This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

The Ramsey model of economic growth is revisited from the perspective of viability theory. The Ramsey model, augmented with minimal consumption and sustainability criteria, becomes a viability problem. The framework allows for a clear picture of optimal viable, optimal nonviable, and viable...

We build an agent-based model to study how _scal multipliers can change over the business cycle. Our approach considers the economy as a complex evolving system. In that, _scal state-dependent multipliers are emergent disequilibrium phenomenon stemming from the interaction among an ecology of...

Given a settled reduction in the present level of tax revenue, and by exploring a very large combinatorial space of tax structures, in this paper we employ a genetic algorithm in order to determine the optimal structure of a personal income tax that allows the maximization of the redistributive...

We propose an agent-based computational model defining the following dimensions of structural change - organisation of production, technology of production, and product on the supply side, and income distribution and consumption patterns on the demand side - at the microeconomic level. We define...

The problem of instrument proliferation and its consequences (overfitting of the endogenous explanatory variables, biased IV and GMM estimators, weakening of the power of the overidentification tests) are well known. This paper introduces a statistical method to reduce the instrument count. The...

Systemic risk and fragility became more important especially after the crisis of 2008. However, the burgeoning literature especially focuses on interbank and bank-firm credit networks. On the other hand, in developing countries, deferred check payments also compose another kind of credit...

Real-time gross settlement (RTGS) systems effect final settlement of payments continuously and on an individual basis. This generates a trade-off between liquidity needs and settlement delay. Against the background of reconstruction discussions, the paper analyses whether more advanced...

Partial Least Squares Regression (PLSR) is a multivariate statistical method for constructing predictive models when the variables are many and highly collinear. Its goal is to predict a set of response variables from a set of predictor variables. This prediction is achieved by extracting a set...

I compare the performance of solution methods in solving a standard real business cycle model with labor market search frictions. Under the conventional calibration, the model is solved by the projection method using the Chebyshev polynomials as its basis, and the perturbation methods up to...