Relevant bibliographies by topics / Stochastic matching models

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Stochastic matching models'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Stochastic matching models"

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Dewilde, Patrick. "Stochastic models based on moment matching." Communications in Information and Systems 20, no. 2 (2020): 209–48. http://dx.doi.org/10.4310/cis.2020.v20.n2.a5.

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Hu, Lin Y., and Sandra Jenni. "History Matching of Object-Based Stochastic Reservoir Models." SPE Journal 10, no. 03 (2005): 312–23. http://dx.doi.org/10.2118/81503-pa.

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Mairesse, Jean, and Pascal Moyal. "Editorial introduction to the special issue on stochastic matching models, matching queues and applications." Queueing Systems 96, no. 3-4 (2020): 357–58. http://dx.doi.org/10.1007/s11134-021-09690-2.

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Comte, Céline. "Stochastic non-bipartite matching models and order-independent loss queues." Stochastic Models 38, no. 1 (2021): 1–36. http://dx.doi.org/10.1080/15326349.2021.1962352.

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Meszáros, András, János Papp, and Miklós Telek. "Fitting traffic traces with discrete canonical phase type distributions and Markov arrival processes." International Journal of Applied Mathematics and Computer Science 24, no. 3 (2014): 453–70. http://dx.doi.org/10.2478/amcs-2014-0034.

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Abstract Recent developments of matrix analytic methods make phase type distributions (PHs) and Markov Arrival Processes (MAPs) promising stochastic model candidates for capturing traffic trace behaviour and for efficient usage in queueing analysis. After introducing basics of these sets of stochastic models, the paper discusses the following subjects in detail: (i) PHs and MAPs have different representations. For efficient use of these models, sparse (defined by a minimal number of parameters) and unique representations of discrete time PHs and MAPs are needed, which are commonly referred to
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Pankov, Vikentii, and Oleg Granichin. "SPSA Algorithm for Matching of Historical Data for Complex Non-Gaussian Geological Models." Cybernetics and Physics, Volume 11, 2022, Number 1 (June 2, 2022): 18–24. http://dx.doi.org/10.35470/2226-4116-2022-11-1-18-24.

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History matching is the process of integrating dynamic production data in the reservoir model. It consists in estimation of uncertain model parameters such that oil or water production data from flow simulation become close to observed dynamic data. Various optimization methods can be used to estimate the model parameters. Simultaneous perturbation stochastic approximation (SPSA) is one of the stochastic approximation algorithms. It requires only two objective function measurements for gradient approximation per iteration. Also parameters estimated by this algorithm might converge to their tru
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Iwata, Tomoharu, Tsutomu Hirao, and Naonori Ueda. "Unsupervised Cluster Matching via Probabilistic Latent Variable Models." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 445–51. http://dx.doi.org/10.1609/aaai.v27i1.8558.

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We propose a probabilistic latent variable model for unsupervised cluster matching, which is the task of finding correspondences between clusters of objects in different domains. Existing object matching methods find one-to-one matching. The proposed model finds many-to-many matching, and can handle multiple domains with different numbers of objects. The proposed model assumes that there are an infinite number of latent vectors that are shared by all domains, and that each object is generated using one of the latent vectors and a domain-specific linear projection. By inferring a latent vector
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Zhou, Deng Rong, Jian Chun Gong, and Fang Ling Fan. "A Stochastic Resonance Phenomenon in Linear Models." Applied Mechanics and Materials 401-403 (September 2013): 1301–4. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1301.

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When there exist certain kinds of matching in an electric system between the nonlinear input and noise, amplifying the input noise may dramatically increase the output SNR other than decrease it. And stochastic resonance is a phenomenon that when noise is input at certain amplitude the output SNR reaches its peak. Generalized stochastic resonance is the kind of nonlinear phenomena that the output (output SNR, output mean value, etc.) is a non-monotonic function of some parameter of noise (amplitude, correlation time) or input (amplitude, frequency). We studied the phenomenon of stochastic reso
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Tsioulou, Alexandra, Alexandros A. Taflanidis, and Carmine Galasso. "Modification of stochastic ground motion models for matching target intensity measures." Earthquake Engineering & Structural Dynamics 47, no. 1 (2017): 3–24. http://dx.doi.org/10.1002/eqe.2933.

