Relevant bibliographies by topics / Fixed-Time and robust estimation

Contents

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

Academic literature on the topic 'Fixed-Time and robust estimation'

Author: Grafiati
Published: 12 April 2025

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Journal articles on the topic "Fixed-Time and robust estimation"

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OLIINYK, VIACHESLAV, and VOLODYMYR LUKIN. "USE OF SIMILARITY METRICS IN ROBUST TIME DELAY ESTIMATION." Herald of Khmelnytskyi National University. Technical sciences 319, no. 2 (2023): 224–30. http://dx.doi.org/10.31891/2307-5732-2023-319-1-224-230.

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This paper addresses the task of time delay and direction of arrival estimation for a source of the wideband signal using two sensors with fixed displacement. The peculiarity of the task statement is that a limited time of signal observation is supposed and additive noise is assumed non-Gaussian with a heavy-tail distribution. This leads to a high probability of abnormal estimates for the conventional signal processing method based on cross-correlation. To decrease this probability, it is proposed to reformulate the task of cross-correlation processing to the task of similarity estimation betw
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Thombs, Ryan P. "A Guide to Analyzing Large N, Large T Panel Data." Socius: Sociological Research for a Dynamic World 8 (January 2022): 237802312211176. http://dx.doi.org/10.1177/23780231221117645.

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Fixed effects estimation of a static model with robust or panel corrected standard errors is commonly used to model large N, large T panel data. However, this approach is biased and inconsistent in the presence of dynamic misspecification, slope heterogeneity, and cross-sectional dependence. Common correlated effects estimation of a dynamic model has been advanced to address these issues but is rarely used in sociology. Here, I provide an overview of the large N, large T panel data literature, and I conduct an array of Monte Carlo experiments to compare the fixed effects estimator to the commo
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Wu, Tao, Zhengjiang Liu, and Guoyou Shi. "Practical Fixed-Time Robust Containment Control of Multi-ASVs with Collision Avoidance." Journal of Marine Science and Engineering 12, no. 12 (2024): 2363. https://doi.org/10.3390/jmse12122363.

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A practical fixed-time robust containment control method for multiple autonomous surface vehicles (multi-ASVs) is proposed in this study. This method addresses the containment control problem of multi-ASVs, considering both collision risks and external disturbances. This control scheme improves the cooperative performance of the formation and guarantees safe collision avoidance behavior. First, to enable the online estimation of unknown time-varying disturbances from the external environment, a fixed-time disturbance observer (FNDO) is designed based on fixed-time control theory. Second, the d
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Youssef, Ahmed Hassen, Mohamed Reda Abonazel, and Elsayed G. Ahmed. "Robust M Estimation for Poisson Panel Data Model with Fixed Effects: Method, Algorithm, Simulation, and Application." Statistics, Optimization & Information Computing 12, no. 5 (2024): 1292–305. http://dx.doi.org/10.19139/soic-2310-5070-1996.

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The fixed effects Poisson (FEP) model is one of the most important for the count data when the data containperiods and cross-sectional units. The maximum likelihood (ML) estimation method for the FEP model provides good results in the absence of outliers, but it is affected by outliers. So, we introduce in this paper robust estimators for the FEP model. These estimators yield stable and good results in case of the presence of outliers. The Monte Carlo simulation study and empirical application were conducted to assess the performance of the non-robust fixed Poisson maximum likelihood (FPML) es
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Magnussen, Steen. "Robust fixed-count density estimation with virtual plots." Canadian Journal of Forest Research 44, no. 4 (2014): 377–82. http://dx.doi.org/10.1139/cjfr-2013-0288.

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Fixed-count sampling (plotless) remains attractive for forest inventories in difficult terrains and for their control of the number (k) of trees to measure. Although recent fixed-count estimators of density (PDE) are less biased than older ones, the risk of a nontrivial bias remains a deterrent. A recently published PDE based on a generic algorithm for predicting distances to the k + m nearest tree (m = 1, 2, ...) has attractive properties in terms of average bias and average root mean squared errors across a wide spectrum of spatial point patterns. However, the risk of a sizeable bias remains
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Chai, Dashuai, Yipeng Ning, Shengli Wang, Wengang Sang, Jianping Xing, and Jingxue Bi. "A Robust Algorithm for Multi-GNSS Precise Positioning and Performance Analysis in Urban Environments." Remote Sensing 14, no. 20 (2022): 5155. http://dx.doi.org/10.3390/rs14205155.

