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Random Sets In Econometrics Molchanov Ilya S Molinari Francesca

  • SKU: BELL-9973220
Random Sets In Econometrics Molchanov Ilya S Molinari Francesca
$ 31.00 $ 45.00 (-31%)

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Random Sets In Econometrics Molchanov Ilya S Molinari Francesca instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 1.21 MB
Pages: 178
Author: Molchanov, Ilya S.; Molinari, Francesca
ISBN: 9781107121201, 9781107548732, 9781316392973, 1107121205, 110754873X, 131639297X
Language: English
Year: 2018

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Random Sets In Econometrics Molchanov Ilya S Molinari Francesca by Molchanov, Ilya S.; Molinari, Francesca 9781107121201, 9781107548732, 9781316392973, 1107121205, 110754873X, 131639297X instant download after payment.

Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not its exact value. Random set theory provides a coherent mathematical framework to conduct identification analysis and statistical inference in this setting and has become a fundamental tool in econometrics and finance. This is the first book dedicated to the use of the theory in econometrics, written to be accessible for readers without a background in pure mathematics. Molchanov and Molinari define the basics of the theory and illustrate the mathematical concepts by their application in the analysis of econometric models. The book includes sets of exercises to accompany each chapter as well as examples to help readers apply the theory effectively 
Abstract: Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not its exact value. Random set theory provides a coherent mathematical framework to conduct identification analysis and statistical inference in this setting and has become a fundamental tool in econometrics and finance. This is the first book dedicated to the use of the theory in econometrics, written to be accessible for readers without a background in pure mathematics. Molchanov and Molinari define the basics of the theory and illustrate the mathematical concepts by their application in the analysis of econometric models. The book includes sets of exercises to accompany each chapter as well as examples to help readers apply the theory effectively

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