Relevant bibliographies by topics / Causal relationship

Contents

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

Academic literature on the topic 'Causal relationship'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Causal relationship"

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Barukčić, Ilija. "Causal relationship k." International Journal of Mathematics Trends and Technology 66, no. 10 (2020): 76–115. https://doi.org/10.5281/zenodo.4167492.

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<strong>Objectives:</strong> Analyzing experimental data in basic and clinical pharmacology and other research areas for cause effect relationships requires appropriate statistical methods too. <strong>Methods:</strong> The axiom <em>lex identitatis</em> or <strong>+ 1 = +1</strong> was the foundation of a hypothetico-deductive method used to describe <em>the relationship between a cause and an effect</em> by the tools of <em>probability theory</em>. Let p(U<sub>t</sub>) denote the probability of a quantum mechanical observable, a random variable U<sub>t</sub> (a cause) <em>at a single</em> <e
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Barukciˇ c, Ilija. "Causal relationship k." International Journal of Mathematics Trends and Technology 66, no. 10 (2020): 76–115. http://dx.doi.org/10.14445/22315373/ijmtt-v66i10p512.

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Barukčić, Ilija. "The causal relationship k." MATEC Web of Conferences 336 (2021): 09032. http://dx.doi.org/10.1051/matecconf/202133609032.

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Aim: A detailed and sophisticated analysis of causal relationships and chains of causation in medicine, life and other sciences by logically consistent statistical meth¬ods in the light of empirical data is still not a matter of daily routine for us. Methods: In this publication, the relationship between cause and effect is characterized while using the tools of classical logic and probability theory. Results: Methods how to determine conditions are developed in detail. The causal rela-tionship k has been derived mathematically from the axiom +1 = +1. Conclusion: Non-experimental and experimen
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Bourrat, Pierrick. "Measuring Causal Invariance Formally." Entropy 23, no. 6 (2021): 690. http://dx.doi.org/10.3390/e23060690.

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Invariance is one of several dimensions of causal relationships within the interventionist account. The more invariant a relationship between two variables, the more the relationship should be considered paradigmatically causal. In this paper, I propose two formal measures to estimate invariance, illustrated by a simple example. I then discuss the notion of invariance for causal relationships between non-nominal (i.e., ordinal and quantitative) variables, for which Information theory, and hence the formalism proposed here, is not well suited. Finally, I propose how invariance could be qualifie
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Verina, Galina V. "Causal relationship and other causal dependences in careless crimes." Current Issues of the State and Law, no. 3 (2022): 322–30. http://dx.doi.org/10.20310/2587-9340-2022-6-3-322-330.

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Introduction: in modern realities, the criminal law concept of the necessary causation ceases to be universal, which causes serious concern for scientists and initiates cognitive processes in this legal space. The raised set of scientific and applied issues, due, among other things, to the rapid development of digitalization and artificial intelligence, the integration of new technologies in all spheres of life, accumulates the most important theoretical and applied problem of cause-and-effect relationship and other causal dependencies between a socially dangerous act and a socially dangerous
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TAKEUCHI, Kei. "CAUSAL RELATIONSHIP AND STATISICAL METHOD." Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 14, no. 1 (1986): 85–90. http://dx.doi.org/10.2333/jbhmk.14.85.

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Lai, Tzu-Hsien. "Correlation, Confounding and Causal Relationship." Headache: The Journal of Head and Face Pain 51, no. 9 (2011): 1450. http://dx.doi.org/10.1111/j.1526-4610.2011.01891.x.

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SERDIUK, V. P., YE V. SERDIUK, A. L. TERESHCHENKO, and O. O. FAST. "CAUSAL RELATIONSHIP IN AVIATION EVENTS." Scientific Journal of Public and Private Law, no. 5 (2022): 166–72. http://dx.doi.org/10.32844/2618-1258.2022.5.27.

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M, NITHISHWAR, SANTHOSH G, and FATHIMA BASHEERA M. "A causal relationship between diabetes mellitus and depression." World Journal of Biology Pharmacy and Health Sciences 15, no. 3 (2023): 011–17. https://doi.org/10.5281/zenodo.10703408.

