The Performance of Islamic Vs. Conventional Banks: Evidence on the Suitability of the Basel Capital Ratios

This paper examines the effect of various types of bank capital on the profitability and efficiency of conventional and Islamic banks. Our results show that higher quality forms of capital improve the profitability and efficiency for both systems although the results are stronger for conventional banks. The capital effect is more pronounced for large, too-big-to-fail, and highly capitalized banks. The results are robust across various subsamples, alternative profitability and efficiency measures, and different estimation techniques.     

Market Interaction and Pro-Social Behavior: An Experimental Study

When actions generate negative externalities for third parties, incentives exist to pass these “morally costly” decisions to others. In laboratory experiments, we investigate how market interaction affects allocations when the right to divide a sum of money between oneself and a passive recipient is commoditized. Allocation to recipients is reduced by more than half when determined by subjects who purchase or keep the right to make the division as compared to a control where subjects are directly assigned the right. Sellers report accurate beliefs about recipient allocations and do not report feeling less responsible the more often they sell the allocation right. The market allocates the right to make divisions more frequently to buyers who allocate more to recipients, but sellers who allocate less to recipients tend to sell less often. Selection cannot solely explain the results, suggesting market interaction itself may directly impact behavior.     

Migration and its Determinants: A Study of Two Communities in Colombia

Using data gathered by the author in two communities in Southwestern Colombia, this paper tests a model of migration which incorporates relative deprivation as one of many possible reasons to migrate. The study finds that the product of relative deprivation and family income not only has a sensible interpretation; it is a better predictor of migration than its two component variables alone. Results also show that families with the highest propensities to migrate are those with the most to gain in terms of being better able to reduce relative deprivation through successful migration. These families, however, are neither at the bottom nor at the top of the income distribution in their communities. The study also finds that those most likely to migrate to the USA conform most closely to the immigration policies of the USA.

Assessing the Competitiveness of International Financial Services in Particular Locations: A Survey of Methods and Perspectives

The International Financial Services (IFS) industry is restructuring internally and by location. This paper outlines the economic forces and analytical methods that may be applied to examine the economic drivers of these processes as ever more cities, particularly in East Asia, are vying to attract IFS providers and their clients. The ICT revolution has made those IFS that can be commoditized footloose in search of cost efficiency. High value-added financial services, however, will continue to be developed and coordinated in a few major IFS centers that have invested in, or capitalized on, regional or global advantages for themselves and their clients. The resulting pattern of functional fragmentation and geographic dispersal may facilitate analyses of the competitiveness of different lines of the financial services business in a particular location by methods such as Data Envelopment and Stochastic Frontier Analysis. These forms of comparative efficiency analysis have recently been questioned and their results reinterpreted.

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.     

Playing the synthesizer with Canadian data: Adding polls to a structural forecasting model

Election forecasting has become a fixture of election campaigns in a number of democracies. Structural modeling, the major approach to forecasting election results, relies on ‘fundamental’ economic and political variables to predict the incumbent’s vote share usually a few months in advance. Some political scientists contend that adding vote intention polls to these models—i.e., synthesizing ‘fundamental’ variables and polling information—can lead to important accuracy gains. In this paper, we look at the efficiency of different model specifications in predicting the Canadian federal elections from 1953 to 2015. We find that vote intention polls only allow modest accuracy gains late in the campaign. With this backdrop in mind, we then use different model specifications to make ex ante forecasts of the 2019 federal election. Our findings have a number of important implications for the forecasting discipline in Canada as they address the benefits of combining polls and ‘fundamental’ variables to predict election results; the efficiency of varying lag structures; and the issue of translating votes into seats.