This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vikram Dayal is an Associate Professor at the Institute of Economic Growth, Delhi. He is the author of the book titled The Environment in Economics and Development: Pluralist Extensions of Core Economic Models, published in the SpringerBriefs in Economics series in 2014. In 2009 he co-edited the Oxford Handbook of Environmental Economics in India with Professor Kanchan Chopra. He has been incorporating the use of software in teaching quantitative economics--his open access notes on Simulating to understand mathematics for economics with Excel and R are downloadable at http(colon)(double back slash)textbookrevolution(dot)org. His research on a range of environmental and developmental issues from outdoor and indoor air pollution in Goa, India to tigers and Prosopis juliflora in Ranthambhore National Park has been published in a variety of journals. He visited the Workshop in Political Theory and Policy Analysis in Bloomington, Indiana as a SANDEE (South Asian Network for Development and Environmental Economics) Partha Dasgupta Fellow in 2011. He studied economics in India and the USA and did his doctoral degree from the University of Delhi.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
Etat : New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABBB-206307
Quantité disponible : 2 disponible(s)
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur 796b1df506baaed6a5c524e0cbebd66a
Quantité disponible : Plus de 20 disponibles
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
Paperback or Softback. Etat : New. An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing. Book. N° de réf. du vendeur BBS-9788132223399
Quantité disponible : 20 disponible(s)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9788132223399_new
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful. 128 pp. Englisch. N° de réf. du vendeur 9788132223399
Quantité disponible : 2 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. 127. N° de réf. du vendeur 26372171885
Quantité disponible : 4 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand 127. N° de réf. du vendeur 374954930
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND 127. N° de réf. du vendeur 18372171879
Quantité disponible : 4 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 2015 edition. 109 pages. 7.00x5.00x0.25 inches. In Stock. N° de réf. du vendeur x-813222339X
Quantité disponible : 2 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch. N° de réf. du vendeur 9788132223399
Quantité disponible : 1 disponible(s)