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In today&rsquo;s modern world depression has become a common stress factor among both men and women irrespective of age. But to be specific, it has been found that there is a strong relationship between diabetes and depression. The rate of this relationship seems to be higher and much literature suggests us the numbers could be increasing in the future. Depression in diabetes may arise due to some factors such as comorbidities, improper management of blood glucose level, patient&rsquo;s financial status in managing the conditions can precipitate depression. Other physiological factors like the
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Dong, Zhiliang, Yanjing Jia, Ziyang Wang, and Qiaoran Yang. "Research on the Quantitative Causal Transmission of Stock Price Fluctuations of Listed Companies in the Rare Earth Industry Chain." International Journal of Energy Research 2023 (October 27, 2023): 1–28. http://dx.doi.org/10.1155/2023/6667221.

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Rare earth is an important strategic mineral resource, and the study of the causes of stock price fluctuations of rare earth listed companies and their transmission can enable all parties in the market to have a clearer understanding of current market relationships. In this study, the quantitative causality analysis model and complex network method are used to analyze each link within the rare earth industry chain and the relationship between regions from the quantitative causality of stock price fluctuations among listed companies in the rare earth industry. The main transmission paths of flu
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Dissertations / Theses on the topic "Causal relationship"

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Jiménez-Leal, William. "The relationship between causal and counterfactual reasoning." Thesis, University of Warwick, 2008. http://wrap.warwick.ac.uk/3334/.

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This thesis represents a contribution to the study of causal and counterfactual reasoning. In six experiments, the relationship between causal selection and counterfactual reasoning and selection is directly investigated. The results support the conclusion that causal contingency information is available for both causal and counterfactual judgements, and that its availability interacts with task demands. Specifically, causal and counterfactual selections were found to depend on the specificity of the description of the outcomes (Experiments 1 to 3). Furthermore, when considering causal chains,
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Cevirgen, Banu. "The Causal Relationship Between Energy Consumption And Economic Growth." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12609973/index.pdf.

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The causal relationship between energy consumption and economic growth has been a controversial subject of the empirical literature. However, there is no common consensus neither on the existence nor on the direction of the causal relationship between energy consumption and economic growth. The purpose of this study is to investigate the causal relationship between energy consumption and economic growth using a consistent data set. Recently developed Granger causality tests in panel data models are used to uncover the existence and direction of causality between energy consumption economic gro
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Britton, Gary. "The relationship between causal constructs related to obsessive-compulsive disorder." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/40521/.

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Obsessive-Compulsive Disorder (OCD) is characterised by intrusions into conscious thinking by repetitive, personally abhorrent, absurd and alien thoughts (obsessions) which lead to endless repetitive acts or rehearsal of irrational and sometimes bizarre mental and behavioural rituals (compulsions). Although a number of clinical constructs have been proposed to have a causal influence on OC symptoms, extremely little research exists examining how these constructs are related to each other and, further, how the relationships between these constructs influences each constructs relationship with O
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Bilgiç, Emrah. "Causal relationship between Foreign Direct Investment and Economic Growth in Turkey." Thesis, University of Skövde, School of Technology and Society, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-137.

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<p>Although there is a considerable evidence on the link between Foreign Direct Investment (FDI) and economic growth in developing countries, the causal relationship of these two variables still remains an important question. This study attempts to examine the possible causal relationship between FDI and economic growth in Turkey, during the period 1992 (Quarter 2) – 2006 (Quarter 3). We employed the Johansen Cointegration and Granger Causality tests for detecting the long run or short run causality. Our results showed that there is no long run relationship between the variables, which led us
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Tirivavi, Austin Muchafa. "Causal relationship between financial development and economic growth : theory and evidence." Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252221.

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Moreano, Giovanna. "Relationship between academic self-concept, causal attribution for success and raílure." Pontificia Universidad Católica del Perú, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/99571.

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Relationship between academic self-concept, causal attribution for success and raílure, and academic achievement in pre-adolescents. This study shows the relationship between the variables mentioned above in 284 primary school students in Lima (5"' aI)d 6"' grades). The Self Description Questionnaire (SDQ-I) and the Sydney Attribution Scale (SAS) were applied with a previous validation process. Mathematics and Language final grades were assumed as academic achievement indicators. SAS exploratory factorial analysis showed five factors, tbree of them demonstrated that children do not discriminat
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Hagerty, Nicholas L. "Bayesian Network Modeling of Causal Relationships in Polymer Models." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1619009432971036.

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Wichman, Aaron L. "The relationship between chronically and temporarily accessible causal uncertainty and responses to related stimuli." Columbus, Ohio : Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1132350654.

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Pirralha, André. "The relationship between political participation and life satisfaction: causal and contextual analysis." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/374237.

