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Tony Lancaster

(deceased)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Tony Lancaster & Sung Jae Jun, 2010. "Bayesian quantile regression methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 287-307.

    Mentioned in:

    1. Bayesian quantile regression methods (Journal of Applied Econometrics 2010) in ReplicationWiki ()

Working papers

  1. Sung Jae Jun & Tony Lancaster, 2006. "Bayesian quantile regression," CeMMAP working papers CWP05/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Giuseppe Ragusa, 2007. "Bayesian Likelihoods for Moment Condition Models," Working Papers 060714, University of California-Irvine, Department of Economics.
    2. Gareth W. Peters, 2018. "General Quantile Time Series Regressions for Applications in Population Demographics," Risks, MDPI, vol. 6(3), pages 1-47, September.

  2. Tony Lancaster, 2006. "A note on bootstraps and robustness," CeMMAP working papers CWP04/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Phillips, Peter C.B., 2005. "Automated Discovery In Econometrics," Econometric Theory, Cambridge University Press, vol. 21(1), pages 3-20, February.
    2. James G. MacKinnon, 2012. "Thirty Years Of Heteroskedasticity-robust Inference," Working Paper 1268, Economics Department, Queen's University.

  3. Imbens, G. & Lancaster, T., 1992. "Case-Control Studies with Contaminated Controls," Harvard Institute of Economic Research Working Papers 1612, Harvard - Institute of Economic Research.

    Cited by:

    1. Jing Qin & Denis H. Y. Leung, 2004. "A Semi-parametric Two-component “Compound” Mixture Model and Its Application to Estimating Malaria Attributable Fractions," Working Papers 17-2004, Singapore Management University, School of Economics.
    2. Cristina Butucea & Pierre Vandekerkhove, 2014. "Semiparametric Mixtures of Symmetric Distributions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(1), pages 227-239, March.
    3. Robert M. Dorazio, 2012. "Predicting the Geographic Distribution of a Species from Presence-Only Data Subject to Detection Errors," Biometrics, The International Biometric Society, vol. 68(4), pages 1303-1312, December.
    4. Leandro Siqueira Carvalho & Rodrigo R. Soares, 2013. "Living on the Edge: Youth Entry, Career and Exit in Drug-Selling Gangs," Textos para discussão 605, Department of Economics PUC-Rio (Brazil).
    5. Małgorzata Łazęcka & Jan Mielniczuk & Paweł Teisseyre, 2021. "Estimating the class prior for positive and unlabelled data via logistic regression," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(4), pages 1039-1068, December.
    6. Becker, Bo & Cronqvist, Henrik & Fahlenbrach, Rüdiger, 2011. "Estimating the Effects of Large Shareholders Using a Geographic Instrument," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(4), pages 907-942, August.
    7. Ashton, John & Burnett, Tim & Diaz-Rainey, Ivan & Ormosi, Peter, 2021. "Known unknowns: How much financial misconduct is detected and deterred?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    8. Petra Moser & Alessandra Voena, 2010. "Compulsory Licensing: Evidence from the Trading with the Enemy Act," Discussion Papers 09-026, Stanford Institute for Economic Policy Research.
    9. Yang Ning & Yong Chen, 2015. "A Class of Pseudolikelihood Ratio Tests for Homogeneity in Exponential Tilt Mixture Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(2), pages 504-517, June.
    10. Adam M. Kleinbaum & Toby E. Stuart & Michael L. Tushman, 2013. "Discretion Within Constraint: Homophily and Structure in a Formal Organization," Organization Science, INFORMS, vol. 24(5), pages 1316-1336, October.
    11. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    12. Erard, Brian, 2017. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A New and More Versatile Approach," MPRA Paper 99887, University Library of Munich, Germany, revised 26 Apr 2020.
