• Media type: Report; E-Book
  • Title: Tests for Normality in Linear Panel Data Models
  • Contributor: Alejo, Javier [Author]; Galvao, Antonio [Author]; Montes-Rojas, Gabriel [Author]; Sosa-Escudero, Walter [Author]
  • imprint: La Plata: Universidad Nacional de La Plata, Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS), 2015
  • Language: English
  • Keywords: J24 ; O15 ; panel data ; normality ; xtsktest ; st0001 ; skewness ; kurtosis ; J68 ; J08
  • Origination:
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  • Description: A new Stata command, xtsktest, is proposed to explore non-normalities in linear panel data models. The tests explore skewness and excess kurtosis allowing researchers to identify departures away from gaussianity in both error components of a standard panel regression, sepa- rately or jointly. The tests are based on recent results by Galvao, Montes- Rojas, Sosa-Escudero and Wang (2013), and can be seen as extending the classical Bera-Jarque normality test for the case of panel data.
  • Access State: Open Access