Relevant bibliographies by topics / Biased estimates

Contents

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

Academic literature on the topic 'Biased estimates'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Biased estimates"

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Andrews, Isaiah, Dillon Bowen, Toru Kitagawa, and Adam McCloskey. "Inference for Losers." AEA Papers and Proceedings 112 (May 1, 2022): 635–40. http://dx.doi.org/10.1257/pandp.20221065.

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Researchers frequently report league tables ranking units (neighborhoods or firms, for instance) based on estimated coefficients. Since the rankings are formed based on estimates, however, the coefficients reported in league tables suffer from selection bias, with estimates for highly ranked units biased upward and those for low-ranked units biased downward. Further, conventional confidence intervals can undercover. This paper introduces corrected estimators and confidence intervals that address these biases, ensuring that estimates and confidence intervals reported for each position in a leag
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Mikhailov, V. S. "A simple criterion for the effectiveness of biased estimators." Dependability 24, no. 1 (2024): 25–33. http://dx.doi.org/10.21683/1729-2646-2024-24-1-25-33.

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Point estimation is one of the most common forms of statistical inference. This paper touches upon the concepts of unbiasedness and effectiveness of biased estimates. An attractive approximation for the true (quantitative) value of the estimated parameter t whose values belong to a certain numerical set t T is an estimate , for which the sum of the mathematical expectation of the square of the differences between the possible realization of and the estimated parameter t is minimal (least squares estimation). Another approach is to find the value of the parameter t based on the sum of the mathe
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Teickner, Henning, Edzer Pebesma, and Klaus-Holger Knorr. "A synthesis of Sphagnum litterbag experiments: initial leaching losses bias decomposition rate estimates." Biogeosciences 22, no. 2 (2025): 417–33. https://doi.org/10.5194/bg-22-417-2025.

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Abstract. Our knowledge of the magnitude and controls of Sphagnum decomposition rates is derived to a large extent from litterbag experiments that do not explicitly consider initial leaching losses. Previous research on vascular plants suggests that decomposition rate (k0) estimates from litterbag experiments are biased when initial leaching losses (l0) are ignored. In contrast, the magnitude and variability of l0 for Sphagnum litterbag experiments are not well known, and it is therefore also not known how much Sphagnum k0 estimates are biased. As Sphagnum is the main peat-forming species in m
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Ekelund, Robert B., John D. Jackson, and Robert D. Tollison. "Are Art Auction Estimates Biased?" Southern Economic Journal 80, no. 2 (2013): 454–65. http://dx.doi.org/10.4284/0038-4038-2012.087.

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Shaban, Adel Magid M. "Biased estimates of variance components." Microelectronics Reliability 35, no. 5 (1995): 777–82. http://dx.doi.org/10.1016/0026-2714(94)00125-8.

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Hinderling, Peter H. "Biased estimates of nonrenal clearance." Journal of Pharmaceutical Sciences 90, no. 7 (2001): 960–66. http://dx.doi.org/10.1002/jps.1047.

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Qingming, Gui, and Dong Xurong. "A class of biased estimates for LN estimation problem: a class of biased estimates for improving LN estimates." manuscripta geodaetica 18, no. 1 (1993): 1–9. http://dx.doi.org/10.1007/bf03655540.

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Mikhailov, V. S. "Efficiency criterion of biased estimates. A new take on old problems." Dependability 22, no. 1 (2022): 30–37. http://dx.doi.org/10.21683/1729-2646-2022-22-1-30-37.

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The perfect case estimation scenario involves unbiased estimation with minimal variance, if such estimate exists. Currently, there are no means of obtaining unbiased estimates (if they do exist!). For instance, a maximum likelihood estimate (NBT test plan) of a mean time to failure Tmn = (total operation time)/(number of failures) is highly biased. Those involved in solving applied problems are not satisfied with the situation. Efficient unbiased estimates are used whenever such are available. If it is impossible to find an efficient unbiased estimate in terms of standard deviation, then biase
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Wyszkowska, P., and R. Duchnowski. "Systematic bias of selected estimates applied in vertical displacement analysis." Journal of Geodetic Science 10, no. 1 (2020): 41–47. http://dx.doi.org/10.1515/jogs-2020-0103.

