Relevant bibliographies by topics / Ordinal regression analysis

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

Academic literature on the topic 'Ordinal regression analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Ordinal regression analysis"

1

Liu, Xing, and Hari Koirala. "Ordinal Regression Analysis: Using Generalized Ordinal Logistic Regression Models to Estimate Educational Data." Journal of Modern Applied Statistical Methods 11, no. 1 (2012): 242–54. http://dx.doi.org/10.22237/jmasm/1335846000.

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Waegeman, Willem, Bernard De Baets, and Luc Boullart. "ROC analysis in ordinal regression learning." Pattern Recognition Letters 29, no. 1 (2008): 1–9. http://dx.doi.org/10.1016/j.patrec.2007.07.019.

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Nennuri, Rajashekar, M. Geetha Yadav, Y. Sai Vahini, Goda Sairam Prabhas, and V. Rajashree. "Twitter Sentimental Analysis based on Ordinal Regression." Journal of Physics: Conference Series 1979, no. 1 (2021): 012069. http://dx.doi.org/10.1088/1742-6596/1979/1/012069.

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Saad, Shihab Elbagir, and Jing Yang. "Twitter Sentiment Analysis Based on Ordinal Regression." IEEE Access 7 (2019): 163677–85. http://dx.doi.org/10.1109/access.2019.2952127.

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Kadziński, MiŁosz, Salvatore Greco, and Roman SŁowiński. "Extreme ranking analysis in robust ordinal regression." Omega 40, no. 4 (2012): 488–501. http://dx.doi.org/10.1016/j.omega.2011.09.003.

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Krasko, O. V., M. Yu Reutovich, and A. L. Patseika. "Preoperative prediction of gastric cancer T-staging based on ordinal regression models." Informatics 21, no. 2 (2024): 36–53. http://dx.doi.org/10.37661/1816-0301-2024-21-2-36-53.

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Objectives. Study of ordinal regressions presented via the set of binary logistic regressions and their application in clinical practice for T-staging of gastric cancer.Methods. Methods of ordinal regression statistical models, model performance assessment, and survival analysis were used.Results. Basic ordinal regression models have been studied and applied to the clinical data of gastric cancer. Some clinical predictors have been added to the well-known prognostic criteria according to the TNM classification in the multifactor regression model, results seem appropriate for a personalized app
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Morris, Daryl E., Margaret Sullivan Pepe, and William E. Barlow. "Contrasting Two Frameworks for ROC Analysis of Ordinal Ratings." Medical Decision Making 30, no. 4 (2010): 484–98. http://dx.doi.org/10.1177/0272989x09357477.

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Background. Statistical evaluation of medical imaging tests used for diagnostic and prognostic purposes often employs receiver operating characteristic (ROC) curves. Two methods for ROC analysis are popular. The ordinal regression method is the standard approach used when evaluating tests with ordinal values. The direct ROC modeling method is a more recently developed approach, motivated by applications to tests with continuous values. Objective. The authors compare the methods in terms of model formulations, interpretations of estimated parameters, the ranges of scientific questions that can
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Simpson, Douglas G., Raymond J. Carroll, Haibo Zhou, and Daniel J. Guth. "Interval Censoring and Marginal Analysis in Ordinal Regression." Journal of Agricultural, Biological, and Environmental Statistics 1, no. 3 (1996): 354. http://dx.doi.org/10.2307/1400524.

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Bradley, R., and W. M. Maclaren. "Ordinal logistic regression analysis of flight task ratings." Aeronautical Journal 110, no. 1109 (2006): 447–56. http://dx.doi.org/10.1017/s0001924000001342.

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Abstract The relationship between a pilot workload rating for a simulated flight task in the proximity of an offshore platform helideck and three experimental factors – wind speed, wind direction and pilot is investigated. The statistical method employed is ordinal logistic regression, which allows the specifying and fitting of regression relationships between ordered categorical response variables and explanatory variables. The response variable in this context is a pilot’s rating of the workload induced by certain flight tasks, measured on an ordered categorical scale 1 to 10. Estimates of t
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Wang, Hongwei. "Ordinal Logistic Regression Analysis in Effective Teaching Practices." Journal of Mathematics and Statistics 20, no. 1 (2024): 13–17. http://dx.doi.org/10.3844/jmssp.2024.13.17.

