Equilibrando a dívida pública

Pessoal, liberei uma atualização do meu webapp de simulação de crescimento da dívida pública. Visitem em https://gabrielrega.shinyapps.io/divida_web/ e divirtam-se.

Anúncios

Análise de sentimento do COPOM com R (parte 1: usando a base de dados)

Inspirado no artigo “Quando as palavras contam a história”, do Terraço Econômico, resolvi elaborar minha própria implementação do método, contribuindo para a comunidade. Vou mostrar então como eu fiz em alguns posts dessa série:

  1. Usando a base de dados
  2. Replicando a base de dados
  3. Analisando o sentimento

Resolvi começar pelo final, divulgando a base de dados já pronta, para que os colegas possam já começar a criar suas próprias análise, nuvem de termos, contagem de palavras, etc.

Continuar lendo

80 Economic Bestsellers before 1850: A Fresh Look at the History of Economic Thought

Lista interessante de livros clássicos de economia, famosos no seu tempo (antes de 1850), mas negligenciados hoje.

Developing Economics

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This new Working Paper studies the economics books which – judged by the number of editions – were the most influential between 1500 and 1849, and compares these to what is represented in accounts of the history of economic thought today. The most interesting outcome of this work is that if we assume some degree of correlation between the influence of a text and the number of editions published, the publication history we present here suggests that some authors who were once influential are now being neglected.

Ver o post original 3.410 mais palavras

ARQUIVO: Hierarquia de Necessidades: Nain vs Marlow (2013)

Nessa época eu estava interessado em achar uma nova forma de representar a demanda por bens, sem usar as elasticidades.

This article gives reasons as to why Maslow’s & ERG Theory of Needs is inaccurate. It also gives reasons why the same is inaccurate in an organizational perspective. The author also gives a alternative model of needs, namely the Nain Model, which is particularly applicable in an organizational perspective. This article has been written for those interested in Organizational Behaviour.

via Nain’s Hierarchy of Needs: An Alternative to Maslow’s & ERG’s Hierarchy of Needs – Munich Personal RePEc Archive.

ARQUIVO: O que sabemos sobre organização das firmas (2013)

Artigo interessante e antigo do vox sobre caixas pretas, ambiente determinando design (evolução ou ECD?), focado em política de comérico externo.

Increasingly, people are pointing the finger of blame for economic woe at large firms. This column argues that organisation design is often affected by government trade policy. If firm organisation design has implications for consumer welfare in terms of prices and quality of product, evidence suggests that governments should make sure that in future, trade policy and corporate governance policy are more complementary.

via Firm organisation: What we know and why we should care | vox.

ARQUIVO: Pensando com open data (2012)

MENSAGEM: Compartilhem o seu código!

Accessing the data is a key part of verifiability of scientific results, but it isn’t enough. Scientists have the burden of convincing a skeptical audience they have done everything possible to root error out of their research, and so they need to explain (and justify) the steps from data collection to final results. This is nothing new, as reproducibility has been part of the scientific method since the 1660’s, but now the reproducible research movement advocates the sharing the computer code as well as the data that generated the results in the published article.

http://crookedtimber.org/2012/06/26/reasoning-with-open-data/

ARQUIVO: Melhorando seu R (2016)

Um novo padrão de manipulação de dados e programação em R vem surgindo. E certos livros recém lançados ainda não aprenderam…

Over the last year I have changed my data processing and manipulation workflow in R dramatically. Thanks to some great new packages like dplyr, tidyr and magrittr (as well as the less-new ggplot2) I’ve been able to streamline code and speed up processing. Up until 2014, I had used essentially the same R workflow (aggregate, merge, apply/tapply, reshape etc) for more than 10 years. I have added a few improvements over the years in the form of functions in packages doBy, reshape2 and plyr and I also flirted with the package data.table (which I found to be much faster for big datasets but the syntax made it difficult to work with) — but the basic flow has remained remarkably similar. Until now…

Fonte: A new data processing workflow for R: dplyr, magrittr, tidyr, ggplot2 | Technical Tidbits From Spatial Analysis & Data Science

Dica de: http://lmonasterio.blogspot.com.br/2016/11/diversos_24.html