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Year of publication
Subject
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missing data 305 Missing data 277 Fehlende Daten 146 Theorie 83 Theory 77 Statistische Methode 68 Statistical method 67 Schätztheorie 66 Estimation theory 64 Schätzung 52 Datenerhebung 44 Estimation 44 Data collection 43 Panel 41 multiple imputation 41 Missing Data 39 Panel study 39 statistics 36 Regression analysis 32 Regressionsanalyse 32 Datenqualität 27 Data quality 26 survey 26 Prognoseverfahren 25 Nichtparametrisches Verfahren 24 Sampling 24 Stichprobenerhebung 24 Deutschland 23 Forecasting model 23 Imputation 23 Nonparametric statistics 23 time series 23 Germany 22 financial statistics 22 Bayesian inference 21 correlation 21 equation 21 imputation 21 surveys 21 Zeitreihenanalyse 20
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Online availability
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Free 308 Undetermined 236 CC license 10
Type of publication
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Book / Working Paper 313 Article 306 Other 12
Type of publication (narrower categories)
All
Article in journal 122 Aufsatz in Zeitschrift 122 Working Paper 117 Graue Literatur 79 Non-commercial literature 79 Arbeitspapier 73 Hochschulschrift 16 Thesis 16 research-article 11 Article 9 Dissertation u.a. Prüfungsschriften 7 Aufsatz im Buch 3 Book section 3 Bibliografie enthalten 2 Bibliography included 2 Lehrbuch 2 Textbook 2 Amtsdruckschrift 1 Bibliografie 1 Collection of articles written by one author 1 Conference paper 1 Forschungsbericht 1 Government document 1 Konferenzbeitrag 1 Research Report 1 Sammlung 1
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Language
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English 348 Undetermined 249 German 29 Italian 2 Spanish 2 Czech 1
Author
All
Dang, Hai-Anh 17 Carletto, Calogero 9 Linton, Oliver 9 Wang, Qihua 9 Frick, Joachim R. 8 Grabka, Markus M. 8 Härdle, Wolfgang 7 Verme, Paolo 7 Carroll, Raymond J. 6 Christoffel, Kai 6 Coenen, Günter 6 Shephard, Neil 6 Warne, Anders 6 Ziegelmeyer, Michael 6 Keane, Michael P. 5 Rässler, Susanne 5 Scheid, Sandro 5 Abanokova, Kseniya 4 Chib, Siddhartha 4 Eckert, Fabian 4 Gobillon, Laurent 4 Gourlay, Sydney 4 Magnac, Thierry 4 Millimet, Daniel L. 4 Ridder, Geert 4 Roux, Sébastien 4 Royston, Patrick 4 Rubin, Donald B. 4 Sauer, Robert M. 4 Schaller, Jannik 4 Schott, Peter K. 4 Anastasios A. Tsiatis 3 Balzarotti, Verónica 3 Breunig, Christoph 3 Bücker, Michael 3 Carlin, John B. 3 Castelpoggi, Fernando 3 Conniffe, Denis 3 Firpo, Sergio 3 Freyberger, Joachim 3
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Institution
All
International Monetary Fund (IMF) 37 International Monetary Fund 13 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 6 Institute for the Study of Labor (IZA) 5 Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 3 Department of Economics, Oxford University 3 Sonderforschungsbereich 373, Quantifikation und Simulation ökonomischer Prozesse, Wirtschaftswissenschaftliche Fakultät 3 Agricultural and Applied Economics Association - AAEA 2 Berkeley Electronic Press 2 C.E.P.R. Discussion Papers 2 Centre for Microdata Methods and Practice <London> 2 Department of Econometrics and Business Statistics, Monash Business School 2 Department of Economics, Fakulteit Ekonomiese en Bestuurswetenskappe 2 Department of Economics, University of Victoria 2 EERC Research Network, Russia and CIS 2 Economics Group, Nuffield College, University of Oxford 2 Economics and Finance Department, Jennings A. Jones College of Business 2 European Central Bank 2 Institute for Transportation Studies (ITS), University of California-Berkeley 2 National Bureau of Economic Research 2 Banco Central de la República Argentina 1 Business School, University of Sydney 1 CESifo 1 Center for Financial Studies 1 Center for Policy Research, Maxwell School 1 Centre d'Économie de la Sorbonne, Université Paris 1 (Panthéon-Sorbonne) 1 Centre for Health Economics, Department of Economics and Related Studies 1 Centro de Desenvolvimento e Planejamento Regional (Cedeplar), Universidade Federal de Minas Gerais 1 Centro de Investigación Económica (CIE), Departamento Académico de Economía 1 Cowles Foundation for Research in Economics, Yale University 1 DIW Berlin (Deutsches Institut für Wirtschaftsforschung) 1 Departament d'Economia, Facultat de Ciències Econòmiques i Empresarials 1 Department of Economics and Business, Universitat Pompeu Fabra 1 Department of Economics, National University of Ireland 1 Department of Economics, Simon Fraser University 1 Department of Economics, Tulane University 1 Department of Economics, University of California-San Diego (UCSD) 1 Department of Economics, University of Crete 1 Department of Economics, University of Kansas 1 Department of Quantitative Social Science, Institute of Education 1
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Published in...
