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This paper uses the non-linear auto-regressive distributed lags (NARDL) model to examine the short- and long -run effects of the negative and positive shocks of the shadow economy on financial development in Iran over the period 1974 - 2015. For this purpose, the ratio of liquidity to gross domestic product is used as an indicator of financial development. The shadow economy includes all market-based production activities that are deliberately hidden from government officials due to the escape or avoidance of payments, such as taxes and social security contributions. In this study, the MIMIC (multiple indicators and multiple causes) calculations by Piraee and Rajaee (2015) are used for estimating the shadow economy. The results show that the effects of positive and negative shocks of shadow economy on financial development are asymmetric in the short- and long-run. This asymmetry means that in the short- and long-run, the negative shock to shadow economy is more effective than its positive shock. Therefore, in order to maintain the current level of financial development, the government can monitor size of shadow economy through strict control of illegal activities in the short-run, identify the illegal activities, and reduce them in the long run‎.

Keywords: Shadow economy, Asymmetric impact, NARDL

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