CapMod: A Simulated Society to Evaluate Empirical Estimators of Capabilities
Florian Chávez-Juárez and
Jaya Krishnakumar
Authors registered in the RePEc Author Service: Florian Wendelspiess Chávez Juárez ()
Journal of Human Development and Capabilities, 2021, vol. 22, issue 1, 52-79
Abstract:
This article introduces an innovative approach to the validation of empirical methods aiming at estimating capabilities. Validating these empirical methods is difficult because capabilities are not directly observable. We propose a computational model to generate data from a simulated society, where we observe both functionings and capabilities. These data can then be used to compare estimation methods against each other. Most importantly, our data generating process is completely disconnected from any estimation procedure and can, therefore, be used to compare a variety of methods. The model is calibrated to the Mexican economy and coherently reproduces many stylised facts of this economy. The article also proposes a short illustrative analysis on how to use the simulated data and a section on how this can be implemented practically.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/19452829.2020.1850659 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jhudca:v:22:y:2021:i:1:p:52-79
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJHD20
DOI: 10.1080/19452829.2020.1850659
Access Statistics for this article
Journal of Human Development and Capabilities is currently edited by Kathryn Rosenblum
More articles in Journal of Human Development and Capabilities from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().