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Dissertations / Theses on the topic "Ordinal regression analysis"

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Hirk, Rainer, Kurt Hornik, and Laura Vana. "Multivariate Ordinal Regression Models: An Analysis of Corporate Credit Ratings." WU Vienna University of Economics and Business, 2017. http://epub.wu.ac.at/5389/1/Report132_lvana.pdf.

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Correlated ordinal data typically arise from multiple measurements on a collection of subjects. Motivated by an application in credit risk, where multiple credit rating agencies assess the creditworthiness of a firm on an ordinal scale, we consider multivariate ordinal models with a latent variable specification and correlated error terms. Two different link functions are employed, by assuming a multivariate normal and a multivariate logistic distribution for the latent variables underlying the ordinal outcomes. Composite likelihood methods, more specifically the pairwise and tripletwise likel
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Hirk, Rainer, Kurt Hornik, and Laura Vana. "Multivariate ordinal regression models: an analysis of corporate credit ratings." Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/s10260-018-00437-7.

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Correlated ordinal data typically arises from multiple measurements on a collection of subjects. Motivated by an application in credit risk, where multiple credit rating agencies assess the creditworthiness of a firm on an ordinal scale, we consider multivariate ordinal regression models with a latent variable specification and correlated error terms. Two different link functions are employed, by assuming a multivariate normal and a multivariate logistic distribution for the latent variables underlying the ordinal outcomes. Composite likelihood methods, more specifically the pairwise and tripl
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Batten, Dennis William. "Univariate polytomous ordinal regression analysis with application to diabetic retinopathy data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ54859.pdf.

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Adnan, Arisman. "Analysis of taste-panel data using ANOVA and ordinal logistic regression." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402150.

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Johnson, Edward P. "Applying Bayesian Ordinal Regression to ICAP Maladaptive Behavior Subscales." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2121.pdf.

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Corrente, Salvatore. "Hierarchy and interaction of criteria in robust ordinal regression." Doctoral thesis, Università di Catania, 2013. http://hdl.handle.net/10761/1312.

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All decision making problems we deal with along our lives, have a multiple criteria structure, that is several alternatives are evaluated with respect to some points of view, technically called evaluation criteria, and then compared in order to make the ``best'' decision. Multiple Criteria Decision Aiding, proposes methodologies useful to take decisions explicitly considering the preferences of the Decision Maker. In many real world problems, the criteria are not independent but interacting, being possible to observe a certain degree of synergy or redundancy between the evaluation criteria an
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Maxwell, Kori Lloyd Hugh. "Logistic Regression Analysis to Determine the Significant Factors Associated with Substance Abuse in School-Aged Children." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/67.

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Substance abuse is the overindulgence in and dependence on a drug or chemical leading to detrimental effects on the individual’s health and the welfare of those surrounding him or her. Logistic regression analysis is an important tool used in the analysis of the relationship between various explanatory variables and nominal response variables. The objective of this study is to use this statistical method to determine the factors which are considered to be significant contributors to the use or abuse of substances in school-aged children and also determine what measures can be implemented to mi
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Slobodnik, Anton G. "Ordinal Logistic Regression Analysis of RFID Doorway Portal Performance as a Function of System Design Parameters." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/275.

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This research effort examined the read rate differences in a passive ultra high frequency (UHF) Radio Frequency Identification (RFID) doorway portal as a function of antenna placement, doorway size and composition, reader manufacturer, tag type, and tag orientation. In this analysis of a RFID system, the response observations were modeled under an ordinal logistic regression model. The selection of a categorical analysis method was due to the flaws associated with the initial design of the experiment, which resulted in high valued observations which would have skewed the results of a quantitat
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Johnson, Gary Brent. "Evaluation and ranking of minor-league hitters using a statistical model." Manhattan, Kan. : Kansas State University, 2006. http://hdl.handle.net/2097/149.