    13. John Ashton & Tim Burnett & Ivan Diaz Rainey & Peter L. Ormosi, 2018. "Has the financial regulatory environment improved in the UK? Capture-Recapture approach to estimate detection and deterrence," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2018-03, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    14. Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
    15. Lancaster, Tony, 1997. "Bayes WESML Posterior inference from choice-based samples," Journal of Econometrics, Elsevier, vol. 79(2), pages 291-303, August.
    16. Jing Qin & Kung-Yee Liang, 2011. "Hypothesis Testing in a Mixture Case–Control Model," Biometrics, The International Biometric Society, vol. 67(1), pages 182-193, March.
    17. Jing Cheng & Jing Qin & Biao Zhang, 2009. "Semiparametric estimation and inference for distributional and general treatment effects," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(4), pages 881-904, September.
    18. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers 07/03, Institute for Fiscal Studies.
    19. Gill Ward & Trevor Hastie & Simon Barry & Jane Elith & John R. Leathwick, 2009. "Presence-Only Data and the EM Algorithm," Biometrics, The International Biometric Society, vol. 65(2), pages 554-563, June.
    20. Shi Chang & Rohan Singh Wilkho & Nasir Gharaibeh & Garett Sansom & Michelle Meyer & Francisco Olivera & Lei Zou, 2023. "Environmental, climatic, and situational factors influencing the probability of fatality or injury occurrence in flash flooding: a rare event logistic regression predictive model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3957-3978, April.
    21. Erard, Brian & Langetieg, Patrick & Payne, Mark & Plumley, Alan, 2020. "Ghosts in the Income Tax Machinery," MPRA Paper 100036, University Library of Munich, Germany.
    22. Butler, J. S., 2000. "Efficiency results of MLE and GMM estimation with sampling weights," Journal of Econometrics, Elsevier, vol. 96(1), pages 25-37, May.
    23. Amanda Coston & Edward H. Kennedy, 2022. "The role of the geometric mean in case-control studies," Papers 2207.09016, arXiv.org.
    24. Sung Jae Jun & Sokbae (Simon) Lee, 2020. "Causal inference in case-control studies," CeMMAP working papers CWP19/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    26. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    27. Caponi, Vincenzo & Plesca, Miana, 2013. "Empirical Characteristics of Legal and Illegal Immigrants in the U.S," IZA Discussion Papers 7304, Institute of Labor Economics (IZA).
    28. Erard, Brian, 2017. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A Calibrated Qualitative Response Estimation Approach," MPRA Paper 79927, University Library of Munich, Germany.
    29. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Lee, Kangbok & Joo, Sunghoon & Baik, Hyeoncheol & Han, Sumin & In, Joonhwan, 2020. "Unbalanced data, type II error, and nonlinearity in predicting M&A failure," Journal of Business Research, Elsevier, vol. 109(C), pages 271-287.
    31. Ramalho, Esmeralda A., 2007. "Binary models with misclassification in the variable of interest and nonignorable nonresponse," Economics Letters, Elsevier, vol. 96(1), pages 70-76, July.
    32. Jing Qin & Denis H. Y. Leung, 2005. "A Semiparametric Two-Component “Compound” Mixture Model and Its Application to Estimating Malaria Attributable Fractions," Biometrics, The International Biometric Society, vol. 61(2), pages 456-464, June.
    33. Bruce Meyer & Nikolas Mittag, 2014. "Misclassification in Binary Choice Models," NBER Working Papers 20509, National Bureau of Economic Research, Inc.
    34. Wenkai Li & Yuanchi Liu & Ziyue Liu & Zhen Gao & Huabing Huang & Weijun Huang, 2022. "A Positive-Unlabeled Learning Algorithm for Urban Flood Susceptibility Modeling," Land, MDPI, vol. 11(11), pages 1-17, November.

