Equity, efficiency and inequality traps: A research agenda

This paper discusses a research agenda that arises from unanswered questions and unresolved issues considered in the World Bank’s World Development Report 2006: Equity and Development. After formalizing the key concepts of equity; equality of opportunity; and efficiency, and proposing a definition for an equitable development policy, the paper discusses the concept of inequality traps, around which the research agenda is structured. Four broad groups of research questions are highlighted: those revolving around the measurement of inequality of opportunity and the diagnostics for the existence of an inequality trap; those dealing with the causes of inequality traps; the quantification of their efficiency costs; and those related to how institutions (including governments) evolve to overcome inequality traps. Bourguignon and Ferreira are in the Development Economics Vice-Presidency, The World Bank. Michael Walton is at the John F. Kennedy School of Government, Harvard University. Together, they led the team that produced the World Bank’s World Development Report 2006: Equity and Development.     

Factors of regional poverty reduction in Colombia: Do institutional conditions matter?

Colombia has a unique history, which has been heavily conditioned by armed conflict lasting more than 50 years. This study examines the institutional conditions for success and failure in reducing poverty in Colombian departments by considering changes that took place between 2003 and 2014. Fuzzy‐set qualitative comparative analysis identifies the changes in regional conditions that reduce poverty over time. The pathways for poverty reduction are multidimensional, and many involve changes in institutional attributes such as government transparency, absence of violence, and electoral turnout. The framework developed in this paper can be used to monitor necessary and sufficient pathways in regional clusters.     

A sequence of improved standard errors under heteroskedasticity of unknown form

The linear regression model is commonly used by practitioners to model the relationship between the variable of interest and a set of explanatory variables. The assumption that all error variances are the same (homoskedasticity) is oftentimes violated. Consistent regression standard errors can be computed using the heteroskedasticity-consistent covariance matrix estimator proposed by White (1980). Such standard errors, however, typically display nonnegligible systematic errors in finite samples, especially under leveraged data. Cribari-Neto et al. (2000) improved upon the White estimator by defining a sequence of bias-adjusted estimators with increasing accuracy. In this paper, we improve upon their main result by defining an alternative sequence of adjusted estimators whose biases vanish at a much faster rate. Hypothesis testing inference is also addressed. An empirical illustration is presented.     

An Application of the Local Influence Diagnostics to Ridge Regression Under Elliptical Model

In this article, we study the effect of a minor perturbation on the ridge estimator considering the elliptical distribution for the errors. The necessary matrices for assessing the local influence under the perturbation of the explanatory variables and the scale matrix are derived. The Longley data is analyzed for illustration.     

Dynamic Marketing Capabilities: Toward an Integrative Framework

In recent years, the dynamic capabilities view has attracted attention in the management literature, and theoretical papers note many research challenges. Currently, one of the most significant issues is the role of the marketing function in the development of dynamic capabilities, and some recent discussions have even introduced the new term ‘dynamic marketing capabilities’. The main area of interest is how to achieve a well‐integrated framework to serve as the starting point for empirical papers. Although the most recent research proposes a wide range of processes as possible dynamic marketing capabilities, it is difficult to find consensus among these proposals. To resolve this difficulty, this paper seeks to define the dynamic marketing capabilities construct based on accepted components in the generic dynamic capabilities view. More specifically, it defines the role of dynamic marketing capabilities through absorptive capacity and knowledge management. By identifying these components and relating them in an integrative model, the authors propose to explain how dynamic marketing capabilities work and precisely which marketing processes promote both components.     

Introduccion

Resumen

El miedo, como una de las consecuencias de la situación sociopolítica de Argentina en los últimos años, ha afectado, y sigue afectando, a la mayor parte de los miembros de esa sociedad, presentando características diferentes según el periodo considerado, es decir, dictadura, transición a la democracia o gobierno democrático concreto. Se discuten sus implicaciones para la sociedad y se sugieren algunas formas de afrontarlo.     

Modeling Sequential Information Acquisition Behavior in Rational Decision Making

Most real‐life decisions are made with less than perfect information and there is often some opportunity to acquire additional information to increase the quality of the decision. In this article, we define and study the sequential information acquisition process of a rational decision maker (DM) when allowed to acquire any finite amount of information from a set of products defined by vectors of characteristics. The information acquisition process of the DM depends both on the values of the characteristics observed previously and the number and potential realizations of the remaining characteristics. Each time an observation is acquired, the DM modifies the probability of improving upon the products already observed with the number of observations available. We construct two real‐valued functions whose crossing points determine the decision of how to allocate each available piece of information. We provide several numerical simulations to illustrate the information acquisition incentives defining the behavior of the DM. Applications to knowledge management and decision support systems follow immediately from our results, particularly when considering the introduction and acceptance of new technological products and when formalizing online search environments.