Highlight 3.53 2019 Download
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Guaranty Trust Bank Quarter 3, 2019 Report Sanpshot; Gross Earnings Deep by 3.28% Revenue for Q3, decline by 5.28% Credit Impairment Charges Inched Higher By 59.01% OPEX Decline by 2.73% PAT inched higher by 3.53% Read More:
At the Saddle target diamond drilling conducted in 2015 and 2017 delineated a WNW-trending, N-dipping corridor of high-grade gold mineralization over 130m of strike with highlights including 3.53 g/t Au over 19.5m (DDH15-01) and 10.38 g/t Au over 6m (DDH17-08). The 2022 Mag-VLF survey identified a prominent untested WNW-trending VLF anomaly just 90m north of the surface expression of the Saddle gold anomalism. The anomaly extends for >850m and is coincident with high-grade soil samples returning values of 479 ppb Au, 325 ppb Au, and 262 ppb Au, all of which are found north (uphill) of the historically drilled and trenched mineralization at Saddle. The anomaly may represent a controlling structure focused along the contact between the Saddle granite, which hosts all known mineralization at Saddle, and Paleozoic quartzite and schist. The contact was not intersected by historic drilling and remains fully untested.
The Wels was initially identified by regional geochemical surveys in 2002and initially staked in 2011 and optioned to Gorllia Minerals. This led to the discovery of mineralization within a granitic stock at the Saddle Zone and subsequent sampling and trenching included grabs up to 149 g/t Au and trench samples of 8.8 g/t Au over 45m. Subsequent drilling on the Saddle by Gorilla include results of 3.53 g/t Au over 19.5m. The project was acquired by K2 in 2017 and conducted additional drilling on Saddle returning highlights of 2.37 g/t Au over 28.5m and 10.38 g/t Au over 6m. To date, the Saddle has 1674m of drilling over 15 holes and has been defined over 135m along strike and to 150m depth; and is open in both directions along strike and at depth.
The German higher education system presumably is more differentiated than the Anglo-Saxon one. Taking the perspective of one higher education premium ignores the fact that there are at least three specific and well-defined higher educational degree categories in Germany (Authoring Group NRoE 2018): Degrees from academic universities (referred to as universities, U, in what follows), degrees from universities of applied sciences (UAS), and the master craftsman\craftswoman certificate (MC). MC is the highest post-secondary degree outside the university system in Germany. It builds on a fourth qualification-type obtained via the dual vocational apprenticeship system (named vocational education and training, VET). These degrees vary significantly in academic content and length of study (see Sect. 2). Our study contributes to the international literature in a novel way by looking at the evolution of these three higher educational (gross) wage differentials compared to a VET degree using data from the Socio-Economic Panel Study (SOEP) from 1996 to 2019. In addition, we consider the major studied while at a university of applied sciences or university to highlight recent changes in the student composition of these majors and their potential relation to educational wage differentials.
Since wages and educational wage differentials result from several economy-wide and individual-specific factors, identifying specific factors strong enough to change their trajectory can be challenging. The part of the wage attributed to the level of education depends on the competencies attained in formal educational institutions. In addition, individuals select themselves into these institutions depending on their perceived abilities and socio-economic background (e.g., Becker and Hecken 2008; Hillmert and Jacob 2003; Müller and Pollak 2007), highlighting the role of preferences for academic education (see Kamhöfer et al. 2019) as well as otherwise often unobserved barriers to and benefits from educational pathways.
In the years under investigation, 1996 to 2019, the average real wages in our samples doubled (Additional file 1: Table S2). On average, they grew annually by 3.33% among women and 3.32% among men (Additional file 1: Table S3). This significant growth is, at least to some extent, the result of the stable performance of the German economy (e.g., Burda and Seele 2017, 2020; Dustmann et al. 2014). The wage growth rates vary between the educational categories. Workers with a degree from UAS experienced above average growth rates (especially women, at 3.92%, and to a lesser extent men, at 3.53%), and workers with no degree below average growth rates (2.78% for women, 2.47% for men). Women with an MC certificate experienced below average growth rates (3.17%), men above (3.51%). Women with a U degree experienced below average growth rates while men with a U degree experience an average growth rate. Despite the significant decrease in the share of workers with a VET degree, their wages also grew below the average (women: 3.05%, and men 3.07%). 2b1af7f3a8