  4. Imbens, G.W. & Lancaster, T., 1991. "Combining Micro and Macro Data in Microeconometric Models," Harvard Institute of Economic Research Working Papers 1578, Harvard - Institute of Economic Research.

    Cited by:

    1. Fei Gao & K. C. G. Chan, 2023. "Noniterative adjustment to regression estimators with population‐based auxiliary information for semiparametric models," Biometrics, The International Biometric Society, vol. 79(1), pages 140-150, March.
    2. Del Bono, Emilia & Ermisch, John & Francesconi, Marco, 2008. "Intrafamily Resource Allocations: A Dynamic Model of Birth Weight," IZA Discussion Papers 3704, Institute of Labor Economics (IZA).
    3. Güell, Maia & Hu, Luojia, 2003. "Estimating the Probability of Leaving Unemployment Using Uncompleted Spells from Repeated Cross-Section Data," CEPR Discussion Papers 3957, C.E.P.R. Discussion Papers.
    4. Guido W. Imbens & Judith K. Hellerstein, 1996. "Imposing Moment Restrictions from Auxiliary Data by Weighting," NBER Technical Working Papers 0202, National Bureau of Economic Research, Inc.
    5. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of income Dynamics," Economics Working Paper Archive 379, The Johns Hopkins University,Department of Economics.
    6. Peter Arcidiacono & Holger Sieg & Frank Sloan, 2001. "Living Rationally Under the Volcano? An Empirical Analysis of Heavy Drinking and Smoking," NBER Working Papers 8602, National Bureau of Economic Research, Inc.
    7. Anne-Gisèle Privat, 2005. "L'avenir des retraites en France: Evalutation de l'impact des réformes de 1993 et de 2033 à l'aide du modèle de microsimulation Artémis," Sciences Po publications info:hdl:2441/f4rshpf3v1u, Sciences Po.
    8. van Dijk, Bram & Paap, Richard, 2008. "Explaining individual response using aggregated data," Journal of Econometrics, Elsevier, vol. 146(1), pages 1-9, September.
    9. Ibáñez, Ana María & Muñoz, Juan Carlos & Verwimp, Philip, 2013. "Abandoning Coffee under the Threat of Violence and the Presence of Illicit Crops. Evidence from Colombia," Documentos CEDE Series 161356, Universidad de Los Andes, Economics Department.
    10. V. Smith & Subhrendu Pattanayak, 2002. "Is Meta-Analysis a Noah's Ark for Non-Market Valuation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 271-296, June.
    11. Geyer, Judy, 2017. "Housing demand and neighborhood choice with housing vouchers," Journal of Urban Economics, Elsevier, vol. 99(C), pages 48-61.
    12. Amine Ouazad & Romain Rancière, 2019. "City Equilibrium With Borrowing Constraints: Structural Estimation And General Equilibrium Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 721-749, May.
    13. Robert Clark & Jason Allen & Jean-Francois Houde, 2010. "Price negotiation in differentiated product markets: An analysis of the market for insured mortgages in Canada," 2010 Meeting Papers 1072, Society for Economic Dynamics.
    14. Esmeralda A. Ramalho & Joaquim J. S. Ramalho, 2006. "Two‐Step Empirical Likelihood Estimation Under Stratified Sampling When Aggregate Information Is Available," Manchester School, University of Manchester, vol. 74(5), pages 577-592, September.
    15. Imbens, G.W. & Lancaster, T., 1993. "Case-Control Studies with Contaminated Controls," Other publications TiSEM 2c3f716c-cded-45a2-9db7-7, Tilburg University, School of Economics and Management.
    16. Adam N. Glynn & Jon Wakefield & Mark S. Handcock & Thomas S. Richardson, 2008. "Alleviating linear ecological bias and optimal design with subsample data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 179-202, January.
    17. Naoki Aizawa & Hanming Fang, 2013. "Equilibrium Labor Market Search and Health Insurance Reform," PIER Working Paper Archive 13-002, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    18. Arthur Charpentier & Mathieu Pigeon, 2016. "Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective)," Risks, MDPI, vol. 4(2), pages 1-18, May.
    19. Matthew D. Cocci & Mikkel Plagborg-M{o}ller, 2021. "Standard Errors for Calibrated Parameters," Papers 2109.08109, arXiv.org, revised Oct 2023.
    20. Ryosuke Igari & Takahiro Hoshino, 2018. "A Bayesian Gamma Frailty Model Using the Sum of Independent Random Variables: Application of the Estimation of an Interpurchase Timing Model," Keio-IES Discussion Paper Series 2018-021, Institute for Economics Studies, Keio University.
    21. Ziqi Chen & Jing Ning & Yu Shen & Jing Qin, 2021. "Combining primary cohort data with external aggregate information without assuming comparability," Biometrics, The International Biometric Society, vol. 77(3), pages 1024-1036, September.
    22. Seojeong Lee, 2013. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Discussion Papers 2013-09, School of Economics, The University of New South Wales.
