2006
DOI: 10.2139/ssrn.1689552
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The Patterns and Determinants of Price Setting in the Belgian Industry

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 128 publications
(15 citation statements)
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References 62 publications
(29 reference statements)
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“…The first modification, underlined by, for example, Eichenbaum and Fisher (), introduces real rigidities, which help to reconcile the New Keynesian model with microevidence on the frequency of price adjustment. The second modification is consistent with empirical studies of the degree of synchronization in price setting (see, e.g., Cornille and Dossche ).…”
Section: The Full Modelsupporting
confidence: 87%
See 1 more Smart Citation
“…The first modification, underlined by, for example, Eichenbaum and Fisher (), introduces real rigidities, which help to reconcile the New Keynesian model with microevidence on the frequency of price adjustment. The second modification is consistent with empirical studies of the degree of synchronization in price setting (see, e.g., Cornille and Dossche ).…”
Section: The Full Modelsupporting
confidence: 87%
“…In contrast, considerable synchronization is typically found at low levels of aggregation. Using Belgian producer price data, Cornille and Dossche () find that for about 80% of the product categories at the NACE four‐digit level, the FK index lies between 0.25 and 0.75 . Thus, there is a considerable degree of synchronization within individual markets.…”
mentioning
confidence: 99%
“…For instance, the frequency of consumer price change depends on the variability of input prices (Hoffmann and Kurz-Kim (2006)) and differences in the cost structure help explain differences in the degree of producer price flexibility (Álvarez, Burriel, and Hernando (2005a) and Cornille and Dossche (2006)), a result also found with survey data Hernando (2005, 2007)). Specifically, the share of labour costs in variable costs negatively affects the frequency of price change -given that wages do not change often-, whereas the share of costs of intermediate goods in variable costs has a positive impact.…”
Section: Distribution Of Price Durationsmentioning
confidence: 74%
“…However, as the estimation procedure is particularly time consuming, 15 the estimation has only been conducted on a subset of randomly selected product categories, with price trajectories of at least 20 months. 16 As a result we end up estimating our baseline model for 98 product 13 " is now four times larger as ! while in the preceding exercise, " was one half of !…”
Section: Estimation Resultsmentioning
confidence: 99%