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In this paper, we propose a partial ambiguity method of global navigation satellite system (GNSS) reliable positioning based on a robust estimation model to address the problems of the low reliability and availability of GNSS positioning in urban complex environments. First, the high-precision observations selected on the basis of the signal-to-noise ratio (SNR) were used to solve ambiguities. Then, the fixed ambiguities were used as constraints to solve the ambiguities of low-quality observations. The robust estimation method was used to reduce the impact of outliers for the ambiguity solutio
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Xi, Axing, and Yuanli Cai. "A Nonlinear Finite-Time Robust Differential Game Guidance Law." Sensors 22, no. 17 (2022): 6650. http://dx.doi.org/10.3390/s22176650.

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In this paper, a robust differential game guidance law is proposed for the nonlinear zero-sum system with unknown dynamics and external disturbances. First, the continuous-time nonlinear zero-sum differential game problem is transformed into solving the nonlinear Hamilton–Jacobi–Isaacs equation, a time-varying cost function is developed to reflect the fixed terminal time, and the robust guidance law is developed to compensate for the external disturbance. Then, a novel neural network identifier is designed to approximate the unknown nonlinear dynamics with online weight tuning. Subsequently, a
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Nakamori, Seiichi. "Robust Recursive Least-Squares Fixed-Point Smoother and Filter using Covariance Information in Linear Continuous-Time Stochastic Systems with Uncertainties." WSEAS TRANSACTIONS ON SIGNAL PROCESSING 20 (May 13, 2024): 56–66. http://dx.doi.org/10.37394/232014.2024.20.2.

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This study develops robust recursive least-squares (RLS) fixed-point smoothing and filtering algorithms for signals in linear continuous-time stochastic systems with uncertainties. The algorithms use covariance information, such as the cross-covariance function of the signal with the observed value and the autocovariance function of the degraded signal. A finite Fourier cosine series expansion approximates these functions. Additive white Gaussian noise is present in the observation of the degraded signal. A numerical simulation compares the estimation accuracy of the proposed robust RLS filter
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Mentz, Raúl P., and Carlos I. Martínez. "Robust estimation in time series." Test 11, no. 2 (2002): 385–404. http://dx.doi.org/10.1007/bf02595713.

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Guerrier, Stephane, Roberto Molinari, and Maria-Pia Victoria-Feser. "Estimation of Time Series Models via Robust Wavelet Variance." Austrian Journal of Statistics 43, no. 4 (2014): 267–77. http://dx.doi.org/10.17713/ajs.v43i4.45.

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A robust approach to the estimation of time series models is proposed. Taking froma new estimation method called the Generalized Method of Wavelet Moments (GMWM)which is an indirect method based on the Wavelet Variance (WV), we replace the classicalestimator of the WV with a recently proposed robust M-estimator to obtain a robustversion of the GMWM. The simulation results show that the proposed approach can beconsidered as a valid robust approach to the estimation of time series and state-spacemodels.
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Dissertations / Theses on the topic "Fixed-Time and robust estimation"

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Zhang, Yuqing. "Fixed-time algebraic distributed state estimation for linear systems." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2025. http://www.theses.fr/2025ISAB0001.

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Au cours des dernières décennies, le déploiement massif de capteurs embarqués en réseau dotés des capacités de communication dans des systèmes à grande échelle a suscité un intérêt croissant de la part des chercheurs dans le domaine de l’estimation distribuée. Cette thèse vise à développer une méthode d’estimation d’état distribuée algébrique à temps fixe pour les systèmes linéaires à temps variant d’ordre entier et les systèmes linéaires à temps invariant d’ordre fractionnaire dans des environnements bruités, en concevant un ensemble d’estimateurs locaux d’ordre réduit au niveau des capteurs
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Copeland, Andrew David 1978. "Robust motion estimation in the presence of fixed pattern noise." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87395.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 41-42).<br>by Andrew David Copeland.<br>M.Eng.
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Kwan, Tan Hwee. "Robust estimation for structural time series models." Thesis, London School of Economics and Political Science (University of London), 1990. http://etheses.lse.ac.uk/2809/.

