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Statistical Matching Using File Concatenation with Adjusted Weights and Multiple Imputations

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Cited by:

  1. Eduardo Lora & Miguel Benítez & Diego Gutiérrez, 2024. "Annualizing labor market, inequality, and poverty indicators," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(1), pages 131-164, March.
  2. François Gardes, 2021. "On the value of time and human life," Documents de travail du Centre d'Economie de la Sorbonne 21023, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  3. Westermeier, Christian & Grabka, Markus M., 2016. "Longitudinal Wealth Data and Multiple Imputation: An Evaluation Study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(3), pages 237-252.
  4. Brownstone, David & Golob, Thomas F., 1992. "The Effectiveness of Ridesharing Incentives: Discrete-choice Models of Commuting in Southern California," University of California Transportation Center, Working Papers qt0w0518qd, University of California Transportation Center.
  5. Gessendorfer Jonathan & Beste Jonas & Drechsler Jörg & Sakshaug Joseph W., 2018. "Statistical Matching as a Supplement to Record Linkage: A Valuable Method to Tackle Nonconsent Bias?," Journal of Official Statistics, Sciendo, vol. 34(4), pages 909-933, December.
  6. Chia-Ning Wang & Roderick Little & Bin Nan & Siobán D. Harlow, 2011. "A Hot-Deck Multiple Imputation Procedure for Gaps in Longitudinal Recurrent Event Histories," Biometrics, The International Biometric Society, vol. 67(4), pages 1573-1582, December.
  7. Sean Mc Auliffe & Georg U. Thunecke & Georg Wamser, 2023. "The Tax-Elasticity of Tangible Fixed Assets: Evidence from Novel Corporate Tax Data," CESifo Working Paper Series 10628, CESifo.
  8. Riccardo D’Alberto & Matteo Zavalloni & Meri Raggi & Davide Viaggi, 2018. "AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
  9. Anil Alpman, 2016. "Implementing Rubin's alternative multiple-imputation method for statistical matching in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 717-739, September.
  10. Claramunt González, Juan & van Delden, Arnout & de Waal, Ton, 2023. "Assessment of the effect of constraints in a new multivariate mixed method for statistical matching," Computational Statistics & Data Analysis, Elsevier, vol. 177(C).
  11. Gabriella Donatiello & Marcello D’Orazio & Doriana Frattarola & Antony Rizzi & Mauro Scanu & Mattia Spaziani, 2014. "Statistical Matching of Income and Consumption Expenditures," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2014(3), pages 50-65.
  12. Brunori, Paolo & Salas-Rojo, Pedro & Verme, Paolo, 2022. "Estimating Inequality with Missing Incomes," GLO Discussion Paper Series 1138, Global Labor Organization (GLO).
  13. Okay Gunes, 2017. "Analysis of Households' Decision Using Full Demand Elasticity Estimates: an Estimation on Turkish Data," Post-Print halshs-01491970, HAL.
  14. Roderick J. A. Little & Donald B. Rubin, 1989. "The Analysis of Social Science Data with Missing Values," Sociological Methods & Research, , vol. 18(2-3), pages 292-326, November.
  15. Jaime Allen & Juan Carlos Muñoz & Juan Ortúzar, 2020. "On the effect of operational service attributes on transit satisfaction," Transportation, Springer, vol. 47(5), pages 2307-2336, October.
  16. Marcello D’Orazio, 2015. "Integration and imputation of survey data in R: the StatMatch package," Romanian Statistical Review, Romanian Statistical Review, vol. 63(2), pages 57-68, June.
  17. Kamakura, Wagner A. & Wedel, Michel, 1996. "Statistical data-fusion for cross-tabulation," Research Report 96B17, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  18. François Gardes, 2021. "A Solution to the Estimation of an Enlarged GDP Including Domestic Production: An Estimation on Micro Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03325362, HAL.
  19. Fumagalli, Laura & Sala, Emanuela, 2011. "The total survey error paradigm and pre-election polls: the case of the 2006 Italian general elections," ISER Working Paper Series 2011-29, Institute for Social and Economic Research.
  20. Anika Rasner & Joachim R. Frick & Markus M. Grabka, 2013. "Statistical Matching of Administrative and Survey Data," Sociological Methods & Research, , vol. 42(2), pages 192-224, May.
  21. François Gardes, 2021. "A Solution to the Estimation of an Enlarged GDP Including Domestic Production: An Estimation on Micro Data," Post-Print halshs-03325362, HAL.
  22. Baris Ucar & Gianni Betti, 2016. "Longitudinal statistical matching: transferring consumption expenditure from HBS to SILC panel survey," Department of Economics University of Siena 739, Department of Economics, University of Siena.
  23. Kiesl, Hans & Rässler, Susanne, 2006. "How valid can data fusion be?," IAB-Discussion Paper 200615, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  24. François Gardes, 2021. "A Solution to the estimation of an Enlarged GDP Including Domestic Production: An Estimation on Micro Data," Documents de travail du Centre d'Economie de la Sorbonne 21024, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  25. François Gardes, 2021. "On the value of time and human life," Post-Print halshs-03325332, HAL.
