2017
DOI: 10.22630/aspe.2017.16.1.06
|View full text |Cite
|
Sign up to set email alerts
|

The Technology Shock and the Polish Food Sector Markups

Abstract: The aim of the paper is to investigate an impact of a technology shock on a market power exerted in the Polish food industry, measured by monopolistic markups calculated based on a labor input margin with developments, as well as the Roeger markup, in the period 2002–2013. A structural vector auto regression model (SVAR) with productivity and hours in the Polish economy, and markups, was built. It was assumed that in the long-term only technology shock influences productivity, whereas shocks in markup… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 13 publications
0
1
0
Order By: Relevance
“…The two-step system GMM estimator is preferred because it estimates the dynamic panel and the difference equations as a system, thus accounting for both time series and cross-sectional variations in the dataset(Blundell & Bond, 1998).22 Kufel (2016) supported that markup ratios are significantly influenced by various market factors such as market structure or competitive conduct. Therefore, if capital earnings represent the earnings of the richest 1%, overpricing decisions are strongly associated with the widening gap of income inequality.23 Moreover, markup ratios may vary according to market conditions and the degree of price stickiness due to endogenous price setting dynamics.…”
mentioning
confidence: 99%
“…The two-step system GMM estimator is preferred because it estimates the dynamic panel and the difference equations as a system, thus accounting for both time series and cross-sectional variations in the dataset(Blundell & Bond, 1998).22 Kufel (2016) supported that markup ratios are significantly influenced by various market factors such as market structure or competitive conduct. Therefore, if capital earnings represent the earnings of the richest 1%, overpricing decisions are strongly associated with the widening gap of income inequality.23 Moreover, markup ratios may vary according to market conditions and the degree of price stickiness due to endogenous price setting dynamics.…”
mentioning
confidence: 99%