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Is there a relationship between political participation and individual life satisfaction? The idea that political participation makes people more satisfied with their lives has long been debated. However, the existing empirical research has not been very successful in demonstrating that such a relationship exists while some studies show that instead it is individual life satisfaction that impacts political participation. This dissertation focuses on the issue of causality between political participation and individual life satisfaction. The first three articles are dedicated to assert whether
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Taspinar, Aytac. "Causal Relationship between export and economic growth : The Poland and Sweden Case." Thesis, Halmstad University, School of Business and Engineering (SET), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4109.

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Books on the topic "Causal relationship"

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Li, Jiuyong, Lin Liu, and Thuc Duy Le. Practical Approaches to Causal Relationship Exploration. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14433-7.

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Farmer, Jane. Continuing professional development and career success: Is there a causal relationship? British Library Research and Innovation Centre, 1998.

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Gholami, Roghieh. The causal relationship between information and communication technology and foreign direct investment. United Nations University, World Institute for Development Economics Research, 2003.

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Auinger, Florian. The Causal Relationship between the S&P 500 and the VIX Index. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08969-6.

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Fell, John P. C. In search of a causal relationship between industrial output and employment in Ireland. Central Bank of Ireland, 1989.

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Eldridge, Scott A. The relationship between outcome expectancies and causal attributions of male intercollegiate soccer players. Microform Publications, College of Human Development and Performance, University of Oregon, 1987.

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Denis, Akankunda Bwesigye. An assessment of the causal relationship between poverty and HIV/AIDS in Uganda. Economic Policy Research Centre (EPRC), 2007.

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Cho, Ch'ung-je. The causal relationship between trade and FDI: Implication for India and East Asian countries. KIEP (Korea Institute for International Economic Policy), 2013.

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Hewitt, Anthea. Causal modelling of the relationship between attributional style, coping and suicidal behaviour: A comparative study. University of Portsmouth, 2002.

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Dithurbide, Lori. Examining the mediating effects of team-referent causal attributions on the team performance and collective efficacy relationship. Brock University, Faculty of Applied Health Sciences, 2007.

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Book chapters on the topic "Causal relationship"

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Horimoto, Katsuhisa. "Causal Relationship." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_391.

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Skodvin, Tora. "Causal Relationship: Real or Spurious?" In Advances in Global Change Research. Springer Netherlands, 2000. http://dx.doi.org/10.1007/0-306-48168-5_8.

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Li, Jiuyong, Lin Liu, and Thuc Duy Le. "Causal Rule Discovery with Cohort Studies." In Practical Approaches to Causal Relationship Exploration. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14433-7_5.

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Arwatchanakarn, Popkarn, and Akhand Akhtar Hossain. "Empirical Relationship Among Money, Output and Prices in Thailand." In Causal Inference in Econometrics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27284-9_30.

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Li, Jiuyong, Lin Liu, and Thuc Duy Le. "Causal Rule Discovery with Partial Association Test." In Practical Approaches to Causal Relationship Exploration. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14433-7_4.

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Li, Jiuyong, Lin Liu, and Thuc Duy Le. "Introduction." In Practical Approaches to Causal Relationship Exploration. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14433-7_1.

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Li, Jiuyong, Lin Liu, and Thuc Duy Le. "Local Causal Discovery with a Simple PC Algorithm." In Practical Approaches to Causal Relationship Exploration. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14433-7_2.

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Li, Jiuyong, Lin Liu, and Thuc Duy Le. "A Local Causal Discovery Algorithm for High Dimensional Data." In Practical Approaches to Causal Relationship Exploration. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14433-7_3.

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Li, Jiuyong, Lin Liu, and Thuc Duy Le. "Experimental Comparison and Discussions." In Practical Approaches to Causal Relationship Exploration. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14433-7_6.

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Asesh, Aishwarya. "Causal Inference - Time Series." In Digital Interaction and Machine Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11432-8_4.

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AbstractDetecting causation in observational data is a difficult task. Identifying the causative direction, coupling delay, and causal chain linkages from time series may be used to find causal relationships. Three issues must be addressed when inferring causality from time series data: resilience to noisy time series, computing efficiency and seamless causal inference from high-dimensional data. The research aims to provide empirical evidence on the relationship of Marvel Cinematic Universe (MCU) movies and marvel comic book sales using Fourier Transforms and cross-correlation of two time ser
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Conference papers on the topic "Causal relationship"

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Ghoorchian, Mina, Hamid Soltanian-Zadeh, Mir Mohsen Pedram, and Mohsen Mir Mohammad Sadeghi. "Relationship of IQ with Causal Connections Between Brain Salient Network Regions." In 2024 31st National and 9th International Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2024. https://doi.org/10.1109/icbme64381.2024.10895800.

