In our analysis we examine articles dealing with the subject of debt queues and how they changed over time as well as their context. The data used is derived from the online content analysis software Textplore (http://textplore.org/) developed by IEER. In our database there are 607 articles from 2002 or later which contains at least one of the terms ("debt queue", "debt circle" or "late payment") and appears in one of the following portals: fn.hu, hetivalasz.hu, hir24.hu, hvg.hu, index.hu, mno.hu, origo.hu, vg.hu.

At the end of 2014 and into 2015 we often experienced in the online media news about the growth of the real estate market. This gave us the idea to examine articles related to the housing market and how they are related to developments in the real estate market. The data is based on the online content analysis software Textplore developed by the IEER (http://textplore.org/).

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The estimate of IEER expects the number of registered job seekers to decrease by about 27 thousand people in May 2014.

Online media monitoring can be used to predict investment activity. A new study by the IEER assessed the feasibility of this. The analysis - based on more than 12 thousand articles containing words related to investing - identified those types of articles that will help most in order to forecast investments, and within this the development of private sector investments. In addition to abstract articles on legal topics, articles from origo.hu and vg.hu in this respect deserve special attention.

IEER estimate expects the number of registered job seekers to increase by about 4 thousand people in April 2014. Taking only the seasonal process into account would suggest a decrease of about 10-30 thousand. However there was no seasonal increase observable in the beginning of the winter season as usual (from November to January). This makes understandable the lack of seasonal decrease now.

The IEER have been preparing forecasts of registered job-seekers for several months. In the last three months we have noticed that the forecasts have begun to show larger estimation errors than normal and as expected. For a quick analysis, we set as a goal to demonstrate this phenomenon and investigate its possible causes. Our goal was to explore the causes and, where possible, to find how we can improve forecasting accuracy.

The IEER estimates that in January 2014 the number of registered job seekers is expected to increase by about 52 thousand people. This increase is greater than what would be the seasonal effect.

The IEER estimates that in December 2013 the number of registered job seekers is expected to increase by some 1.6 thousand people. Based on seasonally adjusted data, we estimate a 6.8 thousand person increase in the number of registered jobseekers as compared to the level in November.

Paper written for the CIRET 2012 conference

The purpose of our study is to find an answer to how real economic processes and their online media representation are connected, that is, whether the economic crisis of 2008-2009 has generally changed the way how Hungarian journalists use economic terms and expressions and whether a learning procedure has begun of a more informed and proficient form of journalism about economic processes.

Based on our analysis we can state that the occurrence of economic terms in connection with economic policy, foreign trade, companies and the crisis contain a break in the trend at the start of the crisis. We can say that because of the crisis the word usage rates within the above word groups increased significantly – except in the case of the foreign trade group, where it fell.

We can also say that knowledge of the occurrence of the economic policy, credit, macroeconomy, financial market, company and crisis word groups provide additional information to estimate industrial sales about a month in advance as compared to if we only use the previous two values of the time series for our estimation.

Paper written for the CIRET 2012 conference

In this paper we attempt to examine the applicability of Google Insights for Search in terms of household consumption, retail sale trends, and the nowcasting of car sales in Hungary. There have been several successful attempts to use Google data in a similar way, usually in connection with U.S. economic indicators. Our goal, however, is an analysis of consumption indicators on the basis of Internet search in a country where Internet penetration is lagging behind that of the U.S. and Western Europe.