Impact Evaluation: Treatment Effects and Causal Analysis, Markus Frolich, Stefan Sperlich

Автор: Markus Frolich, Stefan Sperlich
Название: Impact Evaluation: Treatment Effects and Causal Analysis
ISBN: 1107616069 ISBN-13(EAN): 9781107616066
Издательство: Cambridge Academ
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Описание: Encompasses the main concepts and approaches of quantitative impact evaluations, used to consider the effectiveness of programmes, policies, projects or interventions. This textbook for economics graduate courses can also serve as a manual for professionals in research institutes, governments, and international organizations.

Автор: Douglas A Schroeder
Название: Accounting and Causal Effects
ISBN: 1461426510 ISBN-13(EAN): 9781461426516
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Accounting and Causal Effects builds on econometric foundations to address challenging accounting issues. These include linear, discrete choice, and nonparametric regression models, characterized by microeconomic fundamentals and equilibrium reporting choices.

Автор: Van-Nam Huynh; Vladik Kreinovich; Songsak Sriboonc
Название: Causal Inference in Econometrics
ISBN: 3319272837 ISBN-13(EAN): 9783319272832
Издательство: Springer
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Описание: This bookis devoted to the analysis of causal inference which is one of the most difficult tasks in dataanalysis: when two phenomena are observed to be related, it is often difficultto decide whether one of them causally influences the other one, or whetherthese two phenomena have a common cause.

Автор: Lee, Myoung-jae
Название: Micro-Econometrics for Policy, Program and Treatment Effects
ISBN: 0199267693 ISBN-13(EAN): 9780199267699
Издательство: Oxford Academ
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Цена: 7681.00 р.
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Описание: This is one of the first books to provide a textbook exposition of the literature on how to measure accurately the `effects` of a `treatment`, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or income. The book focuses on non-experimental, microeconometric estimation.

Автор: Nina Blondal David A. Raitzer
Название: Impact Evaluation of Transport Interventions: A Review of the Evidence
ISBN: 9292615866 ISBN-13(EAN): 9789292615864
Издательство: Mare Nostrum (Eurospan)
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Цена: 3010.00 р.
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Описание: This publication reviews 91 impact evaluations of transport interventions in developing countries, summarizes findings on outcomes, identifies evidence gaps, and proposes ways forward. Most of the studies reviewed find significant effects on at least one of the outcomes investigated. However, impact evaluation has given relatively little coverage to major areas of investment, such as urban and sustainable transport, transport corridors, and efficiency enhancing measures. New methods and increasing openness of geospatial data provide scope to generate more innovative impact studies in this sector.

Автор: Nuno Crato; Paolo Paruolo
Название: Data-Driven Policy Impact Evaluation
ISBN: 3030087034 ISBN-13(EAN): 9783030087036
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

Автор: Crato
Название: Data-Driven Policy Impact Evaluation
ISBN: 3319784609 ISBN-13(EAN): 9783319784601
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage.

Автор: Nina Blondal David A. Raitzer
Название: Impact Evaluation of Energy Interventions: A Review of the Evidence
ISBN: 9292615882 ISBN-13(EAN): 9789292615888
Издательство: Mare Nostrum (Eurospan)
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Цена: 3010.00 р.
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Описание: This report aims to support impact evaluation in the energy sector by assessing what has been produced against what might be possible. It reviews 85 impact evaluations of energy interventions in developing countries, summarizes findings on outcomes, identifies evidence gaps, and proposes ways forward. It notes that impact evaluation has so far focused on rural electrification and improved cookstoves, while most investments are in power generation and transmission. It highlights where future impact evaluation investments can best contribute new evidence and how such studies could be approached.

Автор: Matthias Dehmer, Salissou Moutari, Frank Emmert-Streib
Название: Mathematical Foundations of Data Science Using R
ISBN: 311056467X ISBN-13(EAN): 9783110564679
Издательство: Walter de Gruyter
Цена: 9288.00 р.
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Описание:

In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable tool for data sciences. Thus it delivers the reader the skills needed to build own tool kits of a modern data scientist.