[PDF] Top 20 Forecasting national recessions using state level data
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Forecasting national recessions using state level data
... in national-level economic indicators, such as financial and aggregate economic activity variables, for forecasting and nowcasting ...activity. Using a probit model to forecast the NBER ... See full document
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State-level Dynamic CGE Modeling for Forecasting and Policy Analysis
... the State level using the LMPST method we need data on output and/or employment by State and 500-order ...or National. Our colleagues at the ITC have supplied us with 500-order ... See full document
24
Modelling and Forecasting Recessions in Oil-Exporting Countries: The Case of Iran
... training data. In fact, curves of final effects show the effect of indicators influencing the probability of recession’s outbreak. As it can be seen in the figure, with increase in total real imports, recession ... See full document
6
Leveraging turbine-level data for improved probabilistic wind power forecasting
... Abstract—This paper describes two methods for creating improved probabilistic wind power forecasts through the use of turbine-level data. The first is a feature engineering approach whereby deterministic ... See full document
9
State Aid: Is Cohesion at the National Level Successful?
... pools data from all the Member States for two periods: 1999 and ...(i.e. state aid) in terms of state aid per capita and state aid as a share of GDP (both expressed in real figures) to account ... See full document
11
Forecasting Groundwater Level in an Arid Area According to Climatic Data
... The target area of research is the area of Chirchik river basin, where crop production is carried out exclusively by irrigation [4]. Therefore, prediction of the state of groundwater enhances the effectiveness of ... See full document
8
Reconnecting urban planning with health: a protocol for the development and validation of national liveability indicators associated with noncommunicable disease risk behaviours and health outcomes
... the National Liveability Study, funded through The Australian Prevention Partnership Centre (TAPPC), will develop and validate a national set of spatially derived built environment liveability indicators ... See full document
5
Use of turbine-level data for improved wind power forecasting
... Three state-of-the-art forecasting techniques are imple- mented to forecast wind farm and wind turbine power produc- ...estimation using the least absolute shrinkage and selection operator (LASSO) ... See full document
6
National weighting of data from the Behavioral Risk Factor Surveillance System (BRFSS)
... BRFSS. State-level estimates of BRFSS are useful for many different types of research, but many data users also need to generate na- tional estimates from BRFSS – which often is the only provider (or ... See full document
12
Nowcasting and forecasting US recessions: Evidence from the Super Learner
... used for both regression applications or classification problems, and it can handle large datasets. In the context of prediction, the Super Learner algorithm applies a set of candidate predic- tion algorithms— the base ... See full document
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Model Averaging in Markov Switching Models: Predicting National Recessions with Regional Data
... regional data improves the forecasting performance of the models compared with models using exclusively national ...best forecasting model in the out-of-sample exercise outperforms the ... See full document
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Forecasting U S Recessions with a Large Set of Predictors
... It is clear that adding real activity predictors (going from SP to SMALL) improves considerably short-term forecasts while it does not seem to have a large effect on the longer term horizons. This result is likely to ... See full document
24
Hysteresis in Unemployment: Panel Unit Roots Tests Using State Level Data
... computed using an asymptotic Chi-square ...The data were available monthly; so a lag length of 12 was ...selection using the Bartlett-Kernel ... See full document
8
Review on Financial Forecasting Using Neural Network and Data Mining Technique
... Is the process of identifying a set of common features and models that describe and distinguish data classes or concepts. The models are used to predict the class of objects whose class label is unknown. A bank, ... See full document
5
Groundwater level forecasting using Artificial Neural Network
... groundwater level. ANN is specifically used when a number of data are ...water level variations using only the external input variables, which have been identified as rainfall and ...levels ... See full document
5
Customer-Based Corporate Valuation: Modeling With Missing, Aggregated Data Summaries
... customer data can provide additional structure and dimension to future revenue ...sales data alone, which is the standard operating procedure for non-CBCV models, the resulting overall valuation forecasts ... See full document
145
What does the language of foods say about us?
... filtered using the same 7 meal- related ...location data with the names or postal abbreviations of the 50 US states ...tude/longitude data is converted into city, state, or country ... See full document
10
Memory of Recessions
... the data to speak on the issue of the effects of recession on potential ...the data, beating alternative specifications, such as that output was driven by longer term trends in which the switching was ... See full document
26
4X4 CIRCULAR PATCH PHASED ARRAY FOR AIRBORNE APPLICATIONS
... and data parameters very well in order to control the reservoir release water ...series forecasting river ...ANN using linear regression and discrete wavelet has the capability for understanding ... See full document
6
Determinants of Maternal Mortality: A Comparison of Geographic Differences in the Northern and Southern Regions of Cameroon
... Poor water quality is a risk factor for maternal mortality; the proportion of people with access to clean water provides insight into the health status of a population (Alvarez et al., 2009). Alvarez et al., (2009) found ... See full document
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