#dsge

It's Whipney Bitch! - Whip My Hair (Britney Version)

Welcome to the ultimate journey of DSGE with Dynare! If you're looking for an exciting and comprehensive way to dive into the world of Dynamic Stochastic General Equilibrium, this course is for you. Our introductory guide is designed for beginners who want to learn about DSGE no matter their background or experience. We make sure to offer a unique approach with interactive learning tools and exercises that will help you explore the topic in depth. Get ready to take your economics knowledge and expertise to the next level! Join us now and start your dynamic adventure.

Ученые разглядели финансовые риски, не замеченные регуляторами Профессор Оксфордского университета Дойн Фармер (Doyne Farmer) нашел истоки рисков для финансовой системы за зеленым сукном в Лас-Вегасе.

But DSGE models seem to take it as a religious tenet that consumption should be explained by a model of a representative agent maximizing his utility over an infinite lifetime without borrowing constraints. Doing so is called microfounding the model. But economics is a behavioural science.

In standard models, the money demand equation is supposed to summarize all that is relevant for finance; and, indeed, not even that is very relevant — all that matters is that somehow the central bank is able to control the interest rate. But the interest rate for T-bills is not the interest rate confronting households and firms; the spread between the two is a critical endogenous variable. While large firms may turn to capital markets, small and medium-sized enterprises (SMEs) rely on the banking system. Under current arrangements, the links between aggregate credit creation and the levers controlled by the regulatory authorities, including the central bank, are tenuous and variable. Among the most important levers are regulations that have typically not been included within the ambit of macroeconomic analysis.

One particularly important implication of the kind of models for which I am arguing here, in contrast to the standard DSGE models, is that in the presence of bankruptcy costs, excessive diversification (capital market integration) may result in shocks being amplified, rather than dampened and dissipated—as assumed by the Federal Reserve and predicted by the standard models.

Greenwald and Stiglitz show, for instance, how a price shock (resulting from, say, a shock to demand for the product) gets amplified through the firm’s subsequent decisions on how much to produce, how much labour to hire, and how much to invest. The effects are amplified still further if there is credit rationing. Not only is there a well-developed theory of credit rationing (e.g. Stiglitz and Weiss, 1981), Calomiris and Hubbard (1989) among others have shown that these constraints are bindingimportant sectors of the economy, and it appears that they are particularly relevant to those sectors subject to large fluctuations in investment. This played out strongly in the evolution of the 2008 crisis where, by 2010, large firms seemed to be sitting on a couple of trillion dollars of cash, while SMEs remained credit constrained.