000			02746aam a2200253 4500
008			210722b2021 ||||| |||| 00| 0 eng d
020			_a9780367255381
082			_a338.5015195 _bA2L3
100			_aAdams, Christopher P. _9410420
245			_aLearning microeconometrics with R
260			_bCRC Press _c2021 _aBoca Raton
300			_axxx, 368 p. _bIncludes index and bibliographic references
440			_aChapman & Hall/CRC the R series _9410427
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 bachelor’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
650			_aStatistics - Computer programs _9177511
650			_aR - Computer program language _955638
700			_aChambers, John M. _eSeries Editor _9342777
700			_aHothorn, Torsten _eSeries Editor _9410428
700			_aLang, Duncan Temple _eSeries Editor _9323044
700			_aWickham, Hadley _eSeries Editor _9410429
942			_2ddc _cBK
999			_c218090 _d218090