Analysis of the socio-economic determinants of mobile money adoption and use in Cameroon

This study analyses the adoption and use of mobile money (MM) services based on data collected on 1000 households from the Global Findex Survey conducted in 2017 in Cameroon, by the World Bank. More specifically, this study attempts to first profile MM adopters, and then identify the explanatory factors of the different uses of these services. A Probit model is used to highlight the explanatory factors of MM adoption combined with multivariate regressions to identify the determinants of MM service use. Then, estimates of three independent Probits, under the assumption of non-simultaneity of the different uses of MM services are done to test the reliability and robustness of the results. The results reveal that socio-economic factors such as age, level of education, the standard of living and mobile phone ownership differentially affect both the adoption and use of MM services in Cameroon.     

Towards the Development of a Tax System Complexity Index

Reducing tax system complexity is a common goal amongst policymakers; yet there is no commonly agreed definition of complexity. This paper seeks to fill this gap, by proposing the construction of an index of tax system complexity, conceived as a summary indicator of the overall complexity of a tax system at a particular point in time. If adopted, such an index would not only enable assessment of the changing level of a country's tax system complexity over time, but may also facilitate comparisons of the relative complexity of different countries' tax systems in future.     

Capital Structure,Corporate Taxation and Firm Age*

This paper analyses the relationship between corporate taxation, firm age and debt. We adapt a standard model of capital structure choice under corporate taxation, focusing on the financing and investment decisions typically faced by a firm. Our model suggests that the debt ratio is associated positively with the corporate tax rate and negatively with firm age. Further, we predict that the tax-induced advantage of debt is more important for older firms than for younger ones. To test these hypotheses empirically, we use a cross-section of around 405,000 firms from 35 European countries and 127 NACE three-digit industries. In line with previous research, we find that a firm's debt ratio increases with the corporate tax rate. Further, we observe that older firms exhibit smaller debt ratios than their younger counterparts. Finally, consistent with our theoretical model, we find a positive interaction between corporate taxation and firm age, indicating that the impact of corporate taxation on debt increases over a firm's lifetime.     

Capital incentives and adequacy for securitizations

This paper analyzes the capital incentives and adequacy of financial institutions for asset portfolio securitizations. The empirical analysis is based on US securitization rating and impairment data. The paper finds that regulatory capital rules for securitizations may be insufficient to cover implied losses during economic downturns such as the Global Financial Crisis. In addition, the rating process of securitizations provides capital arbitrage incentives for financial institutions and may further reduce regulatory capital requirements. These policy-relevant findings assume that the ratings assigned by rating agencies are correct and can be used to build a test for the ability of Basel capital regulations to cover downturn losses.     

Negative equity and wages

We examine the relationship between housing equity and wage earnings using nine waves of the national American Housing Survey from 1985 to 2003. Employing a rich set of time and place controls, a synthetic mortgage instrumental variable strategy, and a first difference estimator we find that people underwater on their mortgage command a significantly lower wage than other homeowners. The finding survives a number of robustness checks for reverse causality and unobserved heterogeneity. We also explore other determinants of “house lock” including loss aversion, a low existing mortgage interest rate and property tax assessment caps, but do not find these factors mitigate the effect of negative equity on wages.     

On multivariate higher order von Mises expansions

In this paper we review the von Mises calculations of higher order for statistical functionals of one variable. For the functionals of several variables, the higher order Gateaux differentials are defined leading to the corresponding multivariate higher order von Mises expansions. These expansions are used to analyze the bias of the corresponding statistical functionals. The second and third order derivatives are computed for M-estimates. Applications of these expansions to study the bias of M-estimates of location and to simultaneous M-estimates of location and scale are also given. Received: July 2000     

Testing for structural change in regression quantiles

Most studies in the structural change literature focus solely on the conditional mean, while under various circumstances, structural change in the conditional distribution or in conditional quantiles is of key importance. This paper proposes several tests for structural change in regression quantiles. Two types of statistics are considered, namely, a fluctuation type statistic based on the subgradient and a Wald type statistic, based on comparing parameter estimates obtained from different subsamples. The former requires estimating the model under the null hypothesis, and the latter involves estimation under the alternative hypothesis. The tests proposed can be used to test for structural change occurring in a pre-specified quantile, or across quantiles, which can be viewed as testing for change in the conditional distribution with a linear specification of the conditional quantile function. Both single and multiple structural changes are considered. We derive the limiting distributions under the null hypothesis, and show they are nuisance parameter free and can be easily simulated. A simulation study is conducted to assess the size and power in finite samples.     

Robustness and inference in nonparametric partial frontier modeling

A major aim in recent nonparametric frontier modeling is to estimate a partial frontier well inside the sample of production units but near the optimal boundary. Two concepts of partial boundaries of the production set have been proposed: an expected maximum output frontier of order m=1,2,… and a conditional quantile-type frontier of order α∈]0,1]. In this paper, we answer the important question of how the two families are linked. For each m, we specify the order α for which both partial production frontiers can be compared. We show that even one perturbation in data is sufficient for breakdown of the nonparametric order-m frontiers, whereas the global robustness of the order-α frontiers attains a higher breakdown value. Nevertheless, once the α frontiers break down, they become less resistant to outliers than the order-m frontiers. Moreover, the m frontiers have the advantage to be statistically more efficient. Based on these findings, we suggest a methodology for identifying outlying data points. We establish some asymptotic results, contributing to important gaps in the literature. The theoretical findings are illustrated via simulations and real data.     

Do Spillovers Stimulate Incremental or Drastic Product Innovations? Evidence from German Establishment Data*

Despite the generally recognized importance of knowledge spillovers, the empirical literature is essentially silent on the type of innovation stimulated by spillovers. We estimate the determinants of product innovations differing in their degree of newness to the adopting firm. Knowledge spillovers from rivals have a positive impact on incremental innovations. This impact is largely independent of participation in R&D cooperation. Spillovers exert no such independent influence on drastic innovation activities. The results support the hypothesis that establishments face difficulties in using knowledge that comes from areas they are not familiar with. Establishments exploit spillovers for incremental innovations rather than for drastic innovations. To some degree R&D cooperation can help to overcome the difficulties in using spillovers for drastic innovations. Furthermore, our estimates provide evidence that the firm's own R&D effort and the use of outside information are substitutes.     

Growth and enduring epidemic diseases

This paper analyzes the interplay of human capital formation and economic growth when there is premature adult mortality. Failing adequate insurance arrangements, a long wave of such mortality can so undermine human capital formation as to induce an economic collapse. In nuclear family structures, random matching of partners is superior to assortative mating only if the shock is not too big and initial levels of human capital are not too low. Full pooling of mortality risks with equal treatment of all children in extended families may fend off a general collapse, depending on the initial conditions and the size and duration of the shock. To avoid undesirable effects on expectations, awareness campaigns should be complemented by policies that credibly promise to reduce future mortality. If mortality depends on the general level of human capital, indeterminacy can arise in the form of more than one rational expectations path.