    23. Galenianos, Manolis & Gavazza, Alessandro, 2017. "A structural model of the retail market for illicit drugs," LSE Research Online Documents on Economics 80287, London School of Economics and Political Science, LSE Library.
    24. Thierry Debrand & Sophie Pennec & Anne-Gisèle Privat, 2003. "Un modèle de microsimulation pour la projection des retraites du régime général," Economie & Prévision, La Documentation Française, vol. 0(4), pages 215-230.
    25. König, Heinz & Lechner, Michael, 1994. "Some recent developments in microeconometrics: A survey," ZEW Discussion Papers 94-12, ZEW - Leibniz Centre for European Economic Research.
    26. Mihai Giurcanu & Brett Presnell, 2018. "Bootstrap inference for misspecified moment condition models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(3), pages 605-630, June.
    27. Laura Mayoral, 2009. "Heterogeneous dynamics, aggregation and the persistence of economic shocks," UFAE and IAE Working Papers 786.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    28. Esmeralda A. Ramalho & Joaquim J. S. Ramalho & Rui Evangelista, 2017. "Combining micro and macro data in hedonic price indexes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(2), pages 317-332, June.
    29. Igari, Ryosuke & Hoshino, Takahiro, 2018. "A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 150-166.
    30. Liu, Tianqing & Yuan, Xiaohui, 2012. "Combining quasi and empirical likelihoods in generalized linear models with missing responses," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 39-58.
    31. Michael Rendall & Ryan Admiraal & Alessandra DeRose & Paola DiGiulio & Mark Handcock & Filomena Racioppi, 2008. "Population constraints on pooled surveys in demographic hazard modeling," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(4), pages 519-539, October.
    32. Cao, Yongxiu & Yu, Jichang, 2023. "Adjusting for unmeasured confounding in survival causal effect using validation data," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).
    33. Naoki Aizawa & Hanming Fang, 2015. "Equilibrium Labor Market Search and Health Insurance Reform, Second Version," PIER Working Paper Archive 15-024, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Jun 2015.
    34. Amil Petrin, 2001. "Quantifying the Benefits of New Products: The Case of the Minivan," NBER Working Papers 8227, National Bureau of Economic Research, Inc.
    35. Devereux, Paul J. & Tripathi, Gautam, 2009. "Optimally combining censored and uncensored datasets," Journal of Econometrics, Elsevier, vol. 151(1), pages 17-32, July.
    36. Gad Allon & Awi Federgruen & Margaret Pierson, 2011. "How Much Is a Reduction of Your Customers' Wait Worth? An Empirical Study of the Fast-Food Drive-Thru Industry Based on Structural Estimation Methods," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 489-507, October.
    37. Levinsohn, James & Berry, Steven & Pakes, Ariel, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Scholarly Articles 3436404, Harvard University Department of Economics.
    38. Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
    39. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.
    40. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
    41. Matthew D. Cocci & Mikkel Plagborg-Møller, 2021. "Standard Errors for Calibrated Parameters," Working Papers 2021-20, Princeton University. Economics Department..
    42. Ichino, Andrea & Polo, Michele & Rettore, Enrico, 2003. "Are judges biased by labor market conditions?," European Economic Review, Elsevier, vol. 47(5), pages 913-944, October.
    43. Smith, V. Kerry & Pattanayak, Subhrendu K. & Van Houtven, George L., 2006. "Structural benefit transfer: An example using VSL estimates," Ecological Economics, Elsevier, vol. 60(2), pages 361-371, December.
    44. Satoshi Myojo & Yuichiro Kanazawa, 2010. "On Asymptotic Properties of the Parameters of Differentiated Product Demand and Supply Systems When Demographically-Categorized Purchasing Pattern Data are Available," Discussion Papers 1009, Graduate School of Economics, Kobe University.
    45. van den Berg, Gerard J. & van der Klaauw, Bas, 2001. "Combining micro and macro unemployment duration data," Journal of Econometrics, Elsevier, vol. 102(2), pages 271-309, June.
    46. Yves G. Berger, 2020. "An empirical likelihood approach under cluster sampling with missing observations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(1), pages 91-121, February.
    47. de Roos, Nicolas & McKenzie, Jordi, 2014. "Cheap Tuesdays and the demand for cinema," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 93-109.
    48. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Misclassification in binary choice models," Journal of Econometrics, Elsevier, vol. 200(2), pages 295-311.
    49. Rajeev K. Goel & Ummad Mazhar & Rati Ram, 2022. "Dimensions of size and corruption perceptions versus corruption experiences by firms in emerging economies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 374-396, April.
