The double‐edged effect of knowledge acquisition: How contracts safeguard pre‐existing resources

Research summary : Acquiring knowledge on a partner's pre‐existing resources plays an important yet ambiguous role in collaborative relationships. We formally model how contracts trade off productive and destructive uses of knowledge in a buyer‐supplier relationship. We show that, when the buyer's pre‐existing resources are vulnerable to the revelation of sensitive knowledge, the supplier overinvests in knowledge acquisition as it expects to use the knowledge as a threat in price negotiations. A non‐renegotiable closed‐price contract prevents such overinvestment and reduces the supplier's ability to expropriate the buyer ex post. Our results extend to the cases of renegotiable closed‐price contracts, repeated interactions between a buyer and a supplier, and the use of nondisclosure policies. We draw theoretical, empirical, and managerial implications from our model. Managerial summary : This study yields new insights regarding the use of contract design in protecting pre‐existing, nonrelationship specific assets in buyer‐supplier arrangements. Anecdotal examples illustrate the “dark side” of these arrangements where opportunistic suppliers exploit knowledge of buyers' pre‐existing resources to seek rent and appropriate value. When a supplier is likely to act harmfully, a closed‐price contract that specifies the price of the supplier's component upfront may reduce the supplier's incentives to overinvest in acquiring and exploiting knowledge of the buyer's pre‐existing resources. As such, when a buyer's pre‐existing resources are highly valuable, and thus more vulnerable to use by the supplier outside of the arrangement, a non‐renegotiable closed‐price contract is more efficient. Additionally, limited disclosure policies and informal agreements based on repeated interactions complement indirect governance via price contracts. Copyright © 2015 John Wiley & Sons, Ltd.     

Constrained Indirect Estimation

We develop generalized indirect estimation procedures that handle equality and inequality constraints on the auxiliary model parameters by extracting information from the relevant multipliers, and compare their asymptotic efficiency to maximum likelihood. We also show that, regardless of the validity of the restrictions, the asymptotic efficiency of such estimators can never decrease by explicitly considering the multipliers associated with additional equality constraints. Furthermore, we discuss the variety of effects on efficiency that can result from imposing constraints on a previously unrestricted model. As an example, we consider a stochastic volatility process estimated through a garch model with Gaussian or  t  distributed errors.     

AN ANNUAL CHAIN INDEX OF ITALY'S "REAL" PRODUCT, 1861–1989

The construction and application of a Paasche annual chain index to the Italian GDP figures between 1861 and 1989 is the subject of this article. Comparison with product at constant prices shows, except for war periods, a revaluation of GDP in favour of the annual chain index of around 0.10 percent. The most striking differences are concentrated into periods of marked changes in relative prices, and the new index modifies the temporal pattern of the growth trend by accentuating, without altering the periodization, cyclical fluctuations.     

Model‐Assisted Estimation of a Spatial Population Mean

This paper deals with the estimation of the mean of a spatial population. Under a design‐based approach to inference, an estimator assisted by a penalized spline regression model is proposed and studied. Proof that the estimator is design‐consistent and has a normal limiting distribution is provided. A simulation study is carried out to investigate the performance of the new estimator and its variance estimator, in terms of relative bias, efficiency, and confidence interval coverage rate. The results show that gains in efficiency over standard estimators in classical sampling theory may be impressive.     

THE ESTIMATION OF HUMAN CAPITAL BY ADMINISTRATIVE ARCHIVES IN A STATIC AND LONGITUDINAL PERSPECTIVE: THE CASE OF MILAN

Abstract This paper focuses on the estimation of the latent variable human capital (HC) at disaggregated level (worker) by available routinely institutional data flows. In particular we utilize the Lombardy region administrative archive ‘Employment Centers of the Province of Milan’, collecting information about careers of workers in the private sector of the Milan area, and administrative flows collecting mandatory workers' individual income tax returns, filed with the National Internal Revenue Service. First, we propose and empirically estimate HC scores in a static (referred to 2004) framework, by means of a realistic measurement model within causal relationships among endogenous and exogenous (investment) HC indicators. Furthermore, the model also specifies a set of (concomitant) indicators that, not belonging to HC investment indicators, have causal impact on endogenous variables and on HC scores, too. Second, we propose a longitudinal analysis (period 2000–2004) aimed to investigate how workers' earned income growth rates vary over workers' educational levels and other personal characteristics. The empirical results of both analyses confirm the characteristics of the Italian job market, denoted by marked inequalities, and knowledge regarding the process of school to work transition, characterized by a weak incidence of education on longitudinal trajectories of earned income.     

Characterizing the mission statements of benefit corporations: Empirical evidence from Italy

In 2015, Italy introduced a new legal form—“benefit corporation” (società benefit)—that provides legal status to companies that have one or more common benefit objectives in addition to the profit-seeking goal. Italian benefit corporations are obligated by law to operate in a responsible, sustainable, and transparent way and to include the interests of different stakeholders in their corporate strategy. This study examines the Italian case by applying textual statistical analysis on benefit corporations' public mission statements using the IRaMuTeQ software. Performing hierarchical cluster analysis and correspondence factor analysis identifies the “benefit” concept emerging from the mission statements in terms of promotion of individual skills, development of a new business model, and service to society. This study contributes to the debate on the content of mission statements by giving empirical evidence about this new form of business, and it provides some practical implications for managers, entrepreneurs, and policymakers.     

A switching ARCH (SWARCH) model of stock market volatility: some evidence from Latin America

We use the Markov regime-switching ARCH (SWARCH) model of Hamilton and Susmel (J Econometrics 64:307–333, 1994) to document the presence of high volatility regimes in six Latin American countries (Argentina, Brazil, Chile, Mexico, Peru, and Venezuela). We found four high volatility episodes, each associated to either a local (the Mexican crisis of 1994, the Brazilian crisis of 1998–1999, the Argentinean crisis of 2001–2002) or a worldwide financial crisis (the Asian financial crisis of 1997). However, we found that the effects of each financial crisis are short-lived and that between 2 and 4 months after each crisis, all markets return to low volatility regimes.

On inferior inputs and marginal returns

An input is inferior if and only if an increase in its price raises all marginal productivities. A sufficient condition for input inferiority under quasi-concavity of the production function is then that there are increasing marginal returns with respect to the other input and a non-positive marginal productivity cross derivative. Thus, contrary to widespread opinion, input “competitiveness” is not needed. We discuss these facts and illustrate them by introducing a class of simple production function functional forms. Our results suggest that the existence of inferior inputs is naturally associated with increasing returns, and possibly strengthen the case for inferiority considerably.     

Localised Technological Change: The Interaction Between The Generation And The Diffusion Of New Technologies

The main contribution of this paper is to explore the role played by heterogeneity in supply and demand in selecting technological paths amongst many different alternatives, and in localising technological change in niches of potential adopters. Technological change is therefore inherently localised. For given levels of technological superiority, the innovations that are selected during the diffusion process are shown to be sensitive to the specificities of the production process at those points.