Determinants of margin in microfinance institutions

Microfinance institutions (MFIs) lend to the poor. However, microfinance clients suffer from high interest rates, a type of poverty penalty. This article analyses the margin determinants in MFIs. A banking model has been adapted to microfinance. This model has been tested using 9-year panel data. Some factors explaining bank margin also explain MFI margin, with operating costs being the most important factor. Specific microfinance factors are donations and legal status, as regulated MFIs can collect deposits. It has also been found that MFIs operating in countries with a high level of financial inclusion have low margins.     

Immigration,Conflict, and Redistribution

In this paper, we analyze how the possibility of conflict between natives and immigrants shapes income redistribution in developed democracies. This possibility can generate income redistribution towards immigrants even if they have no voting rights. We show that the threat of conflict between natives and immigrants lowers vertical income redistribution (from the rich to the poor) as the level of immigration increases. The opposite holds for horizontal income redistribution (from natives to immigrants), which increases with the level of immigration. Income inequality weakens the negative effect of immigration on vertical redistribution, but it also reduces horizontal redistribution. These theoretical predictions are consistent with the results of our empirical analysis on data from 29 European countries: larger immigrant populations are associated with more redistribution towards immigrants and lower vertical redistribution.     

Food security as resilience: reconciling definition and measurement

In this article, we draw out a set of axioms for food security measurement that follow directly from the internationally agreed 1996 FAO definition. Building on recent work on the theory and measurement of development resilience, we then propose an empirical strategy to measure food security that addresses these measurement axioms better than do prevailing measures. We empirically illustrate this approach using a panel data set from northern Kenya.     

Financial sector development and access to finance. Does size say it all?

This paper analyzes what features of financial systems can strengthen the linkages between banks and economic development. We investigate whether a set of banking and capital market characteristics can improve the ability of banks to provide increased credit flows to the private sector, while simultaneously improving financial inclusion for the poor. We analyze the determinants of both macro-level lending conditions and micro-level access to finance using a set of Panel Vector Error Correction Models and GMM estimations in a panel of 138 countries for the 2002–2009 time periods. Results converge to suggest that rather than focusing solely on banking sector size, financial policy should seek to foster inter banks competition, develop appropriate macro-prudential safeguards, promote capital market development. In addition, improved access to finance requires adequate civil rights and support to entrepreneurship.     

Uncertainty and switching in the mortgage market

We examine when it might be optimal for borrowers to switch providers of debt products such as their mortgage, allowing in particular for the role of uncertainty by constructing a stylized real options model of the decision problem involved. We illustrate with numerical examples, and then calibrate the model for the UK mortgage market for the period October 1998 to March 2005; significant magnitudes of trigger levels can arise even when standard switching costs are zero, providing an additional, risk-related explanation to the inertia commonly observed in borrowers' product choices.     

Efficiency of travel agency franchises: a study in Spain

Efficiency in a firm is important because it ensures that the economy’s scarce resources are not being wasted. It produces something else of value—profits or the continued existence of the organisation. This work contributes to the literature on efficiency in franchising. Specifically, it is focused on the sector of travel agencies which operate in the franchising system in Spain. This fact is an original contribution and is very important because until now there have not been any studies about efficiency in this sector of franchising. The results show that the number of brand names which are efficient is around 50%. This means that many chains are not efficient. This result may be, to a great extent, a result of the dynamics of this sector in recent years. A Tobit model is also used in order to characterise the franchisors’ efficiency. Some important findings are showed.     

Referenda Under Oath

Herein we explore whether a solemn oath can eliminate hypothetical bias in a voting referenda, a popular elicitation mechanism promoted in non-market valuation exercises for its incentive compatibility properties. First, we reject the null hypothesis that a hypothetical bias does not exist. Second, we observe that people who sign an oath are significantly less likely to vote for the public good in a hypothetical referenda. We complement this evidence with a self-reported measure of honesty which confirms that the oath increases truthfulness in answers. This result opens interesting avenues for improving the elicitation of preferences in the lab and beyond.     

Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances

We propose a new class of models specifically tailored for spatiotemporal data analysis. To this end, we generalize the spatial autoregressive model with autoregressive and heteroskedastic disturbances, that is, SARAR(1, 1), by exploiting the recent advancements in score‐driven (SD) models typically used in time series econometrics. In particular, we allow for time‐varying spatial autoregressive coefficients as well as time‐varying regressor coefficients and cross‐sectional standard deviations. We report an extensive Monte Carlo simulation study in order to investigate the finite‐sample properties of the maximum likelihood estimator for the new class of models as well as its flexibility in explaining a misspecified dynamic spatial dependence process. The new proposed class of models is found to be economically preferred by rational investors through an application to portfolio optimization.     

Audit Partner Tenure and Independence in a Low Litigation Risk Setting

We investigate whether long audit partner tenures impair auditor independence, as proxied by the opinion of the audit report, with a sample of Spanish companies for the period: 2002–2010. The Spanish audit market constitutes an ideal setting in which to address this issue, as it is characterized by unusually lengthy engagements with the audit firm. The motivation relies, on the one hand, on the current discussion about the necessity to reinforce the independence of auditors and, on the other hand, on the very limited available research at the partner level. The main result is the lack of significant effects of partner tenure on independence. This finding is robust to various checks. Unlike prior research, we also address the joint effects of firm and partner tenure on independence. Results indicate that partner tenure does not compromise independence, even under long or extremely long audit firm tenures. These findings might have some interesting policy implications, in particular for the intense current debate on auditor rotation regimes which is taking place within the European Union.