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This thesis aims at developing robust methods of estimation in order to draw valid inference from contaminated time series. We concentrate on additive and innovation outliers in structural time series models using a state space representation. The parameters of interest are the state, hyperparameters and coefficients of explanatory variables. Three main contributions evolve from the research. Firstly, a filter named the approximate Gaussian sum filter is proposed to cope with noisy disturbances in both the transition and measurement equations. Secondly, the Kalman filter is robustified by carr
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Sinha, Sanjoy Kumar. "Some aspects of robust estimation in time series analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ57354.pdf.

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Zheng, Xueying, and 郑雪莹. "Robust joint mean-covariance model selection and time-varying correlation structure estimation for dependent data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50899703.

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In longitudinal and spatio-temporal data analysis, repeated measurements from a subject can be either regional- or temporal-dependent. The correct specification of the within-subject covariance matrix cultivates an efficient estimation for mean regression coefficients. In this thesis, robust estimation for the mean and covariance jointly for the regression model of longitudinal data within the framework of generalized estimating equations (GEE) is developed. The proposed approach integrates the robust method and joint mean-covariance regression modeling. Robust generalized estimating equat
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Kovac, Arne. "Wavelet thresholding for unequally time-spaced data." Thesis, University of Bristol, 1999. http://hdl.handle.net/1983/2088715a-7792-4032-bb76-83e3b0389b94.

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Skoglund, Johan. "Robust Real-Time Estimation of Region Displacements in Video Sequences." Licentiate thesis, Linköping : Department of Electrical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8006.

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LaMaire, Richard O. "Robust time and frequency domain estimation methods in adaptive control." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14795.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.<br>Supported, in part, by the NASA Ames & Langley Research Centers, the Office of Naval Research, and the National Science Foundation.<br>Bibliography: v. 2, leaves 334-337.<br>by Richard Orville LaMaire.<br>Ph.D.
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Staerman, Guillaume. "Functional anomaly detection and robust estimation." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT021.

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L’engouement pour l’apprentissage automatique s’étend à presque tous les domaines comme l’énergie, la médecine ou la finance. L’omniprésence des capteurs met à disposition de plus en plus de données avec une granularité toujours plus fine. Une abondance de nouvelles applications telles que la surveillance d’infrastructures complexes comme les avions ou les réseaux d’énergie, ainsi que la disponibilité d’échantillons de données massives, potentiellement corrompues, ont mis la pression sur la communauté scientifique pour développer de nouvelles méthodes et algorithmes d’apprentissage automatique
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Chapman, Michael Addison. "Adaptation and Installation of a Robust State Estimation Package in the Eef Utility." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/31432.

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Robust estimation methods have been successfully applied to the problem of power system state estimation in a real-time environment. The Schweppe-type GM-estimator with the Huber psi-function (SHGM) has been fully installed in conjunction with a topology processor in the EEF utility, headquartered in Fribourg, Switzerland. Some basic concepts of maximum likelihood estimation and robust analysis are reviewed, and applied to the development of the SHGM-estimator. The algorithms used by the topology processor and state estimator are presented, and the superior performance of the SHGM-estimator
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Books on the topic "Fixed-Time and robust estimation"

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Ladlow, Peter Thomas. Robust parameter estimation techniques for time-varying processes. University of Birmingham, 1998.

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Subrahmanyam, Allamaraju, and Ganti Prasada Rao. Identification of Continuous-Time Systems: Linear and Robust Parameter Estimation. Taylor & Francis Group, 2019.

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Robust time and frequency domain estimation methods in adaptive control. Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, 1987.

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Subrahmanyam, Allamaraju, and Ganti Prasada Rao. Identification of Continuous-Time Systems: Linear and Robust Parameter Estimation. Taylor & Francis Group, 2019.

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Subrahmanyam, Allamaraju, and Ganti Prasada Rao. Identification of Continuous-Time Systems: Linear and Robust Parameter Estimation. Taylor & Francis Group, 2019.

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Subrahmanyam, Allamaraju, and Ganti Prasada Rao. Identification of Continuous-Time Systems: Linear and Robust Parameter Estimation. Taylor & Francis Group, 2019.

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Anjum, Rani Lill, and Stephen Mumford. Same Cause, Same Effect. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198733669.003.0005.

