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Relevant bibliographies by topics / Random information

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Dissertations / Theses
Books
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Academic literature on the topic 'Random information'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Random information"

1

Telksnys, Laimutis, and Jonas Kaukėnas. "Recognition of Short-Time Specific Random Elements in Random Sequences." Informatica 22, no. 2 (2011): 279–88. http://dx.doi.org/10.15388/informatica.2011.327.

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Zakaria, Abdul Alif, and Norli Anida Abdullah. "Secure Information Hiding Based on Random Similar Bit Mapping." International Journal of Machine Learning and Computing 10, no. 4 (2020): 568–75. http://dx.doi.org/10.18178/ijmlc.2020.10.4.974.

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Tsairidis, Ch, K. Ferentinos, and T. Papaioannou. "Information and random censoring." Information Sciences 92, no. 1-4 (1996): 159–74. http://dx.doi.org/10.1016/0020-0255(96)00055-2.

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Lu, Jay. "Random Choice and Private Information." Econometrica 84, no. 6 (2016): 1983–2027. http://dx.doi.org/10.3982/ecta12821.

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Herve, T., J. M. Dolmazon, and J. Demongeot. "Random field and neural information." Proceedings of the National Academy of Sciences 87, no. 2 (1990): 806–10. http://dx.doi.org/10.1073/pnas.87.2.806.

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Goloboff, Pablo A. "RANDOM DATA, HOMOPLASY AND INFORMATION." Cladistics 7, no. 4 (1991): 395–406. http://dx.doi.org/10.1111/j.1096-0031.1991.tb00046.x.

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Sumathi, S., and R. Rajesh. "Feature-Optimized Random Forest Model for Wildfire Prediction using Weather Information." Indian Journal Of Science And Technology 18, no. 19 (2025): 1530–37. https://doi.org/10.17485/ijst/v18i19.442.

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Objectives: Forest fires present a notable danger to economies and human communities. Accurate forest fire forecasting can support timely reactions, resource allocation, and effective management strategies. Methods: The Recursive Feature Elimination with Cross-Validation approach is used to extract the key features from the dataset that was obtained from Kaggle. This technique combines feature selection and cross-validation to ensure the selected features are well-suited to new data. The Random Forest regressor, which constructs several decision trees and combines their predictions to provide

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Nurullaev, Mirkhon Mukhammadovich, and Rakhmatillo Djuraevich Aloev. "Working with cryptographic key information." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 911–19. https://doi.org/10.11591/ijece.v13i1.pp911-919.

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It is important to create a cryptographic system such that the encryption system does not depend on the secret storage of the algorithm that is part of it, but only on the private key that is kept secret. In practice, key management is a separate area of cryptography, which is considered a problematic area. This paper describes the main characteristics of working with cryptographic key information. In that, the formation of keys and working with cryptographic key information are stored on external media. The random-number generator for generating random numbers used for cryptographic key gener

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Vos, Paul W. "Random Variables Aren’t Random." Mathematics 13, no. 5 (2025): 775. https://doi.org/10.3390/math13050775.

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This paper examines the foundational concept of random variables in probability theory and statistical inference, demonstrating that their mathematical definition requires no reference to randomization or hypothetical repeated sampling. We show how measure-theoretic probability provides a framework for modeling populations through distributions, leading to three key contributions. First, we establish that random variables, properly understood as measurable functions, can be fully characterized without appealing to infinite hypothetical samples. Second, we demonstrate how this perspective enabl

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KIKKAWA, Sho. "Biomedical Information Engineering : Information Processing of Biomedical Random Data." Journal of the Society of Mechanical Engineers 89, no. 811 (1986): 583–89. http://dx.doi.org/10.1299/jsmemag.89.811_583.

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Dissertations / Theses on the topic "Random information"

1

Sneltvedt, Tommy. "Sequential value information for Markov random field." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13500.

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Higgins, Julian P. T. "Exploiting information in random effects meta-analysis." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387704.

