Constructing a composite coincident indicator for a post-transition country

Bakarić, Ivana Rašić; Tkalec, Marina; Vizek, Maruška

doi:10.1080/1331677x.2016.1174388

Cited by 10 publications

(8 citation statements)

References 35 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The coincident index for the unobserved state of the economy has often been used in the study of the business cycle, for example, by Stock and Watson (1989); Kim and Nelson (1998);Altissimo. et al (2001); Aruoba, Diebold, and Scotti (2009); OECD (2010) and Bakarić, Tkalec, and Vizek (2016). The idea behind the coincident indicator is that many macroeconomic variables comove with a single unobserved variable called the state of the economy.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating Cambodia’s Economic Conditions by Dynamic Factor Model

2020

Asian Journal of Economics and Empirical Research

View full text Add to dashboard Cite

Section: Literature Reviewmentioning

confidence: 99%

Estimating Cambodia’s Economic Conditions by Dynamic Factor Model

2020

Asian Journal of Economics and Empirical Research

View full text Add to dashboard Cite

“…Also, other authors and companies bring a new perspective to assess the performance of countries, and they create other indicators regarding how to measure the performance, for example the Net Economic Welfare, Prosperity Index, Better Life Index, Genuine Progress Indicator, among others. Rašić Bakarić, Tkalec and Vizek (2016) have constructed a monthly coincident indicator of real economic activity in Croatia, which covers 15 important sectors of economy classified as prices of industrial products, consumer prices, industrial production, construction, trade, tourism, unemployment, employment, gross wages, net wages, capital market, monetary statistics, fiscal indicators, international series/statistics and foreign trade.…”

Section: Theoretical Background and Literature Overviewmentioning

confidence: 99%

Performance evaluation of the Visegrad Group countries

Ivanová

Masárová

2018

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

The objective of economic success is not only to achieve positive developments in economic indicators, but to ensure a high living standard and quality of life for the population. It is therefore necessary to measure economic success in terms of social and socio-economic indicators, which indicate the quality of life of the population. A relevant indicator of economic development and economic performance is the gross domestic product (GDP) per capita. Although this indicator is the most widely used, it has recently been subject to a wave of criticism. Therefore it is necessary to evaluate the economic success, taking into account other variables, which in themselves imply social indicators: net economic welfare, Human Development Index (HDI), Index of Competitiveness, Index of Economic Freedom (IEF), Prosperity Index, Corruption Perception Index and others. The subject of this article is to evaluate the economic performance of the Visegrad Group countries using GDP per capita and selected socioeconomic indicators. We use the method of time series analysis to examine the development of selected indicators. To compare their development we use the method of comparison, and to formulate the findings we use the method of synthesis. In order to evaluate the performance of the Visegrad countries we use scoring method. JEL CLASSIFICATIONSF14; F62; o11; o12 ARTICLE HISTORY

show abstract

“…Bakarić et al reported on the example of Croatia's approach to generating CCI for this post transitive economy, while analyzing 278 monthly time series, of which only four are entering into the final CCI. Their article applies a combination of Markov switching modeling, logit and dynamic factor modeling in order to measure the business cycle condition for a European post-transition country [47]. Business cycle analysis in Croatia focused either on constructing a non-model based CCI, as in case of Cerovac or on constructing a quarterly composite index [48,49].…”

Section: Composite Indicatormentioning

confidence: 99%

The Composite Coincident Indicator (CCI) for Business Cycles

2018

APH

View full text Add to dashboard Cite

The aim of this paper is to introduce a composite coincident indicator for the Slovak economic cycle. The theoretical part of the work is concentrated on the analysis of current monitoring options of economic cycle using GDP, industrial production index and composite indicators. The analytical part of the work pays attention to authors' own composite coincident indicator and to testing its monitoring capabilities. Methodology used in this paper is a combination of the methodologies by the OECD, Conference Board and the authors of this paper. Such methods as seasonally adjusted time series, Hodrick-Prescott filter, standardization and cross-correlations are used as applied to 134 indicators of Slovak economy. Coincident cyclic indicators are selected from them, as they form the basis for Slovak composite coincident indicator. The resulting coincident composite indicator for Slovakia is made up of four indicatorsemployment in manufacturing, export of goods and services, the number of hours worked in industry and industrial turnover. The assembled indicator is then tested over time and a need for change in its composition as a result of significant economic changes is grounded. Significant changes in the composition of coincident cyclical indicator for 2010 are also proved. For the period of 2010-2015 a new composite coincident indicator is suggested of the composition of production index in the construction industry, a factor limiting production -insufficient demand, unemployment in the age group of 25-74 y.o. and short-term interest rate.

show abstract

Constructing a composite coincident indicator for a post-transition country

Cited by 10 publications

References 35 publications

Estimating Cambodia’s Economic Conditions by Dynamic Factor Model

Estimating Cambodia’s Economic Conditions by Dynamic Factor Model

Performance evaluation of the Visegrad Group countries

The Composite Coincident Indicator (CCI) for Business Cycles

Contact Info

Product

Resources

About