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Hume gave the classic formulation of the regularity theory. The causal laws are fixed by the pattern of regularity in events. We have a conceptual constraint on the notion of causal law: the effects that laws describe must be repeatable and robust, applying at every time and place. From the same cause, therefore, we can infer the same effect. And by modus tollens, from a different effect, we infer a different cause. Apparent counterexamples can be marginalized, treated as exceptions, outliers, non-respondents, or effects of background noise or interference. This suggests that scientists accept
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Hankin, David, Michael S. Mohr, and Kenneth B. Newman. Sampling Theory. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.001.0001.

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We present a rigorous but understandable introduction to the field of sampling theory for ecologists and natural resource scientists. Sampling theory concerns itself with development of procedures for random selection of a subset of units, a sample, from a larger finite population, and with how to best use sample data to make scientifically and statistically sound inferences about the population as a whole. The inferences fall into two broad categories: (a) estimation of simple descriptive population parameters, such as means, totals, or proportions, for variables of interest, and (b) estimati
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Book chapters on the topic "Fixed-Time and robust estimation"

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Subrahmanyam, Allamaraju, and Ganti Prasada Rao. "Robust Parameter Estimation." In Identification of Continuous-Time Systems. CRC Press, 2019. http://dx.doi.org/10.1201/9780429352850-4.

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Mangoubi, Rami S. "Discrete-Time Robust Estimation." In Robust Estimation and Failure Detection. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1586-1_3.

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Agostinelli, C. "Robust Time Series Estimation via Weighted Likelihood." In Developments in Robust Statistics. Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57338-5_1.

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Seong, Junyeong, Sungjun Park, and Kunsoo Huh. "Robust Lane Keeping Control with Estimation of Cornering Stiffness and Model Uncertainty." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_39.

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AbstractThis paper introduces an adaptive lane-keeping control strategy that adapts to varying cornering stiffness while ensuring robustness against uncertainties. The system consists of three blocks: an Interacting Multiple Model (IMM) cornering stiffness estimator, a cornering stiffness uncertainty estimator, and a Robust Model Predictive Controller (RMPC). Improvements in estimation accuracy are achieved through a novel IMM probability derivation method, and the uncertainty estimator utilizes the IMM probability matrix to obtain reliable uncertainty boundaries. Real-time cornering stiffness estimations are integrated into the RMPC for adaptive model predictions. Uncertainty boundaries provide robustness against estimation error in the RMPC by constraint tightening and smoothing techniques. The performance of the estimator and controller is validated in simulations, where the overall control performance is compared to that of the Model Predictive Control (MPC) based on static cornering stiffness.
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Petersen, Ian R., and Andrey V. Savkin. "Discrete-Time Set-Valued State Estimation." In Robust Kalman Filtering for Signals and Systems with Large Uncertainties. Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1594-3_5.

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Wu, Renbiao, Qiongqiong Jia, Lei Yang, and Qing Feng. "Application of RELAX in Time Delay Estimation." In Principles and Applications of RELAX: A Robust and Universal Estimator. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6932-2_4.

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da Silva, Nuno Pinho, and João Paulo Costeira. "Robust Global Mosaic Topology Estimation for Real-Time Applications." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11559573_151.

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Gershon, Eli, and Uri Shaked. "Robust Estimation of Linear-Switched Systems with Dwell Time." In Advances in H∞ Control Theory. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16008-1_5.

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Cheng, Yu, Ilias Diakonikolas, and Rong Ge. "High-Dimensional Robust Mean Estimation in Nearly-Linear Time." In Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2019. http://dx.doi.org/10.1137/1.9781611975482.171.

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Reich, Sebastian. "Frequentist Perspective on Robust Parameter Estimation Using the Ensemble Kalman Filter." In Mathematics of Planet Earth. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_15.

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AbstractStandard maximum likelihood or Bayesian approaches to parameter estimation for stochastic differential equations are not robust to perturbations in the continuous-in-time data. In this paper, we give a rather elementary explanation of this observation in the context of continuous-time parameter estimation using an ensemble Kalman filter. We employ the frequentist perspective to shed new light on two robust estimation techniques; namely subsampling the data and rough path corrections. We illustrate our findings through a simple numerical experiment.
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Conference papers on the topic "Fixed-Time and robust estimation"

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Koizumi, Kakeru, and Hiroshi Watanabe. "Event-based Robust 3D Pose Estimation Using Time Series Data." In 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC). IEEE, 2024. http://dx.doi.org/10.1109/aic61668.2024.10731089.