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Barber, Stuart. "Group sequential tests with random information accrual." Thesis, University of Bath, 1999. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301534.

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Law, Yan Tai. "Pricing under random information flow and the theory of information pricing." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9292.

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This thesis presents a mathematical formulation of informational inhomogeneity in financial markets, with emphasis on its impact on asset volatility, the notion of information extraction, and the role of information providers. We begin with a brief review of the BHM framework, which models the market filtration by an information process consisting of a signal and a noise term, such that the signal-to-noise ratio is determined by the information flow rate. Motivated by the observations that valuable information is rarely circulated homogeneously across financial markets, and that the informatio

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Ratnarajah, Tharmalingam. "Topics in complex random matrices and information theory." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/29001.

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The eigenvalue distribution of both central and noncentral complex Wishart matrices are investigated with the objective of studying several open problems in information theory and numerical analysis, etc. Specifically, the largest, kth largest, and the smallest eigenvalue distributions of complex Wishart matrices and the condition number distribution of complex Gaussian random matrices are derived. These distributions are represented by complex hypergeometric functions of matrix arguments, which can be expressed in terms of complex zonal polynomials. We derive several results on complex hyper

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Loher, Urs. "Information-theoretic and genie-aided analyses of random-acess algorithms /." Zurich, 1998. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=12627.

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Ideker, Trey. "Offset correction techniques for imaging sensors using random dither information." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11470.

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Tyrrell, Simon. "Random and rational methods for compound selection." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370002.

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Hansson, Bevin. "Random Testing of Code Generation in Compilers." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175852.

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Compilers are a necessary tool for all software development. As modern compilers are large and complex systems, ensuring that the code they produce is accurate and correct is a vital but arduous task. Correctness of the code generation stage is important. Maintaining full coverage of test cases in a compiler is virtually impossible due to the large input and output domains. We propose that random testing is a highly viable method for testing a compiler. A method is presented to randomly generate a lower level code representation and use it to test the code generation stage of a compiler. This

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Conway, P. A. "The application of random dither to a digital CODEC." Thesis, University of Bradford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233656.

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Books on the topic "Random information"

1

Tolia, R. S. RTI and random thoughts. Uttarakhand Information Commission, 2010.

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López-Díaz, Miguel, María Á. Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz, and Jonathan Lawry. Soft Methodology and Random Information Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44465-7.

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Alonso, Laurent. Random Generation of Trees: Random Generators in Computer Science. Springer US, 1995.

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Franceschetti, Massimo. Random networks for communication: From statistical physics to information systems. Cambridge University Press, 2007.

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Baram, Yoram. Estimation and classification by sigmoids based on mutual information. National Aeronautics and Space Administration, 1994.

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Alonso, Laurent. Random generation of trees: Random generators in computer science. Kluwer Academic, 1995.

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Hedge, Ashok. Random walk: Essays on IT and business of capital markets industry. Prism Books, 2010.

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Ristic, Branko. Particle Filters for Random Set Models. Springer New York, 2013.

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Koblitz, Neal. Random curves: Journeys of a mathematician. Springer Verlag, 2008.

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Vísek, J. A. Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-010-9913-4.

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Book chapters on the topic "Random information"

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Beltrami, Edward. "Uncertainty and Information." In What Is Random? Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0799-2_2.

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Beltrami, Edward. "Uncertainty and Information." In What Is Random? Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1472-4_2.

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Calude, Cristian. "Random Strings." In Information and Randomness. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-03049-3_5.

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Calude, Cristian. "Random Sequences." In Information and Randomness. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-03049-3_6.

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Beltrami, Edward. "Algorithms, Information, and Chance." In What Is Random? Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0799-2_4.

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Beltrami, Edward. "Algorithms, Information, and Chance." In What Is Random? Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1472-4_4.

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Mahler, Ronald P. S. "Random Sets in Information Fusion an Overview." In Random Sets. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1942-2_7.

