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標(biāo)題: Titlebook: An Introduction to R for Quantitative Economics; Graphing, Simulating Vikram Dayal Book 2015 The Author(s) 2015 Applied Econometrics.Quanti [打印本頁(yè)]

作者: Jurisdiction    時(shí)間: 2025-3-21 16:31
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作者: Friction    時(shí)間: 2025-3-21 20:17
Vikram DayalIntroduces the free software R, using its cutting edge interface, R Studio, aimed at economists.Starts from simpler topics such as supply and demand and elasticity and goes on to more advanced ones su
作者: 編輯才信任    時(shí)間: 2025-3-22 02:40

作者: 愉快么    時(shí)間: 2025-3-22 04:59
An Introduction to R for Quantitative Economics978-81-322-2340-5Series ISSN 2191-5504 Series E-ISSN 2191-5512
作者: CLOT    時(shí)間: 2025-3-22 11:23
Ri?bildung in Kesselblechen uswere we use parentheses and brackets). We use four types of objects frequently—vectors, matrices, data frames and lists. We often act on the whole or part of an object, so we need to refer to the whole or part of the object precisely.
作者: Cougar    時(shí)間: 2025-3-22 16:54

作者: debacle    時(shí)間: 2025-3-22 17:48

作者: 厭惡    時(shí)間: 2025-3-22 23:13

作者: 過(guò)份艷麗    時(shí)間: 2025-3-23 04:45

作者: 智力高    時(shí)間: 2025-3-23 09:11

作者: EWER    時(shí)間: 2025-3-23 13:18

作者: 細(xì)微差別    時(shí)間: 2025-3-23 14:54

作者: 相符    時(shí)間: 2025-3-23 21:16
Ankerwicklungen und Stromwendung,This book emphasizes three key skills—graphing, computing and simulating. We develop these skills in the context of such models as supply and demand, and the Solow growth model, moving between theory and data.
作者: Epithelium    時(shí)間: 2025-3-24 00:35
Vereinigung der Gro?kesselbesitzer E.V.We see how to get data into R with three examples. We like to convert the data into a csv (comma-separated values) file and then get it into RStudio. We see how we can have a quick look at the data in RStudio. We will work with these three datasets in later chapters.
作者: 迷住    時(shí)間: 2025-3-24 05:09

作者: 柳樹(shù);枯黃    時(shí)間: 2025-3-24 07:09
https://doi.org/10.1007/978-3-642-99933-8We use the mosaic package to view a two input function—the Cobb-Douglas function—from different angles. We see how in the Cobb-Douglas production function output as a function of labour changes as we change the amount of capital or the level of technology. We see how we can graph isoquants.
作者: sulcus    時(shí)間: 2025-3-24 13:03
https://doi.org/10.1007/978-3-642-99933-8We combine matrix algebra computations with those of statistics. We first use R for some simple vector operations relating to variances and covariances. Then, we look at some simple matrix operations. Finally, we use matrix operations in R for regression.
作者: 解凍    時(shí)間: 2025-3-24 15:07
Die Wiederentdeckung der DiasporaWe use R to generate synthetic data from different probability distributions. We then generate data and use simple regression and a t-test on this data. Finally, we simulate logit regression.
作者: 多產(chǎn)魚(yú)    時(shí)間: 2025-3-24 20:22
Die Wiederentdeckung der DiasporaWe look at Anscombe’s, (Am Stat 27(1):17–21, .) data which is one of the datasets that come with the R software. We compute different linear regressions of Anscombe’s four sets of data—they give us the same results. When we look at the scatterplots corresponding to Anscombe’s four sets of data we see that they are very different.
作者: Arteriography    時(shí)間: 2025-3-25 00:42

作者: 抓住他投降    時(shí)間: 2025-3-25 04:52

作者: 善辯    時(shí)間: 2025-3-25 08:56
Die Wiedergeburt des PolitischenWe simulate simple deterministic difference equations with loops. We then simulate white noise and a random walk. Finally, we simulate fish growth and harvest.
作者: certain    時(shí)間: 2025-3-25 15:28

作者: grovel    時(shí)間: 2025-3-25 17:28
Getting Data into R,We see how to get data into R with three examples. We like to convert the data into a csv (comma-separated values) file and then get it into RStudio. We see how we can have a quick look at the data in RStudio. We will work with these three datasets in later chapters.
作者: CULP    時(shí)間: 2025-3-25 23:17

