## Crisis from the South /2

And it appears that the  problem is not just limited to remittances. According to The Institute of International Finance, private financial flows from rich countries to poor ones will decrease by 63% this year: from US\$ 456,8 billions in 2008 down to 165,4 billions in 2009. In 2007 these flows amounted to US\$ 928,6 billion.Talking about Latin America, inflows will be down  51% from 2008 level and 76% considering 2007 level.

Tuesday, 10 March 2009

### blogroll

#### r-bloggers.com

• Introducing scale model in greybox
At the end of June 2021, I released the greybox package version 1.0.0. This was a major release, introducing new functionality, but I did not have time to write a separate post about it because of the teaching and lack of free time. Finally, Christmas has arrived, and I could spend several ... Continue reading: […]
• Plotting Bee Colony Observations and Distributions using {ggbeeswarm} and {geomtextpath}
Setup Loading the R libraries and data set. # Loading libraries library(geomtextpath) # For adding text to ggplot2 curves library(tidytuesdayR) # For loading data set library(ggbeeswarm) # For creating a beeswarm plot library(tidyverse) # For the gg... Continue reading: Plotting Bee Colony Observations and Distributions using {ggbeeswarm} and {geomtextpath}
• Non-linear model of serial dilutions with Stan
In chapter 17 “Parametric nonlinear models” of Bayesian Data Analysis1 by Gelman et al., the authors present an example of fitting a curve to a serial dilution standard curve and using it to estimate unknown concentrations. Below, I build t... Continue reading: Non-linear model of serial dilutions with Stan
• Predicting future recessions
Even if this sounds incredible, yes, we can predict future recessions using a couple of time series, some simple econometric models, and … R !  The basic idea is that the slope of the yield curve is somewhat linked to the probability of future recessions. In other words, the difference between the ... Continue reading: […]
• Detecting multicollinearity — it’s not that easy sometimes
By Huey Fern Tay with Greg Page When are two variables too related to one another to be used together in a linear regression model? Should the maximum acceptable correlation be 0.7? Or should the rule of thumb be 0.8? There is actually no single, ‘one-size-fits-all’ answer to this question. As an ... Continue reading: Detecting multicollinearity […]