Sökning: "macro model"
Visar resultat 1 - 5 av 259 uppsatser innehållade orden macro model.
1. Does industry survey data improve GDP forecasting?
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. LÄS MER
2. “HYRAN VERKAR INTE VARA ETT PROBLEM GIVET ANTALET INTRESSENTER VI HAFT”. En kritisk diskursanalys av mediernas makt över en gentrifieringsprocess utifrån fallet Möllevången
Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikationSammanfattning : Executive summary Sweden has gone from having the most regulated housing-market in Europe, to having one of the most liberal and market oriented ones in just 30 years. This has a great impact on the everyday life of the many people living in Sweden's larger cities. LÄS MER
3. Key challenges in SFI education: teacher’s perspectives
Master-uppsats, Göteborgs universitet/Institutionen för pedagogik och specialpedagogikSammanfattning : Aim: The study aims at investigating SFI teachers’ perspectives about different types of challenges they confront with, and the impact that perceived challenges have on teachers’ practices in Gothenburg, Sweden. Theory: Socio-ecological framework was used to comprehend how multiple factors at various levels affect the teachers work and their practices as well. LÄS MER
4. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikSammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER
5. A spatially explicit model of segregation dynamics : Comparing the Schelling and the Sakoda model
Master-uppsats, Linköpings universitet/Institutet för analytisk sociologi, IASSammanfattning : The scientific consensus has for long been that residential segregation is best conceived of as a multidimensional phenomenon that can exist on several geographical scales (Massey & Denton, 1988; Lee et al., 2008; Reardon & O’Sullivan, 2004; Reardon et al., 2008). LÄS MER