Introduction to Computational Economics Using Fortran

Exercise and Solutions Manual

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Éditeur :

OUP Oxford

Paru le : 2020-01-09

This exercise and solutions manual accompanies the main edition of Introduction to Computational Economics Using Fortran. It enables students of all levels to practice the skills and knowledge needed to conduct economic research using Fortran. Introduction to Computational Economics Using Fortran i...
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Éditeur

Collection
n.c

Parution
2020-01-09

Pages
288 pages

EAN papier
9780192590640

Hans Fehr is Professor of Economics at the University of Wuerzburg. His previous roles have included Assistant Professor at the University of Tuebingen and Postdoctoral Researcher at Boston University. Professor Fehr's main research interests are in the field of quantitative public economics. His past work has focused on analyzing the economic consequences of population aging and various tax policy and social security reforms by means of computable general equilibrium models with overlapping generations. His research has been published in the European Economic Review, the Journal of Economic Dynamics and Control, the Review of Economic Dynamics, and the Scandanavian Journal of Economics. Maurce Hofman is a Doctoral Student at the University of Wuerzburg. Fabian Kindermann is Assistant Professor of Economics at the University of Bonn. He was previously a Postdoctoral Researcher at Northwestern University and an Assistant Professor at the University of Wuerzburg. His research interests are in public economics and macroeconomics, where he uses quantitative macroeconomic models to shed light on the determinants of economi inequality, study the implications of inequality for the optimal design of tax and social security systems, and investigate issues in family economics. His work has been published in the European Economic Review, Review of Economic Dynamics, Journal of Economic Dynamics, and Computational Economics.

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EAN EPUB
9780192590640
Prix
43,84 €
Nombre pages copiables
0
Nombre pages imprimables
0
Taille du fichier
12124 Ko

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