Showing 1 - 10 of 17
Using a normalized CES function with factor-augmenting technical progress, we estimate a supply-side system of the US economy from 1953 to 1998. Avoiding potential estimation biases that have occurred in earlier studies and putting a high emphasis on the consistency of the data set, required by...
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In an overlapping generations maximization framework with consumers, whose information on uncertain future income realizations is front-loaded, a closed form aggregate consumption function with CRRA preferences is derived. To have a closed form solution we assume that consumers solve their...
Persistent link: https://www.econbiz.de/10003484116
This paper re-examines the validity of the Phillips-Curve framework using US data. We make three main innovations. First, we introduce into the well-known Calvo price staggering framework, a regime-dependent price-changing signal. This means that a state-dependent linearization is no longer...
Persistent link: https://www.econbiz.de/10003486501
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...
Persistent link: https://www.econbiz.de/10003972670
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We implement a tractable state-dependent Calvo price-setting signal dependent on inflation and aggregate competitiveness. This allows us to derive a New Keynesian Phillips Curve (NKPC) expressed in terms of the actual levels of variables - rather than in-deviation from steady stateʺ form - and...
Persistent link: https://www.econbiz.de/10003516714
Capital-labor substitution and TFP estimates are essential features of many economic models. Such models typically embody a balanced growth path. This often leads researchers to estimate models imposing stringent prior choices on technical change. We demonstrate that estimation of the...
Persistent link: https://www.econbiz.de/10009532064
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