This paper evaluates the strengths and weaknesses of dynamic stochastic general equilibrium (DSGE) models from the standpoint of their usefulness in doing monetary policy analysis. The paper isolates features most relevant for monetary policymaking and uses the diagnostic tools of posterior...

We study here the topology of information on the space of probability measures over Polish spaces that was defined in Hellwig (1996). We show that under this topology, a convergent sequence of probability measures satisfying a conditional independence property converges to a measure that also...

While dynamic stochastic general equilibrium (DSGE) models for monetary policy analysis have come a long way, there is considerable difference of opinion over the role these models should play in the policy process. The paper develops three main points about assessing the value of these models....

Purpose: Transaction monitoring system set up by financial institutions is one of the most used ways to track money laundering and terrorist financing activities. While being effective to a large extent, the system generates very high false positives. With evolving patterns of financial...

Purpose: Good quality input data is critical to developing a robust machine learning model for identifying possible money laundering transactions. McKinsey, during one of the conferences of ACAMS, attributed data quality as one of the reasons for struggling artificial intelligence use cases in...

Improving the livelihoods of poor households and transitioning more women back to the labor force is a major challenge in South Asia. Self-employment promoted through women's groups has often been cited as a promising intervention towards this end. However, the evidence on the impact of such...