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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20190719T085744Z
LOCATION:HG D 3.2
DTSTART;TZID=Europe/Stockholm:20190612T163000
DTEND;TZID=Europe/Stockholm:20190612T170000
UID:submissions.pasc-conference.org_PASC19_sess169_msa137@linklings.com
SUMMARY:Respy - A Package for the Solution and Estimation of Structural Mi
 croeconometric Models
DESCRIPTION:Minisymposium\nEmerging Application Domains\n\nRespy - A Packa
 ge for the Solution and Estimation of Structural Microeconometric Models\n
 \nGabler, Eisenhauer\n\nPredicting how forward-looking individuals respond
  to policy changes that have not yet been implemented is one of the most c
 hallenging tasks in economics. respy is an open source package that provid
 es an efficient and modern implementation of algorithms for the solution a
 nd estimation of several classical structural microeconomic models aimed a
 t answering these questions. It provides a pure Python as well as a scalar
  and parallel Fortran implementation. All are extensively tested and subje
 ct to automatic and peer code reviews, using Quantified Code, Codacy and L
 andscape. Due to a hybrid parallelization strategy, the code can run effic
 iently on large clusters. The code base is used in several academic public
 ations and is serving as a starting point for many more.
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