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Skorohod, A. V. "Preliminary Information." In Random Processes with Independent Increments. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3710-2_1.

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Cencini, Massimo, Andrea Puglisi, Davide Vergni, and Angelo Vulpiani. "Information Theory." In A Random Walk in Physics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72531-0_15.

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Cai, Leran, Thomas Sauerwald, and Luca Zanetti. "Random Walks on Randomly Evolving Graphs." In Structural Information and Communication Complexity. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54921-3_7.

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Conference papers on the topic "Random information"

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Liang, Yan, Jian Dang, and Zaichen Zhang. "Random Matrix Spreading for Unsourced Random Access." In 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering (EEICE). IEEE, 2025. https://doi.org/10.1109/eeice65049.2025.11033976.

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Chandra, Prafulla, and Andrew Thangaraj. "Missing Mass Under Random Duplications." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619664.

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Elimelech, Dor, and Wasim Huleihel. "Detection of Correlated Random Vectors." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619309.

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Wang, Qianfan, Yixin Wang, Yiwen Wang, Jifan Liang, and Xiao Ma. "Random Staircase Generator Matrix Codes." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619485.

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Abramson, Nils H., Richard L. Amoroso, Peter Rowlands, and Stanley Jeffers. "Instant Random Information." In SEARCH FOR FUNDAMENTAL THEORY: The VII International Symposium Honoring French Mathematical Physicist Jean-Pierre Vigier. AIP, 2010. http://dx.doi.org/10.1063/1.3536425.

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Kim, Jang-Hwan, Kyu-Tae Kim, and Eun-Soo Kim. "Information hiding using random sequences." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Mark S. Schmalz. SPIE, 1999. http://dx.doi.org/10.1117/12.372752.

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HIDA, TAKEYUKI. "INFORMATION, INNOVATION AND ELEMENTAL RANDOM FIELD." In Quantum Information and Computing. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774491_0016.

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SCHOTT, RENÉ, and G. STACEY STAPLES. "CLIFFORD ALGEBRAS, RANDOM GRAPHS, AND QUANTUM RANDOM VARIABLES." In Quantum Stochastics and Information - Statistics, Filtering and Control. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812832962_0005.

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Kam, Clement, Sastry Kompella, and Anthony Ephremides. "Age of information under random updates." In 2013 IEEE International Symposium on Information Theory (ISIT). IEEE, 2013. http://dx.doi.org/10.1109/isit.2013.6620189.

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Penso, Lucia Draque. "Session details: Information spreading, random walks." In PODC '12: ACM Symposium on Principles of Distributed Computing. ACM, 2012. http://dx.doi.org/10.1145/3245049.

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Reports on the topic "Random information"

1

Goldsmith, Andrea J., Stephen Boyd, H. V. Poor, and Yonina Eldar. Complex Network Information Exchange in Random Wireless Environments. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada576751.

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Dunker, Fabian, Stefan Hoderlein, and Hiroaki Kaido. Random coefficients in static games of complete information. Institute for Fiscal Studies, 2013. http://dx.doi.org/10.1920/wp.cem.2013.1213.

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Edwards, Susan L., Marcus E. Berzofsky, and Paul P. Biemer. Addressing Nonresponse for Categorical Data Items Using Full Information Maximum Likelihood with Latent GOLD 5.0. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0038.1809.

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Full information maximum likelihood (FIML) is an important approach to compensating for nonresponse in data analysis. Unfortunately, only a few software packages implement FIML and even fewer have the capability to compensate for missing not at random (MNAR) nonresponse. One of these packages is Statistical Innovations’ Latent GOLD; however, the user documentation for Latent GOLD provides no mention of this capability. The purpose of this paper is to provide guidance for fitting MNAR FIML models for categorical data items using the Latent GOLD 5.0 software. By way of comparison, we also provid

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Cilliers, Jacobus, and James Habyarimana. Tackling Implementation Challenges with Information: Experimental Evidence from a School Governance Reform in Tanzania. Research on Improving Systems of Education (RISE), 2023. http://dx.doi.org/10.35489/bsg-rise-wp_2023/142.

