000 | 02746aam a2200253 4500 | ||
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008 | 210722b2021 ||||| |||| 00| 0 eng d | ||
020 | _a9780367255381 | ||
082 |
_a338.5015195 _bA2L3 |
||
100 |
_aAdams, Christopher P. _9410420 |
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245 | _aLearning microeconometrics with R | ||
260 |
_bCRC Press _c2021 _aBoca Raton |
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300 |
_axxx, 368 p. _bIncludes index and bibliographic references |
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440 |
_aChapman & Hall/CRC the R series _9410427 |
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504 | _aTable of contents Introduction Part Part I Experiments Chapter 1| Ordinary Least Squares Chapter 2| Multiple Regression Chapter 3| Instrumental Variables Chapter 4| Bounds Estimation Part Part II| Structural Estimation Chapter 5| Estimating Demand Chapter 6| Estimating Selection Models Chapter 7| Demand Estimation with IV Chapter 8| Estimating Games Chapter 9| Estimating Auction Models Part Part III| Repeated Measurement Chapter 10| Panel Data Chapter 11| Synthetic Controls Chapter 12| Mixture Models | ||
520 | _aThis book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It is aimed at the general reader with the equivalent of a bachelorâ€™s degree in economics, statistics or some more technical field. It covers the standard tools of microeconometrics, OLS, instrumental variables, Heckman selection and difference in difference. In addition, it introduces bounds, factor models, mixture models and empirical Bayesian analysis. Key Features: Focuses on the assumptions underlying the algorithms rather than their statistical properties. Presents cutting-edge analysis of factor models and finite mixture models. Uses a hands-on approach to examine the assumptions made by the models and when the models fail to estimate accurately. Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems. Introduces R programming concepts throughout the book. Includes appendices that discuss some of the standard statistical concepts and R programming used in the book https://www.taylorfrancis.com/books/mono/10.1201/9780429288333/learning-microeconometrics-christopher-adams | ||
650 |
_aEconometrics _9291 |
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650 |
_aStatistics - Computer programs _9177511 |
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650 |
_aR - Computer program language _955638 |
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700 |
_aChambers, John M. _eSeries Editor _9342777 |
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700 |
_aHothorn, Torsten _eSeries Editor _9410428 |
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700 |
_aLang, Duncan Temple _eSeries Editor _9323044 |
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700 |
_aWickham, Hadley _eSeries Editor _9410429 |
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942 |
_2ddc _cBK |
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999 |
_c218090 _d218090 |