    50. Sikandar Siddiqui, 1997. "The impact of health on retirement behaviour: empirical evidence from West Germany," Health Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 425-438, July.
    51. Takahiro Hoshino & Ryosuke Igari, 2017. "Quasi-Bayesian Inference for Latent Variable Models with External Information: Application to generalized linear mixed models for biased data," Keio-IES Discussion Paper Series 2017-014, Institute for Economics Studies, Keio University.
    52. Lancaster, Tony, 1997. "Bayes WESML Posterior inference from choice-based samples," Journal of Econometrics, Elsevier, vol. 79(2), pages 291-303, August.
    53. Jayawardhana, Jayani, 2013. "Direct-to-consumer advertising and consumer welfare," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 164-180.
    54. Machado, Matilde & Carro, Jesus & Mora, Ricardo, 2014. "Transmission of preferences and beliefs about female labor market participation: direct evidence on the role of mothers," CEPR Discussion Papers 10218, C.E.P.R. Discussion Papers.
    55. 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.
    56. Xiao, Wei, 2008. "The Competitive and Welfare Effects of New Product Introduction: The Case of Crystal Pepsi," Research Reports 149938, University of Connecticut, Food Marketing Policy Center.
    57. Denis Heng Yan Leung & Ken Yamada & Biao Zhang, 2015. "Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 155-179, March.
    58. Hui Huang & Xiaomei Ma & Rasmus Waagepetersen & Theodore R. Holford & Rong Wang & Harvey Risch & Lloyd Mueller & Yongtao Guan, 2014. "A New Estimation Approach for Combining Epidemiological Data From Multiple Sources," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 11-23, March.
    59. O’Connell, Martin & Smith, Howard & Thomassen, Øyvind, 2023. "A two sample size estimator for large data sets," Discussion Papers 2023/1, Norwegian School of Economics, Department of Business and Management Science.
    60. d'Haultfoeuille, Xavier, 2010. "A new instrumental method for dealing with endogenous selection," Journal of Econometrics, Elsevier, vol. 154(1), pages 1-15, January.
    61. Michael S. Rendall & Ryan Admiraal & Alessandra De Rose & Paola Di Giulio & Mark S. Handcock & Filomena Racioppi, 2006. "Population constraints on pooled surveys in demographic hazard modeling," MPIDR Working Papers WP-2006-039, Max Planck Institute for Demographic Research, Rostock, Germany.
    62. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers 07/03, Institute for Fiscal Studies.
    63. 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.
    64. Berg, Gerard J. van den & Klaauw, Bas van der, 1998. "Combining micro and macro unemployment data," Serie Research Memoranda 0041, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    65. Laura Liu & Mikkel Plagborg-M?ller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," CAEPR Working Papers 2021-001 Classification- , Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    66. Laura Liu & Mikkel Plagborg‐Møller, 2023. "Full‐information estimation of heterogeneous agent models using macro and micro data," Quantitative Economics, Econometric Society, vol. 14(1), pages 1-35, January.
    67. Michael S. Rendall & Mark S. Handcock & Stefan H. Jonsson, 2007. "Bayesian Estimation of Hispanic Fertility Hazards from Survey and Population Data," Working Papers WR-496, RAND Corporation.
    68. Han Zhang & Lu Deng & William Wheeler & Jing Qin & Kai Yu, 2022. "Integrative analysis of multiple case‐control studies," Biometrics, The International Biometric Society, vol. 78(3), pages 1080-1091, September.
    69. Atsushi Inoue & Tong Li & Qi Xu, 2021. "Two Sample Unconditional Quantile Effect," Papers 2105.09445, arXiv.org.
    70. Jesús M. Carro & Matilde P. Machado & Ricardo Mora, 2023. "The role of mothers on female labour force participation: an approach using historical parish records," Empirical Economics, Springer, vol. 65(3), pages 1345-1384, September.
    71. Wakamori, Naoki, 2015. "Portfolio Considerations in Differentiated Product Purchases: An Application to the Japanese Automobile Market," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 499, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    72. Emilia Del Bono & John Ermisch & Marco Francesconi, 2012. "Intrafamily Resource Allocations: A Dynamic Structural Model of Birth Weight," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 657-706.
    73. Brännlund, Runar & Nordström, Jonas, 2001. "Modelling Consumer Demand and Household Labour Supply: Welfare Effects of Increasing Carbon Taxes," Umeå Economic Studies 571, Umeå University, Department of Economics.
    74. F Bravo, 2008. "Effcient M-estimators with auxiliary information," Discussion Papers 08/26, Department of Economics, University of York.
