juliaeconomics.com valuation and analysis

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Title Julia/Economics | A Tutorial Series for Economists Learning to Program in the Julia
Description A Tutorial Series for Economists Learning to Program in the Julia
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WebSite juliaeconomics faviconjuliaeconomics.com
Host IP 192.0.78.24
Location United States
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juliaeconomics.com Valuation
US$1,191,335
Last updated: 2023-05-14 07:15:03

juliaeconomics.com has Semrush global rank of 8,884,408. juliaeconomics.com has an estimated worth of US$ 1,191,335, based on its estimated Ads revenue. juliaeconomics.com receives approximately 137,462 unique visitors each day. Its web server is located in United States, with IP address 192.0.78.24. According to SiteAdvisor, juliaeconomics.com is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$1,191,335
Daily Ads Revenue US$1,100
Monthly Ads Revenue US$32,991
Yearly Ads Revenue US$395,890
Daily Unique Visitors 9,165
Note: All traffic and earnings values are estimates.
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juliaeconomics.com. NS 86400 NS Record: ns3.wordpress.com.
juliaeconomics.com. NS 86400 NS Record: ns2.wordpress.com.
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Julia/Economics A Tutorial Series for Economists Learning to Program in the Julia Language Menu Tutorials Search for: An Introduction to Structural Econometrics in Julia This tutorial is adapted from my Julia introductory lecture taught in the graduate course Practical Computing for Economists , Department of Economics, University of Chicago. The tutorial is in 5 parts: Installing Julia + Juno IDE, as well as useful packages Defining a structural econometric challenge Data generation, management, and regression visualization Numerical simulation of optimal agent behavior under constraints Parallelized estimation by the Method of Simulated Moments Here is the GitHub repository to replicate the results in this tutorial. 1. Installing Julia + Juno IDE, as well as useful packages Perhaps the greatest obstacle to using Julia in the past has been the absence of an easy-to-install IDE. There used to be an IDE called Julia Studio which was as easy to use as the popular RStudio for R. Back
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