How Does Probability of Innovation Change with Firm Age?

This paper looks at the probability of introducing innovations by manufacturing firms at different stages of their lives. Once differences related to activity and size are controlled for, we examine how the probability of innovation varies over entry, post-entry ages, and advanced ages of mature firms. We also measure the association between exit from the market and pre-exit innovation. Results show that the probability of innovating widely varies by activity, and that small size per se broadly reduces the probability of innovation, but also that entrant firms tend to present the highest probability of innovation while the oldest firms tend to show lower innovative probabilities. Some sets of firms with intermediate ages also present a high probability of innovation, and exiting firms are clearly associated to lower levels of introducing process innovations.     

Disentangling the effects of process and product innovation on cost and demand

ABSTRACT

We explore in this note different structural models of the impact of process and product innovation on firms' demand and production cost functions. We find that the introduction of process and product innovations affects them differently as could be expected. Both product and process innovation shift forward the demand for the products of the firm. Process innovation reduces production marginal cost, but not always. A possibility, that we cannot prove or reject with the current specification of our models and available data, is that process innovation associated with product innovation raise marginal cost. Interestingly, we also find that advertising significantly augments demand but does not affect production marginal cost. To obtain broader conclusions, richer data will be needed allowing an enlargement of the model, in which process and product innovations could be specified distinctively and well identified.     

Automobile demand,model cycle and age effects

This paper is aimed at exploring the existence of typical patterns of automobile model life and the formal test for age effects in a discrete-choice demand framework estimated with data on the models sold in the Spanish market. Estimates show that the evolution of market shares entails and quantifies age effects resulting from consumer demand. These effects are clearly distinguishable from the impacts generated by changes in attributes and firm pricing. They carry an exogenous factor that is full of implications for firm behaviour over the life of a model: the modification of demand price sensitivities. As a result, for example, equilibrium own-price elasticities are observed to decrease until the fourth year of a model life, and then to increase again.      

Input cost, capacity utilization and substitution in the short run

This article studies the behavior of input cost shares in an environment where labor is costly to adjust, materials can be adjusted at no cost and capital is fixed. A model relating cost shares with relative prices and adjustment costs is proposed, allowing joint estimation of the elasticity of substitution and the adjustment cost function, which is an unknown function of the capacity utilization. Based on a panel of more than 700 manufacturing firms, we find evidence of strong input share variations according to the degree of capacity utilization. The estimated shapes of adjustment costs curves of labor are in agreement with our theoretical model, and we obtain sensible elasticities of substitution estimates. Based on such estimates, we find evidence of a negative (positive) bias in downturns (recoveries) in conventional productivity growth measures.     

Panel‐data Estimates of the Production Function and the Revenue Function: What Difference Does It Make?*

The lack of individual firm information on output prices is a major problem in the econometrics of production. In particular, it may be expected to account for a significant share of the large discrepancies found between the cross‐sectional and time‐series estimates of capital and scale elasticities. However, taking advantage of two panel‐data samples for which we had such information, we find that estimating the revenue function (using a nominal output measure) or the production function proper (using a real output measure) makes very little difference for our results. The biases due to other sources of specification errors are probably more important.     

Entry,exit and productivity growth: Spanish manufacturing during the eighties

This paper analyses the role played by both competitive pressure (increasing imports) and the restructuring of industries through entry and exit in productivity growth of Spanish manufacturing during the eighties, the key period of its accession to the EEC economy. A GMM panel estimation of the determinants of corrected Solow residual for 75 manufacturing during 1979-1990, shows that these forces accounted for 80% of productivity growth, playing an important role the displacement of inefficient firms by competitive entry.JEL Classification: D24, C33We are grateful to S. Bentolila, F. Bourguignon, T. Coelli, J. Dolado, A. de la Fuente, J. García, L. Rodríguez, J. Segura, X. Vives and an anonymous referee for useful comments on previous versions of this paper. All remaining errors are our own.