use Stata-based package to estimate direct distributional effects of changes in market concentration using minimum data requirements. It was conceived as part of larger World Bank efforts to better understand how competition policy can improve market efficiency and reduce poverty.

Why is fully grasping the distributional effects of competition central for policymaking?

  1. Links between declining competition and rising inequality are more worrying for developing countries, which tend to have more concentrated markets. Poor households are typically more exposed to the potential negative effects of lack of competition.

  2. The Creation of markets or prompting competition in concentrated markets could serve as a mechanism for poverty reduction, beyond the established effects on growth and productivity.

Lower prices resulting from higher competition in the production of any good benefits both current and potential new consumers previously “priced out” of a market. The WELCOM tool also enables users to identify the likely entry effects of new consumers due to lower prices of goods and services through the MCWEL module, as well as the likely welfare effects for those new entrants, through the “Market Competition and the Extensive Margin Analysis” (MCEMA) module.

Install Method 1

  1. Please install the github module for installing Stata packages conceived by E. F. Haghish. For more information please click here. To install github please run the following command
net install github, from("https://haghish.github.io/github/")
  1. Please run the following command to install WELCOM using the Stata github package by E. F. Haghish
github install worldbank/welcom-tool
  1. In new *.do file., please execute the following
* To make WB Open Data work
set checksum off, permanently

* To add WELCOM tool to menu
_welcom_menu

exit

  1. Close Stata and reopen.

Install Method 2

Alternatively the user can also install WELCOM by carrying out the following steps.

  1. Download the welcom.rar file, unzip the folder in a local directory. For instance, "c:/temp".

  2. Please execute the following commands, but modify the "net from" portion to where you saved the welcom.rar files:

set more off
net from c:/temp/welcom/Installer
net install welcom_p1,   force
net install welcom_p2,   force
net install welcom_p3,   force
net get     welcom_data, force
  1. In new *.do file., please execute the following
* To make WB Open Data work
set checksum off, permanently

* To add WELCOM tool to menu
_welcom_menu

exit

  1. Close Stata and reopen.

Documentation

Two user manuals are currently available for the tool. These can be found in the manuals folder. Furthermore, one background paper to introduce the tool was produced as well as a WB Poverty and Equity GP Note.

  1. WELCOM (MCWEL) user manual: standard tool.
  2. MCEMA user manual: extends the standard tool to simulate the effects of new consumers in the market (extensive margin of consumption) due to lower prices.

Working Paper—Distributional Effects of Competition A simulation approach

Note—Welfare and Competition (WELCOM): a simulation approach

welcom-tool's People

Contributors

kbjarkefur avatar rgranguillhomeoc avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.