Relevant bibliographies by topics / Non-life insurance

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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Academic literature on the topic 'Non-life insurance'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Non-life insurance"

1

Carroll, Patrick, and E. Straub. "Non-Life Insurance Mathematics." Journal of the Royal Statistical Society. Series A (Statistics in Society) 153, no. 2 (1990): 262. http://dx.doi.org/10.2307/2982815.

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Drissi, Ramzi, and Emtinan Alsuhaibani. "Asymmetric effects of life and non-life insurance on economic growth in Saudi Arabia: A nonlinear analysis." Insurance Markets and Companies 15, no. 2 (2024): 26–34. http://dx.doi.org/10.21511/ins.15(2).2024.03.

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This paper explores the asymmetric effects of life and non-life insurance on economic growth in Saudi Arabia. Quarterly data on insurance penetration rates and GDP growth from 2009 to 2022, obtained from the Global Economy, Saudi Arabian Monetary Authority, and World Bank databases, are utilized. A nonlinear autoregressive distributed lag (NARDL) model is employed to examine the relationships between insurance and growth. The results reveal a significant and asymmetric relationship between life insurance penetration and GDP growth. Specifically, a 1% increase in life insurance penetration is a
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Abusharbeh, Mohammed, Sana’ Atari, and Assem Atallah. "The determinants of non-life insurance spending: Evidence from Arab economies." Insurance Markets and Companies 16, no. 1 (2025): 54–63. https://doi.org/10.21511/ins.16(1).2025.05.

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Non-life insurance has grown in developing countries over the past decade, despite challenges and large differences in premiums across Arab countries. This study investigates the effect of cultural factors on non-life insurance spending in Arab countries using panel data covering the period from 2010 to 2023. Eight independent variables were employed. They are uncertainty avoidance, individualism, power distance, masculinity, long-term orientation, indulgence, income per capita and interest rate. The results of the study prove that uncertainty avoidance positively influences spending on non-li
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Witkowska, Justyna. "The Life and Non-Life Insurance Market in the European Union." Olsztyn Economic Journal 18, no. 2 (2023): 157–70. http://dx.doi.org/10.31648/oej.10290.

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The article discussed on the situation of the life and non-life insurance market in the European Union as seen at the end of 2022. The market analysis was based on data derived from the European Insurance and Occupational Pensions Authority (EIOPA) and the Organization for Economic Cooperation and Development (OECD) and included such factors as the number of insurers, the division into life insurance and non-life insurance, and the key market indicators (written premium, density and penetration rates, and concentration index). The collected data shows the life and non-life insurance market in
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Schmidli, Hanspeter. "Optimisation in Non-Life Insurance." Stochastic Models 22, no. 4 (2006): 689–722. http://dx.doi.org/10.1080/15326340600878420.

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Ms., Gurjeet Kaur. "FINANCIAL PERFORMANCE OF INDIAN INSURANCE COMPANIES USING RATIO ANALYSIS." International Journal of Marketing & Financial Management 2, no. 9 (2014): 16–20. https://doi.org/10.5281/zenodo.10806927.

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<strong>Abstract</strong> <em>The objective of this paper is to compare the financial performance of public and private life and non-life insurance companies with the help of solvency ratio. The major life insurance companies are Life Insurance Corporation of India, Bajaj Allianz Life Insurance Company, HDFC Standard Life Insurance Company, ICICI Prudential Life Insurance Company and Birla Sunlife Insurance Company Limited. The major non-life insurance companies are National Insurance Company Limited,</em> <em>ICICI Lombard General Insurance Company Limited, Royal Sundaram Alliance Insurance C
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Lemaire, Jean, and G. C. Taylor. "Claims Reserving in Non-Life Insurance." Journal of Risk and Insurance 55, no. 2 (1988): 396. http://dx.doi.org/10.2307/253338.

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Buchwalder, Markus, Hans Bühlmann, Michael Merz, and Mario V. Wüthrich. "Valuation portfolio in non-life insurance." Scandinavian Actuarial Journal 2007, no. 2 (2007): 108–25. http://dx.doi.org/10.1080/03461230701251455.

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Meyers, Glenn, and G. C. Taylor. "Claim Reserving in Non-Life Insurance." Journal of the American Statistical Association 82, no. 397 (1987): 362. http://dx.doi.org/10.2307/2289204.

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Ruohonen, Matti. "Non-Life Insurance Mathematics (Erwin Straub)." SIAM Review 32, no. 1 (1990): 184–85. http://dx.doi.org/10.1137/1032031.

