Asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan: new evidence from nonlinear ARDL

This study scrutinized the asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan using [Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014) Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in honor of peter schmidt (pp. 281–314). New York, NY: Springer] nonlinear autoregressive distributed lag (NARDL) model. The NARDL bounds test examined the existence of cointegration in study variables, including CO₂ emissions, institutional quality, oil prices, exchange rate, inflation, and tourism demand. The evidence proposes that disregarding the intrinsic nonlinearities may misinform inference. The estimated NARDL model affirmed long-run negative and significant effect of CO₂ emissions on tourism demand, while institutional quality was positively associated with tourism demand. Furthermore, the findings of the study also suggested long-run asymmetric relationship between oil prices, exchange rate, inflation, and tourism demand.