Microeconometrics with R (Record no. 10374)
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| 000 -LEADER | |
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| fixed length control field | 03594nam a2200229 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251102155158.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251102b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780367554460 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 338.5015195 |
| Item number | CRO |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Croissant, Yves |
| 245 ## - TITLE STATEMENT | |
| Title | Microeconometrics with R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Boca Raton |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxii, 494 p. |
| 365 ## - TRADE PRICE | |
| Price type code | GBP |
| Price amount | 89.99 |
| 490 ## - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC: The R Series |
| 500 ## - GENERAL NOTE | |
| General note | Table of contents:<br/>Preface<br/>Part 1. The ordinary least square estimator<br/>1. Simple linear regression model<br/>2. Statistical properties of the simple linear estimator<br/>3. Multiple Regression Model<br/>4. Interpretation of the Coefficients<br/>Part 2. Beyond the OLS estimator<br/>5. Maximum likelihood estimator<br/>6. Non-spherical disturbances<br/>7. Endogeneity<br/>8. Treatment Effect<br/>9. Spatial econometrics<br/>Part 3. Special responses<br/>10. Binomial models<br/>11. Censored and truncated models<br/>12. Count data<br/>13. Duration models<br/>14. Discrete choice models<br/>References<br/>Indexes<br/><br/>[https://www.routledge.com/Microeconometrics-with-R/Croissant/p/book/9780367554460] |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book is about doing microeconometrics, defined by Cameron and Trivedi as "the analysis of individual-level data on the economic behavior of individuals or firms using regression methods applied to cross-section and panel data" with R. Microeconometrics became increasingly popular in the last decades, thanks to the availability of many individual data sets and to the development of computer performance.<br/><br/>R appeared in the late nineties as a clone of S. It became increasingly popular among statisticians, especially in fields where S was widely used. Twenty years ago, using R for doing econometrics analysis required a lot of programming because a lot of core methods of econometrics were not available in R. Nowadays, most of the basic methods described in the book are available in contributed packages. Moreover, the set of packages called the tidyverse developed by RStudio (now Posit) for all the basic tasks of an applied statistician (importing, tidying, transforming and visualizing data sets) makes the use of R faster and easier. The book uses extensively specialized econometrics packages and the tidyverse, and it seeks to demonstrate that the adoption of R as the primary software for an econometrician is a relevant choice.<br/><br/>The first part of the book is devoted to the ordinary least squares estimator. Matrix algebra is progressively introduced in this part, and special attention is paid to the interpretation of the estimated coefficients. The second part goes beyond the basic OLS estimator by testing the hypothesis on which this estimator is based and providing more complex estimators relevant when some of these hypotheses are violated. Finally, the third part of the book presents specific estimators devoted to "special" responses, e.g., count, binomial or duration data.<br/><br/>Key Features:<br/><br/><br/>Many applications using data sets of recent academic works are developed<br/><br/>Testing and estimation procedures using the programming framework of R and specialized packages are presented<br/><br/>Two companion packages (micsr and micsr.data), containing respectively functions implementing some estimation and testing procedures not available in other contributed packages and data sets used in the book, are provided<br/><br/>(https://www.routledge.com/Microeconometrics-with-R/Croissant/p/book/9780367554460) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Econometrics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Statistics - Computer programs |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | R - Computer program language |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Public Policy & General Management | COR/IN/26/7060 | 15-10-2025 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 11/02/2025 | CBS Publishers & Distributors Pvt. Ltd. | 6981.79 | 338.5015195 CRO | 009246 | 11/02/2025 | 1 | 10741.21 | 11/02/2025 | Book |