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AbstractIn surveying problems we almost always use unbiased estimators; however, even unbiased estimator might yield biased assessments, which is due to data. In statistics one distinguishes several types of such biases, for example, sampling, systemic or response biases. Considering surveying observation sets, bias from data might result from systematic or gross errors of measurements. If nonrandom errors in an observation set are known, then bias can easily be determined for linear estimates (e.g., least squares estimates). In the case of non-linear estimators, it is not so simple. In this p
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Hönekopp, Johannes, and Audrey Helen Linden. "Heterogeneity estimates in a biased world." PLOS ONE 17, no. 2 (2022): e0262809. http://dx.doi.org/10.1371/journal.pone.0262809.

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Meta-analyses typically quantify heterogeneity of results, thus providing information about the consistency of the investigated effect across studies. Numerous heterogeneity estimators have been devised. Past evaluations of their performance typically presumed lack of bias in the set of studies being meta-analysed, which is often unrealistic. The present study used computer simulations to evaluate five heterogeneity estimators under a range of research conditions broadly representative of meta-analyses in psychology, with the aim to assess the impact of biases in sets of primary studies on est
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Dissertations / Theses on the topic "Biased estimates"

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Hanley, Neil T. "Biased estimates in depressive realism : effects of mood, motivation, valence, response frequency and outcome density." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100616.

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Several past studies have identified that dysphoric undergraduates (those with depressed mood) sometimes give estimates of their control over outcomes closer to the actual contingency than estimates made by the nondepressed. This "depressive realism" phenomenon is typically found in tasks with zero control and frequent outcomes. The present paper investigates this phenomenon with a more powerful design for comparing estimates. Experiment 1 manipulated motivation for accuracy to compare the prevalent self-serving motivational bias explanation to an information processing bias perspective. Depre
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Araújo, Cristina da Paixão. "Uso de informação secundária imprecisa e inacurada no planejamento de curto prazo." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/127891.

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No setor de mineração, a amostragem está presente no empreendimento mineral desde a fase da exploração até a lavra. Para diminuir a incerteza na previsão de teores, o planejamento de lavra requer adensamento da amostragem para garantir previsões acuradas e precisas. Acredita-se, que quanto maior a quantidade de amostras, maior a confiabilidade nas estimativa de teores. Na fase exploração, geralmente, a amostragem é realizada por furos de sondagem com coroas diamantadas, que é uma técnica com alto custo de execução e produz amostras com acuracidade e precisão. Nesta fase, existem poucos dados c
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Sereevinyayut, Piya. "On estimate aggregation : studies of how decision makers aggregate quantitative estimates in three different cases." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/125062.

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This dissertation examines how people aggregate quantitative advices to reach their own estimates. Each chapter explores a different situation that could affect how advices are evaluated, and consequentially how advices will be combined. The first chapter demonstrates that people measure advices' extremity degrees by anhoring upon the advice set's median. It also shows that, unlike multiplicative scaling, additive scaling of advices affects how outliers are perceived. The second chapter deals with advices that are obtained serially. The results reveals that whether people execute the aggregati
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Долгіх, Володимир Миколайович, Владимир Николаевич Долгих, Volodymyr Mykolaiovych Dolhikh, Яна Володимирівна Долгіх, Яна Владимировна Долгих та Yana Volodymyrivna Dolhikh. "Оценка параметров производственной функции Кобба-Дугласа нелинейным методом наименьших квадратов". Thesis, Украинская академия банковского дела Национального банка Украины, 2008. http://essuir.sumdu.edu.ua/handle/123456789/62471.

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Параметры функции Koббa-Дугласа, найденные методом наименьших квадратов после логарифмического преобразования, смещены. Методы нелинейного программирования могут быть использованы для того, чтобы определять несмещенные параметры.<br>Parameters of the Kobb-Douglas function, which are finded by the method of least squares after logarithmic transformation, are biased. The methods of nonlinear programming may be used in order to define the unbiased parameters.
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Millet, Floyd W. "Improving Electromagnetic Bias Estimates." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd525.pdf.

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Lee, Wonwoo. "Fractional principal components regression: a general approach to biased estimators." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/49819.

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Wissel, Julia. "A new biased estimator for multivariate regression models with highly collinear variables." Doctoral thesis, kostenfrei, 2009. http://www.opus-bayern.de/uni-wuerzburg/volltexte/2009/3638/.

