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Pesaran, M. Hashem - 2011

This paper considers the problem of aggregation in the case of large linear dynamic panels, where each micro unit is potentially related to all other micro units, and where micro innovations are allowed to be cross sectionally dependent. Following Pesaran (2003), an optimal aggregate function is...

Persistent link: https://www.econbiz.de/10013129942

An Empirical Growth Model for Major Oil Exporters

Esfahani, Hadi Salehi - 2012

-run output equation with a coefficient equal to the share of capital (α). The long-run theory is tested using quarterly data on … results support the long-run theory. The existence of long-run relations between real output, foreign output and real oil … steadily over the past three decades, the theory suggests that the effect of oil income on the economy's steady state growth …

Persistent link: https://www.econbiz.de/10013107701

Wage Decompositions Using Panel Data Sample Selection Correction

Oaxaca, Ronald L. - 2016

This paper analyzes wage decomposition methodology in the context of panel data sample selection embedded in a correlated random effects setting. Identification issues unique to panel data are examined for their implications for wage decompositions. As an empirical example, we apply our...

Persistent link: https://www.econbiz.de/10012983918

Modelling Volatilities and Conditional Correlations in Futures Markets with a Multivariate T Distribution

Pesaran, Bahram; Pesaran, M. Hashem - 2021

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC...

Persistent link: https://www.econbiz.de/10013316934

Work Experience as a Source of Specification Error in Earnings Models : Implications for Gender Wage Decompositions

Regan, Tracy; Oaxaca, Ronald L. - 2021

We address the bias from using potential vs. actual experience in earnings models. Statistical tests reject the classical errors-in-variable framework. The nature of the measurement error is best viewed as a model misspecification problem. We correct for this by modeling actual experience as a...

Persistent link: https://www.econbiz.de/10013318043