作者: 初學(xué)者    時(shí)間: 2025-3-26 01:12

作者: Sedative    時(shí)間: 2025-3-26 05:56
Matrices,We combine matrix algebra computations with those of statistics. We first use R for some simple vector operations relating to variances and covariances. Then, we look at some simple matrix operations. Finally, we use matrix operations in R for regression.
作者: 沒(méi)花的是打擾    時(shí)間: 2025-3-26 10:16
Statistical Simulation,We use R to generate synthetic data from different probability distributions. We then generate data and use simple regression and a t-test on this data. Finally, we simulate logit regression.
作者: 過(guò)剩    時(shí)間: 2025-3-26 13:00
,Anscombe’s Quartet: Graphs Can Reveal,We look at Anscombe’s, (Am Stat 27(1):17–21, .) data which is one of the datasets that come with the R software. We compute different linear regressions of Anscombe’s four sets of data—they give us the same results. When we look at the scatterplots corresponding to Anscombe’s four sets of data we see that they are very different.
作者: 按等級(jí)    時(shí)間: 2025-3-26 18:40

作者: 慢慢沖刷    時(shí)間: 2025-3-26 22:51
Evaluating Training,We see how matching helps us compare treatment with control groups to evaluate whether a training programme increases earnings. We examine the Lalonde dataset which is included in the MatchIt package in R. We use the MatchIt package to match the treated and control units. We then compare treatment and control groups.
作者: obviate    時(shí)間: 2025-3-27 03:58

作者: AMPLE    時(shí)間: 2025-3-27 07:12

作者: 油氈    時(shí)間: 2025-3-27 10:37

作者: 圣歌    時(shí)間: 2025-3-27 14:02
Wilhelm Sturtzel,Hermann Schmidt-Stiebitze graph them. We see how we can use different functional forms while studying how the average level of carbon dioxide emissions per capita varies with gross national income per capita for different countries.
作者: 牽索    時(shí)間: 2025-3-27 19:00
https://doi.org/10.1007/978-3-663-01804-9ind two different curves. We graph inflation data and examine its stationarity. We use a very simple model to forecast inflation and graph the forecast. Finally, we explore the volatility in the stock market by calculating standard deviations for different time periods.
作者: 仲裁者    時(shí)間: 2025-3-28 01:50

作者: 言行自由    時(shí)間: 2025-3-28 02:14

作者: 出汗    時(shí)間: 2025-3-28 07:13
Book 2015at 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.
作者: elucidate    時(shí)間: 2025-3-28 11:15
R and RStudio,ere we use parentheses and brackets). We use four types of objects frequently—vectors, matrices, data frames and lists. We often act on the whole or part of an object, so we need to refer to the whole or part of the object precisely.
作者: nonplus    時(shí)間: 2025-3-28 15:03

作者: 出沒(méi)    時(shí)間: 2025-3-28 20:40

作者: –DOX    時(shí)間: 2025-3-29 01:55
Basic Time Series,nd find that it has both seasonal and trend components. We look at scatterplots of inflation versus unemployment in the US before and after 1970—and find two different curves. We graph inflation data and examine its stationarity. We use a very simple model to forecast inflation and graph the forecas
作者: 尖酸一點(diǎn)    時(shí)間: 2025-3-29 07:06

作者: 卡死偷電    時(shí)間: 2025-3-29 09:23

作者: 古文字學(xué)    時(shí)間: 2025-3-29 12:44
Ravinder Guptanterpreted and contrasted with the price concept in microeconomic value theory. The concept of general price change (developed in the previous chapter) as a monetary phenomenon of value and the reference point against which to study relative price changes of products is reinforced.
作者: 音樂(lè)戲劇    時(shí)間: 2025-3-29 17:59

作者: MANIA    時(shí)間: 2025-3-29 20:49
,Priorit?tsansprüche in der Frage der Entdeckung der R?ntgenstrahlen, oft unbewu?t unerkl?rliche Wirkungen derselben festgestellt worden waren. Da? keiner der Beobachter aber ein ?R?ntgen“ wurde, lag meist daran, da? die gelegentlich gemachten Beobachtungen in ihrer Bedeutung nicht erkannt und daher untersch?tzt wurden.
作者: 不透明    時(shí)間: 2025-3-30 01:11

作者: faucet    時(shí)間: 2025-3-30 05:03

作者: 褲子    時(shí)間: 2025-3-30 10:04
Social Relations and Chronic Paint- und Marketingverantwortliche in Unternehmen vor die Problematik, für Kunden relevante und für das Unternehmen umsetzbare Alleinstellungsmerkmale zu definieren und sie durch den Einsatz von Marketinginstrumenten erfolgreich zu untersetzen.




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