All
Psychometrika 30 IMF Working Papers 25 IZA Discussion Papers 15 Stata Journal 13 IMF Staff Country Reports 12 Quality & Quantity: International Journal of Methodology 12 Computational Statistics & Data Analysis 11 Anwendungsorientierte Statistik 9 Discussion paper series / IZA 8 AStA Advances in Statistical Analysis 7 Sociological Methods & Research 7 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 6 Journal of econometrics 6 MPRA Paper 6 Allgemeines statistisches Archiv : AStA ; journal of the German Statistical Society 5 Journal of Classification 5 Organizational research methods : ORM 5 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 5 Annals of the Institute of Statistical Mathematics 4 European journal of operational research : EJOR 4 GLO discussion paper 4 Journal of Applied Statistics 4 Journal of Multivariate Analysis 4 Journal of the American Statistical Association : JASA 4 Statistical Papers / Springer 4 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 4 CEMMAP working papers / Centre for Microdata Methods and Practice 3 CORE Discussion Papers 3 Conflict Management and Peace Science 3 Discussion paper / Central Bureau voor de Statistiek 3 Discussion paper / Tinbergen Institute 3 ECB Working Paper 3 Economics Letters 3 Economics Series Working Papers / Department of Economics, Oxford University 3 Epidemiologic Methods 3 GLO Discussion Paper 3 IAB-Discussion Paper 3 International Journal of Biostatistics 3 Journal of Causal Inference 3 Journal of Educational and Behavioral Statistics 3
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Source
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RePEc 292 ECONIS (ZBW) 248 EconStor 54 BASE 14 USB Cologne (EcoSocSci) 12 Other ZBW resources 11
Showing 1 - 50 of 631
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Die neue Intrahandelsstatistik ab Januar 2025
Metzl, Sebastian; Franjić, Igor; Kolvenbach, Thomas - In: WISTA - Wirtschaft und Statistik 77 (2025) 1, pp. 37-47
Im Rahmen der Außenhandelsstatistik wird der Warenverkehr zwischen Deutschland und den anderen Mitgliedstaaten der Europäischen Union durch eine Befragung von Unternehmen erfasst. Neue innovative Verfahren und technischer Fortschritt im Statistischen Bundesamt und auf europäischer Ebene haben...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015327897
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Die neue Intrahandelsstatistik ab Januar 2025
Metzl, Sebastian; Franji´, Igor; Kolvenbach, Thomas - In: Wirtschaft und Statistik : WISTA (2025) 1, pp. 37-47
Im Rahmen der Außenhandelsstatistik wird der Warenverkehr zwischen Deutschland und den anderen Mitgliedstaaten der Europäischen Union durch eine Befragung von Unternehmen erfasst. Neue innovative Verfahren und technischer Fortschritt im Statistischen Bundesamt und auf europäischer Ebene haben...
