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The use of cyclostratigraphy to reconstruct the timing of deposition of lacustrine deposits requires sophisticated tuning techniques that can accommodate continuous long-term changes in sedimentation rates. However, most tuning methods use stationary filters that are unable to take into account such long-term variations in accumulation rates. To overcome this problem we present herein a new multiband wavelet age modeling (MUBAWA) technique that is particularly suitable for such situations and demonstrate its use on a 293 m composite core from the Chew Bahir basin, southern Ethiopian rift. In contrast to traditional tuning methods, which use a single, defined bandpass filter, the new method uses an adaptive bandpass filter that adapts to changes in continuous spatial frequency evolution paths in a wavelet power spectrum, within which the wavelength varies considerably along the length of the core due to continuous changes in long-term sedimentation rates. We first applied the MUBAWA technique to a synthetic data set before then using it to establish an age model for the approximately 293 m long composite core from the Chew Bahir basin. For this we used the 2nd principal component of color reflectance values from the sediment, which showed distinct cycles with wavelengths of 10–15 and of ∼40 m that were probably a result of the influence of orbital cycles. We used six independent 40Ar/39Ar ages from volcanic ash layers within the core to determine an approximate spatial frequency range for the orbital signal. Our results demonstrate that the new wavelet-based age modeling technique can significantly increase the accuracy of tuned age models.

Joining the European Union club implies, among many other policy changes, full integration of Romania’s economy into EU’s customs union. This is expected to have significant implications for domestic farmers and food processors. The paper constructs a single-country Applied General Equilibrium (AGE) model to investigate the impact of tariff border adjustments on changes in relative prices, production and trade patterns associated with fifteen local agro-food activities. Moreover, the modelling work identifies those agro-food sectors that have the potential to benefit the most from EU enlargement in terms of output effects given that Romanian producers are capable of fully responding to the incentives provided with integration. These mainly include (bovine) live animals and meat products, sugar, and cereal grains. Agro-food trade with EU intensifies in particular for those commodities for which trade restrictions are still substantial prior to accession. However, the magnitude of changes is relatively small due to the weak integration of domestic agro-food sectors into international trade structures. The AGE model also predicts static welfare gains of 0.65 percent of GDP equivalent variation. These seem to be more associated with better access to EU markets and increased export prices, and less with the preferential unilateral elimination of tariffs or their adjustment to EU’s external levels. The model assumptions are highly theoretical and the model structure does not reflect with fidelity the workings of an economy in transition. Nonetheless, it does represent a solid base upon which further improvements could be added and structural transitional issues could be attached to more accurately predict potential outcomes.