The paper develops a non-parametric, non-stationary framework for business-cycle dating based on an innovative statistical methodology known as Adaptive Weights Smoothing (AWS). The methodology is used both for the study of the individual macroeconomic time series relevant to the dating of the...

Typically, firms change their size through a row of discrete leaps over time. A very basic model allowing for discontinuous growth can be based on a couple of assumptions: (a) in the short run, the firm’s equipment and organization provide the maximum profit only for a given production level,...

The application of fully distributed watershed models has the advantage of providing location-specific outputs. However, the calibration of these models is very challenging due to over-parameterization. A typical strategy is to aggregate parameters and screen out insensitive parameters in order...

Typically, firms change their size through a row of discrete leaps over time. A very basic model allowing for discontinuous growth can be based on a couple of assumptions: (a) in the short run, the firm’s equipment and organization provide the maximum profit only for a given production level,...

Business cycles, the ups and downs observed somewhat simultaneously in numerous macroeconomic variables in an economy and often measured using real GDP, are important and, despite much economic research, still incompletely understood. A method for ex-post dating of the business cycle in the Euro...

Firm’s size tipically changes through discrete leaps over time.The model of firm’s growth discussed here entails some nonstandard consequences. Firstly, profitability is not a continuous function of size, but exhibits a number of peaks. Secondly, investment increases in those firms where...