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Innovations meet narratives : improving the power-credibility trade-off in macro
Barnichon, Régis; Mesters, Geert - 2025
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Observation-driven hierarchical density models for missing data imputation
Khanna, Yonas; Lucas, André - 2025
We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373862
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Lifecycle wages and human capital investments : selection and missing data
Gobillon, Laurent; Magnac, Thierry; Roux, Sébastien - 2025
We derive wage equations with individual specific coefficients from a structural model of human capital investment over the life cycle. This model allows for interruptions in labour market participation and deals with missing data and attrition problems. We propose a new framework that deals...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373879
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Lifecycle wages and human capital investments : selection and missing data
Gobillon, Laurent; Magnac, Thierry; Roux, Sébastien - 2025
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373973
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Missing data estimation based on the chaining technique in survey sampling
Thakur, Narendra Singh; Shukla, Diwakar - In: Statistics in transition : an international journal of … 23 (2022) 4, pp. 91-111
Sample surveys are often affected by missing observations and non-response caused by the respondents' refusal or unwillingness to provide the requested information or due to their memory failure. In order to substitute the missing data, a procedure called imputation is applied, which uses the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014287900
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Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda
Dang, Hai-Anh; Carletto, Calogero; Gourlay, Sydney; … - 2024
Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014550246
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Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda
Dang, Hai-Anh; Carletto, Calogero; Gourlay, Sydney; … - 2024
Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015045481
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Missing data substitution for enhanced robust filtering and forecasting in linear state-space models
Dobrev, Dobrislav; Szerszeń, Pawel J. - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015271337
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Effective machine learning techniques for dealing with poor credit data
Dumisani Selby Nkambule; Twala, Bhekisipho; Pretorious, … - In: Risks : open access journal 12 (2024) 11, pp. 1-19
Credit risk is a crucial component of daily financial services operations; it measures the likelihood that a borrower will default on a loan, incurring an economic loss. By analysing historical data for assessment of the creditworthiness of a borrower, lenders can reduce credit risk. Data are...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015135786
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Review of how the generalized regression estimators contribute to estimating the financial and economic data with missing observations under unequal probability sampling
Lawson, Nuanpan - In: Asian journal of economics and banking : AJEB 8 (2024) 3, pp. 445-459
Purpose - Knowing financial and economic information beforehand benefits in planning and developing policies for every country especially for a developing country like Thailand and for other Asian countries. Unfortunately, missing data or non-response plays an essential role in many areas of...
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Fitting copulas in the case of missing data
Liebscher, Eckhard - In: Statistical Papers 65 (2024) 6, pp. 3681-3711
In this paper we deal with parametric estimation of the copula in the case of missing data. The data items with the same pattern of complete and missing data are combined into a subset. This approach corresponds to the MCAR model for missing data. We construct a specific Cramér–von Mises...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015358820
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Cyclical time series: an empirical analysis of temperatures in central England over three centuries
Giraitis, Liudas; Marotta, Fulvia; Phillips, Peter C. B. - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015077133
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Addressing soil quality data gaps with imputation : evidence from Ethiopia and Uganda
Dang, Hai-Anh; Carletto, Calogero; Gourlay, Sydney; … - 2024
Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014550384
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Gone and forgotten? : predictors of birth history omissions in India
Sharma, Sharan; Desai, Sonalde; Barik, Debasis; Sharma, O.P. - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014551977
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Addressing soil quality data gaps with imputation : evidence from Ethiopia and Uganda
Dang, Hai-Anh; Carletto, Calogero; Gourlay, Sydney; … - 2024
Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014557745
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Improving realized LGD approximation : a novel framework with XGBoost for handling missing cash-flow data
Kostecka, Zuzanna; Ślepaczuk, Robert - 2024
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Marriage penalties and bonuses by race and ethnicity : an application of race and ethnicity imputation
Costello, Rachel; DeFilippes, Portia; Fisher, Robin; … - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014468791
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Constructing high frequency economic indicators by imputation
Ng, Serena; Scanlan, Susannah - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014528084
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Weighty evidence? : poverty estimation with missing data
Drèze, Jean; Somanchi, Anmol - In: Studies in microeconomics 12 (2024) 1, pp. 93-106
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Estimating poverty for refugees in data-scarce contexts : an application of cross-survey imputation
Dang, Hai-Anh; Verme, Paolo - 2021
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013184624
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Measurement error and farm size: Do nationally representative surveys provide reliable estimates?
