📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
📦A metapackage for the bookdown project 'Introduction to Econometrics with R', an interactive companion to the textbook 'Introduction to Econometrics' by Stock & Watson (2015)
📖 Un complemento interactivo para entender y dominar la Econoalgoritmia: Econometría Avanzada y Ciencia de Datos con R.
Replication: Do Women Give Up Competing More Easily? Evidence from the Lab and the Dutch Math Olympiad
Database system to capture and analyze parameters of educational institution, allowing to evaluate in real time the performance of a student, campus, state and country.
This repository contains Stata replication code for the research project 'Composite Classes, Class Size and Human Capital Accumulation'. More details on the project here: https://fraserofallander.org/publications/composite-classes-class-size-and-human-capital-accumulation/
A Python script using Plotly to analyze and visualize the economic impact and deadweight loss of the Section 232 steel tariffs.
Transparency, analysis, forecasting, visualization and improvement of the financial performance of the global economy. Provides two modules, VEGA (Visualization and Evaluation of Global Accounting) and SOLARIS (Securities Optimization and Long-term Analysis of Risk on Investment Strategies).
This project seeks to identify patterns of excessive overtime, calculate the profitability of additional hiring, and quality of existing hires based on turnover by employee type, contract and leave circumstances.
This project seeks to make supply chains in the grocery sector more efficient, secure and customizable, addressing problems of logistics, reduction of food waste and segmentation at the local, regional or national level of consumption.
This project seeks to capture several performance variables of the health sector, including waiting times, rescheduling, treatment and follow-up of each citizen, generating a digital medical profile taking into consideration the quantitative and qualitative state of the facilities, supplies and different types of employees.
A structured series of notebooks applying statistical modeling, causal inference, and exploratory data analysis using Python and real-world datasets, based on Data Analysis for Business, Economics, and Policy by Békés & Kézd
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