Mobile money services have rapidly expanded across emerging and developing economies and enabled new ways through which households and firms can conduct payments, save and send remittances. We explore how mobile money use can impact economic outcomes in India using granular data on transactions from Paytm, one of the largest mobile money service provider in India with over 400 million users. We exploit the period around the demonetization policy, which prompted a surge in mobile money adoption, and analyze how mobile money affects traditional risk-sharing arrangements. Our main finding is that mobile money use increases the resilience to shocks by dampening the impact of rainfall shocks on nightlights-based economic activity and household consumption. We complement these findings by conducting a firm survey around a phased targeting intervention which incentivized firms to adopt the mobile payment technology. Our results suggest that firms adopting mobile payments improved their sales after six-months of use, compared to other firms. We also elicit firms’ subjective expectations on future sales and find mobile payment adoption to be associated with lower subjective uncertainty and greater sales optimism.
Marco A Espinosa-Vega, Ms. Kazuko Shirono, Mr. Hector Carcel Villanova, Miss Esha Chhabra, Ms. Bidisha Das, and Ms. Yingjie Fan
This departmental paper marks the 10th anniversary of the IMF Financial Access Survey (FAS). It offers a retrospective of the FAS database, along with some reflections as to its future directions.
Since its 2009 launch, the FAS has provided granular data on access to and use of financial services. It is a supply-side database with annual global coverage based on data sourced directly from financial service providers—aimed at supporting policymakers to target and evaluate financial inclusion policies. Its data collection has kept pace with financial innovation, such as the rise of mobile money and growing demand for gender-disaggregated data—and the FAS must continue to evolve.
Mr. Carlos Mulas-Granados, Richard Varghese, Vizhdan Boranova, Alice deChalendar, and Judith Wallenstein
We exploit a survey data set that contains information on how 11,000 workers across advanced and emerging market economies perceive the main forces shaping the future of work. In general, workers feel more positive than negative about automation, especially in emerging markets. We find that negative perceptions about automation are prevalent among workers who are older, poorer, more exposed to job volatility, and from countries with higher levels of robot penetration. Perceptions over automation are positively viewed by workers with higher levels of job satisfaction, higher educational attainment, and from countries with stronger labor protection. Workers with positive perceptions of automation also tend to respond that re-education and retraining will be needed to adapt to rapidly evolving skill demands. These workers expect governments to have a role in shaping the future of work through protection of labor and new forms of social benefits. The demand for protection and benefits is more significant among women and workers that have suffered job volatility.
Benjamin Carton, Mr. Joannes Mongardini, and Yiqun Li
The enormous global demand for smartphones in recent years has created a new global tech cycle. In 2016 alone, global smartphone sales reached close to 1.5 billion, one for every fifth person on earth. In turn, this has engendered complex and evolving supply chains across Asia. We show that the new tech cycle cannot be captured by standard seasonality, but depends on smartphone product release dates. Decomposing cycle from trend, we also show that the sale of smartphones may have peaked in late 2015. Asia, however, continues to gain in importance as the global tech manufacturer.
This paper examines innovation, deregulation, and firm dynamics over the life cycle of the
U.S. ATM and debit card industry. In doing so, we construct a dynamic equilibrium model to
study how a major product innovation (introducing the new debit card function) interacted
with banking deregulation drove the industry shakeout. Calibrating the model to a novel
dataset on ATM network entry, exit, size, and product offerings shows that our theory fits the
quantitative pattern of the industry well. The model also allows us to conduct counterfactual
analyses to evaluate the respective roles that innovation and deregulation played in the