منابع مشابه
Forecasting GDP Growth Using ANN Model with Genetic Algorithm
Applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. Artificial Neural Networks (ANN) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. Most ANN models applied in Economics use the gradient descent method as their learning algorithm. However, t...
متن کاملMeasuring Economic Growth from Outer Space.
GDP growth is often measured poorly for countries and rarely measured at all for cities or subnational regions. We propose a readily available proxy: satellite data on lights at night. We develop a statistical framework that uses lights growth to augment existing income growth measures, under the assumption that measurement error in using observed light as an indicator of income is uncorrelated...
متن کاملPredicting Recessions: Forecasting US GDP Growth through Supervised Learning
Machine learning algorithms have gained much popularity in finance, where the abundance of training examples and high-frequency sampling rates produce datasets that are amenable to successful regression. In macroeconomics, however, where data is scarce and sampling rates are far lower, learning algorithms have not been extensively explored, and even within the sparse literature success has been...
متن کاملForecasting New Zealand’s Real GDP
Recent time series methods are applied to the problem of forecasting New Zealand’s real GDP. Model selection is conducted within autoregressive (AR) and vector autoregressive (VAR) classes, allowing for evolution in the form of the models over time. The selections are performed using the Schwarz (1978) BIC and the Phillips-Ploberger (1996) PIC criteria. The forecasts generated by the data-deter...
متن کاملforecasting gdp growth using ann model with genetic algorithm
applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. artificial neural networks (ann) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. most ann models applied in economics use the gradient descent method as their learning algorithm. however, t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Oxford Bulletin of Economics and Statistics
سال: 2020
ISSN: 0305-9049,1468-0084
DOI: 10.1111/obes.12361