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New Developments in Panel Data Estimation: Full-Factorial Panel Data Model AgEcon
Howie, Patrick J.; Kleczyk, Ewa J..
Panel 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...
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2007 URL: http://purl.umn.edu/9355
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Causal Factors and Costs of Home Plumbing Corrosion: An Investigation of Sample Selection Bias AgEcon
Kleczyk, Ewa J.; Bosch, Darrell J..
High incidences of pinhole leaks, which occur in home plumbing due to pitting corrosion of water pipes, have been observed in parts of the U.S. such as the Maryland suburbs of Washington D.C. This research evaluates factors associated with pinhole leak occurrences and assesses the costs incurred by consumers from corrosion. Statistical analysis of Maryland survey responses suggests that the probability of pinhole leak occurrences is associated with the type of pipes installed and the distance of the dwelling from a water treatment plant. The number of leaks and location of pinhole leaks in the dwelling drive the financial costs of pinhole leak damage. Correcting for sample selection bias influences the estimated coefficients and statistical...
Tipo: Conference Paper or Presentation Palavras-chave: Public Economics.
Ano: 2006 URL: http://purl.umn.edu/21476
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