7 research outputs found
Why the determinacy condition is a weak criterion in rational expectations models
This paper disputes what Blanchard and Kahn have reported as the solution of linear rational expectation(RE) systems many years ago. Their method leads to traditional determinacy condition which is used very much nowadays. In this paper we have a new look to the mathematical procedure of this solution method and the main problem in their solution will be shown. We introduce a new methodology for modeling the systems with expectation, while in future this way of modeling can be used to replace traditional RE models.Rational expectation; Determinacy condition; Stability; Uniqueness; Predictive control
emojiSpace: Spatial Representation of Emojis
In the absence of nonverbal cues during messaging communication, users
express part of their emotions using emojis. Thus, having emojis in the
vocabulary of text messaging language models can significantly improve many
natural language processing (NLP) applications such as online communication
analysis. On the other hand, word embedding models are usually trained on a
very large corpus of text such as Wikipedia or Google News datasets that
include very few samples with emojis. In this study, we create emojiSpace,
which is a combined word-emoji embedding using the word2vec model from the
Genism library in Python. We trained emojiSpace on a corpus of more than 4
billion tweets and evaluated it by implementing sentiment analysis on a Twitter
dataset containing more than 67 million tweets as an extrinsic task. For this
task, we compared the performance of two different classifiers of random forest
(RF) and linear support vector machine (SVM). For evaluation, we compared
emojiSpace performance with two other pre-trained embeddings and demonstrated
that emojiSpace outperforms both.Comment: 5 pages, 5 table
Why the determinacy condition is a weak criterion in rational expectations models
This paper disputes what Blanchard and Kahn have reported as the solution of linear rational expectation(RE) systems many years ago. Their method leads to traditional determinacy condition which is used very much nowadays. In this paper we have a new look to the mathematical procedure of this solution method and the main problem in their solution will be shown. We introduce a new methodology for modeling the systems with expectation, while in future this way of modeling can be used to replace
traditional RE models
A predictive multi-agent approach to model systems with linear rational expectations
Expectation formation plays a principal role in economic systems. We examine and revise the standard rational expectations (RE) model, generally taken as the best paradigm for expectations modelling, and suggest a new method to model rational expectations. Conventional conditions that assert the stability and uniqueness of popular solution methods are shown to be insufficient. The agent-based new modelling approach suggested in this paper will be shown to lead to uniquely stable solutions
A predictive multi-agent approach to model systems with linear rational expectations
Expectation formation plays a principal role in economic systems. We examine and revise the standard rational expectations (RE) model, generally taken as the best paradigm for expectations modelling, and suggest a new method to model rational expectations. Conventional conditions that assert the stability and uniqueness of popular solution methods are shown to be insufficient. The agent-based new modelling approach suggested in this paper will be shown to lead to uniquely stable solutions