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Kristjansson, Elizabeth. "Detecting DIF in polytomous items, an empirical comparison of the ordinal logistic regression, logistic discriminant function analysis, Mantel, and Generalized Mantel-Haenszel procedures." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ66160.pdf.

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Books on the topic "Ordinal regression analysis"

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Liu, Xing. Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling. SAGE Publications, Inc, 2015.

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Liu, Xing. Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling. SAGE Publications, Incorporated, 2015.

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Liu, Xing. Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling. SAGE Publications, Incorporated, 2015.

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Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2014.

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Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2014.

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Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2014.

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Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2016.

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Cliff, Norman. Ordinal Methods for Behavioral Data Analysis. Taylor & Francis Group, 2014.

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Jr, Harrell Frank E. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. Springer London, Limited, 2015.

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Jr, Harrell Frank E. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. Springer International Publishing AG, 2016.

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Book chapters on the topic "Ordinal regression analysis"

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Thrane, Christer. "An ordered (ordinal) dependent variableLogistic (logit) regression." In Applied Regression Analysis. Routledge, 2019. http://dx.doi.org/10.4324/9780429443756-11.

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Dasgupta, Nairanjana, and Jillian Morrison. "Diagnostics of the Ordinal Regression Models." In Ordinal Data Analysis. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003020615-7.

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Westfall, Peter H., and Andrea L. Arias. "Models for Binary, Nominal, and Ordinal Response Variables." In Understanding Regression Analysis. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003025764-13.

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Nussbaum, E. Michael. "Multinomial Logistic, Ordinal, and Poisson Regression." In Categorical and Nonparametric Data Analysis, 2nd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003145264-11.

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Grigoroudis, Evangelos, Laurent Noel, Emilios Galariotis, and Constantin Zopounidis. "Ordinal Regression for Art Market Analysis." In Encyclopedia of Optimization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-54621-2_794-1.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Kendall-Tau Regression for Ordinal Data." In Clinical Data Analysis on a Pocket Calculator. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27104-0_9.

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Balakrishna Priya, G., and M. Usha Rani. "Telugu Tweets Sentiment Analysis Based on Ordinal Regression." In Intelligent Computing and Communication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1588-0_64.

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Shrivastava, Vishal, and Dolly. "Exploring Sentiment in Tweets: An Ordinal Regression Analysis." In Proceedings of Congress on Control, Robotics, and Mechatronics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5180-2_27.

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João, Isabel M., Carlos A. Bana e Costa, and José Rui Figueira. "An Ordinal Regression Method for Multicriteria Analysis of Customer Satisfaction." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04045-0_14.

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Savov, Pavel, Adam Jatowt, and Radoslaw Nielek. "Innovativeness Analysis of Scholarly Publications by Age Prediction Using Ordinal Regression." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50417-5_48.

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Conference papers on the topic "Ordinal regression analysis"

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Uderianová, Lucia, and Paulína Krnáčová. "The Impact of UNESCO Sites on International Tourism: The Relationship Between Cultural Heritage and International Tourism Arrivals." In 25th International Joint Conference Central and Eastern Europe in the Changing Business Environment. Vydavateľstvo EKONÓM, 2025. https://doi.org/10.53465/ceecbe.2025.9788022552257.363-375.

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Cultural heritage represents a key factor in destination attractiveness, with UNESCO World Heritage Sites playing a significant role in tourists decision-making processes. The aim of this paper was to explore the relationship between the number of UNESCO sites and the intensity of international tourism, measured by the number of tourist arrivals. A quantitative approach was adopted, using an Ordinary Least Squares (OLS) regression model, based on 2019 data from UNESCO and the World Bank. The analysis suggests that each additional UNESCO site is associated with an average increase of 2.03 milli
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Kolanu, Sasikanth, Sharmada Kommabathula, Poojitha Peka, Sai Phaneendra Varma Gadiraju, and Vivek Pathibandla. "Twitter sentiment analysis based on ordinal regression." In PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0130893.