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Brignone, Riccardo, Ioannis Kyriakou, and Gianluca Fusai. "Moment-matching approximations for stochastic sums in non-Gaussian Ornstein–Uhlenbeck models." Insurance: Mathematics and Economics 96 (January 2021): 232–47. http://dx.doi.org/10.1016/j.insmatheco.2020.12.002.

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Dissertations / Theses on the topic "Stochastic matching models"

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Tsao, Yu. "An ensemble speaker and speaking environment modeling approach to robust speech recognition." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26540.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Lee, Chin-Hui; Committee Member: Anthony Joseph Yezzi; Committee Member: Biing-Hwang (Fred) Juang; Committee Member: Mark Clements; Committee Member: Ming Yuan. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Rahme, Youssef. "Stochastic matching model on the general graphical structures." Thesis, Compiègne, 2021. http://www.theses.fr/2021COMP2604.

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Motivé par des applications à large éventail des systèmes d’assemblage à la commande et des systèmes de l’économie collaborative, nous introduisons un modèle d’appariement aléatoire sur les hypergraphes et sur les multigraphes, étendant le modèle par Mairesse et Moyal 2016. Dans cette thèse, le modèle d’appariement aléatoire sur les structures graphiques générales est défini comme suit : étant donné une structure graphique générale de compatibilité S = (V; S) qui est constituée d’un ensemble de nœuds noté par V qui représentent les classes d’éléments et par un ensemble d’arêtes noté par S qui
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Begeot, Jocelyn. "Autour de la stabilité de différents modèles d'appariements aléatoires." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0201.

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Les modèles d'appariements aléatoires représentent de nombreux systèmes stochastiques concrets dans lesquels des éléments de différentes classes sont appariés selon des règles de compatibilités spécifiées. Par exemple, on peut citer les systèmes dédiés à l'allocation d'organes, les sites de recherche d'emplois, de logements, etc. De tels modèles sont toujours associés à un triptyque d'éléments : un graphe connexe, dit de compatibilités, dont les sommets représentent les classes des éléments pouvant entrer dans le systèmeet dont chaque arête relie deux classes compatibles, une politique d'appar
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Aliou, Diallo Aoudi Mohamed Habib. "Local matching algorithms on the configuration model." Electronic Thesis or Diss., Compiègne, 2023. http://www.theses.fr/2023COMP2742.

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Nous proposons une alternative à l’approche prévalente dans les algorithmes de mariage en ligne. Basés sur le choix d’un critère de mariage, nous construisons des algorithmes dits locaux. Ces algorithmes sont locaux dans le sens où chacun des individus est tour à tour soumis au critère de mariage choisi. Ce qui nous amène à démontrer que le nombre de sommets qui finissent mariés lorsque chaque individu adopte une stratégie prédéfinie est solution d’une équation différentielle ordinaire. Grâce à cette approche nous prédisons les performances et comparons deux algorithmes/stratégies. Pour émuler
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Fu, Jianlin. "A markov chain monte carlo method for inverse stochastic modeling and uncertainty assessment." Doctoral thesis, Universitat Politècnica de València, 2008. http://hdl.handle.net/10251/1969.

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Unlike the traditional two-stage methods, a conditional and inverse-conditional simulation approach may directly generate independent, identically distributed realizations to honor both static data and state data in one step. The Markov chain Monte Carlo (McMC) method was proved a powerful tool to perform such type of stochastic simulation. One of the main advantages of the McMC over the traditional sensitivity-based optimization methods to inverse problems is its power, flexibility and well-posedness in incorporating observation data from different sources. In this work, an improved version o
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Maman, Waziri Khalid. "A stochastic earnings frontier approach to investigating labour market failures." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0164/document.

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Cette thèse de doctorat examine les principales défaillances du marché du travail qui entraînent que les travailleurs n’arrivent pas à obtenir la pleine rémunération potentielle qui corresponde à leur capital humain. Il y a « inefficacité salariale » lorsque le salaire obtenu est inférieur au maximum atteignable. Dans un tel cas, les salariés reçoivent un salaire injuste par rapport au capital humain disposé. Cela décourage à investir dans son capital humain ce qui aura tendance à réduire la productivité totale, à affaiblir la compétitivité et à nuire à la croissance économique du pays. La con
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Chang, Sheng-chieh, and 張聲傑. "A Carpool Matching Model and Solution Algorithms under Stochastic Travel Times." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/80065308173483617182.