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Qiao, Hai-Bo, Yan-Ning Sun, Li-Lan Liu, Zeng-Gui Gao, Yong Yang, and Hong-Wei Xu. "Industrial Time Series Data-Driven Causal Delay Relationship Analysis for Complex Industrial Processes." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711654.

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Yoon, Seong-Su, Dong-Hyuk Shin, and Ieck-Chae Euom. "DeepICS: Deep Causal Relationship Modeling for Multi-Source Log-Based Anomaly Detection in Industrial Control Systems." In 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S). IEEE, 2025. https://doi.org/10.1109/dsn-s65789.2025.00069.

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Sumikawa, Yasunobu. "Event Causal Relationship Retrieval." In WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence. ACM, 2021. http://dx.doi.org/10.1145/3486622.3493936.

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Huang, Hao. "Causal Relationship over Knowledge Graphs." In CIKM '22: The 31st ACM International Conference on Information and Knowledge Management. ACM, 2022. http://dx.doi.org/10.1145/3511808.3557818.

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Cheng, Yu-Chin, Chien-Hung Chen, Chung-Chih Chiang, Jun-Wei Wang, and Chi-Sung Laih. "Generating Attack Scenarios with Causal Relationship." In 2007 IEEE International Conference on Granular Computing. IEEE, 2007. http://dx.doi.org/10.1109/grc.2007.117.

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Cheng, Yu-Chin, Chien-Hung Chen, Chung-Chih Chiang, Jun-Wei Wang, and Chi-Sung Laih. "Generating Attack Scenarios with Causal Relationship." In 2007 IEEE International Conference on Granular Computing (GRC 2007). IEEE, 2007. http://dx.doi.org/10.1109/grc.2007.4403126.

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Zhong, Runze, and Xinmei Zhang. "Causal Inference and Causal Relationship Identification of Machine Learning in Econometrics." In 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS). IEEE, 2023. http://dx.doi.org/10.1109/iciics59993.2023.10421189.

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Koedinger, Kenneth R., Elizabeth A. McLaughlin, Julianna Zhuxin Jia, and Norman L. Bier. "Is the doer effect a causal relationship?" In LAK '16: 6th International Conference on Learning Analytics and Knowledge. ACM, 2016. http://dx.doi.org/10.1145/2883851.2883957.

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Miao, Yuan. "Modelling dynamic causal relationship in fuzzy cognitive maps." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891648.

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Reports on the topic "Causal relationship"

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James, Richard J. E., Hyungseo Kim, Lucy Hitcham, and Richard J. Tunney. Causal inference methods in gambling research. Greo Evidence Insights, 2023. https://doi.org/10.33684/2024.004.

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The purpose of this project was to review and utilise methods from other disciplines in the social sciences in order to be able make stronger causal claims using crosssectional gambling data such as gambling prevalence studies. We focused on the question of whether there is a causal relationship between specific gambling products and individual gambling harms, specifically problem gambling. There has been an existing literature that has looked at this issue, but fails to control for selection biases on engagement with specific gambling behaviours. We reviewed and used three approaches: propens
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Kneale, Dylan, James Thomas, Mukdarut Bangpan, Hugh Waddington, and David Gough. Causal chain analysis in systematic reviews of international development interventions. Centre for Excellence and Development Impact and Learning (CEDIL), 2018. http://dx.doi.org/10.51744/cip4.

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Understanding the extent to which an intervention ‘works’ can provide compelling evidence to decision-makers, although without an accompanying explanation of how an intervention works, this evidence can be difficult to apply in other settings, ultimately impeding its usefulness in making judicious and evidence-informed decisions. In this paper, we describe causal chain analysis as involving the development of a logic model, which outlines graphically a hypothesis of how an intervention leads to a change in an outcome. This logic model is then used to anchor subsequent decisions in the systemat
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Anwar, Ahm Mehbub, Mohammad Al Telmesani, and Abdulrahman Alwosheel. Understanding the Causal Nexus Between Saudi’s Seaborne Trade and Economy and Quantifying the Relationship. King Abdullah Petroleum Studies and Research Center, 2024. http://dx.doi.org/10.30573/ks--2024-dp50.

