Sectoral Differences in Managerss Compensation: Insights from a Matching Model

2015 ◽  
Author(s):  
Emanuela Ciapanna ◽  
Marco Taboga ◽  
Eliana Viviano
Keyword(s):  
Matching Model ◽  
Sectoral Differences

The End of Multi-Fibre Arrangement and Firm Performance in the Textile Industry: New Evidence

2013 ◽  
Vol 52 (2) ◽  
pp. 97-126 ◽  
Author(s):  
Zara Liaqat
Keyword(s):  
Textile Industry ◽  
Manufacturing Industry ◽  
Firm Heterogeneity ◽  
Production Functions ◽  
Firm Level ◽  
Quality Ladders ◽  
Sectoral Differences ◽  
The Mean ◽  
New Evidence ◽  
Empirical Methodology

Using a sample of 321 textile and clothing companies for the years 1992 to 2010, this paper analyses the effect of quota phase-outs on firm-level efficiency in Pakistan following the end of the Multi-Fibre Arrangement (MFA). It highlights sectoral heterogeneity within the manufacturing industry as a result of MFA expiration. The empirical methodology uses the structural techniques proposed by Olley and Pakes (1996), and Levinsohn and Petrin (2003) in order to take care of endogeneity in the estimation of production functions. The results differ for the two industries: MFA expiration lead to an increase in the average productivity of textile producing firms but a significant reduction in the mean productivity of clothing producers. We offer a number of explanations for this outcome, such as a change in the input and product mix, entry by non-exporters in the clothing sector, and sectoral differences in quality ladders. A number of crucial policy lessons can be drawn from the findings of this study. JEL Classification:F13; F14; D24; C14; O19 Keywords: Multi-Fibre Arrangement, Trade Liberalisation, Productivity, Firm Heterogeneity, Simultaneity and Production Functions, Endogeneity of Protection

Rhythm Based Motion-Music Matching Model

2010 ◽  
Vol 22 (6) ◽  
pp. 990-996 ◽  
Author(s):  
Rukun Fan ◽  
Jing Fu ◽  
Silei Cheng ◽  
Xiang Zhang ◽  
Weidong Geng
Keyword(s):  
Matching Model

scholarly journals Regimes reloaded! A reappraisal of Schumpeterian patterns of innovation, 1977–2011

2021 ◽  
Author(s):  
Roberto Fontana ◽  
Arianna Martinelli ◽  
Alessandro Nuvolari
Keyword(s):  
Structural Properties ◽  
Technical Change ◽  
Research Agenda ◽  
Learning Processes ◽  
Empirical Literature ◽  
Industrial Dynamics ◽  
Innovation Studies ◽  
Technological Regimes ◽  
Sectoral Differences ◽  
Innovation Patterns

AbstractOne of the most significant results of the empirical literature on innovation studies of the 1980s and 1990s was that innovation patterns were characterized by important inter-sectoral differences. This finding prompted a lively research agenda that: i) provided empirical characterizations of sectoral patterns of innovation by means of taxonomic exercises; ii) sought to interpret sectoral patterns of innovation as emerging properties of underlying selection and learning processes reflecting the structural properties of technical change at sectoral level (“technological regimes”). In this paper, we reconsider one of the landmark works on technological regimes (e.g., Breschi et al. 2000), reassess its findings, and perform a quasi-replication of their its exercise. Our conclusion is that the proposed distinction between Schumpeterian patterns of innovation (Mark I vs. Mark II) and their interpretation in terms of technological regimes has still the promise of yielding important insights concerning on the connection between inventive activities and industrial dynamics.

scholarly journals A product form for the general stochastic matching model

2021 ◽  
Vol 58 (2) ◽  
pp. 449-468
Author(s):  
Pascal Moyal ◽  
Ana Bušić ◽  
Jean Mairesse
Keyword(s):  
Stationary Distribution ◽  
Product Form ◽  
Necessary Condition ◽  
Matching Model ◽  
Bipartite Matching ◽  
Compatibility Graph ◽  
Stochastic Matching ◽  
Dynamic Reversibility ◽  
Original Dynamic ◽  
Do So

AbstractWe consider a stochastic matching model with a general compatibility graph, as introduced by Mairesse and Moyal (2016). We show that the natural necessary condition of stability of the system is also sufficient for the natural ‘first-come, first-matched’ matching policy. To do so, we derive the stationary distribution under a remarkable product form, by using an original dynamic reversibility property related to that of Adan, Bušić, Mairesse, and Weiss (2018) for the bipartite matching model.

A prototype matching model of satisfaction in same-sex friendships

2017 ◽  
Vol 24 (3) ◽  
pp. 683-693 ◽  
Author(s):  
BEVERLEY FEHR ◽  
CHERYL HARASYMCHUK
Keyword(s):  
Same Sex ◽  
Matching Model ◽  
Prototype Matching
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