Holden, Stein Terje; Makate, Clifton; Tione, Sarah - 2023
We assess the reliability of measured farm sizes (ownership holdings) in the Living Standard Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) in Ethiopia and Malawi based on three survey rounds (2012, 2014, 2016) in Ethiopia and four rounds (2010, 2013, 2016, 2019) in Malawi. By...
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The handling of missing data in trial-based economic evaluations : should data be multiply imputed prior to longitudinal linear mixed-model analyses?
Ben, Ângela Jornada; Dongen, Johanna M. van; El Alili, … - In: The European journal of health economics 24 (2023) 6, pp. 951-965
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Incorporating short data into large mixed-frequency VARs for regional nowcasting
Koop, Gary; McIntyre, Stuart; Mitchell, James; Poon, Aubrey - 2023
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Incorporating short data into large mixed- frequency VARs for regional nowcasting
Koop, Gary; McIntyre, Stuart; Mitchell, James; Poon, Aubrey - 2023
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014316254
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Measurement error and farm size : do nationally representative surveys provide reliable estimates?
Holden, Stein Terje; Makate, Clifton; Tione, Sarah - 2023
We assess the reliability of measured farm sizes (ownership holdings) in the Living Standard Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA) in Ethiopia and Malawi based on three survey rounds (2012, 2014, 2016) in Ethiopia and four rounds (2010, 2013, 2016, 2019) in Malawi....
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014575314
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Missing Data in Asset Pricing Panels
Freyberger, Joachim; Höppner, Björn; Neuhierl, Andreas; … - 2023
Missing data for return predictors is a common problem in cross sectional asset pricing. Most papers do not explicitly discuss how they deal with missing data but conventional treatments focus on the subset of firms with no missing data for any predictor or impute the unconditional mean. Both...
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Estimating poverty for refugees in data-scarce contexts : an application of cross-survey imputation
Dang, Hai-Anh; Verme, Paolo - In: Journal of population economics : international … 36 (2023) 2, pp. 653-679
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International investment agreements and foreign direct investment : a survey
Egger, Peter; Pirotte, Alain; Titi, Catharine - In: The world economy : the leading journal on … 46 (2023) 6, pp. 1524-1565
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Simple methods to handle missing data
Bici, Ruzhdie - In: International journal of computational economics and … 13 (2023) 2, pp. 216-242
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Missing data in asset pricing panels
Freyberger, Joachim; Hoeppner, Bjoern; Neuhierl, Andreas; … - 2025
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Hybrid multiple imputation in a large scale complex survey
Razzak, Humera; Heumann, Christian - In: Statistics in transition : an international journal of … 20 (2019) 4, pp. 33-58
Large-scale complex surveys typically contain a large number of variables measured on an even larger number of respondents. Missing data is a common problem in such surveys. Since usually most of the variables in a survey are categorical, multiple imputation requires robust methods for modelling...
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Missing data in Imputed Highest Grade Completed in the 2015-2018 NBER CPS extracts
Hersch, Joni; Mendoza Lopez, Fernando; Shinall, … - 2019
In 2015, the Current Population Survey (CPS) eliminated three questions related to educational attainment. These questions are used by the NBER to calculate the variable, "Imputed Highest Grade Completed" (ihigrdc) in their Monthly Outgoing Rotation Group (MORG) extracts. Imputed Highest Grade...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012100811
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Estimating poverty for refugee populations : can cross-survey imputation methods substitute for data scarcity?
Dang, Hai-Anh; Verme, Paolo - 2019
The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012140020
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Estimating poverty for refugee populations : can cross-survey imputation methods substitute for data scarcity?
Dang, Hai-Anh; Verme, Paolo - 2019
The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012140318
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Estimating poverty for refugee populations : can cross-survey imputation methods substitute for data scarcity?
