Causal analysis: impact evaluation and causal machine learning with applications in R (Record no. 2066)

000 -LEADER
fixed length control field 02376cam a22003498i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230929091456.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221028s2023 mau b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262545914
Qualifying information (paperback)
Canceled/invalid ISBN 9780262374927
Qualifying information (epub)
Canceled/invalid ISBN 9780262374910
Qualifying information (pdf)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Huber, Martin,
9 (RLIN) 7256
245 10 - TITLE STATEMENT
Title Causal analysis: impact evaluation and causal machine learning with applications in R
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2306
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge, Massachusetts
Name of producer, publisher, distributor, manufacturer The MIT Press,
Date of production, publication, distribution, manufacture, or copyright notice [2023]
300 ## - PHYSICAL DESCRIPTION
Extent pages cm
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.<br/><br/>Reasoning about cause and effect—the consequence of doing one thing versus another—is an integral part of our lives as human beings. In an increasingly digital and data-driven economy, the importance of sophisticated causal analysis only deepens. Presenting the most important quantitative methods for evaluating causal effects, this textbook provides graduate students and researchers with a clear and comprehensive introduction to the causal analysis of empirical data. Martin Huber's accessible approach highlights the intuition and motivation behind various methods while also providing formal discussions of key concepts using statistical notation. Causal Analysis covers several methodological developments not covered in other texts, including new trends in machine learning, the evaluation of interaction or interference effects, and recent research designs such as bunching or kink designs.
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Research.
9 (RLIN) 7257
Topical term or geographic name entry element Causation.
9 (RLIN) 6991
Topical term or geographic name entry element Inference.
9 (RLIN) 6992
Topical term or geographic name entry element Econometrics.
9 (RLIN) 7258
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Online version:
Main entry heading Huber, Martin, 1980-
Title Causal analysis
Place, publisher, and date of publication Cambridge, Massachusetts : The MIT Press, [2023]
International Standard Book Number 9780262374927
Record control number (DLC) 2022033286
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Details (publisher)
Uniform Resource Identifier <a href="https://mitpress.mit.edu/9780262545914/causal-analysis/">https://mitpress.mit.edu/9780262545914/causal-analysis/</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
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b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Monography
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Total Checkouts Full call number Barcode Date due Date last seen Date last checked out Price effective from Koha item type
          Library Library 2023-09-29 1 C04-2023-01 00139298 2023-09-29 2023-09-29 2023-09-29 2023-09-29 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

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