Modeling the employment–oil price nexus: A non-linear cointegration analysis for the U.S. market.

Theoretically, fluctuations in oil prices are expected to affect production costs and may force businesses to delay their investment decisions, triggering pressures on employment. Following these theoretical notions, this paper investigates the asymmetric impact of oil prices on employment (measured as total employment, male employment, and female employment), in a nonlinear cointegration structure for the U.S. market. In doing so, this paper adopts the nonlinear autoregressive distributed lags (NARDL) model to shed light on such asymmetric association, as the NARDL model recently emerged as a new direction in examining nonlinear cointegration and asymmetry. The empirical findings document a long-run asymmetric effect in case of total employment and male employment only. Furthermore, the short-run asymmetric effect was detected for all three employment categories. As a final point, the Granger Causality test documents a unidirectional causality running from oil price decrease to both total employment and male employment. [ABSTRACT FROM AUTHOR]