Dynamic managerial capabilities: Scale development and validation

Studies on dynamic managerial capabilities still have a rather theoretical nature, and there is great difficulty in finding a valid, reliable instrument to measure this construct. The present study contributes to solving this problem: It aims to develop and validate a scale to measure dynamic managerial capabilities. In this investigation, we develop a scale for three factors related to dynamic managerial capabilities: human capital, managerial cognition (already described in the literature), and relationship networks. The prominent finding in this research is the factor that is referred to here as relationship networks.     

Comments on Jeff R. Crump's ‘The end of public housing as we know it: public housing policy,labor regulation and the US city’

Jeff Crump's discussion of housing policy in the United States is highly polemic but not very analytic or informative. Crump argues that federal housing policy is attempting to move people out of public housing and into the private housing market and the lowwage labor force. However, he fails to support his argument with credible evidence. My comments point out the most egregious of Crump's claims. I start with Crump's most extreme contentions that housing policy is coercing public housing residents into the low‐wage labor force. I then question his dismissive attitude toward the problems confronted by residents of distressed public housing and policies designed to help low‐income families move out of impoverished neighborhoods. I subsequently show how Crump exaggerates the extent to which federal housing policy is clearing central cities of subsidized low‐income housing. I conclude with a few words on the serious issues that a more informed critique of US housing policy could have raised. L'exposé de Jeff Crump sur la politique du logement aux Etats‐Unis relève principalement de la polémique, plus que de l'analyse ou de l'information. Selon lui, la politique fédérale tente de déplacer la population des logements sociaux vers les marchés de l'habitat privé et de la main‐d'?uvre à bas salaires. Toutefois, il n'apporte aucune preuve crédible à son propos. Ma réaction porte sur ses arguments les plus insignes, en commençant par ses allégations extrémistes selon lesquelles la politique du logement contraint les habitants des logements publics à des emplois peu rémunérés. Je remets ensuite en cause son dédain à l'égard des difficultés que rencontrent les résidents des logements sociaux insalubres, sans oublier les politiques prévues pour aider les familles à faibles revenus à quitter les quartiers pauvres. En conséquence, à mon avis, Crump exagère la mesure dans laquelle la politique fédérale élimine des centres‐villes les habitats à loyer modéré subventionnés. En quelques mots, ma conclusion porte sur les questions graves qu'aurait pu soulever un commentateur mieux documenté sur la politique du logement aux Etats‐Unis.     

Statistical Decision Problems and Bayesian Nonparametric Methods

This paper considers parametric statistical decision problems conducted within a Bayesian nonparametric context. Our work was motivated by the realisation that typical parametric model selection procedures are essentially incoherent. We argue that one solution to this problem is to use a flexible enough model in the first place, a model that will not be checked no matter what data arrive. Ideally, one would use a nonparametric model to describe all the uncertainty about the density function generating the data. However, parametric models are the preferred choice for many statisticians, despite the incoherence involved in model checking, incoherence that is quite often ignored for pragmatic reasons. In this paper we show how coherent parametric inference can be carried out via decision theory and Bayesian nonparametrics. None of the ingredients discussed here are new, but our main point only becomes evident when one sees all priors—even parametric ones—as measures on sets of densities as opposed to measures on finite-dimensional parameter spaces.     

Flexible exchange rates as shock absorbers

In this paper we analyze empirically the effect of terms of trade shocks on economic performance under alternative exchange rate regimes. We are particularly interested in investigating whether terms of trade disturbances have a smaller effect on growth in countries with a flexible exchange rate arrangement. We also analyze whether negative and positive terms of trade shocks have asymmetric effects on growth, and whether the magnitude of these asymmetries depends on the exchange rate regime. We find evidence suggesting that terms of trade shocks get amplified in countries that have more rigid exchange rate regimes. We also find evidence of an asymmetric response to terms of trade shocks: the output response is larger for negative than for positive shocks. Finally, we find evidence supporting the view that, after controlling for other factors, countries with more flexible exchange rate regimes grow faster than countries with fixed exchange rates.     

Distinguishing external from internal scale effects: The case of public infrastructure

The recent applied production theory literature focusing on the economic performance of firms has increasingly recognized the importance of scale effects on costs and therefore efficiency. These scale effects may include short run returns due to fixity of privately demanded inputs (i.e., capital, long run internal returns to scale, and external factors affecting costs. Since these different types of scale effects can be thought of as shifts in and movements along cost curves, the different cost effects of such factors can be identified in a framework which explicitly takes them into account in the definition ofscale.In this article we formalize such a framework, and then use it to measure short run, long run (internal) and external scale effects from fixity of private capital, nonconstant returns to scale and public infrastructure. We then use these measures to identify the impacts of these different scale factors on productivity growth. The focus on public infrastructure as an important external scale factor is motivated by the current theoretical and policy interest in this issue; we show how a structural production theory model provides a rich basis for the analysis of the cost effects of infrastructure investment.