000009355 001__ 9355
000009355 005__ 20180122193512.0
000009355 037__ $$a381-2016-22268
000009355 041__ $$aen
000009355 245__ $$aNew Developments in Panel Data Estimation: Full-Factorial Panel Data Model
000009355 260__ $$c2007
000009355 269__ $$a2007
000009355 300__ $$a13
000009355 336__ $$aConference Paper/ Presentation
000009355 446__ $$aEnglish
000009355 490__ $$aSelected Paper 171417
000009355 520__ $$aPanel data has been widely used in many social science studies.  Pooling data across cross-sections and time-series improves quality of data analysis; however, the model is limited in its ability to actually accurately predict variables of interest due to severe practical data limitations and the ability of properly capturing varying market structures.  In this article, a simple and innovative model of product share is introduced.  The Full-Factorial Panel Data Model is based on the simple premises of re-conceptualization of any zero-sum group as a series of two-entity markets.  This model solves the challenges associated with pooling data across disparate cross-sections and time-periods as well as the changing competitive market structure issues and therefore results in reliable variable of interest estimates.
000009355 650__ $$aResearch Methods/ Statistical Methods
000009355 700__ $$aHowie, Patrick J.
000009355 700__ $$aKleczyk, Ewa J.
000009355 8564_ $$s163263$$uhttp://ageconsearch.umn.edu/record/9355/files/sp07ho01.pdf
000009355 887__ $$ahttp://purl.umn.edu/9355
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  Previous issue date: 2007
000009355 982__ $$gAmerican Agricultural Economics Association>2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon
000009355 980__ $$a381