Last edited by Nikolar
Wednesday, April 29, 2020 | History

8 edition of Social choice with partial knowledge of treatment response found in the catalog.

Social choice with partial knowledge of treatment response

  • 374 Want to read
  • 38 Currently reading

Published by Princeton University Press in Princeton, NJ .
Written in English

    Subjects:
  • Social sciences -- Statistical methods,
  • Social choice,
  • Estimation theory

  • Edition Notes

    Includes bibliographical references.

    StatementCharles F. Manski.
    SeriesThe Econometric Institute lectures
    Classifications
    LC ClassificationsHA29 .M2466 2006
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL3425335M
    ISBN 100691121532
    LC Control Number2005048691


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Social choice with partial knowledge of treatment response by Charles F. Manski Download PDF EPUB FB2

A central practical objective of research on treatment response is to provide decision makers with information useful in choosing treatments. Often the decision maker is a social planner who must choose treatments for a heterogeneous population — for example, a physician choosing medical treatments for diverse patients or a judge choosing.

Get this from a library. Social choice with partial knowledge of treatment response. [Charles F Manski] -- "Economists have long sought to learn the effect of a "treatment" on some outcome of interest, just as doctors do with their patients. But research.

Social Choice with Partial Knowledge of Treatment Response (The Econometric and Tinbergen Institutes Lectures) [Manski, Charles F.] on *FREE* shipping on qualifying offers.

Social Choice with Partial Knowledge of Treatment Response (The Econometric and Tinbergen Institutes Lectures)Cited by: T1 - Social Choice with Partial Knowledge of Treatment Response.

T2 - The Economic Institute Lectures. AU - Manski, Charles F. PY - Y1 - M3 - Book. SN - BT - Social Choice with Partial Knowledge of Treatment Response. PB - Princeton University Press. CY - Princeton. ER -Cited by: 3. Studying Treatment Response to Inform Treatment Choice 1 The Planning Problem 3 Practices that Limit the Usefulness of Research on Treatment Response 11 Chapter 2: The Selection Problem 19 Treatment Choice Using the Empirical Evidence Alone 20 Monotone Treatment Response 37 Exclusion Restrictions Social choice with partial knowledge of treatment response.

By Philip Hans Franses, A central practical objective of research on treatment response is to provide decision makers with information useful in choosing treatments.

Often the decision maker is a social planner who must choose treatments for a heterogeneous population--for example. Social Choice with Partial Knowledge of Treatment Response Charles F. Manski. Economists have long sought to learn the effect of a "treatment" on some outcome of interest, just as doctors do with their patients.

A central practical objective of research on treatment response is to provide decision makers with. Social Choice with Partial Knowledge of Treatment Response, Princeton University Press, Identification for Prediction and Decision, Chaps. 11 in process. Articles “Identification problems and d ecisions un der ambiguity: Empiri cal analysis of treatment response and normative analysis of treatment choice,” Journal of.

Manski's work in econometrics includes the development of tools for partial identification, and the development of the maximum score estimator for discrete choice models.

As ofManski's research interests focus primarily on the field of formation of social policy with partial knowledge of treatment mater: Massachusetts Institute of Technology. Professor Manski is currently writing a book on the topic of Personalized Patient Care Under Uncertainty.

He has previously published seven books, including most recently Public Policy in an Uncertain World (), Identification for Prediction and Decision (), Social Choice with Partial Knowledge of Treatment Response (), and Partial. Link to video recording of Cemmap Masterclass on themes of the book in March (six minute lectures) C.

Manski, Identification for Prediction and Decision, Harvard University Press, C. Manski, Social Choice with Partial Knowledge of Treatment Response, Princeton University Press, Social Choice with Partial Knowledge of Treatment Response, Princeton: Princeton University Press, Partial Identification of Probability Distributions, New York: Springer-Verlag, ; Chinese translation, Harbin Institute of Technology Press, Identification Problems in the Social Sciences, Cambridge: Harvard University Press, File Size: KB.

Building on the foundation laid in the author's Identification Problems in the Social Sciences (Harvard, ), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. on treatment response and on choice behavior.

It is an important contribution to our knowledge and will Cited by: Mathematical Economics. Economics. Book Review. The Mathematical Theory of Minority Games: Statistical Mechanics of Interacting Agents. Book Review. Social Choice and the Mathematics of Manipulation. Book Review.

Contemporary Bayesian Econometrics ans Statistics. Book Review. Social Choice with Partial Knowledge of Treatment Response. Book. Economists studying public policy have generally assumed that the relevant planner knows how policy affects population behavior.

Planners typically do not possess all of this knowledge, so there is reason to consider policy formation with partial knowledge of policy impacts. Here I consider choice of a vaccination policy when a planner has partial knowledge Cited by: Combining Assumptions Planning Under Ambiguity Studying Treatment Response to Inform Treatment Choice Partial Identification and Ambiguity Criteria for Choice Under Ambiguity Dominance Bayes Rules The Maximin Criterion The Minimax-Regret Criterion Treatment Using Data from an Experiment with Partial Compliance The Illinois.

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Purchase Handbook of Social Choice and Welfare, Volume 19 - 1st Edition. Print Book & E-Book. ISBNDownloadable. This paper examines the properties of instrumental variables (IV) applied to models with essential heterogeneity, that is, models where responses to interventions are heterogeneous and agents adopt treatments (participate in programs) with at least partial knowledge of their idiosyncratic response.

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