There is consensus regarding the fact that the change in total factor productivity CTFP) rather than the rate of capital changes in efficiency interms of in capita GDP countries. variations are with the use of production factors not explained their accumulation and that, in the term, are more greatly associated to the process of technological progress and company innovation. This thesis is Using the an effort to contribute to the study of firm-level innovation, in the particular Chilean manufacturing firms Innovation Survey (EIT together with the Ann National Industrial Survey an econometric Technologica spending mod to identify factors from the determinants of innovation efforts to the impact of order to study ovation and in order performed in by its performance in productive and export activity.
In Multidisciplinary Business Review, MBR.

Properly identify the relationship between export and innovation is key to designing efficient policy instruments. However, there is still no consensus on how has to be the direct causal relationship between innovation and export. In this paper the authors develop an empirical analysis for the Chilean manufacturing sector which seeks to unravel this relationship.
In Estudios Publicos

Publications & Working Papers

  • Mediciones de Productividad Agregada en Chile: Una RevisiĆ³n de la literatura

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  • Mediciones de Productividad Sectorial en Chile: Una RevisiĆ³n de la literatura

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  • The Evolution of Innovation in Chile: An Econometric analysis at Firm-level for the 1995-2010 period.


  • Back to the fundamentals (basis): A dual approach growth accounting to measure & monitoring the effect of resource depletion (copper ore) on productivity of the Chilean copper industry

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  • Innovate to Export or Export to Innovate? An Analysis of Firms in the Chilean Manufacturing Industry, 1995-2010

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  • Innovation in Product & Process, Exports and its Determinants at the Firm Level in Chile: Microeconomic Evolution (1995-2010)

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Today in Chile, there is a huge concern of how (illegal/irregular) campaign donations buy political access and favourable consideration in legislation. Everything started with PENTAGATE scandal: In 2015, the national prosecutor filed charges for hundreds of fake invoices, evaded taxes, falsified statements and illegally financing the electoral campaigns of right-wing parties candidates against the Chilean financial holding company Penta Group (Here is the coverage done by the New York Times).


I made a brief Python code for collecting the data and generating a database of the votes from the Chilean Senate. This is known as Web Scraping where a process automatically extracts data from the website. To do this, I used the Python library: Beautiful Soup. #get_votacion_senadores #Author: Fernando Greve #This code scraps the Chilean Senate Webpage and constructs a database with #votes of every law project available online. In particular, the code #automaticatly generates a folder for every project and save a csv with votes #and other csv with some project details.


Shiny is a R package that helps to make interactive web applications. Thus, I used it to show the Senate Votes in Chile. The novelty of this Web application is that it gives the opportunity to have the votes of a particular senator for a certain amount of time. This application is on the next link: Shiny-App. #server.R library("dplyr") library("shiny") load("VotosSenado.Rda") function(input, output) { datasetInput <- reactive({ switch(input$dataset, "TODOS" = head(select(filter(VotosSenado, grepl(input$txt, Tema, ignore.


.land { fill: #222; } .county-boundary { fill: none; stroke: #fff; stroke-width: .5px; } .state-boundary { fill: none; stroke: #fff; } .border { stroke: #000; fill: none; } .graticule { fill: none; stroke: #777; stroke-width: .5px; stroke-opacity: .5; } //var width = 300, height = 700; var width = $("#d3div").width(), height = 700; var projection = d3.geo.transverseMercatorChile() .translate([width / 2, height / 2]); var path = d3.


body { font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; width: 960px; height: 500px; position: relative; } #canvas { } #canvas-svg { } .land { fill: #222; } .boundary { fill: none; stroke: #fff; stroke-width: 1px; } #tooltip-container { position: absolute; background-color: #fff; color: #000; padding: 10px; border: 1px solid; display: none; } .tooltip_key { font-weight: bold; } .tooltip_value { margin-left: 20px; float: right; } d3.



R-Shiny Senate Votes

interactive web application of the Chilean Senate Votes.

Web Scraping Chilean Senate Votes

This code scraps the Chilean Senate Webpage and constructs a database with votes of every law project available online.

Total Factor Productivity measure for the Productivity Comission of Chile

The code in this folder automatically generates TFP measurement under the CNP methodology reported in the (1st) Annual Productivity Report 2016.

Innovation-exports behavior at firm-level in developing countries: How this causal relationship changes in acquisition of knowledge or R&D?

With micro-level data from a developing country (Chile), I use an econometric causality test (Granger) to study the relationship between the innovation effort and the exports propensity, distinguishing between knowledge acquisition and R&D expenditures.


I am a teaching instructor for the following courses at Universidad de Chile and Universidad Mayor:

  • Macroeconomics: (x1), Undergraduate course, Universidad de Chile.
  • Data Analysis: (x1), Undergraduate course, Universidad Mayor.
  • Microeconomics II / Industrial Organization (x3): Undergraduate course, Universidad Mayor.


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