Match Quality, Contractual Sorting and Wage Cyclicality

2017 ◽  
Author(s):  
Giovanni Gallipoli ◽  
Joao Galindo da Fonseca ◽  
Yaniv Yedid-Levi
Keyword(s):  
Match Quality ◽  
Wage Cyclicality

scholarly journals Unemployment Fluctuations, Match Quality, and the Wage Cyclicality of New Hires

2016 ◽  
Author(s):  
Mark Gertler ◽  
Christopher Huckfeldt ◽  
Antonella Trigari
Keyword(s):  
Match Quality ◽  
Wage Cyclicality ◽  
New Hires

scholarly journals Unemployment Fluctuations, Match Quality, and the Wage Cyclicality of New Hires

2020 ◽  
Vol 87 (4) ◽  
pp. 1876-1914 ◽  
Author(s):  
Mark Gertler ◽  
Christopher Huckfeldt ◽  
Antonella Trigari
Keyword(s):  
Job Search ◽  
Marginal Cost ◽  
Market Volatility ◽  
Match Quality ◽  
Composition Effects ◽  
Reasonable Approximation ◽  
Job Match ◽  
Wage Cyclicality ◽  
Sticky Wages ◽  
New Hires

Abstract We revisit the issue of the high cyclicality of wages of new hires. We show that after controlling for composition effects likely involving procyclical upgrading of job match quality, the wages of new hires are no more cyclical than those of existing workers. The key implication is that the sluggish behaviour of wages for existing workers is a better guide to the cyclicality of the marginal cost of labour than is the high measured cyclicality of new hires wages unadjusted for composition effects. Key to our identification is distinguishing between new hires from unemployment versus those who are job changers. We argue that to a reasonable approximation, the wages of the former provide a composition-free estimate of the wage flexibility, while the same is not true for the latter. We then develop a quantitative general equilibrium model with sticky wages via staggered contracting, on-the-job search, and heterogeneous match quality, and show that it can account for both the panel data evidence and aggregate evidence on labour market volatility.

scholarly journals Does Online Search Improve the Match Quality of New Hires?

2021 ◽  
pp. 101981
Author(s):  
Nicole Gürtzgen ◽  
Benjamin Lochner ◽  
Laura Pohlan ◽  
Gerard J. van den Berg
Keyword(s):  
Online Search ◽  
Match Quality ◽  
New Hires

scholarly journals Evolving Wage Cyclicality in Latin America

2016 ◽  
pp. lhw046
Author(s):  
Luca Gambetti ◽  
Julián Messina
Keyword(s):  
Latin America ◽  
Wage Cyclicality

Compressed Dimension of Reservoir Models Uncertainty Parameters for Optimized Model Calibration and History Matching Process

2021 ◽  
Author(s):  
Ali Al-Turki ◽  
Obai Alnajjar ◽  
Majdi Baddourah ◽  
Babatunde Moriwawon
Keyword(s):  
Model Calibration ◽  
History Matching ◽  
Fine Tuning ◽  
Global History ◽  
Match Quality ◽  
History Match ◽  
Matching Process ◽  
Reservoir Models ◽  
Field Level ◽  
Well Level

Abstract The algorithms and workflows have been developed to couple efficient model parameterization with stochastic, global optimization using a Multi-Objective Genetic Algorithm (MOGA) for global history matching, and coupled with an advanced workflow for streamline sensitivity-based inversion for fine-tuning. During parameterization the low-rank subsets of most influencing reservoir parameters are identified and propagated to MOGA to perform the field-level history match. Data misfits between the field historical data and simulation data are calculated with multiple realizations of reservoir models that quantify and capture reservoir uncertainty. Each generation of the optimization algorithms reduces the data misfit relative to the previous iteration. This iterative process continues until a satisfactory field-level history match is reached or there are no further improvements. The fine-tuning process of well-connectivity calibration is then performed with a streamlined sensitivity-based inversion algorithm to locally update the model to reduce well-level mismatch. In this study, an application of the proposed algorithms and workflow is demonstrated for model calibration and history matching. The synthetic reservoir model used in this study is discretized into millions of grid cells with hundreds of producer and injector wells. It is designed to generate several decades of production and injection history to evaluate and demonstrate the workflow. In field-level history matching, reservoir rock properties (e.g., permeability, fault transmissibility, etc.) are parameterized to conduct the global match of pressure and production rates. Grid Connectivity Transform (GCT) was used and assessed to parameterize the reservoir properties. In addition, the convergence rate and history match quality of MOGA was assessed during the field (global) history matching. Also, the effectiveness of the streamline-based inversion was evaluated by quantifying the additional improvement in history matching quality per well. The developed parametrization and optimization algorithms and workflows revealed the unique features of each of the algorithms for model calibration and history matching. This integrated workflow has successfully defined and carried uncertainty throughout the history matching process. Following the successful field-level history match, the well-level history matching was conducted using streamline sensitivity-based inversion, which further improved the history match quality and conditioned the model to historical production and injection data. In general, the workflow results in enhanced history match quality in a shorter turnaround time. The geological realism of the model is retained for robust prediction and development planning.

Young mentors’ relationship capacity: Parent–child connectedness, attitudes toward mentees, empathy, and perceived match quality

2017 ◽  
Vol 36 (2) ◽  
pp. 642-658 ◽  
Author(s):  
Jennifer L. Doty ◽  
Lindsey M. Weiler ◽  
Christopher J. Mehus ◽  
Barbara J. McMorris
Keyword(s):  
Youth Development ◽  
Current Knowledge ◽  
Theoretical Concept ◽  
Mentoring Relationships ◽  
Match Quality ◽  
Relational Capacity ◽  
School Based Mentoring ◽  
Using Data ◽  
The Relationship ◽  
Parent Child

Because the responsibility of developing strong connections to mentees often depends on mentors themselves, examining mentor qualities and relational capacity may identify malleable factors—or potential points of intervention—to improve perceived match quality. Relational capacity has been proposed as a theoretical concept for understanding how mentors’ previous experience, characteristics, and skills relate to mentoring quality. Our conceptual model posited that parent–child relationships build young mentors’ relational capacity for successful mentoring relationships. Using data from young mentors age 15–26 participating in the Big Brothers/Big Sisters school-based mentoring program ( n = 155), this study extends current knowledge by examining potential mediators of the relationship between young mentors’ perceived parent–child connectedness and perceived match quality. Attitudes toward mentees and empathy skills mediated the relationship between parent–child connectedness and perceived match quality. Findings suggest that parent–child connectedness contributes to attitudes and skills that may strengthen perceived match quality. From a positive youth development perspective, young mentors with low relational capacity may require support to ensure high-quality matches.

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