Is the Assumption of Linearity in Factor Models too Strong in Practice?

Nektarios Aslanidis and Luke Hartigan

Working Papers from Universitat Rovira i Virgili, Department of Economics

Abstract: The assumption of linearity of factor models is implicit in all empirical applications used in macroeconomic analysis. We test this assumption in a more general setting than previously considered using a well-studied macroeconomic dataset on the U.S. economy, and find strong evidence in support for regime-switching type non-linearity. Furthermore, we show non-linearity is strongly concentrated in certain groups (such as financial variables). Our results, which are robust to serial dependence, suggest the assumption of linearity underpinning factor models might be too strong and gives further support towards developing models which explicitly account for non-linearity. Keywords: Factor Model Non-linearity, Regime Change, Transition Variables, LM test. JEL Classifications: C12; C18; C24; C33; C38.

Keywords: Hipòtesi estadística -- Proves; Anàlisi de regressió -- Models matemàtics; Anàlisi de dades de panel; Anàlisi multivariable; 33 - Economia (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-pr~
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http://hdl.handle.net/2072/261531

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Working Paper: Is the Assumption of Linearity in Factor Models too Strong in Practice? (2016)
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