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Rollins, Derrick K. "Unbiased estimates of measured process variables when measurement biases and process leaks are present /." The Ohio State University, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=osu148768624382009.

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Durazo-Arvizu, Ramon Angel. "Bias-adjusted estimates of survival following group sequential hypothesis testing." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186830.

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It is known that repeated use of fixed sample hypothesis testing causes inflation of the type one statistical error. Since in a group sequential design a study is stopped preferentially when extreme data have been observed, we expect that the usual estimators are biased toward the extremes. We demonstrate through simulations that the fixed sample survival estimators are biased if computed after stopping a group sequential trial in which stopping is based on survival statistics. The problem is first studied under no censored data and then with the more realistic setting of censoring. In particu
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Sogunro, Babatunde Oluwasegun. "Nonresponse in industrial censuses in developing countries : some proposals for the correction of biased estimators." Thesis, University of Hull, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278593.

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Books on the topic "Biased estimates"

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Logan, Trevon D. Are Engel curve estimates of CPI bias biased? National Bureau of Economic Research, 2008.

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Blackburn, McKinley L. Are OLS estimates of the return to schooling biased downward?: Another look. National Bureau of Economic Research, 1993.

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Diskin, Boris. Solving upwind-biased discretizations II: Multigrid solver using semicoarsening. National Aeronautics and Space Administration, Langley Research Center, 1999.

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Center, Langley Research, ed. Solving upwind-biased discretizations II: Multigrid solver using semicoarsening. National Aeronautics and Space Administration, Langley Research Center, 1999.

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Center, Langley Research, ed. Solving upwind-biased discretizations II: Multigrid solver using semicoarsening. National Aeronautics and Space Administration, Langley Research Center, 1999.

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Center, Langley Research, ed. Solving upwind-biased discretizations II: Multigrid solver using semicoarsening. National Aeronautics and Space Administration, Langley Research Center, 1999.

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Heckman, James J. Bias corrected estimates of GED returns. National Bureau of Economic Research, 2006.

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Neumark, David. Attrition bias in economic relationships estimated with matched CPS files. National Bureau of Economic Research, 2001.

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National Center for Health Statistics (U.S.). Nonresponse bias in estimates from the 2012 National Ambulatory Medical Care Survey. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2016.

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Grosh, Margaret E. An observation on the bias in clinic-based estimates of malnutrition rates. Technical Dept., Latin America and the Caribbean Regional Office, World Bank, 1991.

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Book chapters on the topic "Biased estimates"

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Sun, Jiayang, and Bin Wang. "Sieve estimates for biased survival data." In Institute of Mathematical Statistics Lecture Notes - Monograph Series. Institute of Mathematical Statistics, 2006. http://dx.doi.org/10.1214/074921706000000644.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Firth’s Bias-adjusted Estimates for Biased Logistic Data Models (23 Challenger Launchings)." In Machine Learning in Medicine – A Complete Overview. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33970-8_51.

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Henzinger, Thomas A., Mahyar Karimi, Konstantin Kueffner, and Kaushik Mallik. "Monitoring Algorithmic Fairness." In Computer Aided Verification. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37703-7_17.

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AbstractMachine-learned systems are in widespread use for making decisions about humans, and it is important that they are fair, i.e., not biased against individuals based on sensitive attributes. We present runtime verification of algorithmic fairness for systems whose models are unknown, but are assumed to have a Markov chain structure. We introduce a specification language that can model many common algorithmic fairness properties, such as demographic parity, equal opportunity, and social burden. We build monitors that observe a long sequence of events as generated by a given system, and ou
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Gray, D. A., J. L. Riley, and D. H. Holdsworth. "Effect of Biased Compasses on Towed Array Shape Estimates Obtained from Kalman Filters." In Acoustic Signal Processing for Ocean Exploration. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1604-6_23.

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van der Ark, L. Andries, and Niels Smits. "Computerized Adaptive Testing Without IRT for Flexible Measurement and Prediction." In Essays on Contemporary Psychometrics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-10370-4_19.

