Panel Paper:
The Impacts of India’s Cash Ban: Evidence Using Regression Discontinuity Design
*Names in bold indicate Presenter
In the paper, we use a Regression Discontinuity Design (RDD) approach to demonstrate the impacts of the demonetization measure. The measure has not been deeply analysed in the literature since the Government of India has not provided a report or data pertaining to the step. Other studies have also used only national aggregate time series to demonstrate the effects. Using RDD allows us to use novel data sets to develop conclusions. We use nightlights data from satellites as a proxy for economic activity and employment surveys to measure economic activity including in the informal sector; debit/credit cards and e-wallet transactions data; banking data on deposit and credit growth; and wholesale prices for essential commodities and agricultural produce. We examine the effects on banking, unemployment & economic activity, agriculture & household spending, taxation and terrorism incidents using cash in the economy as the independent variable. The results on the changes in the relationship to cash availability are shown for a cross section of Indian states and how the impact has varied across demographics. The results show that the policy represented a liquidity shock that altered the evolution of the economy and the monetary cone, and changed consumer preferences.
We conclude that unlike in the cashless limit of new-Keynesian models for economies with well-developed financial markets, in modern India cash serves an essential role in facilitating economic activity.