Crisis from the South /3

The Inter-American Development Bank publishes today on its web-site previsions for remittance flows in 2009 to Latin America: they will go down for the first time since 2000. And different countries are experiencing different situation. The Andean region is effected worse by the decline of the euro whereas the Mesoamerica region sees a strong dollar partially counterbalance the decrease in money flow.

According to the Banco de Guatemala, in the first two month of 2009 remittances to the country have diminished by 9.59% comparing with same period of 2008.

Monday, 16 March 2009

Crisis from the South

According to Banco de Guatemala, for the first time since 1999, in January 2009 remittances from abroad decreased by 7.75% compared to the same month in 2008. In Guatemala remittance  flows represent 11.89% of GDP. According to the World Bank remittances can represent more than 50% of rurally-based family income and for the International Organization for Migration 30.4% of the population receives money from abroad.

Causes? Probably economic crisis and deportation of  illegal immigrants from the US.

Something is certain: remittances are a strong factor in reducing poverty in Guatemala. If flows continue to decrease is more than probable that poverty will rise in a country where, according to the government, 45,6% of children are already underweight.

Monday, 16 February 2009


Twitter: frbailo




  • Angela Bassa discusses managing data science teams and much more.
    Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Angela Bassa, the Director of Data Science at iRobot. Here is the podcast link. Introducing Angela Bassa Hugo: Hi there Angela, and welcome to DataFramed. Angela: Thanks, thanks for having me. Hugo: It's a great pleasure to have you on the show, and I'm […]
  • Preview my new book: Introduction to Reproducible Science in R
    I’m pleased to share Part I of my new book “Introduction to Reproducible Science in R“. The purpose of this …Continue reading →
  • How to de-Bias Standard Deviation Estimates
    This note is about attempting to remove the bias brought in by using sample standard deviation estimates to estimate an unknown true standard deviation of a population. We establish there is a bias, concentrate on why it is not important to remove it for reasonable sized samples, and (despite that) give a very complete bias […]
  • Data Science With R Course Series – Week 9
    There are only two more weeks in the course! This week will extend what you learned from the Expected Value by performing an optimization and sensitivity analysis. The optimization and sensitivity analysis will teach you how to identify the maximum bu...
  • RATest. A Randomization Tests package is available on CRAN
    This blog post introduces the RATest package we released a while back on CRAN with my colleague and good friend Mauricio Olivares-Gonzalez. The package contains a collection of randomization tests, data sets and examples. The current version focuses on two testing problems and their implementation in empirical work, mostly related to economics. First, it facilitates […]

RSS Simply Statistics

  • The role of academia in data science education
    I was recently asked to moderate an academic panel on the role of universities in training the data science workforce. I preceded each question with opinionated introductions which I have fused into this blog post. These are weakly held opinions so please consider commenting if you disagree with anything. To discuss data science education we […]
  • Guest Post: Galin Jones on criteria for promotion and tenture in (bio)statistics departments
    Editor’s Note: I attended an ASA Chair’s meeting and spoke about ways we could support junior faculty in data science. After giving my talk Galin Jones, Professor and Director of Statistics at University of Minnesota, and I had an interesting conversation about how they had changed their promotion criteria in response to a faculty candidate […]
  • The economic consequences of MOOCs
    tl;dr check out our new paper on the relationship between MOOC completion and economic outcomes! Last Monday we launched our Chromebook Data Science Program so that anyone with an internet connection, a web browser, and the ability to read and follow instructions could become a data scientist. Why did we launch another MOOC program? Aren’t […]

RSS Statistical Modeling, Causal Inference, and Social Science