プライム無料体験をお試しいただけます
プライム無料体験で、この注文から無料配送特典をご利用いただけます。
非会員 | プライム会員 | |
---|---|---|
通常配送 | ¥410 - ¥450* | 無料 |
お急ぎ便 | ¥510 - ¥550 | |
お届け日時指定便 | ¥510 - ¥650 |
*Amazon.co.jp発送商品の注文額 ¥2,000以上は非会員も無料
無料体験はいつでもキャンセルできます。30日のプライム無料体験をぜひお試しください。
新品:
¥16,646¥16,646 税込
ポイント: 166pt
(1%)
無料配送
発送元: Amazon.co.jp 販売者: Amazon.co.jp
新品:
¥16,646¥16,646 税込
ポイント: 166pt
(1%)
無料配送
発送元: Amazon.co.jp
販売者: Amazon.co.jp
中古品: ¥3,790
中古品:
¥3,790

無料のKindleアプリをダウンロードして、スマートフォン、タブレット、またはコンピューターで今すぐKindle本を読むことができます。Kindleデバイスは必要ありません。
ウェブ版Kindleなら、お使いのブラウザですぐにお読みいただけます。
携帯電話のカメラを使用する - 以下のコードをスキャンし、Kindleアプリをダウンロードしてください。
Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel ハードカバー – 2006/3/16
英語版
Humberto Barreto
(著),
Frank Howland
(著)
{"desktop_buybox_group_1":[{"displayPrice":"¥16,646","priceAmount":16646.00,"currencySymbol":"¥","integerValue":"16,646","decimalSeparator":null,"fractionalValue":null,"symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"Uw6EmlGWyiwS8RCMDncPKwj%2BxzQ5EwD4je3UeDoIzGmymrFOFkYPN7UuGSeTJirjNfcFFDceanI2UJIWtsJk55%2BpdfP5jr0VB%2BACSiXb30KPg0fnfhwtBxfpcilK0bL1","locale":"ja-JP","buyingOptionType":"NEW","aapiBuyingOptionIndex":0}, {"displayPrice":"¥3,790","priceAmount":3790.00,"currencySymbol":"¥","integerValue":"3,790","decimalSeparator":null,"fractionalValue":null,"symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"Uw6EmlGWyiwS8RCMDncPKwj%2BxzQ5EwD4BvbckgWb549dpmCj7KcR%2BFO%2BbUEQQUWfTuQU3o29r3C9sxH%2FJBjX6Rv8et5R7H43RJz41AcJ2VFI8IeBOs3qX32m4jpx2mQAfs14AShwwpAGad70cNxsX8sow%2BJm2Co1AnvP1Hh1wfS1Kd8SmeJzbQ%3D%3D","locale":"ja-JP","buyingOptionType":"USED","aapiBuyingOptionIndex":1}]}
購入オプションとあわせ買い
This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.
- 本の長さ800ページ
- 言語英語
- 出版社Cambridge University Press
- 発売日2006/3/16
- 寸法18.54 x 5.08 x 25.91 cm
- ISBN-100521843197
- ISBN-13978-0521843195
商品の説明
レビュー
'Hats off to Barreto and Howland for a clearly-written text that introduces the undergraduate to data analysis and econometric techniques using Excel. The book's strength is in using Monte Carlo simulation to illustrate sampling theory and the Gauss Markov theorem. I am in total agreement with the authors that computer-based exercises help to make abstract concepts operations and meaningful. Most juniors and seniors are familiar with the basic features of Excel spreadsheets. Showing them how to use SOLVER, the DATA ANALYSIS TOOLS, and to run Monte Carlo simulations, allows an instructor to take a familiar tool (Excel) and use it to introduce undergraduates to econometrics in an intuitive and non-threatening way.' Jon M. Conrad, Cornell University
'Barreto and Howland have taken a truly innovative approach to teach undergraduate econometrics, using computer simulation methods to illustrate and clarify difficult topics. Fully integrated with Microsoft Excel, this textbook forces students to take a hands-on approach to the subject. There is no better way to learn econometrics than by doing econometrics!' Jason Abrevaya, Purdue University
'Barreto and Howland have done an excellent job of producing an introductory econometric textbook based on Excel software combined with a well written and applied intuitive approach to econometrics. In my opinion, their teaching philosophy is absolutely the correct method: Put the student in front of a computer and teach econometrics by doing econometrics.' Daniel V. Gordon, University of Calgary
'The authors wrote a textbook on introductory econometrics which is different from most textbooks by using Monte Carlo simulation with Microsoft Excel. The book is written for undergraduate students in econometrics who should not be explicitly confronted with formal mathematics but instead with visual explanations of abstract ideas.' Zentralblatt MATH