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Dissertations / Theses on the topic "Non-life insurance"

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Yamazato, Makoto. "Non-life Insurance Mathematics." Pontificia Universidad Católica del Perú, 2014. http://repositorio.pucp.edu.pe/index/handle/123456789/96535.

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In this work we describe the basic facts of non-life insurance and then explain risk processes. In particular, we will explain in detail the asymptotic behavior of the probability that an insurance product may end up in ruin during its lifetime. As expected, the behavior of such asymptotic probability will be highly dependent on the tail distribution of each claim.<br>En este artículo describimos los conceptos básicos relacionados a seguros que no sean de vida y luego explicamos procesos de riesgo. En particular, tratamos al detalle el comportamiento asintótico de la probabilidad de que un pro
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Arvidsson, Hanna, and Sofie Francke. "Dependence in non-life insurance." Thesis, Uppsala University, Department of Mathematics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-120621.

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Hagsjö, Renberg Oscar, and Oscar Hermansson. "Large claims in non-life insurance." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215492.

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It is of outmost importance for an insurance company to apply a fair pricing policy. If the price is too high, valuable customers are lost to other insurance companies while if it’s too low – it nets a negative profit. To achieve a good pricing policy, information regarding claim size history for a given type of customer is required. A problem arises as large extremal events occur and affects the claim size data. These extremal events take shape in individually large claim sizes that by themselves can alter the distribution for what certain groups of individuals are expected to cost. A remedy
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Barnholdt, Jacob, and Josefin Grafford. "Predicting Large Claims within Non-Life Insurance." Thesis, KTH, Matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-228983.

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This bachelor thesis within the field of mathematical statistics aims to study the possibility of predicting specifically large claims from non-life insurance policies with commercial policyholders. This is done through regression analysis, where we seek to develop and evaluate a generalized linear model, GLM. The project is carried out in collaboration with the insurance company If P&amp;C Insurance and most of the research is conducted at their headquarters in Stockholm. The explanatory variables of interest are characteristics associated with the policyholders. Due to the scarcity of large
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Chitiyo, Fadzai Chitiyo. "Demand for non-life insurance: Evidence from select insurance markets in Africa." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27402.

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The impact of insurance market activity within financial development is gaining more attention in academia, as the sector experiences growth within emerging markets. This paper aims to understand which macro-economic and social variables impact the growth or decline of the non-life insurance sector broadly across Africa, with a view to provide recommendations to drive increased penetration across the region. The study examines the explanatory factors of non-life insurance demand in Africa, using annual data from 1990 to 2013 on 28 countries. Using Fixed Effects Panel Data Regression, the study
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Villaume, Erik. "Predicting customer level risk patterns in non-life insurance." Thesis, KTH, Matematisk statistik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103590.

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Several models for predicting future customer profitability early into customer life-cycles in the property and casualty business are constructed and studied. The objective is to model risk at a customer level with input data available early into a private consumer’s lifespan. Two retained models, one using Generalized Linear Model another using a multilayer perceptron, a special form of Artificial Neural Network are evaluated using actual data. Numerical results show that differentiation on estimated future risk is most effective for customers with highest claim frequencies.
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Khan, Sheza Ally. "Determinants of the non life Insurance performance : the portuguese case." Master's thesis, Instituto Superior de Economia e Gestão, 2015. http://hdl.handle.net/10400.5/9091.

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Mestrado em Finanças<br>Esta dissertação tem como objetivo estudar os efeitos da crise financeira de 2008 no setor segurador não vida e determinar quais as variáveis que influenciam a rentabilidade das seguradoras não vida em Portugal, para o período compreendido entre 2004 e 2013. Para alcançar este objetivo, após revisão da literatura foi feita uma análise financeira ao setor segurador não vida e, através de duas regressões lineares, estudaram-se as variáveis que explicam o comportamento do desempenho financeiro. Os dados necessários para a realização deste estudo foram recolhidos na ASF -
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Gschlössl, Susanne. "Hierarchical Bayesian spatial regression models with applications to non-life insurance." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=978924576.

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Björkwall, Susanna. "Stochastic claims reserving in non-life insurance : Bootstrap and smoothing models." Doctoral thesis, Stockholms universitet, Matematiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-55347.

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In practice there is a long tradition of actuaries calculating reserve estimates according to deterministic methods without explicit reference to a stochastic model. For instance, the chain-ladder was originally a deterministic reserving method. Moreover, the actuaries often make ad hoc adjustments of the methods, for example, smoothing of the chain-ladder development factors, in order to fit the data set under analysis. However, stochastic models are needed in order to assess the variability of the claims reserve. The standard statistical approach would be to first specify a model, then find
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Hahn, Lukas [Verfasser]. "Quantitative assessment of multi-year non-life insurance risk / Lukas Hahn." Ulm : Universität Ulm, 2019. http://d-nb.info/119313966X/34.

