We present an algorithm and software routines for computing nth order Taylor series approximate solutions to dynamic, discrete-time rational expectations models around a nonstochastic steady state. The primary advantage of higher-order (as opposed to first- or second-order) approximations is...

Anderson & Moore describe a powerful method for solving linear saddle point models. The algorithm has proved useful in a wide array of applications including analyzing linear perfect foresight models, providing initial solutions and asymptotic constraints for nonlinear models. However, many...

We present an algorithm and software routines for computing nth-order approximate solutions to dynamic, discrete-time rational expectations models around a nonstochastic steady state. We apply these routines to investigate the optimal monetary policy with commitment (and from a ``timeless...

A benefit-cost study of New York State's Centers for Advanced Technology (CAT) program was undertaken to (1) respond to increasing legislative and executive demands for quantitative assessments of these programs; (2) demonstrate the feasibility, within identified limits, of evaluating the...

The book offers a clear-cut methodology to diagnose organizational strengths and weakness at the onset of development activities. With it, beneficiaries can respond to growing pressures from donors for accountable and sustainable use of funding.Abstract: Ofrece una metodología clara para...