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Austerity was a radical economic experiment – but 15 years on, it has become the new orthodoxy.
The natural rate of interest, also known as r-star, is a key variable for analyzing fiscal and monetary policy. A novel ...
An analysis by Goldman Sachs finds that reducing the independence of central banks like the Federal Reserve can contribute to higher inflation, lower stock prices and a weaker currency.
The disconnect between hard data and soft data is creating challenges for market participants and Federal Reserve officials, ...
Abstract: Sound effects model design commonly uses digital signal processing techniques with full control ability, but it is difficult to achieve realism within a limited number of parameters.
Lastly, expansionary monetary policy may increase the money supply ... from tariffs could be counterbalanced by the stimulative effects of lower taxes, deregulation, and more disciplined federal ...
Global growth is expected to decline and downside risks to intensify as major policy shifts unfold After enduring a prolonged and unprecedented series of shocks, the global economy appeared to have ...
The Social Policy Simulation Database and Model (SPSD/M) is a microsimulation tool specifically designed for analyzing the tax and transfer system in Canada. It is a complex multidisciplinary ...
India’s Monetary Policy Committee (MPC), which consists of three members of Reserve Bank of India (NSE:BOI) (RBI) and three external members, cut the key repo rate by 25 basis points to 6% ...
The Reserve Bank of Zimbabwe (RBZ) has described its tight monetary policy a success, citing a significant shift ... One of the primary concerns surrounding the domestic currency was the destabilising ...
The International Monetary Fund (IMF) on Tuesday cut its growth forecasts for the U.S. and other countries due to uncertainty over trade policy and weaker demand. The IMF's report slashed its ...
Abstract: In this paper, we propose practical model-based policy optimization (PMBPO) to address the time efficiency issue caused by overly frequent model updates in recent probabilistic model-based ...