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Lv, Yuezhang, Yunzhou Zhang, Xiaoyu Zhao, Wu Li, Jian Ning, and Yang Jin. "CTA-LO: Accurate and Robust LiDAR Odometry Using Continuous-Time Adaptive Estimation." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611453.

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Pnevmatikakis, Aristodemos, and Lazaros Polymenakos. "Robust Estimation of Background for Fixed Cameras." In 2006 15th International Conference on Computing. IEEE, 2006. http://dx.doi.org/10.1109/cic.2006.63.

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Lee, You-Seok, and Hyoung-Nam Kim. "Noise-Robust Channel Estimation for DVB-T Fixed Receptions." In 2007 Digest of Technical Papers International Conference on Consumer Electronics. IEEE, 2007. http://dx.doi.org/10.1109/icce.2007.341562.

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Roy, Shibdas, Ian R. Petersen, and Elanor H. Huntington. "Adaptive continuous homodyne phase estimation using robust fixed-interval smoothing." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580312.

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Verling, Sebastian L., and Roland Siegwart. "Robust Wind Estimation for Fixed Wing UAVs in Surveying Applications." In AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-0373.

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McPhee, Hamish, Jean-Yves Tourneret, David Valat, Philippe Paimblanc, Jérome Delporte, and Yoan Grégoire. "A Robust Time Scale Based on Maximum Likelihood Estimation." In 54th Annual Precise Time and Time Interval Systems and Applications Meeting. Institute of Navigation, 2023. http://dx.doi.org/10.33012/2023.18701.

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Abu Bakar, Nor Mazlina, and Habshah Midi. "The Applications of Robust Estimation in Fixed Effect Panel Data Model." In Proceedings of the 1st Aceh Global Conference (AGC 2018). Atlantis Press, 2019. http://dx.doi.org/10.2991/agc-18.2019.54.

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Wenqiang Liu and Zili Deng. "Robust steady-state Kalman filter for uncertain discrete-time system." In 2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF). IEEE, 2015. http://dx.doi.org/10.1109/icedif.2015.7280188.

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Zhang, Zhaoyu, and Haibin Duan. "Robust Adaptive Filter for Time-Varying Parameters Estimation in Integrated Navigation of Fixed-Wing Aerial Robot*." In 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2023. http://dx.doi.org/10.1109/robio58561.2023.10354695.

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Reports on the topic "Fixed-Time and robust estimation"

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Galindo, Arturo, and Marcela Meléndez Arjona. Corporate Tax Stimulus and Investment in Colombia. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0010933.

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This paper uses a yearly dataset of plant-level investment in Colombian firms during the period 1997 to 2007 to assess the impact of a tax incentive for firms that invest in fixed assets implemented in 2004. A positive and statistically significant correlation is found between the boom observed in investment and the adoption of the tax policy. However, the correlation vanishes when year-specific effects are controlled for. This result is robust to changes in the empirical specification, changes in estimation techniques, the inclusion of additional controls, and changes in the data set, among o
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Rojas-Bernal, Alejandro, and Mauricio Villamizar-Villegas. Pricing the exotic: Path-dependent American options with stochastic barriers. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/be.1156.

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We develop a novel pricing strategy that approximates the value of an American option with exotic features through a portfolio of European options with different maturities. Among our findings, we show that: (i) our model is numerically robust in pricing plain vanilla American options; (ii) the model matches observed bids and premiums of multidimensional options that integrate Ratchet, Asian, and Barrier characteristics; and (iii) our closed-form approximation allows for an analytical solution of the option’s greeks, which characterize the sensitivity to various risk factors. Finally, we highl
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Schling, Maja, Nicolás Pazos, Leonardo Corral, and Marisol Inurritegui. The Effects of Tenure Security on Women's Empowerment and Food Security: Evidence From a Land Regularization Program in Ecuador. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005355.

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This paper evaluates the impact of a rural land administration program in Ecuador on female empowerment and household food security. Using a double robust estimation that combines the difference-in-difference approach with inverse probability weighting, we explore whether receiving a georeferenced cadastral map of ones parcel provides women with increased bargaining power, empowering them to participate more actively in productive and consumption decision-making that leads to improved diversification of the production portfolio and the households food security. Although we find no significant
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Baltagi, Badi H., Georges Bresson, Anoop Chaturvedi та Guy Lacroix. Robust dynamic space-time panel data models using ε-contamination: An application to crop yields and climate change. CIRANO, 2023. http://dx.doi.org/10.54932/ufyn4045.

