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Identification of the covariance structure of earnings using the GMM estimator

Title: Identification of the covariance structure of earnings using the GMM estimator
Authors: Aedín Doris; Olive Sweetman; Jel Codes J
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://eprints.nuim.ie/1932/1/N208-10.pdf.
Publication Year: 2013
Collection: CiteSeerX
Description: In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings. Using analytical and Monte Carlo techniques we examine the sensitivity of parameter identification to key features such as panel length, sample size, the degree of persistence of earnings shocks and the evolution of inequality over time. We show that the interaction of transitory persistence with the time pattern of inequality determines identification in these models and offer some practical recommendations that follow from our findings.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.8478
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.8478; http://eprints.nuim.ie/1932/1/N208-10.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.DD1E06B5
Database: BASE