  26. Joost Ginkel & Pieter Kroonenberg, 2014. "Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 242-269, July.
  27. Max G’Sell & Shai Shen-Orr & Robert Tibshirani, 2014. "Sensitivity analysis for inference with partially identifiable covariance matrices," Computational Statistics, Springer, vol. 29(3), pages 529-546, June.
  28. Pier Luigi Conti & Daniela Marella & Andrea Neri, 2017. "Statistical matching and uncertainty analysis in combining household income and expenditure data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 485-505, August.
  29. François Gardes, 2019. "The Estimation of Price Elasticities and the Value of Time in a Domestic Production Framework: an Application using French Micro-Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01478052, HAL.
  30. Jana Emmenegger & Ralf Münnich & Jannik Schaller, 2022. "Evaluating Data Fusion Methods to Improve Income Modelling," Research Papers in Economics 2022-03, University of Trier, Department of Economics.
  31. Andrea Cutillo & Mauro Scanu, 2020. "A Mixed Approach for Data Fusion of HBS and SILC," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 411-437, July.
  32. Anil Alpman, 2015. "Implementing Rubin's Alternative Multiple Imputation Method for Statistical Matching in Stata," Post-Print hal-01159191, HAL.
  33. Peter ven de Ven & Anne Harrison & Barbara Fraumeni & Dennis Fixler & David Johnson & Andrew Craig & Kevin Furlong, 2017. "A Consistent Data Series to Evaluate Growth and Inequality in the National Accounts Note: The views expressed in this research, including those related to statistical, methodological, technical, or op," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 437-459, December.
  34. Stephen D. Oliner & Morris A. Davis & Will Larson, 2019. "Mortgage risk since 1990," AEI Economics Working Papers 1001502, American Enterprise Institute.
  35. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
  36. David Kaplan & Jianshen Chen & Sinan Yavuz & Weicong Lyu, 2023. "Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments," Psychometrika, Springer;The Psychometric Society, vol. 88(1), pages 1-30, March.
  37. Zvi Gilula & Robert McCulloch, 2013. "Multi level categorical data fusion using partially fused data," Quantitative Marketing and Economics (QME), Springer, vol. 11(3), pages 353-377, September.
  38. Mingyang Cai & Gerko Vink, 2022. "A note on imputing squares via polynomial combination approach," Computational Statistics, Springer, vol. 37(5), pages 2185-2201, November.
  39. Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non‐response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, April.
  40. Mr. Michael Weber & Ms. Michaela Denk, 2011. "Avoid Filling Swiss Cheese with Whipped Cream: Imputation Techniques and Evaluation Procedures for Cross-Country Time Series," IMF Working Papers 2011/151, International Monetary Fund.
  41. Norah Alyabs & Sy Han Chiou, 2022. "The Missing Indicator Approach for Accelerated Failure Time Model with Covariates Subject to Limits of Detection," Stats, MDPI, vol. 5(2), pages 1-13, May.
  42. Chenyang Gu & Roee Gutman, 2017. "Combining item response theory with multiple imputation to equate health assessment questionnaires," Biometrics, The International Biometric Society, vol. 73(3), pages 990-998, September.
  43. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
  44. Cristina Borra & Almudena Sevilla & Jonathan Gershuny, 2013. "Calibrating Time-Use Estimates for the British Household Panel Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 1211-1224, December.
  45. Chiara Elena Dalla & Menon Martina & Perali Federico, 2019. "An Integrated Database to Measure Living Standards," Journal of Official Statistics, Sciendo, vol. 35(3), pages 531-576, September.
  46. Ge Zhang & Zeyu Wang & Zhuang Tong & Zhen Qin & Chang Su & Demin Li & Shuai Xu & Kaixiang Li & Zhaokai Zhou & Yudi Xu & Shiqian Zhang & Ruhao Wu & Teng Li & Youyang Zheng & Jinying Zhang & Ke Cheng & , 2024. "AI hybrid survival assessment for advanced heart failure patients with renal dysfunction," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
  47. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 2-20.
  48. Lamarche, Pierre, 2017. "Estimating consumption in the HFCS: Experimental results on the first wave of the HFCS," Statistics Paper Series 22, European Central Bank.
  49. Mehboob Ali & Göran Kauermann, 2021. "A split questionnaire survey design in the context of statistical matching," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1219-1236, October.
  50. Rässler, Susanne & Koller, Florian & Mäenpää, Christine, 2002. "A split questionnaire survey design applied to German media and consumer surveys," Discussion Papers 42b/2002, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
  51. Zucchelli, E & Jones, A.M & Rice, N, 2010. "The evaluation of health policies through microsimulation methods," Health, Econometrics and Data Group (HEDG) Working Papers 10/03, HEDG, c/o Department of Economics, University of York.
  52. Arif Mamun & David Wittenburg & Noelle Denny-Brown & Michael Levere & David Mann & Rebecca Coughlin & Sarah Croake & Heather Gordon & Denise Hoffman & Rachel Holzwart & Rosalind Keith & Brittany McGil, "undated". "Promoting Opportunity Demonstration: Interim Evaluation Report," Mathematica Policy Research Reports caa99d38a8b14f968ea3438e5, Mathematica Policy Research.
