We evaluate, using a randomized trial, two school-based financial literacy education programs in government-run primary and junior high schools in Ghana. One program integrated financial and social education, whereas the second program only offered financial education. Both programs included a...

Teenage motherhood is very high in South Africa. In 2001, 55 per thousand African South African women and 82 per thousand Coloured South African women were teenage mothers as compared to 8 among Indian South Africans and 3 among White South African women. In this paper we use the South African...

A flexible predictive density combination model is introduced for large financial data sets which allows for dynamic weight learning and model set incompleteness. Dimension reduction procedures allocate the large sets of predictive densities and combination weights to relatively small sets....

We investigate the asymptotic behavior of the WALS estimator, a model-averaging estimator with attractive finite-sample and computational properties. WALS is closely related to the normal location model, and hence much of the paper concerns the asymptotic behavior of the estimator of the unknown...

A flexible predictive density combination is introduced for large financial data sets which allows for model set incompleteness. Dimension reduction procedures that include learning allocate the large sets of predictive densities and combination weights to relatively small subsets. Given the...

Using data for 134 locations in New Zealand, we study the effects of crime and agglomeration on urban amenity. We find that crime has significant negative effects on the value of urban amenity, with elasticities of approximately ?0.06 for firms and ?0.09 for workers. To put this effect in...

Detecting heterogeneity within a population is crucial in many economic and financial applications. Econometrically, this requires a credible determination of multimodality in a given data distribution. We propose a straightforward yet effective technique for mode inference in discrete data...

Multimodal empirical distributions arise in many fields like Astrophysics, Bioinformatics, Climatology and Economics due to the heterogeneity of the underlying populations. Mixture processes are a popular tool for accurate approximation of such distributions and implied mode detection. Using...

The relationship between excess returns and the dividend price ratio is known to be unstable. However, there is no consensus on the type of instability, i.e. few or many breaks. Differences in parameter instability affect the long-term investor in particular, as misspecification errors are...

We propose a new Bayesian heteroskedastic Markov-switching structural vector autoregression with data-driven time-varying identification. The model selects alternative exclusion restrictions over time and, as a condition for the search, allows to verify identification through heteroskedasticity...