{"name":"EGSimulation","portdir":"science/EGSimulation","version":"1.2","license":"public-domain","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/tazzben/EconScripts/tree/master/Simulations/Python/EG%20Statistic","description":"Simulate the Ellison & Glaeser statistic using randomness alone","long_description":"By using a simulation of firm sizes (using a lognormal distribution) and specified geographic regions, standard deviations and employee head count, we can compute the critical regions for the Ellison & Glaeser statistic. In the process, it also calculates herfindahl values and provides critical regions. You can also use Françoise Maurel and Béatrice Sédillot (1999)'s specification for both G and gamma.","active":true,"categories":["science"],"maintainers":[{"name":"tazz_ben","github":"","ports_count":3}],"variants":[],"dependencies":[{"type":"build","ports":["clang-17"]},{"type":"lib","ports":["python27","py27-numpy","py27-pycryptodome","py27-scipy"]}],"depends_on":[]}