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AbstractIn education, testing procedures can be lengthy. The long duration takes up precious time and affects the quality of responses, possibly resulting in a biased diagnosis or wrong treatment. The problem can be reduced using computer adaptive testing (CAT). However, three issues prevent the use of traditional CAT: (1) the type of tests and questionnaires we focus on do not allow for the construction of large item banks, (2) the test data are usually not (approximately) unidimensional, and (3) the aim of the researchers may not only be measurement but also prediction. We propose a flexible
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Kohrangi, M., A. N. Papadopoulos, S. R. Kotha, D. Vamvatsikos, and P. Bazzurro. "Earthquake Catastrophe Risk Modeling, Application to the Insurance Industry: Unknowns and Possible Sources of Bias in Pricing." In Springer Tracts in Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68813-4_11.

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AbstractMathematical risk assessment models based on empirical data and supported by the principles of physics and engineering have been used in the insurance industry for more than three decades to support informed decisions for a wide variety of purposes, including insurance and reinsurance pricing. To supplement scarce data from historical events, these models provide loss estimates caused to portfolios of structures by simulated but realistic scenarios of future events with estimated annual rates of occurrence. The reliability of these estimates has evolved steadily from those based on the
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Navarro, Danielle, and David Foxcroft. "8. Estimating unknown quantities from a sample." In Learning Statistics with jamovi. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0333.08.

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This chapter delves into the distinction between descriptive and inferential statistics, focusing on the latter’s aim of deriving knowledge about unknown population parameters from observed data. It introduces estimation theory, the first of two primary pillars of inferential statistics, following a foundational discussion on sampling theory. The chapter begins by exploring key concepts such as populations, samples, and the importance of sampling methods, distinguishing between random and biased sampling. Practical sampling methods such as simple random sampling, stratified sampling, snowball
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Di Maso, Matteo, Monica Ferraroni, Pasquale Ferrante, Serena Delbue, and Federico Ambrogi. "Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.36.

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In survival analysis, time-varying covariates are endogenous when their measurements are directly related to the event status and incomplete information occur at random points during the follow-up. Consequently, the time-dependent Cox model leads to biased estimates. Joint models (JM) allow to correctly estimate these associations combining a survival and longitudinal sub-models by means of a shared parameter (i.e., random effects of the longitudinal sub-model are inserted in the survival one). This study aims at showing the use of JM to evaluate the association between a set of inflammatory b
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Ramacher, Martin Otto Paul, Johannes Bieser, Eleni Athanasopoulou, et al. "Why Current Exposure Estimates are Biased Low—The Impact of Population Activity on Regional Scale Exposure to Air Pollution." In Springer Proceedings in Complexity. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-70424-6_28.

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Molnar, Christoph, Timo Freiesleben, Gunnar König, et al. "Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44064-9_24.

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AbstractScientists and practitioners increasingly rely on machine learning to model data and draw conclusions. Compared to statistical modeling approaches, machine learning makes fewer explicit assumptions about data structures, such as linearity. Consequently, the parameters of machine learning models usually cannot be easily related to the data generating process. To learn about the modeled relationships, partial dependence (PD) plots and permutation feature importance (PFI) are often used as interpretation methods. However, PD and PFI lack a theory that relates them to the data generating p
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Conference papers on the topic "Biased estimates"

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Jørgensen, Magne. "Measurement of Software Development Effort Estimation Bias: Avoiding Biased Measures of Estimation Bias." In 11th International Conference on Embedded Systems and Applications (EMSA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120607.

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In this paper, we propose improvements in how estimation bias, e.g., the tendency towards under-estimating the effort, is measured. The proposed approach emphasizes the need to know what the estimates are meant to represent, i.e., the type of estimate we evaluate and the need for a match between the type of estimate given and the bias measure used. We show that even perfect estimates of the mean effort will not lead to an expectation of zero estimation bias when applying the frequently used bias measure: (actual effort – estimated effort)/actual effort. This measure will instead reward under-e
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Webber, William, Mossaab Bagdouri, David D. Lewis, and Douglas W. Oard. "Sequential testing in classifier evaluation yields biased estimates of effectiveness." In SIGIR '13: The 36th International ACM SIGIR conference on research and development in Information Retrieval. ACM, 2013. http://dx.doi.org/10.1145/2484028.2484159.

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Laws, R. "Unbiased Hydrophone Position Errors can Lead to Biased Estimates of SEL." In Third EAGE Marine Acquisition Workshop. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202242034.

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Picheny, Victor, Nam-Ho Kim, and Raphael T. Haftka. "Conservative Estimations of Reliability With Limited Sampling." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35465.

