We construct a weighted Euclidean distance that approximates any distance or dissimilarity measure between individuals that is based on a rectangular cases-by-variables data matrix. In contrast to regular multidimensional scaling methods for dissimilarity data, the method leads to biplots of...

Few studies have examined the combined effect of implementing quality and environmental management within the service sector. This void is more evident if we focus on segments in which small businesses predominate and even more so if we look for highly competitive sectors that are very variable...

As a result of debt enforcement problems, many high-productivity firms in emerging economies are unable to pledge enough future profits to their creditors and this constrains the financing they can raise. Many have argued that, by relaxing these credit constraints, reforms that strengthen...

We examine the effect of oil price fluctuations on democratic institutions over the 1960-2007 period. We also exploit the very persistent response of income to oil price fluctuations to study the effect of persistent (oil price-driven) income shocks on democracy. Our results indicate that...

We study a dynamic general equilibrium model where innovation takes the form of the introduction of new goods whose production requires skilled workers. Innovation is followed by a costly process of standardization, whereby these new goods are adapted to be produced using unskilled labor. Our...

Canonical correspondence analysis and redundancy analysis are two methods of constrained ordination regularly used in the analysis of ecological data when several response variables (for example, species abundances) are related linearly to several explanatory variables (for example,...

Consider the case in which we have data from repeated surveys covering several geographic areas, and our goal is to characterize these areas on a latent trait that underlies multiple indicators. This characterization occurs, for example, in surveys of information and communication technologies...

How does transparency, a key feature of central bank design, affect the deliberation of monetary policymakers? We exploit a natural experiment in the Federal Open Market Committee in 1993 together with computational linguistic models (particularly Latent Dirichlet Allocation) to measure the...

We estimate the response of stock prices to exogenous monetary policy shocks using a vector-autoregressive model with time-varying parameters. Our evidence points to protracted episodes in which, after a a short-run decline, stock prices increase persistently in response to an exogenous...

We propose a rule of decision-making, the sequential procedure guided by routes, and show that three influential boundedly rational choice models can be equivalently understood as special cases of this rule. In addition, the sequential procedure guided by routes is instrumental in showing that...