    75. Dardanoni, V.; & Laudicella, M.; & Li Donni, P.;, 2018. "Hospital Choice in the NHS," Health, Econometrics and Data Group (HEDG) Working Papers 18/04, HEDG, c/o Department of Economics, University of York.
    76. Sergio Aquino de Souza, 2008. "Combining Prior Information and Data to Uncover the Parameters from the Random Coefficient Discrete? Choice Demand Model," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211342080, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    77. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    78. Nevo, Aviv, 2003. "Using Weights to Adjust for Sample Selection When Auxiliary Information Is Available," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 43-52, January.
    79. Yves G. Berger, 2023. "Unconditional empirical likelihood approach for analytic use of public survey data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 383-410, March.
    80. Hirukawa, Masayuki & Prokhorov, Artem, 2018. "Consistent estimation of linear regression models using matched data," Journal of Econometrics, Elsevier, vol. 203(2), pages 344-358.
    81. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    82. Bayram, Deniz & Dayé, Modeste, 2014. "Asymptotic Properties of the Weighted Least Squares Estimator Under Moments Restriction," MPRA Paper 60465, University Library of Munich, Germany.
    83. Paulo Albuquerque & Bart J. Bronnenberg, 2009. "Estimating Demand Heterogeneity Using Aggregated Data: An Application to the Frozen Pizza Category," Marketing Science, INFORMS, vol. 28(2), pages 356-372, 03-04.
    84. Canback, Staffan & D'Agnese, Frank, 2007. "Where in the world is the market? : The income distribution approach to understanding consumer demand in emerging countries," MPRA Paper 13854, University Library of Munich, Germany.
    85. George Z. Gui, 2020. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Papers 2010.05117, arXiv.org, revised Dec 2023.
    86. Ryo Kato & Takahiro Hoshino, 2020. "Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments," Discussion Paper Series DP2020-06, Research Institute for Economics & Business Administration, Kobe University.
    87. Ramalho, Esmeralda A., 2002. "Regression models for choice-based samples with misclassification in the response variable," Journal of Econometrics, Elsevier, vol. 106(1), pages 171-201, January.
    88. Satoshi Myojo & Yuichiro Kanazawa, 2012. "On Asymptotic Properties Of The Parameters Of Differentiated Product Demand And Supply Systems When Demographically Categorized Purchasing Pattern Data Are Available," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 887-938, August.
    89. Bruce Meyer & Nikolas Mittag, 2014. "Misclassification in Binary Choice Models," NBER Working Papers 20509, National Bureau of Economic Research, Inc.
    90. Hui Li, 2019. "Intertemporal Price Discrimination with Complementary Products: E-Books and E-Readers," Management Science, INFORMS, vol. 67(6), pages 2665-2694, June.
    91. Qian, Hailong & Schmidt, Peter, 1999. "Improved instrumental variables and generalized method of moments estimators," Journal of Econometrics, Elsevier, vol. 91(1), pages 145-169, July.
    92. Naoki Aizawa & You Suk Kim, 2015. "Advertising and Risk Selection in Health Insurance Markets," Finance and Economics Discussion Series 2015-101, Board of Governors of the Federal Reserve System (U.S.).
    93. Davis, Peter, 2000. "Empirical models of demand for differentiated products," European Economic Review, Elsevier, vol. 44(4-6), pages 993-1005, May.
    94. Yu‐Jen Cheng & Yen‐Chun Liu & Chang‐Yu Tsai & Chiung‐Yu Huang, 2023. "Semiparametric estimation of the transformation model by leveraging external aggregate data in the presence of population heterogeneity," Biometrics, The International Biometric Society, vol. 79(3), pages 1996-2009, September.
    95. Philipson, Tomas & Malani, Anup, 1999. "Measurement errors: A principal investigator-agent approach," Journal of Econometrics, Elsevier, vol. 91(2), pages 273-298, August.
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    97. Leora Friedberg & Steven Stern, 2014. "Marriage, Divorce, And Asymmetric Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1155-1199, November.
    98. Yuan, Xiaohui & Liu, Tianqing & Lin, Nan & Zhang, Baoxue, 2010. "Combining conditional and unconditional moment restrictions with missing responses," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2420-2433, November.
    99. Guevara, C. Angelo & Ben-Akiva, Moshe E., 2013. "Sampling of alternatives in Multivariate Extreme Value (MEV) models," Transportation Research Part B: Methodological, Elsevier, vol. 48(C), pages 31-52.
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    101. Martin, Simon, 2020. "Market transparency and consumer search - Evidence from the German retail gasoline market," DICE Discussion Papers 350, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

