The price of deposit liquidity: banks versus microfinance institutions

Using data from Bangladesh, this article finds that the liquidity premium – the difference between the interest paid on illiquid and liquid savings accounts – is higher in commercial banks than in microfinance institutions. One possible interpretation lies in the higher prevalence of time-inconsistency among the poor. The observed difference in liquidity premia could be due to poor time-inconsistent agents willing to forgo interest on illiquid savings accounts in order to discipline their future selves.     

Social capital, ICT use and company performance: Findings from the Medicon Valley Biotech Cluster

This study explores how some uses of ICTs, as well as having social capital and other means of access to knowledge resources, are related to company performance in a knowledge-intensive business cluster. Data were collected through a survey of companies in the Medicon Valley biotech region located in Denmark and Southern Sweden. Responding companies included established producers of biotechnology-related products as well as small biotechnology start-up firms emphasizing research and development. The results suggest that when ICT use was aimed at accessing and enhancing human and intellectual capital, such as use of online databases for recruitment, intranets to enhance employee access to information and education, and collaborative tools to connect with off-premise researchers, companies reported better performance outcomes. Social capital in the form of connections to people who can provide access to information and opportunity predicted company performance, particularly for small start-up companies. The pattern of results complements prior work that establishes the importance of social capital in regional business clusters by demonstrating how certain ICT uses complement personal relationships to enhance the likelihood of success among companies in the region.     

Estimation of a US dairy sector model by maximum simulated likelihood

This paper estimates a multivariate Tobit system of monthly wholesale dairy prices where four prices are lower censored by the dairy price support programme. Using Maximum Simulated Likelihood (MSL) the effects of simulation noise are tested/corrected for and the relevance of estimating multivariate versus the single Tobit equations discussed.     

European Periphery Crises,International Financial Markets,and Democracy

This article analyzes the origin and causes of the recent economic and financial crises, mainly for the countries located in the periphery of the European Union (EU), as well as their evolution and transformation into social, political, and institutional crises. After explaining the differential impact of the crises on EU economies, we analyze how the economic policies developed thus far not only are unable to resolve the current crisis pattern but also actually entail a risk to the present democratic models by transferring the legitimate control over governments from citizens and democratic parliaments to unelected, nonrepresentative international financial markets.     

Why have business cycle fluctuations become less volatile?

This paper shows that a standard Real Business Cycle model driven by productivity shocks can successfully account for the 50% decline in cyclical volatility of output, its components, and labor input that has occurred since 1983. The model is successful because the volatility of productivity shocks has also declined significantly over the same time period. We then investigate whether the decline in the volatility of the Solow Residual is due to changes in the volatility of some other shock operating through a channel that is absent in the standard model. We therefore develop a model with variable capacity and labor utilization. We investigate whether government spending shocks, shocks that affect the household’s first order condition for labor, and shocks that affect the household’s first order condition for saving can plausibly account for the change in TFP volatility and in the volatility of output, its components, and labor. We find that none of these shocks are able to do this. This suggests that successfully accounting for the post-1983 decline in business cycle volatility requires a change in the volatility of a productivity-like shock operating within a standard growth model. We thank Stephen Parente, Ed Prescott, John Taylor, and two anonymous referees for helpful comments and suggestions.     

An evaluation of the performance and suitability of R × C methods for ecological inference with known true values

Ecological inference refers to the study of individuals using aggregate data and it is used in an impressive number of studies; it is well known, however, that the study of individuals using group data suffers from an ecological fallacy problem (Robinson in Am Sociol Rev 15:351–357, 1950). This paper evaluates the accuracy of two recent methods, the Rosen et al. (Stat Neerl 55:134–156, 2001) and the Greiner and Quinn (J R Stat Soc Ser A (Statistics in Society) 172:67–81, 2009) and the long-standing Goodman’s (Am Sociol Rev 18:663–664, 1953; Am J Sociol 64:610–625, 1959) method designed to estimate all cells of R × C tables simultaneously by employing exclusively aggregate data. To conduct these tests we leverage on extensive electoral data for which the true quantities of interest are known. In particular, we focus on examining the extent to which the confidence intervals provided by the three methods contain the true values. The paper also provides important guidelines regarding the appropriate contexts for employing these models.     

Effects of Using Mean Scores in Regression Models: An Example From Environmental Psychology

Multiple regression analysis with grouped data is often used as a method for exploring environmental preferences, the preferred unit for measurement in such analyses is mean scores rather than individual scores.Although this procedure allows us to reduce the potential for error in measuring different variables and, as a consequence of this, improves the reliability of the technique, it also produces some additional, undesirable effects. The latter include artificial increases in R² values which give the impression that a high degree of fit has been achieved for the regression model. Indeed, this goodness fit often appears to be better than that which could have been achieved by using individual scores. Further, given that different studies operate with differing numbers of subjects in their groups, the R² scores which result from the analyses of these groups are not directly comparable.In the following discussion, we demonstrate how any value, other than zero for correlations between variables, can be increased, at will, by simply expanding the number of subjects in each group. We present the specialised formulae used for quantifying this increase and offer a warning about the purely relative nature of any study which bases its conclusions on models of regression analysis using grouped data.     

Returns to Skills and the Distribution of Wages: Spain 1995–2010

In contrast to the pattern observed in other developed countries, the Spanish wage distribution compressed between 1995 and 2006 and became more disperse afterwards, so that in 2010 wage inequality was roughly similar to 1995. In this paper, we analyze the role of supply and demand factors when accounting for these facts. We start by decomposing observed wage changes into changes in the composition of the labour force and changes in the returns of workers' and jobs' characteristics. The results indicate that the compression of the wage distribution between 1995 and 2006 is largely explained by changes in returns, and particularly, by a decrease in the returns to education. We show that both the increase in the supply of high‐skilled workers and the increasing weight of low‐skilled occupations are related to the decreasing trend in the skill premium over this period. In contrast, the widening of the wage distribution after 2006 is largely explained by an increase in the relative demand for high‐skilled workers generating an increase in the school premium.     

Mediation effect of TQM technical factors in excellence management systems

This study seeks to examine the relationship between TQM social and technical factors and their effects on organizational results, and takes the EFQM model as a reference. Moreover, through structural equation modeling (Partial Least Squares), the study hypothesizes and tests a mediation model between social factors, technical factors and overall results. The study uses a sample of 116 Spanish firms undergoing complete assessment processes according to RADAR logic. The results show that: (1) an open, flexible and continuous improvement oriented culture, a committed and involved leadership, and efficient management of human resources (TQM social factors) exert a direct and significant impact on the effectiveness of the quality system deployed (TQM technical factors) and on the results; (2) the management and improvement of processes, the alliances with suppliers and other partners, and the management of resources (TQM technical factors) also directly influence results; moreover, (3) this variable partially mediates the effect of social TQM practices on organizational results.     

Inference on factor structures in heterogeneous panels

This paper develops an estimation and testing framework for a stationary large panel model with observable regressors and unobservable common factors. We allow for slope heterogeneity and for correlation between the common factors and the regressors. We propose a two stage estimation procedure for the unobservable common factors and their loadings, based on Common Correlated Effects estimator and the Principal Component estimator. We also develop two tests for the null of no factor structure: one for the null that loadings are cross sectionally homogeneous, and one for the null that common factors are homogeneous over time. Our tests are based on using extremes of the estimated loadings and common factors. The test statistics have an asymptotic Gumbel distribution under the null, and have power versus alternatives where only one loading or common factor differs from the others. Monte Carlo evidence shows that the tests have the correct size and good power.