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碩士<br>國立中央大學<br>土木工程研究所<br>98<br>Respecting traffic volume has significantly grown and private cars become more popular than before in Taiwan. Therefore, carpool that enhances the car occupancy rate can not only relieve traffic congestion, but also reduce the travel cost which comes from the price of global petroleum going up, even save energy. As regards in Taiwan, carpool matching is manually performed by planning personnels with experience in current practice, without a systematic analysis. Such a manual approach is considered to be inefficient and ineffective. In other words, stochastic di
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Wu, Yi-siang, and 吳逸祥. "An Integrated Model and Solution Algorithms for Taxipool and Passenger Matching Problems under Stochastic Travel Times." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/34047263389215135662.

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碩士<br>國立中央大學<br>土木工程研究所<br>97<br>As the Taiwan urban areas’ traffic volume grew significantly, taxi becomes more popular than before in Taiwan. The low loading factor and use rate become an annoying problem, which should be resolved immediately. The taxipool plan can not only improve its operational performance, but can also relieve the traffic congestion problem. However, most taxi carriers currently use a trial-and-error process, in accordance with the projected taxi travel times, for taxipool matching, which is neither effective nor efficient. In other words, stochastic disturbances ari
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Book chapters on the topic "Stochastic matching models"

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Comte, Céline, and Jan-Pieter Dorsman. "Performance Evaluation of Stochastic Bipartite Matching Models." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91825-5_26.

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Busic, A., and J. M. Fourneau. "Stochastic Matching Model with Returning Items." In Computer Performance Engineering and Stochastic Modelling. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43185-2_13.

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Nakamura, Naoto, Shigeru Takano, and Yoshihiro Okada. "3D Model Search Using Stochastic Attributed Relational Tree Matching." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17829-0_33.

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Fourneau, Jean-Michel, and Moyi Yang. "Strong Aggregation in the Stochastic Matching Model with Random Discipline." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70753-7_2.

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Liang, Xue, and Yujuan Wu. "Sensitivity Analysis and Stochastic History Matching of Shale Gas Production Based on Embedded Discrete Fracture Model." In Proceedings of the International Field Exploration and Development Conference 2018. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7127-1_39.

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Goeree, Jacob K., Charles A. Holt, and Thomas R. Palfrey. "Quantal Response Equilibrium in Normal-Form Games." In Quantal Response Equilibrium. Princeton University Press, 2016. http://dx.doi.org/10.23943/princeton/9780691124230.003.0002.

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This chapter lays out the general theory of quantal response equilibrium (QRE) for normal-form games. It starts with the reduced-form approach to QR, based on the direct specification of “regular” quantal or smoothed best-response functions required to satisfy four intuitive axioms of stochastic choice. A simple asymmetric matching pennies game is used to illustrate these ideas and show that QRE imposes strong restrictions on the data, even without parametric assumptions on the quantal response functions. Particular attention is given to the logit QRE, since it is the most commonly used approa
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Conference papers on the topic "Stochastic matching models"

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Hu, Lin Y. "History Matching of Object-Based Stochastic Reservoir Models." In Middle East Oil Show. Society of Petroleum Engineers, 2003. http://dx.doi.org/10.2118/81503-ms.

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Schaaf, T., and B. Coureaud. "Joint Structural and Petrophysical History Matching of Stochastic Reservoir Models." In IOR 2009 - 15th European Symposium on Improved Oil Recovery. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.201404830.

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Stephen, K. D., and S. Arwini. "Improving Stochastic Inversion Methods in History Matching Using Proxy Models." In 12th European Conference on the Mathematics of Oil Recovery. EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20145008.

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Yang, Joonhyuk, and Hye Won Chung. "Graph Matching in Correlated Stochastic Block Models for Improved Graph Clustering." In 2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2023. http://dx.doi.org/10.1109/allerton58177.2023.10313461.

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Hollenbeck, Derek, and YangQuan Chen. "Digital Twin Behavior Matching of Gas Plumes Using a Fixed Sensor Mesh and Dynamic Mode Decomposition." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-70708.

