Analysis of Panel Data, 3rd edn C. Hsiao, 2014 Cambridge, Cambridge University Press 562 pp., $49.99 ISBN 978-1-107-03860-1 (hardbound), 978-1-107-65763-2 paperbound
By A. Chaturvedi. 2016
169 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/b6c4fa0bfcaefa3bf8d746b706909b914c281398
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- D. Sulla‐Menashe
- Cheng Hsiao
- Curtis E. Woodcock
- Mark A. Friedl
- Yongmiao Hong
- Haiqiang Chen
- Xiaoling Ke
- Liangjun Su
In Management Science and Operations Research
- D. Sulla‐Menashe
- Cheng Hsiao
- Curtis E. Woodcock
- Mark A. Friedl
- Yongmiao Hong
- Haiqiang Chen
- Xiaoling Ke
- James R. Kroes
In Sociology and Political Science
- D. Sulla‐Menashe
- Cheng Hsiao
- Curtis E. Woodcock
- Mark A. Friedl
- Yongmiao Hong
- Haiqiang Chen
- Xiaoling Ke
Citations in the corpus
- Canadian boreal forest greening and browning trends: an analysis of biogeographic patterns and the relative roles of disturbance versus climate drivers (2017, methodology): “We used a panel regression-based framework because this method is well-suited for longitudinal (in this case gridded) time series that have a large number of points with relatively short time series (Hsiao 2014), and because the 500 m grid allows the Landsat data to be easily nested within (and comp”
- Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach (2017, methodology): “Employing a panel data program evaluation method devised by Hsiao, Chin and Wan (2012), we construct hypothetical counterfactuals for per capita real GDP of HSR cities in the absence of their respective HSR projects using the outcomes in selected non-HSR cities.”