'Barreto and Howland have taken a truly innovative approach to teach undergraduate econometrics, using computer simulation methods to illustrate and clarify difficult topics. Fully integrated with Microsoft Excel, this textbook forces students to take a hands-on approach to the subject. There is no better way to learn econometrics than by doing econometrics!' Jason Abrevaya, Purdue University
'Barreto and Howland have done an excellent job of producing an introductory econometric textbook based on Excel software combined with a well written and applied intuitive approach to econometrics. In my opinion, their teaching philosophy is absolutely the correct method: Put the student in front of a computer and teach econometrics by doing econometrics.' Daniel V. Gordon, University of Calgary
'The authors wrote a textbook on introductory econometrics which is different from most textbooks by using Monte Carlo simulation with Microsoft Excel. The book is written for undergraduate students in econometrics who should not be explicitly confronted with formal mathematics but instead with visual explanations of abstract ideas.' Zentralblatt MATH
著者について
Humberto Barreto is DeVore Professor of Economics at Wabash College, Indiana. He received his Ph.D. from the University of North Carolina at Chapel Hill. Professor Barreto has lectured often on teaching economics with computer-based methods, including the National Science Foundation's Chautuqua program for short courses using simulation. He has received the Indiana Sears Roebuck Teaching Award and the Wabash College McLain-McTurnan Arnold Award for Teaching Excellence. The author of The Entrepreneur in Microeconomic Theory, Professor Barreto has served as a Fulbright Scholar in the Dominican Republic. He is the manager of electronic information for the History of Economics Society and the director of the opportunities to Learn about Business program at Wabash College.
Frank M. Howland is Associate Professor of Economics at Wabash College. He earned his PhD in Economics from Stanford University. Professor Howland was a visiting researcher at FEDEA on Madrid in 1995–6. His academic research focuses on college savings plans.
Frank M. Howland is Associate Professor of Economics at Wabash College. He earned his PhD in Economics from Stanford University. Professor Howland was a visiting researcher at FEDEA on Madrid in 1995–6. His academic research focuses on college savings plans.
登録情報
- 出版社 : Cambridge University Press (2006/3/16)
- 発売日 : 2006/3/16
- 言語 : 英語
- ハードカバー : 800ページ
- ISBN-10 : 0521843197
- ISBN-13 : 978-0521843195
- 寸法 : 18.54 x 5.08 x 25.91 cm
- Amazon 売れ筋ランキング: - 90,087位洋書 (洋書の売れ筋ランキングを見る)
- - 94位Econometrics
- - 225位Accounting & Finance Economics
- - 6,869位Nonfiction Economics (洋書)
- カスタマーレビュー:
著者について
著者をフォローして、新作のアップデートや改善されたおすすめを入手してください。
著者の本をもっと発見したり、よく似た著者を見つけたり、著者のブログを読んだりしましょう
著者の本をもっと発見したり、よく似た著者を見つけたり、著者のブログを読んだりしましょう
他の国からのトップレビュー

CHRISTIAN RAYLE DELA PENA
5つ星のうち5.0
A step by step guide to Excel powered econometrics and analysis
2016年6月29日にアメリカ合衆国でレビュー済みAmazonで購入
This is a very thorough book on how a non-statistician can perform econometrics. The way the book was written, surely you can maximize the capabilities of Excel and deeply understand the logic behind statistical analyses.

Andy Bill
5つ星のうち5.0
A well rounded introduction to the applied uses of econometrics
2016年6月24日に英国でレビュー済みAmazonで購入
I bought this book on a recommendation from a colleague while working on some property investment models, It is a refreshing change to read a book that takes such an applied approach to the subject matter. If you are someone like me who focuses on application rather than theory and likes to learn by doing, this book is the one for you.