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The objective of this paper is to provide a method of safely estimating reliability based on small samples. First, it is shown that the commonly used estimators of the parameters of the normal distribution function are biased, and they tend to lead to unconservative estimates of reliability. Then, two ways of making this estimation conservative are proposed: (1) adding constraints when a distribution is fitted to the data to bias it to be conservative, and (2) using the bootstrap method to estimate the bias needed for a given level of conservativeness. The relationship between the accuracy and
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Dawson, Jeffrey, Amy O’Shea, and Joyee Ghosh. "Reducing high-frequency time series data in driving studies." In Decision Making Based on Data. International Association for Statistical Education, 2019. http://dx.doi.org/10.52041/srap.19201.

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Driving behavior studies often capture electronic measures at 1-30 Hz for long intervals. It is important to find stochastic models that describe such data, with parameters that can be interpreted and accurately estimated. In this report, we review a family of models that are useful in describing the lateral position of a vehicle in a simulator. These models consist of “projection” and “signed error” pieces, with the latter containing a parameter representing the tendency for drivers to return the vehicles to a central position. We use ad hoc and likelihood-based methods to fit these models, b
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Gowharji, Waleed, and Kate S. Whitefoot. "Influence of Omitted Variables in Consumer Choice Models on Engineering Design Optimization Solutions." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97835.

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Abstract This paper examines the impact of Omitted Variable Bias (OVB) within consumer choice models on engineering design optimization solutions. Engineering products often have a multitude of attributes that influence consumers’ purchasing decisions, many of which are difficult to include in revealed-preference models due to a lack of data. Correlations among these omitted variables and product attributes included in the model can bias demand parameter estimates. However, engineering design optimization studies typically do not account for this bias. We examine the influence consumer-choice
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Shao, Jun, and Kwok-Leung Tsui. "Form Tolerance Estimation Using Jackknife Methods." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0814.

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Abstract A coordinate measuring machine (CMM) is a computer controlled device that uses a programmable probe to obtain measurements on a part surface. Recently CMMs have become very popular for dimensional measurement in industry due to their flexibility, accuracy, and ease of automation. Despite the advantages offered by CMM’s, problems have emerged with their use because tolerance standards require knowledge of the entire surface while a CMM provides only a sample of points on the surface. These problems could be quite challenging, and both practitioners and researchers have shown great inte
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Von Arnim, Maximilian, Steffen Gaisser, and Sabine Klinkner. "Improved sensor fusion for flying laptop based on a multiplicative EKF." In Symposium on Space Educational Activities (SSAE). Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788419184405.049.

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Flying Laptop is a small satellite carrying an optical communications payload. It was launched in 2017. To improve the satellite’s attitude determination, which is used to point the payload, a new sensor fusion algorithm based on a low pass filter and a multiplicative extended Kalman filter (MEKF) was developed. As an operational satellite, improvements are only possible via software updates. The algorithm estimates the satellite's attitude from star tracker and fibre-optical gyroscope (FOG) measurements. It also estimates the gyroscope bias. The global attitude estimate uses a quaternion repr
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Hoetz, H. L. J. G. "Observations from Systematic Depth Conversion Reviews - Biased Depth Estimates and the Impact on the Drilling Portfolio." In 78th EAGE Conference and Exhibition 2016. EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201601144.

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Thomassin, Magalie, and Rachid Malti. "Multivariable Identification of Continuous-Time Fractional System." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86975.

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This paper presents two subspace-based methods, from the MOESP (MIMO output-error state space) family, for state-space identification of continuous-time fractional commensurate models from sampled input-output data. The methodology used in this paper involves a continuous-time fractional operator allowing to reformulate the problem so that the state-space matrices can be estimated with conventional discrete-time subspace techniques based on QR and singular value decompositions. The first method is a deterministic one whereas the second approach takes place in a stochastic context. The performa
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Reports on the topic "Biased estimates"

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Logan, Trevon. Are Engel Curve Estimates of CPI Bias Biased? National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w13870.

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Mitchell, James, and Taylor Shiroff. Are Revisions to State-Level GDP Data in the US Well Behaved? Federal Reserve Bank of Cleveland, 2025. https://doi.org/10.26509/frbc-wp-202511.

