We examine the two-level nested Constant Elasticity of Substitution production function where both capital and labor are disaggregated in two classes. We propose a normalized system estimation method to retrieve estimates of the inter- and intra-class elasticities of substitution and...

Capital-labor substitution and total factor productivity (TFP) estimates are essential features of growth and income distribution models. In the context of a Monte Carlo exercise embodying balanced and near balanced growth, we demonstrate that the estimation of the substitution elasticity can be...

Despite being critical parameters in many economic fields, the received wisdom, in theoretical and empirical literatures, states that joint identification of the elasticity of capital-labor substitution and technical bias is infeasible. This paper challenges that pessimistic interpretation....

The reaction of hours worked to technology shocks represents a key controversy between RBC and New Keynesian explanations of the business cycle. It sparked a large empirical literature with contrasting results. We demonstrate that, with a more general and data coherent supply and production...

We argue that the New-Keynesian Phillips Curve literature has failed to deliver a convincing measure of “fundamental inflation”. We start from a careful modeling of optimal price setting allowing for non-unitary factor substitution, non-neutral technical change and timevarying factor...

Using euro-area data, we re-examine the empirical success of New Keynesian Phillips Curves (NKPCs). The nature of our re-evaluation relies on the actual empirical underpinnings of such estimates: we find existing estimates un-robust and – given that key parameters are generally calibrated...

We develop a framework for analyzing “medium-run” departures from balanced growth, and apply it to the economies of continental Europe. A time-varying factor-augmenting production function (mimicking “directed” technical change) with a below-unitary substitution elasticity coupled with...