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Books on the topic "Non-life insurance"

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Straub, Erwin. Non-life insurance mathematics. 2nd ed. Springer, 1997.

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Mikosch, Thomas. Non-Life Insurance Mathematics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88233-6.

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Straub, Erwin. Non-Life Insurance Mathematics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-03364-7.

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Actuaries, Association of Swiss, ed. Non-life insurance mathematics. Springer-Verlag, 1988.

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Tiopianco, Cesario P. New insurance reviewer: Life & non-life. National Book Store, 1986.

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Sundt, Bjørn. An introduction to non-life insurance mathematics. 3rd ed. VVW, 1993.

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Japan. Japanese insurance laws and Japanese non-life insurance agency contract forms. The Non-Life Insurance Institute of Japan, 1986.

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Ohlsson, Esbjörn, and Björn Johansson. Non-Life Insurance Pricing with Generalized Linear Models. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10791-7.

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Songai Hoken Jigyō Kenkyūjo (Japan), ed. Insurace business law: Law concerning non-life insurance rating organizations : excerpts : unofficial translation. Non-Life Insurance Institute of Japan, 1996.

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Gao, Guangyuan. Bayesian Claims Reserving Methods in Non-life Insurance with Stan. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3609-6.

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Book chapters on the topic "Non-life insurance"

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Ohlsson, Esbjörn, and Björn Johansson. "Non-Life Insurance Pricing." In EAA Lecture Notes. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10791-7_1.

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Cipra, Tomas. "Classical Non-Life Insurance." In Financial and Insurance Formulas. Physica-Verlag HD, 2010. http://dx.doi.org/10.1007/978-3-7908-2593-0_21.

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Maggioni, Massimiliano, and Giuseppe Turchetti. "Non-Life Insurance: Pricing." In Springer Texts in Business and Economics. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-319-52851-9_11.

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Maggioni, Massimiliano, and Giuseppe Turchetti. "Non-Life Insurance: Reserving." In Springer Texts in Business and Economics. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-319-52851-9_12.

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Straub, Erwin. "Problems." In Non-Life Insurance Mathematics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-03364-7_1.

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Straub, Erwin. "Tools." In Non-Life Insurance Mathematics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-03364-7_2.

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Straub, Erwin. "Premiums." In Non-Life Insurance Mathematics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-03364-7_3.

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Straub, Erwin. "Reinsurance." In Non-Life Insurance Mathematics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-03364-7_4.

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Straub, Erwin. "Retentions." In Non-Life Insurance Mathematics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-03364-7_5.

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Straub, Erwin. "Statistics." In Non-Life Insurance Mathematics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-03364-7_6.

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Conference papers on the topic "Non-life insurance"

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A.Salem Alghusin, Nawaf, and Hamad A.Kasasbeh. "The Drivers of Demand for Non-Life Insurance." In 2nd International Conference on Advanced Research in Business, Management and Economics. GLOBALKS, 2019. http://dx.doi.org/10.33422/2nd.icabme.2019.12.885.

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ACATRINEI, Marius, Adriana AnaMaria DAVIDESCU, Laurentiu Paul BARANGA, Razvan Gabriel HAPAU, and George CALIN. "Supervised Learning Algorithms for Non-Life SCR Ratio Forecasting." In The International Conference on Economics and Social Sciences. Editura ASE, 2024. http://dx.doi.org/10.24818/icess/2024/057.

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The solvency is measured by the Solvency Capital Requirement (SCR). This study seeks to determine the best financial ratios to forecast SCR because it is significant. There is seasonality, data jumps, and shifts in insurance indicators, which make prediction of SCR difficult. Different machine learning algorithms are applied to the insurance market in this research to see how well they can describe and predict the SCR ratio. Gaussian process regression, ensemble methods, regression decision trees, stepwise regression, and neural networks were used as supervised learning techniques to find the
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Stepchenko, Darja, and Irina Voronova. "Investigation Of Insurance Company Financial Stability: Case Of Baltic Non-Life Insurance Market." In The 8th International Scientific Conference "Business and Management 2014". Vilnius Gediminas Technical University Publishing House Technika, 2014. http://dx.doi.org/10.3846/bm.2014.042.

