Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

The topic of this chapter is forecasting with nonlinear models. First, a number of well-known
nonlinear models are introduced and their properties discussed. These include the smooth …

We assess the performance of an index of Google job-search intensity as a leading indicator
for predicting the monthly US unemployment rate. We carry out a deep out-of-sample …

We suggest the use of an Internet job-search indicator (the Google Index, GI) as the best
leading indicator to predict the US unemployment rate. We perform a deep out-of-sample …

Unemployment has always been a very focused issue causing a nation as a whole to lose
its economic and financial contribution. Unemployment rate prediction of a country is a …

The grey model is characterized by basic mathematics and a need for less raw data, but it
also lacks the flexibility to adjust the model to increase the precision for the forecasting …

In this paper, are explored and analyzed time series and machine learning models for
prediction of unemployment in several countries (Med, Baltic, Balkan, Nordic, Benelux) for …

Unemployment is an essential problem for develo** countries, which has a direct and
major role in economy of a country. Understanding the pattrens of unemployment rate is …

Unemployment has risen as the economy has shrunk. The coronavirus crisis has affected
many sectors in Romania, some companies diminishing or even ceasing their activity …

This article tests the power of a novel indicator based on job search related web queries in
predicting quarterly unemployment rates in short samples. Augmenting standard time series …