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No, first estimates of state GDP growth are not rational forecasts, except for Georgia. Revisions to first estimates of state-level GDP growth tend to be biased, large, and/or predictable using information known at the time of the first estimate.
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Blackburn, McKinley, and David Neumark. Are OLS Estimates of the Return to Schooling Biased Downward? Another Look. National Bureau of Economic Research, 1993. http://dx.doi.org/10.3386/w4259.

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Ham, Andrés, Angela Guarin, and Juanita Ruiz. How Accurately are Household Surveys Measuring the Size and Inequalities for the LGBT Population in Bogota, Colombia? Evidence from a List Experiment. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004721.

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This paper studies whether household surveys precisely identify the LGBT population and are suitable to measure labor market discrimination in Colombia. We first quantify the size of the LGBT population and estimate labor market inequalities from these data, highlighting potential pitfalls from using this approach. We then present findings from a list experiment in Bogotá, Colombia. Results show that household surveys underestimate the size of the LGBT population and may yield biased estimates of labor market inequalities. While survey estimates range between 1-4%, we find that LGBT people con
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Calafat, Francisco Mir, Thomas Frederikse, and Kevin Horsburgh. Mediterranean trend and acceleration sea-level estimates. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.2_v2.

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Sea-level change is geographically non-uniform, with regional departures that can reach several times the global average rate of change. Characterizing this spatial variability and understanding its causes is crucial to the design of adaptation strategies for sea-level rise. This, as it turns out, is no easy feat, primarily due to the sparseness of the observational sea-level record in time and space. Long tide gauge records are restricted to a few locations along the coast. Satellite altimetry offers a better spatial coverage but only since 1992. In the Mediterranean Sea, the tide gauge netwo
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Sanchez-Jabba, Andres, Erick Villabon-Hinestroza, and Bernardo Romero-Torres. Inflation Expectations Measurement and its Effect on Inflation Dynamics in Colombia. Banco de la República, 2023. http://dx.doi.org/10.32468/be.1257.

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Accurate measurement of inflation expectations is crucial due to its significant impact on inflation dynamics and the potential for biased estimates when using different measurement methods. The main objective of this study is to determine whether the effect of inflation expectations on inflation dynamics in Colombia depends on the measurement method employed. We achieve this by estimating New-Keynesian Phillips Curves using various measurement methods for inflation expectations employing data from financial markets, economic surveys, and macroeconomic models. Our analysis focuses on any diffe
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Gervacio Jakabosky, Olivia. Effects of Road and Trail Characteristics on Mountain Grouse Observations in Western Montana. Montana State University, 2022. https://doi.org/10.15788/s2022.curio2.

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Anthropogenic features such as roads and trails, and human activity may affect space use, demography, abundance, and other wildlife population parameters. Human infrastructure and activity may result in biased population estimates by influencing habitat use of a species and thus abundance estimates within a localized area or the ability of biologist to detect individuals during standard population surveys. To evaluate the effects of anthropogenic features on mountain grouse detections, we developed and conducted replicated surveys throughout western Montana during 2020. Biologists and voluntee
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Athey, Susan, Raj Chetty, and Guido Imbens. The Experimental Selection Correction Estimator: Using Experiments to Remove Biases in Observational Estimates. National Bureau of Economic Research, 2025. https://doi.org/10.3386/w33817.

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Avila-Montealegre, Oscar, and Carter Mix. Common Trade Exposure and Business Cycle Comovement. Banco de la República de Colombia, 2020. http://dx.doi.org/10.32468/be.1149.

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A large empirical literature has shown that countries that trade more with each other have more correlated business cycles. We show that previous estimates of this relationship are biased upward because they ignore common trade exposure to other countries. When we account for common trade exposure to foreign business cycles, we find that (1) the effect of bilateral trade on business cycle comovement falls by roughly 25 percent and (2) common exposure is a significant driver of business cycle comovement. A standard international real business cycle model is qualitatively consistent with these f
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Moreno, Kenji, and María Cecilia Deza. Productivity and Innovation Shortfalls in the Andean Region. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004599.

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This paper studies productivity in the Andean region in detail between 1990 and 2018. To do this, a growth accounting analysis is carried out, considering adjustments for quality and utilization of production factors. Subsequently, the paper explores whether the productivity gap between the Andean region and developed countries results from an innovation shortfall (low R&amp;D investment level) or an accumulation problem. Several findings emerged. First, the absence of adjustments for quality and utilization of production factors generates more optimistic (and biased) estimates of TFP than whe
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