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An economy’s primary objective is to foster high economic growth, ultimately enhancing the well-being of its citizens. Recent economic strategies have increasingly emphasized trade-oriented policies to achieve this goal.
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Tello, Mario D., Daniel Sebastian Tello-Trillo, and Pablo Enrique Rojas Lara. Productivity and Market Power: The Case of Manufacturing Firms of Peru 2002-2019. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013470.

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This paper uses seven standard market power indicators (price-cost margin, and six drawn upon the production approach) to estimate the effect market power on the rate of change of total factor productivity for a sample of formal manufacturing firms of Peru for the period 2002-2019. After applying exogeneity tests and implementing panel data with fixed effects instrumental variable method, the results are not clear about the causal relationship between market power and firms' TFP. However, when the Double-Debiased machine learning (DML) causal method is applied for fixed effects panel data with
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Rossi, Martín, and Martín Gonzalez-Eiras. The Impact of Electricity Sector Privatization on Public Health. Inter-American Development Bank, 2007. http://dx.doi.org/10.18235/0011286.

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This paper uses provincial-level data for Argentina to test for the causal relationship between electricity distribution and health. It examines the impact of privatization on two output measures: incidence of low birth weight and child mortality rates caused by food poisoning. Privatization improves service coverage which, through the use of refrigerators, may improve nutritional intake. Privatization also results in a reduction in the frequency of interruptions, and thus may reduce the likelihood of food poisoning. Though the evidence indicates that privatization reduced the frequency of low
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Weitz-Shapiro, Rebecca, and Matthew S. Winters. Political Participation and Quality of Life. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0010892.

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Theoretical literatures on procedural utility and the psychological benefits of political participation suggest that people who participate in political activities will be more satisfied with their lives because of the resulting feelings of autonomy, competence and relatedness. Individual-level data from Latin America showin one dataset under study but not in anothera positive and statistically significant relationship between voting and life satisfaction. Variation in desire to vote as measured in Costa Rica, however, suggests that the causal arrow may run from happiness to voting. The use of
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García-Lembergman, Ezequiel, Ina Hajdini, John Leer, Mathieu Pedemonte, and Raphael Schoenle. The Expectations of Others. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013191.

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Using a novel dataset that integrates inflation expectations with information on social network connections, we show that inflation expectations within one's social network have a positive, causal relationship with individual inflation expectations. This relationship is stronger for groups that share common demographic characteristics such as gender, income, or political affiliation and when salient information disseminates through the network. In a monetary union New-Keynesian model, socially determined inflation expectations induce imperfect risk-sharing and can affect the inflation and real
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Hajdini, Ina, Edward S. Knotek, John Leer, Mathieu Pedemonte, Robert Rich, and Raphael Schoenle. Low Pass-Through from Inflation Expectations to Income Growth Expectations: Why People Dislike Inflation. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013365.

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Using a large, nationally representative survey of US consumers, we estimate a causal 20 percent pass-through from inflation expectations to income growth expectations for the average consumer, with considerable heterogeneity in pass-through associated with sociodemographic factors. The results also indicate that higher inflation expectations cause an increase in consumers' likelihood to search for higher-paying jobs but do not change the likelihood of asking for a raise, suggesting that consumers recognize significant wage rigidity with their current employer. In a calibrated search-and-match
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Estache, Antonio, Ronaldo Seroa da Motta, and Grégoire Garsous. Shared Mandates, Moral Hazard, and Political (Mis)alignment in a Decentralized Economy. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0011691.

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This paper investigates the effects of political (mis)alignment on public service delivery when mandates are shared between state and local governments. We analyze sewage treatment policies in the state of São Paulo, Brazil. Relying on difference-in-differences estimations, we establish a causal relationship between political alignment and higher sewage treatment provision. Conceptually, we find that, with uncertain local commitment and weakly enforceable local obligations, shared mandates lead to a moral hazard issue implying service under-provision. Our results show that political alignment
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Khvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, and Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4120.

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The need to control the risk that accompanies businesses in their day- to-day operations, and at the same time changing economic conditions make risk management an almost indispensable element of economic life. Selection of the main aspects of the selected phases of the risk management process: risk identification and risk assessment are related to their direct relationship with the subject matter (risk identification to be managed; risk analysis leading to the establishment of a risk hierarchy, and, consequently, the definition of risk control’ methods) and its purpose (bringing the risk to a
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You might also be interested in the extended bibliographies on the topic 'Causal relationship' for particular source types:
Journal articles Dissertations / Theses Books
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