rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Panel data analysis
  name:
    name part: Longhi, Simonetta.
    role:
      role term: creator
  name:
    name part: Atkinson, Paul
    name part: 1947-
    role:
      role term: editor.
  name:
    name part: Delamont, Sara
    name part: 1947-
    role:
      role term: editor.
  name:
    name part: Cernat, Alexandru
    role:
      role term: editor.
  name:
    name part: Sakshaug, Joseph W.
    role:
      role term: editor.
  name:
    name part: Williams, Richard A.
    name part: active 2020
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: enk
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Panel data are a particular type of longitudinal data. Longitudinal data consist of repeated observations over time for the same unit of analysis. This entry discusses practicalities of analysing longitudinal data, particularly individual and household panel data. After a brief discussion of the most important features of panel data and their advantages, this entry discusses issues such as missing data and representativeness of the sample over time. This is followed by a brief overview of the file structure of the most commonly used individual and household panels and the main steps necessary for data preparation.The most commonly used panel data estimators for the case of continuous dependent variables are then briefly discussed, as well as how to model individual unobserved heterogeneity and how to select the most appropriate estimator. This is followed by an introduction to estimators for limited dependent variables. Finally, the entry discusses missing data, survey weights, and issues arising when analysing macro instead of individual panels.The focus is on the intuition behind the different concepts and techniques.
  target audience: specialized
  note: by Simonetta Longhi ; edited by Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug & Richard A. Williams.
  note: Includes bibliographical references and index.
  subject:
    topic: Economics
  subject:
    topic: Sociology
  subject:
    topic: Public Policy and Social Policy
  subject:
    topic: Économie politique
  subject:
    topic: Sociologie
  subject:
    topic: economics
  subject:
    topic: sociology
  subject:
    topic: Economics
  subject:
    topic: Sociology
  classification: HB171
  related item:
    title info:
      title: Longitudinal data analysis
  identifier: 9781529747294
  identifier: 1529747295
  identifier: 9781526421036
  identifier: 1526421038
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 201001
    record change date: 20240923170438.4
    record identifier: in00005495927
    language of cataloging:
      language term: eng