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Yap, Shen, Hui-Shan Lee, and Ping-Xin Liew. "THE INTEGRATION OF LIFE AND NON-LIFE INSURANCE IN FINANCIAL INCLUSION INDEX." In 16th Economics & Finance Conference, Prague. International Institute of Social and Economic Sciences, 2022. http://dx.doi.org/10.20472/efc.2022.016.016.

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Ng, S., D. Lestari, and S. Devila. "Generalized linear model for deductible pricing in non-life insurance." In PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5132465.

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Samsudin, Humaida Banu. "Failure factors in non-life insurance companies in United Kingdom." In PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Research in Mathematical Sciences: A Catalyst for Creativity and Innovation. AIP, 2013. http://dx.doi.org/10.1063/1.4801258.

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Đukić, Jelena, Živorad Ristić, and Jelena Doganjić. "THE RELATIONSHIP BETWEEN THE DIGITAL MATURITY AND EFFICIENY OF SERBIAN NON-LIFE INSURERS: EXPLORATORY RESEARCH." In XXIII simpozijum sa međunarodnim učešćem Veštačenje saobraćajnih nezgoda i prevare u osiguranju. BBN Congress Management, Beograd, 2024. https://doi.org/10.46793/xxiiivestacenje.250dj.

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In line with the global trend towards digitization and the evolving needs and preferences of customers, insurance companies are progressively incorporating digital technology into their daily operations. This digital transformation aims to enhance operational efficiency and offer additional benefits to insurance companies. Consequently, the primary objective of this work is to assess the current level of digital maturity among domestic insurance companies engaged in non-life insurance, as well as to evaluate their efficiency.
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Nastase, Adriana. "Calculation models of net risk premiums for RCA insurance contracts." In International Scientific-Practical Conference "Economic growth in the conditions of globalization". National Institute for Economic Research, 2023. http://dx.doi.org/10.36004/nier.cecg.iii.2023.17.34.

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Starting from the fundamental role of insurance, that of providing protection by the insurer to the person interested in concluding an insurance contract (the insured) in exchange for the insurance premium (insurance price), advanced mathematical models have been developed for the appropriate determination of the insurance price. In Romania, RCA insurance is one of the most regulated insurances due to the importance it occupies from the point of view of the volume of gross premiums subscribed. In the total of gross premiums written in Romania, both general and life insurance, RCA insurance hol
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Chin-Huang Lin, Ho-Li Yang, and Dian-Yan Liou. "Service innovation efficiency evaluation on non-life insurance industry in Taiwan." In 2007 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 2007. http://dx.doi.org/10.1109/ieem.2007.4419533.

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Jovanović, Slobodan. "Specificities of concert cancellation insurance." In Employment, Education and Entrepreneurship 2024. Faculty of Business Economics and Entrepreneurship, 2024. https://doi.org/10.5937/eee24066j.

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Music industry generates revenue through various mediums and communication channels, with concerts being another profitable way to sell music and entertainment. Planning, organizing and holding concerts requires adequate time, contacts, necessary contracts, permits and consents, thus determining costs types and amount incurred by the promoter in case of concert cancellation. This paper analyzes the features of this insurance as a means of economic protection for concert promoters against the financial loss in case of concert cancellation and the risk of performers absence or nonappearance. Spe
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Reports on the topic "Non-life insurance"

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De Donder, Philippe, Marie-Louise Leroux, and François Salanié. Advantageous selection without moral hazard. CIRANO, 2022. http://dx.doi.org/10.54932/nqvt3458.

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Advantageous (or propitious) selection occurs when an increase in the premium of an insurance contract induces high-cost agents to quit, thereby reducing the average cost among remaining buyers. Hemenway (1990) and many subsequent contributions motivate its advent by differences in risk-aversion among agents, implying different prevention efforts. We argue that it may also appear in the absence of moral hazard, when agents only differ in riskiness and not in (risk) preferences. We first show that profit-maximization implies that advantageous selection is more likely when markup rates and the e
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Keane, Claire, Anousheh Alamir, Frances McGinnity, Richard O'Shea, and Helen Russell. Child Related Leave: Usage and Implications for Gender Equality. ESRI, 2024. https://doi.org/10.26504/jr12.

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Child-related leave can have important implications for parents and children. Increases in leave duration and benefits reduces the likelihood of parents developing depressive symptoms, have been found to improve maternal and child health, and links have been found between generous maternity leave benefits and reductions in child mortality. Child-related leave policy also has a role to play in the gender income gap, which often starts after the birth of a child. It can protect the employment relationship for mothers and assist them in returning to a job of the same level and pay. It can also al
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