  53. Michael S. Rendall & Bonnie Ghosh-Dastidar & Margaret M. Weden & Zafar Nazarov, 2011. "Multiple Imputation for Combined-Survey Estimation With Incomplete Regressors In One But Not Both Surveys," Working Papers WR-887-1, RAND Corporation.
  54. François Gardes, 2019. "The Estimation of Price Elasticities and the Value of Time in a Domestic Production Framework: an Application using French Micro-Data," Post-Print hal-01478052, HAL.
  55. Joost R. Ginkel, 2020. "Standardized Regression Coefficients and Newly Proposed Estimators for $${R}^{{2}}$$R2 in Multiply Imputed Data," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 185-205, March.
  56. Rasner, Anika & Frick, Joachim R. & Grabka, Markus M., 2013. "Statistical Matching of Administrative and Survey Data: An Application to Wealth Inequality Analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 42(2), pages 192-224.
  57. François Gardes, 2019. "The Estimation of Price Elasticities and the Value of Time in a Domestic Production Framework: an Application using French Micro-Data," PSE-Ecole d'économie de Paris (Postprint) hal-01478052, HAL.
  58. Michael S. Rendall & Bonnie Ghosh-Dastidar & Margaret M. Weden & Elizabeth H. Baker & Zafar Nazarov, 2013. "Multiple Imputation for Combined-survey Estimation With Incomplete Regressors in One but Not Both Surveys," Sociological Methods & Research, , vol. 42(4), pages 483-530, November.
  59. Anil Alpman, 2015. "Implementing Rubin's Alternative Multiple Imputation Method for Statistical Matching in Stata," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01159191, HAL.
  60. Rässler, Susanne & Schnell, Rainer, 2004. "Multiple imputation for unit-nonresponse versus weighting including a comparison with a nonresponse follow-up study," Discussion Papers 65/2004, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Statistics and Econometrics.
  61. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326, arXiv.org, revised Aug 2024.
  62. Matthias von Davier & Youngmi Cho & Tianshu Pan, 2019. "Effects of Discontinue Rules on Psychometric Properties of Test Scores," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 147-163, March.
  63. Leonie C. Steckermeier & Jan Delhey, 2019. "Better for Everyone? Egalitarian Culture and Social Wellbeing in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 1075-1108, June.
  64. Clinton P. McCully, 2013. "Integration of Micro and Macro Data on Consumer Income and Expenditures," BEA Working Papers 0101, Bureau of Economic Analysis.
  65. Patrick M. Joyce & Donald Malec & Roderick J. A. Little & Aaron Gilary & Alfredo Navarro & Mark E. Asiala, 2014. "Statistical Modeling Methodology for the Voting Rights Act Section 203 Language Assistance Determinations," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 36-47, March.
  66. Grabka, Markus & Westermeier, Christian, 2014. "Estimating the Impact of Alternative Multiple Imputation Methods on Longitudinal Wealth Data," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100353, Verein für Socialpolitik / German Economic Association.
  67. Daniela Marella & Danny Pfeffermann, 2023. "Accounting for Non‐ignorable Sampling and Non‐response in Statistical Matching," International Statistical Review, International Statistical Institute, vol. 91(2), pages 269-293, August.
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  69. Ahfock, Daniel & Pyne, Saumyadipta & Lee, Sharon X. & McLachlan, Geoffrey J., 2016. "Partial identification in the statistical matching problem," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 79-90.
  70. François Gardes, 2018. "On the value of time and human life," Post-Print halshs-01903596, HAL.
  71. Michael Clemens, 2021. "The Fiscal Effect of Immigration: Reducing Bias in Influential Estimates," CESifo Working Paper Series 9464, CESifo.
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  73. Shu Yang & Jae Kwang Kim, 2020. "Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 839-861, September.
  74. Anil Alpman & François Gardes, 2016. "Welfare Analysis of the Allocation of Time During the Great Recession," Post-Print halshs-01159507, HAL.
  75. Gurprit Grover & Vinay K. Gupta, 2015. "Multiple imputation of censored survival data in the presence of missing covariates using restricted mean survival time," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(4), pages 817-827, April.
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  85. François Gardes, 2018. "On the value of time and human life," Documents de travail du Centre d'Economie de la Sorbonne 18028, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
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  88. Anil Alpman & François Gardes, 2016. "Welfare Analysis of the Allocation of Time During the Great Recession," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01159507, HAL.
  89. Angelo Moretti & Natalie Shlomo, 2023. "Improving Probabilistic Record Linkage Using Statistical Prediction Models," International Statistical Review, International Statistical Institute, vol. 91(3), pages 368-394, December.
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  91. Okay Gunes, 2017. "Analysis of Households' Decision Using Full Demand Elasticity Estimates: an Estimation on Turkish Data," Documents de travail du Centre d'Economie de la Sorbonne 17017, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
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  96. François Gardes, 2021. "On the value of time and human life," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03325332, HAL.
  97. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
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