LEADER 04816nam 22006615 450 001 9910484512003321 005 20220627190212.0 010 $a981-15-2035-6 024 7 $a10.1007/978-981-15-2035-8 035 $a(CKB)4100000010480211 035 $a(DE-He213)978-981-15-2035-8 035 $a(MiAaPQ)EBC6112508 035 $a(PPN)242977839 035 $a(EXLCZ)994100000010480211 100 $a20200203d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantitative Economics with R $eA Data Science Approach /$fby Vikram Dayal 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XV, 326 p. 300 illus., 89 illus. in color.) 311 $a981-15-2034-8 327 $aCh 1 Introduction -- Ch 2 R and RStudio -- Ch 3 Getting data into R -- Ch 4 Wrangling and graphing data -- Ch 5 Functions -- Ch 6 Matrices -- Ch 7 Probability and statistical inference -- Ch 8 Causal inference -- Ch 9 Solow model and basic facts of growth -- Ch 10 Causal inference for growth -- Ch 11 Graphing and simulating basic time series -- Ch 12 Simple examples: forecasting and causal inference -- Ch 13 Generalized additive models -- Ch 14 Tree models. 330 $aThis book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham?s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader?s R skills are gradually honed, with the help of ?your turn? exercises. At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrapis introduced. Causal inference is illuminated using simulation, data graphs, and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples. Lastly, two computationally intensive methods?generalized additive models and random forests (an important and versatile machine learning method)?are introduced intuitively with applications. The book will be of great interest to economists?students, teachers, and researchers alike?who want to learn R. It will help economics students gain an intuitive appreciation of appliedeconomics and enjoy engaging with the material actively, while also equipping them with key data science skills. 606 $aGame theory 606 $aEconomics 606 $aStatistics 606 $aComputer simulation 606 $aSociology?Research 606 $aR (Computer program language) 606 $aGame Theory, Economics, Social and Behav. Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13011 606 $aEconomic Theory/Quantitative Economics/Mathematical Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/W29000 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aResearch Methodology$3https://scigraph.springernature.com/ontologies/product-market-codes/X22190 615 0$aGame theory. 615 0$aEconomics. 615 0$aStatistics. 615 0$aComputer simulation. 615 0$aSociology?Research. 615 0$aR (Computer program language). 615 14$aGame Theory, Economics, Social and Behav. Sciences. 615 24$aEconomic Theory/Quantitative Economics/Mathematical Methods. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aSimulation and Modeling. 615 24$aResearch Methodology. 676 $a330.028563 700 $aDayal$b Vikram$4aut$4http://id.loc.gov/vocabulary/relators/aut$0872311 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484512003321 996 $aQuantitative Economics with R$91947554 997 $aUNINA