  5. Imbens, G. & Lancaster, T., 1991. "Efficient Estimation And Stratified Sampling," Harvard Institute of Economic Research Working Papers 1545, Harvard - Institute of Economic Research.

    Cited by:

    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of income Dynamics," Economics Working Paper Archive 379, The Johns Hopkins University,Department of Economics.
    2. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    3. van den Berg, Gerard J. & Vikström, Johan, 2009. "Monitoring job offer decisions, punishments, exit to work, and job quality," Working Paper Series 2009:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    4. Epstein, Gil S & Ward-Warmedinger, Melanie & Kunze, Astrid, 2002. "High Skilled Migration and the Exertion of Effort by the Local Population," CEPR Discussion Papers 3477, C.E.P.R. Discussion Papers.
    5. William J Carrington & John L Eltinge & Kristin McCue, 2000. "An Economist's Primer on Survey Samples," Working Papers 00-15, Center for Economic Studies, U.S. Census Bureau.
    6. Magee, L. & Robb, A. L. & Burbidge, J. B., 1998. "On the use of sampling weights when estimating regression models with survey data," Journal of Econometrics, Elsevier, vol. 84(2), pages 251-271, June.
    7. Imbens, G.W. & Lancaster, T., 1993. "Case-Control Studies with Contaminated Controls," Other publications TiSEM 2c3f716c-cded-45a2-9db7-7, Tilburg University, School of Economics and Management.
    8. Maalouf, Maher & Trafalis, Theodore B., 2011. "Robust weighted kernel logistic regression in imbalanced and rare events data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 168-183, January.
    9. Ramalho Esmeralda A., 2010. "Covariate Measurement Error: Bias Reduction under Response-Based Sampling," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-34, September.
    10. Adham Alsharkawi & Mohammad Al-Fetyani & Maha Dawas & Heba Saadeh & Musa Alyaman, 2021. "Poverty Classification Using Machine Learning: The Case of Jordan," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    11. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    12. Jieli Ding & Tsui-Shan Lu & Jianwen Cai & Haibo Zhou, 2017. "Recent progresses in outcome-dependent sampling with failure time data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(1), pages 57-82, January.
    13. Joaquim J.S. Ramalho & Esmeralda Ramalho, 2005. "Bias-corrected Moment-based Estimators for Parametric Models under Endogenous Stratified Sampling," Economics Working Papers 11_2005, University of Évora, Department of Economics (Portugal).
    14. Masahiro Kato & Masatoshi Uehara & Shota Yasui, 2020. "Off-Policy Evaluation and Learning for External Validity under a Covariate Shift," Papers 2002.11642, arXiv.org, revised Oct 2020.
    15. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    16. Casaburi, Lorenzo & Minerva, G. Alfredo, 2011. "Production in advance versus production to order: The role of downstream spatial clustering and product differentiation," Journal of Urban Economics, Elsevier, vol. 70(1), pages 32-46, July.
    17. Hyytinen, Ari & Väänänen, Lotta, 2004. "Could Mr. and Mrs. Capital Market Imperfection Please Step Forward? An Empirical Analysis of Adverse Selection and Moral Hazard in Capital Markets," Discussion Papers 887, The Research Institute of the Finnish Economy.
    18. Buchinsky, Moshe & Li, Fanghua & Liao, Zhipeng, 2022. "Estimation and inference of semiparametric models using data from several sources," Journal of Econometrics, Elsevier, vol. 226(1), pages 80-103.
    19. Jasjit Singh & Matt Marx, 2013. "Geographic Constraints on Knowledge Spillovers: Political Borders vs. Spatial Proximity," Management Science, INFORMS, vol. 59(9), pages 2056-2078, September.
    20. Ravi Bapna & Alok Gupta & Gautam Ray & Shweta Singh, 2023. "Single-Sourcing vs. Multisourcing: An Empirical Analysis of Large Information Technology Outsourcing Arrangements," Information Systems Research, INFORMS, vol. 34(3), pages 1109-1130, September.
    21. Seth H. Giertz, 2006. "The Elasticity of Taxable Income During the 1990s: A Sensitivity Analysis: Working Paper 2006-03," Working Papers 17611, Congressional Budget Office.
    22. Tomz, Michael & King, Gary & Zeng, Langche, 2003. "ReLogit: Rare Events Logistic Regression," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i02).
    23. Amanda Coston & Edward H. Kennedy, 2022. "The role of the geometric mean in case-control studies," Papers 2207.09016, arXiv.org.
    24. Sung Jae Jun & Sokbae (Simon) Lee, 2020. "Causal inference in case-control studies," CeMMAP working papers CWP19/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Seth H. Giertz, 2008. "A Sensitivity Analysis of the Elasticity of Taxable Income: Working Paper 2008-01," Working Papers 19435, Congressional Budget Office.
    26. Kyungchul Song, 2009. "Efficient Estimation of Average Treatment Effects under Treatment-Based Sampling," PIER Working Paper Archive 09-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    27. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    28. Bhattacharya, Debopam, 2005. "Asymptotic inference from multi-stage samples," Journal of Econometrics, Elsevier, vol. 126(1), pages 145-171, May.
    29. Roth, Jonathan & Martin, Amory & Miller, Clayton & Jain, Rishee K., 2020. "SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods," Applied Energy, Elsevier, vol. 280(C).
    30. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Ramalho, Esmeralda A., 2007. "Binary models with misclassification in the variable of interest and nonignorable nonresponse," Economics Letters, Elsevier, vol. 96(1), pages 70-76, July.
    32. Tripathi, Gautam, 2011. "Generalized method of moments (GMM) based inference with stratified samples when the aggregate shares are known," Journal of Econometrics, Elsevier, vol. 165(2), pages 258-265.
    33. Esmeralda Ramalho & Joaquim Ramalho, 2007. "On the weighted maximum likelihood estimator for endogenous stratified samples when the population strata probabilities are unknown," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 171-174.
    34. Ramalho, Esmeralda A., 2002. "Regression models for choice-based samples with misclassification in the response variable," Journal of Econometrics, Elsevier, vol. 106(1), pages 171-201, January.
    35. Giertz, Seth H., 2007. "The Elasticity of Taxable Income Over the 1980s and 1990s," National Tax Journal, National Tax Association;National Tax Journal, vol. 60(4), pages 743-768, December.
    36. Giertz, Seth, 2006. "The Elasticity of Taxable Income During the 1990s: A Sensitivity Analysis," MPRA Paper 17603, University Library of Munich, Germany.
    37. Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.
    38. Springborn, Michael & Romagosa, Christina M. & Keller, Reuben P., 2011. "The value of nonindigenous species risk assessment in international trade," Ecological Economics, Elsevier, vol. 70(11), pages 2145-2153, September.

