Several authors have shown better results in forecasting economic variables by considering the sentiment values in their models. Few studies have focused on the identification of the causes which explain opinions and beliefs. In this paper, we propose a methodological framework based on Distributed Lag (DL) models in order to identify dynamic causal effects in the case of temporal aggregation of sentiment values
We review the literature on the Autoregressive Distributed Lag (ARDL) model, from its origins in the...
It is often believed that the consumer sentiment index has predictive power for future consumption l...
In Estimating of distributed Lag Model, it is obtained inexistence of permanent hold about length ma...
Several authors have shown better results in forecasting economic variables by considering the sent...
A wide variety of economic models includes expectational variables among the list of variables deter...
The digitalization of news and social media provides an unprecedented source to investigate the role...
The aim of this bachelor thesis is to unite the theory about distribu- ted lag models and autoregres...
We examine a problem that is confronted frequently by political science researchers seeking to model...
The primary objective of this dissertation was to demonstrate the usefulness of a relatively new tec...
It is often believed that the consumer sentiment index has predictive power for future consumption l...
AbstractSentiment analysis or opinion mining is the process of computationally identifying and categ...
It is often believed that the consumer sentiment index has predictive power for future consumption l...
Distributed lag models are of importance when it is believed that a covariate at time t, say Xt, cau...
Sentiment analysis predicts a one-dimensional quantity describing the positive or negative emotion o...
AbstractDistributed lag models are a type of dynamic econometric model often used in demand analysis...
We review the literature on the Autoregressive Distributed Lag (ARDL) model, from its origins in the...
It is often believed that the consumer sentiment index has predictive power for future consumption l...
In Estimating of distributed Lag Model, it is obtained inexistence of permanent hold about length ma...
Several authors have shown better results in forecasting economic variables by considering the sent...
A wide variety of economic models includes expectational variables among the list of variables deter...
The digitalization of news and social media provides an unprecedented source to investigate the role...
The aim of this bachelor thesis is to unite the theory about distribu- ted lag models and autoregres...
We examine a problem that is confronted frequently by political science researchers seeking to model...
The primary objective of this dissertation was to demonstrate the usefulness of a relatively new tec...
It is often believed that the consumer sentiment index has predictive power for future consumption l...
AbstractSentiment analysis or opinion mining is the process of computationally identifying and categ...
It is often believed that the consumer sentiment index has predictive power for future consumption l...
Distributed lag models are of importance when it is believed that a covariate at time t, say Xt, cau...
Sentiment analysis predicts a one-dimensional quantity describing the positive or negative emotion o...
AbstractDistributed lag models are a type of dynamic econometric model often used in demand analysis...
We review the literature on the Autoregressive Distributed Lag (ARDL) model, from its origins in the...
It is often believed that the consumer sentiment index has predictive power for future consumption l...
In Estimating of distributed Lag Model, it is obtained inexistence of permanent hold about length ma...