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Abstract Digital twins (DT) have become a useful tool in smart manufacturing, engineering and controls. Behavior matching of DTs to their physical twin counterparts is essential for capturing the evolution of key system parameters. Given that environmental gas emissions are governed by partial differential equations, the behavior matching optimization can often be ill posed and computationally expensive. Stochastic models have shown good agreement to deterministic models while having a significant computational cost reduction. This work presents a method for solving the source localization pro
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Schaaf, Thomas, Bertrand Coureaud, and Francois Louis Labaune. "Joint Structural and Petrophysical History Matching Leads to Global Geological Stochastic Reservoir Models." In EUROPEC/EAGE Conference and Exhibition. Society of Petroleum Engineers, 2009. http://dx.doi.org/10.2118/121899-ms.

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Jenni, Sandra, Lin Y. Hu, Remy Basquet, Ghislain de Marsily, and Bernard Bourbiaux. "History Matching of Stochastic Models of Field-Scale Fractures: Methodology and Case Study." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2004. http://dx.doi.org/10.2118/90020-ms.

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Ezra, Tomer, Michal Feldman, Nick Gravin, and Zhihao Gavin Tang. "Online Stochastic Max-Weight Matching: Prophet Inequality for Vertex and Edge Arrival Models." In EC '20: The 21st ACM Conference on Economics and Computation. ACM, 2020. http://dx.doi.org/10.1145/3391403.3399513.

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Al-Turki, Ali, Obai Alnajjar, Majdi Baddourah, and Babatunde Moriwawon. "Compressed Dimension of Reservoir Models Uncertainty Parameters for Optimized Model Calibration and History Matching Process." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206066-ms.

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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 reservoi
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Avalos, Javier, Lanae A. Richter, X. Q. Wang, Raghavendra Murthy, and Marc P. Mignolet. "Stochastic Modal Models of Slender Uncertain Curved Beams Preloaded Through Clamping." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71169.

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This paper addresses the stochastic modeling of the stiffness matrix of slender uncertain curved beams that are forced fit into a clamped-clamped fixture designed for straight beams. Because of the misfit with the clamps, the final shape of the clamped-clamped beams is not straight and they are subjected to an axial preload. Both of these features are uncertain given the uncertainty on the initial, undeformed shape of the beams and affect significantly the stiffness matrix associated with small motions around the clamped-clamped configuration. A modal model using linear modes of the straight c
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Reports on the topic "Stochastic matching models"

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Chen, Xin, Yanfeng Ouyang, Ebrahim Arian, Haolin Yang, and Xingyu Ba. Modeling and Testing Autonomous and Shared Multimodal Mobility Services for Low-Density Rural Areas. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-013.

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Recent developments in transformative technologies hold the promise to provide holistic solutions for affordable transportation services to rural areas and thus greatly alleviate existing social inequality through efficient planning and management of complex transportation systems and systemwide interactions among multiple modes. To realize the promise, many challenging research questions need to be addressed, which often leads to computationally intractable, large-scale, dynamic/stochastic, discrete optimization models. This project proposes to address some of the challenges by building a ser
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Aliprantis, Dionissi, Daniel R. Carroll, and Eric R. Young. The Dynamics of the Racial Wealth Gap. Federal Reserve Bank of Cleveland, 2022. http://dx.doi.org/10.26509/frbc-wp-201918r.

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What drives the dynamics of the racial wealth gap? We answer this question using a dynamic stochastic general equilibrium heterogeneous-agents model. Our calibrated model endogenously produces a racial wealth gap matching that observed in recent decades along with key features of the current cross-sectional distribution of wealth, earnings, intergenerational transfers, and race. Our model predicts that equalizing earnings is by far the most important mechanism for permanently closing the racial wealth gap. One-time wealth transfers have only transitory effects unless they address the racial ea
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Finkelstein-Shapiro, Alan, and Miguel Sarzosa. Unemployement Protection for Informal Workers in Latin America and the Caribbean. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0011470.

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We use a dynamic stochastic general equilibrium search and matching model with salaried employment and informal self-employment to analyze the implications of introducing universal unemployment protection for informal workers through transfers, which are conditional on participation in training programs. We study how changes in unemployment benefits (UB) for unemployed workers in training programs (training UB), modify labor market outcomes for the unemployed. The model suggests that increasing training UB reduces unprotected unemployment and improves labor market outcomes through higher forma
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