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This paper extends the Baltagi et al. (2018, 2021) static and dynamic ε-contamination papers to dynamic space-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in two ways. First, we consider the ε-contamination class of prior distributions for the model parameters as well as for the individual effects. Second, both the base elicited priors and the ε-contamination priors use Zellner (1986)’s g-priors for the variance-covariance matric
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Pinkovskiy, Maxim, Xavier Sala-i-Martin, Kasey Chatterji-Len, and William Nober. Inequality Within Countries is Falling: Underreporting Robust Estimates of World Poverty, Inequality, and the Global Distribution of Income. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1125.

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Household surveys suffer from persistent and growing underreporting. We propose a novel procedure to adjust reported survey incomes for underreporting by estimating a model of misreporting whose main parameter of interest is the elasticity of regional national accounts income to regional survey income, which is closely related to the elasticity of underreporting with respect to income. We find this elasticity to be substantial but roughly constant over time, implying a large but relatively constant correction to survey-derived inequality estimates. Underreporting of income by the bottom 50 per
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Stucchi, Rodolfo, Alessandro Maffioli, Sofía Rojo, and Victoria Castillo. Knowledge Spillovers of Innovation Policy through Labor Mobility: An Impact Evaluation of the FONTAR Program in Argentina. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0011534.

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Although knowledge spillovers are at the core of the innovation policy's justification, they have never been properly measured by any impact evaluation. This paper fills this gap by estimating the spillover effects of the FONTAR program in Argentina. We use an employer-employee matched panel dataset with the entire population of firms and workers in Argentina for the period 2002-2010. This dataset allows us to track the mobility of qualified workers from FONTAR beneficiary firms to other firms and, therefore, to identify firms that indirectly benefit from the program through knowledge diffusio
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Arizala, Francisco, Eduardo A. Cavallo, and Arturo Galindo. Financial Development and TFP Growth: Cross-Country and Industry-Level Evidence. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0010917.

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This paper estimates the impact of financial development on industry-level total factor productivity (TFP) growth using a largely unexploited panel of 77 countries with data for 26 manufacturing industries for the years 1963 to 2003. A significant relationship is found between financial development and industry-level TFP growth when controlling for country-time and industry-time fixed effects. The results are both statistically and economically significant. TFP growth can accelerate up to 0.6 percent per year, depending on the external finance requirement of industries, following a one standar
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Chong, Alberto E., and Eliana La Ferrara. Television and Divorce: Evidence from Brazilian Novelas. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0010906.

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This paper studies the link between television and divorce in Brazil by exploiting variation in the timing of availability of the signal of Rede Globo -the network that had a virtual monopoly on telenovelas in the countryacross municipal areas. Using three rounds of Census data (1970, 1980 and 1991) and controlling for area fixed effects and for time-varying characteristics, the paper finds that the share of women who are separated or divorced increases significantly after the Globo signal becomes available. The effect is robust to controlling for potential determinants of Globos entry strateg
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González, Francisco, José E. Gutiérrez, and José María Serena. Shadow seniority? Lending relationships and borrowers’ selective default. Banco de España, 2024. http://dx.doi.org/10.53479/36695.

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This paper analyzes how lending relationships affect firms’ incentives to default, drawing on loan-level data in Spain. We provide new evidence showing that firms first default on loans from less important (“non-main”) banks to preserve their most valuable lending relationships. Our findings also indicate that banks integrate this borrower behavior into their credit risk management because the most important banks within a borrower’s set of lending relationships recognize lower discretionary loan impairments. The results are robust to alternative difference-in-difference (DID) analyses and con
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Torero, Máximo, and Jaime Saavedra-Chanduví. Union Density Changes and Union Effects on Firm Performance in Peru. Inter-American Development Bank, 2002. http://dx.doi.org/10.18235/0011249.

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The paper documents the sharp reduction in union density in Peru between 1986 and 1998, in a context of large macroeconomic fluctuations, structural reforms and changes in the Collective Bargaining Law in 1993. The authors find that a blue-collar job, a permanent contract, higher education and working in a large firm increase the likelihood of unionization, but only before the legislative change. Using a panel of firms for the manufacturing sector for the period 1994-1996, a negative impact of unions on profits for all firm sizes is found. In the econometric analysis, a significant negative ef
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