000 03360nam a22005175i 4500
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008 170213s2015 ii | s |||| 0|eng d
020 _a9788132223405
_9978-81-322-2340-5
024 7 _a10.1007/978-81-322-2340-5
_2doi
035 _ato000562305
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aHB139-141
072 7 _aKCH
_2bicssc
072 7 _aBUS021000
_2bisacsh
082 0 4 _a330.015195
_223
100 1 _aDayal, Vikram.
_eauthor.
_9455715
245 1 3 _aAn Introduction to R for Quantitative Economics
_helectronic resource
_bGraphing, Simulating and Computing /
_cby Vikram Dayal.
260 _aNew Delhi :
_bSpringer India :
_bImprint: Springer,
_c2015.
300 _aXV, 109 p. 79 illus., 9 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSpringerBriefs in Economics,
_x2191-5504
505 0 _aChapter 1. Introduction -- Chapter 2. R and RStudio -- Chapter 3. Getting data into R -- Chapter 4. Supply and demand -- Chapter 5. Functions -- Chapter 6. The Cobb-Douglas Function -- Chapter 7. Matrices -- Chapter 8. Statistical simulation -- Chapter 9. Anscombe's quartet: graphs can reveal -- Chapter 10. Carbon and forests: graphs and regression -- Chapter 11. Evaluating training -- Chapter 12. The Solow growth model -- Chapter 13. Simulating random walks and shing cycles -- Chapter 14. Basic time series.
520 _aThis 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.
650 0 _acomputers.
_9460101
650 0 _aComputer simulation.
_9304569
650 0 _aStatistics.
_9124796
650 0 _aEconometrics.
_9566276
650 1 4 _aEconomics.
_9135154
650 2 4 _aEconometrics.
_9566276
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
_9304058
650 2 4 _aSimulation and Modeling.
_9304570
650 2 4 _aStatistics and Computing/Statistics Programs.
_9303277
650 2 4 _aComputing Methodologies.
_9303506
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aSpringerBriefs in Economics,
_9445813
856 4 0 _uhttp://dx.doi.org/10.1007/978-81-322-2340-5
912 _aZDB-2-SBE
999 _c417131