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Statements

Subject Item
n2:RIV%2F61989100%3A27510%2F13%3A86086961%21RIV14-MSM-27510___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
Leading indicators are potential carriers of signals of future changes in aggregate economic activity. They are mostly composed by means of empirical evidence found in development of aggregate time series. There is also a possibility to find their theoretical foundations by examining decisions of a representative firm in short run. The firm aims to minimize the producing costs for a given demand. The decisions involve change of employment, hours worked and stock of inventories according to the firm's expectations. The short run equilibrium is found by means of inter-temporal optimization. The evidence of lead is found by means of shock analysis. The reduced form equations are utilized for empirical tests using available macroeconomic time series for EU-27 countries. The results show mixed evidence. While for almost every country there is one leading indicator found, the indicators proved the lead in average less than in half cases. The conclusions imply the theory contains evidence of leading indicators, which can be found also in real aggregate macroeconomic time series. Leading indicators are potential carriers of signals of future changes in aggregate economic activity. They are mostly composed by means of empirical evidence found in development of aggregate time series. There is also a possibility to find their theoretical foundations by examining decisions of a representative firm in short run. The firm aims to minimize the producing costs for a given demand. The decisions involve change of employment, hours worked and stock of inventories according to the firm's expectations. The short run equilibrium is found by means of inter-temporal optimization. The evidence of lead is found by means of shock analysis. The reduced form equations are utilized for empirical tests using available macroeconomic time series for EU-27 countries. The results show mixed evidence. While for almost every country there is one leading indicator found, the indicators proved the lead in average less than in half cases. The conclusions imply the theory contains evidence of leading indicators, which can be found also in real aggregate macroeconomic time series.
dcterms:title
Rerepsentative firm’s decisions and leading indicators Rerepsentative firm’s decisions and leading indicators
skos:prefLabel
Rerepsentative firm’s decisions and leading indicators Rerepsentative firm’s decisions and leading indicators
skos:notation
RIV/61989100:27510/13:86086961!RIV14-MSM-27510___
n11:predkladatel
n12:orjk%3A27510
n3:aktivita
n18:S
n3:aktivity
S
n3:dodaniDat
n4:2014
n3:domaciTvurceVysledku
Kľúčik, Miroslav
n3:druhVysledku
n14:D
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
102486
n3:idVysledku
RIV/61989100:27510/13:86086961
n3:jazykVysledku
n15:eng
n3:klicovaSlova
leading indicators, economic theory, inter-temporal optimization
n3:klicoveSlovo
n7:inter-temporal%20optimization n7:leading%20indicators n7:economic%20theory
n3:kontrolniKodProRIV
[7EE1C981EEC4]
n3:mistoKonaniAkce
Jihlava
n3:mistoVydani
Jihlava
n3:nazevZdroje
Mathematical Methods in Economics 2013 : 31st international conference : 11-13 September 2013, Jihlava, Czech Republic
n3:obor
n8:AH
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n4:2013
n3:tvurceVysledku
Kľúčik, Miroslav
n3:typAkce
n19:WRD
n3:zahajeniAkce
2013-09-11+02:00
s:numberOfPages
6
n16:hasPublisher
College of Polytechnics Jihlava
n20:isbn
978-80-87035-76-4
n5:organizacniJednotka
27510