We study the market-perceived monetary policy rule of the Bank of England (BoE) using financial market data and macroeconomic surprises. Leveraging exogenous variations in inflation and industrial production (IP) surprises around Office for National Statistics releases, we estimate gilt yield...

We propose a class of new robust GMM tests for endogenous structural breaks. The tests are based on supremum and average statistics derived from robust GMM estimators with a bounded influence function. They imply a bounded linearized asymptotic bias of size and power under local model...

Empirically, we show that the proportion of stocks exhibiting conditional heteroscedastic residuals, is high. We suggested to use the market model with GARCH(1,1) residuals in order to describe daily stock returns and derived a test statistics for the null hypothesis of no abnormal returns,...

We study the interaction between monetary policy and labor supply decisions at the household level. We uncover evidence of heterogeneous responses and a strong income effect on labor supply in the left tail of the income distribution, following a monetary policy shock in the US and the UK. That...

Community currency systems are now turning to digital methods to increase the social outreach of member households in remote areas, mitigate detrimental effects in times of crises, and promote community social cohesion. The resilience of digital community currency systems depends on a set of...

The research delves into the determinants of inward FDI to Colombia in the context of economic integration promoted by recent governments. Colombia's trade liberalisation, in addition to seeking to boost its trade flow, has focused on making the country more attractive to foreign direct...

There is considerable literature on matrix-variate gamma distributions, also known as Wishart distributions, which are driven by a shape parameter with values in the (Gindikin) set {i/2, i = 1, . . . , k−1}∪((k−1)/2, É). We provide an extension of this class to the case where the shape...

We propose a method for forecasting individual outcomes and estimating random effects in linear panel data models and value-added models when the panel has a short time dimension. The method is robust, trivial to implement and requires minimal assumptions. The idea is to take a weighted average...

This paper uses the Italian income tax treatment of 2006/7 as a quasi-natural tax experiment to offer some fresh empirical evidence on how labour supply responds to exogenous income tax hikes. We adopt the identification strategy based on TWFE panel data Difference-in-Differences (DID) model to...