Saudi Structural Vector Auto-Regressive (SVAR) Model:
The Saudi S-VAR is Vector Auto-Regressive Model of Major Macroeconomic Indicators, Augmented with a Structural Macro-econometric Model of 8 blocks and 14 Sectors (86 activities as per ISIC4) of the economy. The Model contains three main blocks, which are: a Nominal Block, a Real Block, and an Equilibrium Block. The Model includes indices such as: Oil GDP, Non-Oil GDP , Inflation, Unemployment, Money Supply, Government Expenditure, Government Revenue, Private Investment, Exports, Imports, World GDP, World Price Level, Oil Prices, Oil Production, FedFund rate, SIABOR, REER). It is able to measure Short Term Economic Policy Impacts, sensitivity of inflation and growth to changes in major international indicators, and perform short term prediction of GDP growth, inflation and Saudi unemployment.
Saudi-SVAR Model:
- Nominal Block: 63 VAR Equations for the transmission mechanisms between prices, interest rates, money supply, inflation, liquidity, credit, and investment, consumption, and output.
- Real Block: 441 behavior equations for sectors as per ISIC 4 classifications.
- 19 Identities including Clearing Conditions (Equilibrium). The model captures both Equilibrium and Disequilibrium aspects of the Saudi economy in the short term.
Main Use:
*Policy Impact Analysis (Short-term, up to 2 years)
*Short term Forecasting of Key Economic Indicators
Built Models within
Advanced Analytics
SDCGE MODEL
SDCGE has been developed to be used in studying the economic impact of economic policies, projecting key macroeconomic variables and monitoring the Saudi Arabia's developing plans and Economic Reforms
Main Use
Policy Impact Analysis (Med-Long Term, 3-10 Years)
Med.-Long term Forecasting of Key Economic Indicators
SVAR MODEL
The Saudi S-VAR is Vector Auto-Regressive Model of Major Macroeconomic Indicators, Augmented with a Structural Macro-econometric Model of 8 blocks and 14 Sectors (86 Activities as per ISIC4) of the economy. The Model contains three main blocks
Main Use
Policy Impact Analysis (Short Term, Upto 2 Years)
Short term Forecasting of Key Economic Indicators
MIMIC MODEL
The MIMIC Model is a Structural Equation Model which takes into account the determination of Shadow Economy's causes and indicators.
Main Use
Estimating and Forecasting the Size Shadow Economy of Saudi (within the formal and informal economy ) and any shadow/ uncaptured economic activity based on the data availability.
Gini - HDI Model
The Gini - HDI Model aims to estimate the factors determining the Gini and HDI Indices and their dimensions and linking them to other economic models to estimate the impact of any future policy if the Gini Coefficient and the Human Developement Index.
Main Use
Capturing Impact Of Economic and Social Policy on the Gini Coefficient and the Human Development Index by Linking the Model to any Economic / Social Model
SNMEM Model
Nested Modelling: If Model A is nested in Model B, then the parameters of Model A are a subset of the parameters of Model B. In the case of a Nested Macro Econometric Model, any previous policy, investment plan, social regulation.
Main Use
Assessment Historical Impact of previously applied policies.
Dynamic Stochastic Labour Transition Model
The Model measures: Inertia, Reliability, Activity Rate, Entrant Rate, Exit Rate, Unemployment Rate, Guve-up Rate, Net Outflow.
Main Use
Provide Analytics of the Saudi Labour Market and could be used to forecast and assess impact of future policies on the measures which the model produces
GAMEbit Toolkit Model
The Gambit Toolkit is a generic game theoretic model for solving extensive and normal form game theoretic models.
Main Use
Gambit is for finite games only. Because of the mathematical structure of finite games, it is possible to write many general- purpose routines for analyzing these games. Thus, Gambit can be used in a wide variety of applications of game theory.
Early Warning System (EWS) Modeling
Recurrent Neural Networks (RNN) and a Deep Learning (DL) approach based on Long-Short Term Memory (LSTM)
Main Use
The intensification of key socioeconomic cycles’ indicators raises concerns about future trends and turning points of such indicators and their impact on economic and social growth and developments plans.
Regional Analytical Model (RAM)
Regional Spatial-intertemporal Data Modeling and Representation using ArcGIS Geostatistical Analytics.
Main Use
ArcGIS Geostatistical Analytics generate optimal surfaces from sample data and evaluate predictions for better decision making. (I)ArcGIS Geostatistical Analytics offers a suite of interactive tools to visually investigate data prior to analysis