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This paper investigates inter-agency coordination challenges in implementing Tanzania's nationwide school governance programme, which generates school- and teacher-specific diagnostics and recommendations to enhance quality. However, information and managerial frictions between agencies undermine the programme's efficacy. In a random subset of schools, we implement a text message intervention, providing local bureaucrats with summaries of the recommendations. We find the programme improved student learning and teaching practices, but only when combined with text messages. Notably, gains were l

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Bäumler, Maximilian, Günther Prokop, Matthias Lehmann, and Linda Dziuba-Kaiser. Use Information You Have Never Observed Together: Data Fusion as a Major Step Towards Realistic Test Scenarios. TU Dresden, 2020. http://dx.doi.org/10.26128/2024.3.

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Scenario-based testing is a major pillar in the development and effectiveness assessment of automated driving systems. Thereby, test scenarios address different information layers and situations (normal driving, critical situations and accidents) by using different databases. However, the systematic combination of accident and / or normal driving databases into new synthetic databases can help to obtain scenarios that are as realistic as possible. This paper shows how statistical matching (SM) can be applied to fuse different categorical accident and traffic observation databases. Hereby, the

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Keller, David L. Using the Random Nearest Neighbor Data Mining Method to Extract Maximum Information Content from Weather Forecasts from Multiple Predictors of Weather and One Predictand (Low-Level Turbulence). Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada613335.

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Graziano, Alejandro, Christian Volpe Martincus, and Jerónimo Carballo. Customs. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011743.

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In this paper, we estimate the effects of custom-related delays on firms'exports. In so doing, we use a unique dataset that consists of the universe of Uruguay's export transactions over the period 2002-2011 and includes precise information on the actual time it took for each of these transactions to go through customs. We account for potential endogeneity of these processing times by exploiting the conditional random allocation of shipments to different verification channels associated with the use of riskbased control procedures. Results suggest that delays have a significant negative impact

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Li, Jia-Qi, PWH Kwong, YW Sun, WS So, and A. Sidarta. A comprehensive appraisal of meta-analyses in exercise-based stroke rehabilitation with trial sequential analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.8.0006.

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Review question / Objective: This study aims to use the trial sequential analysis (TSA) method to examine if the published meta-analyses concerning stroke rehabilitation reached the required information size and if the overall effect size is robust as well. Condition being studied: Stroke rehabilitation. Eligibility criteria: Studies were included if they 1) were meta-analyses of random control trials (RCTs) on people with stroke, 2) included meta-analyses results in gait speed (or 6MWT) or bal-ance performance. Studies were excluded if they 1) were conference abstracts, letters to the editor

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Delgado, Martha Elena, Juan David Herreño, Marc Hofstetter, and Mathieu Pedemonte. The Causal Effects of Expected Depreciations: Preliminary Findings. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013145.

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We estimate the causal effects of a shift in the future expected exchange rate of a local currency against the US dollar on a representative sample of firms in a small open economy. We survey a nationally representative sample of firms and provide the one-year-ahead nominal exchange rate forecast published by the local central bank to a random sub-sample of firm managers. This information treatment is effective in shifting exchange rate expectations and perceptions. These effects are persistent and larger for non-exporting firms. Linking survey responses with administrative census data, we est

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Delgado, Martha Elena, Juan David Herreño, and Marc Hofstetter. The Causal Effects of Expected Depreciations. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013188.

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We estimate the causal effects of a shift in the future expected exchange rate of a local currency against the US dollar on a representative sample of firms in a small open economy. We survey a nationally representative sample of firms and provide the one-year-ahead nominal exchange rate forecast published by the local central bank to a random sub-sample of firm managers. This information treatment is effective in shifting exchange rate expectations and perceptions. These effects are persistent and larger for non-exporting firms. Linking survey responses with administrative census data, we est

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