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Time series analysis for social sciences / Janet M Box-Steffensmeier ... [et al.].

Contributor(s): Box-Steffensmeier, Janet MMaterial type: TextTextLanguage: English Series: Analytical methods for social researchPublication details: New York : Cambridge university press, 2014. Description: xv, 280 p. : ill. ; 23 cmISBN: 9780521871167 (hardback); 9780521691550 (paperback)Subject(s): Time-series analysis | Time-series analysis -- Mathematical modelsDDC classification: 300.151955 LOC classification: HA30.3 | .B69 2014Online resources: WorldCat details
Contents:
TOC 1. Modeling social dynamics -- 2. Univariate time-series models -- 3. Dynamic regression models -- 4. Modeling the dynamics of social systems -- 5. Univariate, nonstationary processes: tests and modeling -- 6. Cointegration and error correction models -- 7. Selections on time series analysis -- 8. Concluding thoughts for the time series analyst.
Summary: Summary: "Time-series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time-series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time-Series Analysis for Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time-series econometrics. Janet M. Read more...
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Text Text EWU Library
Reserve Section
Non-fiction 300.151955 TIM 2014 (Browse shelf(Opens below)) C-1 Not For Loan 27129
Text Text EWU Library
Circulation Section
Non-fiction 300.151955 TIM 2014 (Browse shelf(Opens below)) C-2 Available 27130
Text Text EWU Library
Circulation Section
Non-fiction 300.151955 TIM 2014 (Browse shelf(Opens below)) C-3 Available 27131
Total holds: 0

Includes bibliographical references and index.

TOC 1. Modeling social dynamics --
2. Univariate time-series models --
3. Dynamic regression models --
4. Modeling the dynamics of social systems --
5. Univariate, nonstationary processes: tests and modeling --
6. Cointegration and error correction models --
7. Selections on time series analysis --
8. Concluding thoughts for the time series analyst.

Summary:
"Time-series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time-series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time-Series Analysis for Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time-series econometrics. Janet M. Read more...

Economics

Saifun Momota

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