Dawn
5つ星のうち3.0
This book gives a decent back ground of the theory but is really good for all the sample problems you can work and ...
2015年10月24日にアメリカ合衆国でレビュー済みAmazonで購入
This book is alright if you looking at using excel for any predictive modeling using the Monte Carlo Method. As the title suggests it is geared toward business and economic simulations, but the sample principles apply to building simulations for engineering, design, or mathematical applications. Excel seems to be a universal arena people want to use for this purpose, This book gives a decent back ground of the theory but is really good for all the sample problems you can work and the answers to selected problems are in the back of the book. I have added it to my reference shelf at work.

Grouchy Smurf
5つ星のうち4.0
Excellent for beginners
2011年6月16日にアメリカ合衆国でレビュー済みAmazonで購入
As an academic with little background in economics who constantly struggled with advanced techniques, over the years I have tried several econometrics textbooks. Every book has its strengths, but of all books I have been exposed to, I thought this one had the clearest exposition. Concepts are explained well, and the Monte Carlo approach helps tremendously in grasping the underpinning concepts. Things I liked about this book in general:
* It clearly distinguishes between descriptive and inferential statistics - between describing and summarizing data, and drawing inferences from that data.
* Use of Excel sheets to try things out and "see" many things for yourself (for example, see how the least squares achieves best fit to the data).
* It uses real data on economic indicators, such as data on labor markets.
* It minimizes use of matrix algebra or calculus. Mathematical proofs etc. are pushed into appendices at the end of chapters, which can be skipped without loss of continuity.
Things I did not like:
* You have to wait until Chapter 10 in order to get to statistical inference. The first 200 pages is all about summarizing and interpreting patterns in data.
* The book requires you to constantly switch between Excel sheets and the book itself. As a result, every chapter takes longer to finish. Sometimes you have to work on more than one worksheet within a chapter, which adds to this difficulty.
* Excel is not a statistics program and can be cumbersome. Moreover, if the student is to take more advanced courses, Excel will not be enough for him/her.
I think overall the pros far outweigh the cons. I would suggest this book to students who want to grasp the basics well before moving on to more advanced courses; to graduate students outside economics who want to get a good understanding of ordinary least squares (OLS) regression and its assumptions, and to practitioners who want to have a working knowledge of OLS and its limitations. The book would be too introductory for graduate economics students in my opinion. But if you are lost in your `standard' econometrics textbook as an undergraduate, this book may save you. Finally, as with any other textbook, I would pair this book with "A Guide to Econometrics" by Kennedy, which is an excellent supplement.
* It clearly distinguishes between descriptive and inferential statistics - between describing and summarizing data, and drawing inferences from that data.
* Use of Excel sheets to try things out and "see" many things for yourself (for example, see how the least squares achieves best fit to the data).
* It uses real data on economic indicators, such as data on labor markets.
* It minimizes use of matrix algebra or calculus. Mathematical proofs etc. are pushed into appendices at the end of chapters, which can be skipped without loss of continuity.
Things I did not like:
* You have to wait until Chapter 10 in order to get to statistical inference. The first 200 pages is all about summarizing and interpreting patterns in data.
* The book requires you to constantly switch between Excel sheets and the book itself. As a result, every chapter takes longer to finish. Sometimes you have to work on more than one worksheet within a chapter, which adds to this difficulty.
* Excel is not a statistics program and can be cumbersome. Moreover, if the student is to take more advanced courses, Excel will not be enough for him/her.
I think overall the pros far outweigh the cons. I would suggest this book to students who want to grasp the basics well before moving on to more advanced courses; to graduate students outside economics who want to get a good understanding of ordinary least squares (OLS) regression and its assumptions, and to practitioners who want to have a working knowledge of OLS and its limitations. The book would be too introductory for graduate economics students in my opinion. But if you are lost in your `standard' econometrics textbook as an undergraduate, this book may save you. Finally, as with any other textbook, I would pair this book with "A Guide to Econometrics" by Kennedy, which is an excellent supplement.