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Ahmed, Moin, Mohit Goel, Raju Kumar, and Aruna Bhat. "Sentiment Analysis on Twitter using Ordinal Regression." In 2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON). IEEE, 2021. http://dx.doi.org/10.1109/smartgencon51891.2021.9645751.

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Lubis, Muharman, Mira Kartiwi, and Sonny Zulhuda. "Decision to casting a vote: An ordinal regression statistical analysis." In 2014 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M). IEEE, 2014. http://dx.doi.org/10.1109/ict4m.2014.7020646.

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Mouriño, Helena. "Ordinal regression models to describe tourist satisfaction with Sintra's world heritage." In 11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013: ICNAAM 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4825899.

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An’nisaa, Salam Saidah, Nur Farhayu Ariffin, Mohamad Idris Ali, and Noram Irwan Ramli. "The probabilistic of abandoned project status using ordinal logistic regression analysis." In INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND MANUFACTURING SYSTEMS: ICMEMS2022. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0113901.

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Wu, Yuzhou, Yu Sun, Xinle Liang, Ke Tang, and Zixing Cai. "Evolutionary semi-supervised ordinal regression using weighted kernel Fisher discriminant analysis." In 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2015. http://dx.doi.org/10.1109/cec.2015.7257300.

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Sumargo, Bagus, Junezarra Thie Dea Giselle, Suyono, Mulyono, and Afiyah Tsarwat Zharifah. "Core measure analysis of the happiness evaluative characteristics using ordinal logistic regression." In THE 8TH INTERNATIONAL CONFERENCE AND WORKSHOP ON BASIC AND APPLIED SCIENCE (ICOWOBAS) 2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0103884.

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Sofronov, G. Yu, N. V. Glotov, and S. M. Ivanov. "Analysis of ontogenetic spectra of populations of plants and lichens via ordinal regression." In SYMPOSIUM ON BIOMATHEMATICS (SYMOMATH 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4914443.

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Ohyver, Margaretha, and Kimmy Octavian Yongharto. "Ordinal logistic regression analysis on the nutritional status of children in KarangKitri village." In THE 5TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND NATURAL SCIENCES. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4930644.

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Reports on the topic "Ordinal regression analysis"

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Chong, Alberto E. Inequality, Democracy, and Persistence: Is There a Political Kuznets Curve? Inter-American Development Bank, 2001. http://dx.doi.org/10.18235/0010950.

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The aim of this paper is to provide comprehensive empirical evidence on recent theories that link democracy and income inequality for the period 1960-1995. In simple cross-country regressions I find a non-monotonic link between these two variables when using ordinary least squares, instrumental variables, and Eusufzai tests. Since these results cannot be taken as "true" time series findings, even though recent theories that explain such a link are, I also employ recent methods applied to dynamic models on panel data. These techniques allow accounting for potential simultaneity and heterogeneit
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Debuque-Gonzales, Margarita, Ma Christina Epetia, and John Paul Corpus. Effects of the COVID-19 Pandemic on Employment and Wages in the Philippines. Philippine Institute for Development Studies, 2023. http://dx.doi.org/10.62986/dp2023.10.

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This study examines the impact of the COVID-19 pandemic on the Philippine labor market, focusing on employment and real wages and their respective outcomes across sectors and various worker characteristics. To analyze the pandemic’s impacts on employment outcomes at various stages of the crisis, we estimate changes in the probability of employment through a set of logit and multinomial logit regressions and measure changes in daily working hours using ordinary least squares (OLS) regressions. We also estimate the effects on real daily wages through OLS regressions on subsamples of wage and sal
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Orbeta, Aniceto Jr, Kris Ann Melad, and Maropsil Potestad. Correlates of Test Performance of 15-year-old Students in the Philippines: Evidence from PISA. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.57.

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To provide evidence on the drivers of the quality of education in the country, this study focuses on the correlates of test performance of 15-year-old students in the Philippines. It aims to quantitatively measure the roles of individual, family, and school characteristics in test performance. It uses the 2018 Program for International Student Assessment (PISA) which include a rich set of student, family, and school characteristics. In addition to the average relationship between the variables provided by ordinary least squares, it also provides an analysis for high and low performing students
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