Dang, Hai-Anh; Verme, Paolo - 2019
The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012167998
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Nowcasting the Maltese economy with a dynamic factor model
Ellul, Reuben; Ruisi, Germano - 2022
This paper describes a dynamic factor model for the Maltese economy. The model mainly serves as a tool to timely provide the Central Bank of Malta with nowcasts as well as short-term forecasts of the growth rate of the real gross domestic product, which in turn are used as an input in the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013483516
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Estimation of parametric binary outcome models with degenerate pure choice-based data with application to Covid-19-positive tests from British Columbia
Kashaev, Nail - 2022
I propose a generalized method of moments type procedure to estimate parametric binary choice models when the researcher only observes degenerate pure choices-based or presence-only data and has some information about the distribution of the covariates. This auxiliary information comes in the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014278366
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Evaluating data fusion methods to improve income modelling
Emmenegger, Jana; Münnich, Ralf T.; Schaller, Jannik - 2022
Income is an important economic indicator to measure living standards and individual well-being. In Germany, there exist different data sources that yield ambiguous evidence when analysing the income distribution. The Tax Statistics (TS) - an income register recording the total population of...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014296321
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Missing data estimation based on the chaining technique in survey sampling
Thakur, Narendra Singh; Shukla, Diwakar - In: Statistics in Transition new series (SiTns) 23 (2022) 4, pp. 91-111
Sample surveys are often affected by missing observations and non-response caused by the respondents' refusal or unwillingness to provide the requested information or due to their memory failure. In order to substitute the missing data, a procedure called imputation is applied, which uses the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015051624
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Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation
Dang, Hai-Anh H.; Carletto, Calogero - 2022
Smallholder farming dominates agriculture in poorer countries. Yet, traditional recall-based surveys on smallholder farming in these countries face challenges with seasonal variations, high survey costs, poor record-keeping, and technical capacity constraints resulting in significant recall...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012797686
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Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation
Dang, Hai-Anh; Carletto, Calogero - 2022
Smallholder farming dominates agriculture in poorer countries. Yet, traditional recall-based surveys on smallholder farming in these countries face challenges with seasonal variations, high survey costs, poor record-keeping, and technical capacity constraints resulting in significant recall...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012882573
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Imputing Missing Values in the Us Census Bureau's County Business Patterns
Eckert, Fabian; Fort, Teresa; Schott, Peter K.; Yang, … - 2022
The County Business Patterns data published by the US Census Bureau track employment by county and industry from 1946 to the present. Two features of the data limit their usefulness to researchers: (1) employment for the majority of county-industry cells is suppressed to protect confidentiality,...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013324539
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Evaluating data fusion methods to improve income modelling
Emmenegger, Jana; Münnich, Ralf T.; Schaller, Jannik - 2022
Income is an important economic indicator to measure living standards and individual well-being. In Germany, there exist different data sources that yield ambiguous evidence when analysing the income distribution. The Tax Statistics (TS) - an income register recording the total population of...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012820841
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Lifecycle wages and human capital investments : selection and missing data
Gobillon, Laurent; Magnac, Thierry; Roux, Sébastien - 2022 - This version: February 2, 2022
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012813807
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Nowcasting the Maltese economy with a dynamic factor model
Ellul, Reuben; Ruisi, Germano - 2022
This paper describes a dynamic factor model for the Maltese economy. The model mainly serves as a tool to timely provide the Central Bank of Malta with nowcasts as well as short-term forecasts of the growth rate of the real gross domestic product, which in turn are used as an input in the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012818645
Saved in:
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Recall bias revisited : measure farm labor using mixed-mode surveys and multiple imputation
Dang, Hai-Anh; Carletto, Calogero - 2022
Smallholder farming dominates agriculture in poorer countries. Yet, traditional recall-based surveys on smallholder farming in these countries face challenges with seasonal variations, high survey costs, poor record-keeping, and technical capacity constraints resulting in significant recall...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012798349
Saved in:
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Recall bias revisited: measure farm labor using mixed-mode surveys and multiple imputation
Dang, Hai-Anh; Carletto, Calogero - 2022
Smallholder farming dominates agriculture in poorer countries. Yet, traditional recall-based surveys on smallholder farming in these countries face challenges with seasonal variations, high survey costs, poor record-keeping, and technical capacity constraints resulting in significant recall...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012804482
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On Missing Data Imputation for IRB Models
Liu, Yang - 2022
Often, model development starts with missing data treatment. For regulatory internal rating based (IRB) models, missing data raise data quality concerns around system and process whereas the randomness nature of missing is sometimes overlooked, resulting inappropriate choice of imputation...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013305872
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