Distinguishing pure supply effects from other determinants of price and quantity in the market for loans is a notoriously difficult problem. Using German data, we employ Bayesian vector autoregressive models with sign restrictions on the impulse response functions in order to enquire the role of loan supply and monetary policy shocks for the dynamics of loans to non-financial corporations. For ...

A Meta Classifier in this approach is used for the approval of Loan application, as a Data mining classification tool to support Business operations in a very secure way. The goal of designing a Meta classifier system is to achieve the best possible classification performance for the task of effective decision making. This Meta classifier is the combination of Naïve Bayesian classifier, K-Neare...

The relevant definitions of terms occurring in the statement are as follows. If P = 〈x1, x2, . . . , xp | R1, R2, . . .Rq〉 is a finite presentation, we shall denote by G = G(P) the associated group; here G = F/N , where F is the free group freely generated by the generators x1, . . . , xp and N is the normal closure of the relators. If w is an element of F (which we may identify with a reduced ...

This paper adopts the “Rip Van Winkle” stratagem, of asking what differences would be noticed, in the domain of poverty and distribution, by someone who fell asleep in 1987 (the year I published my paper on poverty in the IMF Staff Papers, and woke up only in 2007 (the year I visited the IMF to work on the present paper). I highlight, somewhat idiosyncratically, ten such differences under three...

To my parents and sisters, for their unflinching love and support In loving memory of my grandparents vi Acknowledgments The PhD journey is finally coming to an end. What a journey it has been! Meandering, unpredictable, chaotic but all the same exhilarating, colorful and memorable. I am thankful for the journey because it not only helped me grow as a scientist but also as a human being. And I ...