Articles

  1. Tony Lancaster & Sung Jae Jun, 2010. "Bayesian quantile regression methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 287-307.

    Cited by:

    1. Lane F. Burgette & Jerome P. Reiter, 2012. "Modeling Adverse Birth Outcomes via Confirmatory Factor Quantile Regression," Biometrics, The International Biometric Society, vol. 68(1), pages 92-100, March.
    2. Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
    3. Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2017. "Smoothed GMM for quantile models," Papers 1707.03436, arXiv.org, revised Feb 2018.
    4. Theodore Panagiotidis & Gianluigi Pelloni, 2014. "Asymmetry and Lilien's Sectoral Shifts Hypothesis: A Quantile Regression Approach," Working Paper series 15_14, Rimini Centre for Economic Analysis.
    5. Alhamzawi, Rahim & Yu, Keming, 2013. "Conjugate priors and variable selection for Bayesian quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 209-219.
    6. Ando, Tomohiro & Bai, Jushan, 2018. "Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity," MPRA Paper 88765, University Library of Munich, Germany.
    7. Ramsey, A., 2018. "Conditional Distributions of Crop Yields: A Bayesian Approach for Characterizing Technological Change," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277253, International Association of Agricultural Economists.
    8. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.
    9. Siddharta Chib & Minchul Shin & Anna Simoni, 2016. "Bayesian Empirical Likelihood Estimation and Comparison of Moment Condition Models," Working Papers 2016-21, Center for Research in Economics and Statistics.
    10. A Ford Ramsey, 2020. "Probability Distributions of Crop Yields: A Bayesian Spatial Quantile Regression Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 220-239, January.
    11. Michael Kohler & Adam Krzyżak & Reinhard Tent & Harro Walk, 2018. "Nonparametric quantile estimation using importance sampling," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(2), pages 439-465, April.
    12. Yunwen Yang & Huixia Judy Wang & Xuming He, 2016. "Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood," International Statistical Review, International Statistical Institute, vol. 84(3), pages 327-344, December.
    13. Wu Wang & Zhongyi Zhu, 2017. "Conditional empirical likelihood for quantile regression models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(1), pages 1-16, January.
    14. Korobilis, Dimitris, 2015. "Quantile forecasts of inflation under model uncertainty," SIRE Discussion Papers 2015-72, Scottish Institute for Research in Economics (SIRE).
    15. Korobilis, Dimitris, 2017. "Quantile regression forecasts of inflation under model uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 11-20.
    16. Philip Kostov, 2013. "Empirical likelihood estimation of the spatial quantile regression," Journal of Geographical Systems, Springer, vol. 15(1), pages 51-69, January.
    17. Luciano de Castro & Antonio F. Galvao & David M. Kaplan, 2017. "Smoothed instrumental variables quantile regression, with estimation of quantile Euler equations," Working Papers 1710, Department of Economics, University of Missouri, revised 28 Feb 2018.
    18. Yuanying Zhao & Dengke Xu, 2023. "A Bayesian Variable Selection Method for Spatial Autoregressive Quantile Models," Mathematics, MDPI, vol. 11(4), pages 1-19, February.
    19. Dries Benoit & Rahim Alhamzawi & Keming Yu, 2013. "Bayesian lasso binary quantile regression," Computational Statistics, Springer, vol. 28(6), pages 2861-2873, December.
    20. Chang-Sheng Liu & Han-Ying Liang, 2023. "Bayesian empirical likelihood of quantile regression with missing observations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(3), pages 285-313, April.
    21. Gareth W. Peters, 2018. "General Quantile Time Series Regressions for Applications in Population Demographics," Risks, MDPI, vol. 6(3), pages 1-47, September.

  2. Tony Lancaster, 2002. "Orthogonal Parameters and Panel Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(3), pages 647-666.

    Cited by:

    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    3. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    4. Bai, Jushan, 2013. "Likelihood approach to dynamic panel models with interactive effects," MPRA Paper 50267, University Library of Munich, Germany.
    5. Manuel Arellano & Stéphane Bonhomme, 2009. "Robust Priors in Nonlinear Panel Data Models," Econometrica, Econometric Society, vol. 77(2), pages 489-536, March.
    6. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Lee, Chien-Chiang & Yuan, Zihao & Ho, Shan-Ju, 2022. "How does export diversification affect income inequality? International evidence," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 410-421.
    8. Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Oct 2021.
    9. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    11. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    12. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Liu, Ruiqi & Shang, Zuofeng & Zhang, Yonghui & Zhou, Qiankun, 2020. "Identification and estimation in panel models with overspecified number of groups," Journal of Econometrics, Elsevier, vol. 215(2), pages 574-590.
    14. Lee, Chien-Chiang & Chen, Mei-Ping, 2021. "The effects of investor attention and policy uncertainties on cross-border country exchange-traded fund returns," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 830-852.
    15. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    16. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 88623, University Library of Munich, Germany.
    17. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    18. Manuel Arellano, 2001. "Discrete Choices with Panel Data," Working Papers wp2001_0101, CEMFI.
    19. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    20. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers CWP04/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Lazkano, Itziar & Pham, Linh, 2016. "Do Fossil fuel Taxes Promote Innovation in Renewable Electricity Generation?," Discussion Paper Series in Economics 16/2016, Norwegian School of Economics, Department of Economics.
    22. F. Bartolucci & R. Bellio & A. Salvan & N. Sartori, 2016. "Modified Profile Likelihood for Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1271-1289, August.
    23. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Forecasting with Dynamic Panel Data Models," NBER Working Papers 25102, National Bureau of Economic Research, Inc.
    24. Seung C. Ahn & Gareth M. Thomas, 2023. "Likelihood-based inference for dynamic panel data models," Empirical Economics, Springer, vol. 64(6), pages 2859-2909, June.
    25. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    26. Ivan Fernandez-Val, 2005. "Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects," Boston University - Department of Economics - Working Papers Series WP2005-38, Boston University - Department of Economics.
    27. Geert Dhaene & Koen Jochmans, 2011. "An Adjusted profile likelihood for non-stationary panel data models with fixed effects," Working Papers hal-01073732, HAL.
    28. Hansen, Christian B., 2007. "Asymptotic properties of a robust variance matrix estimator for panel data when T is large," Journal of Econometrics, Elsevier, vol. 141(2), pages 597-620, December.
    29. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    30. Hansen, Christian B., 2007. "Generalized least squares inference in panel and multilevel models with serial correlation and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 670-694, October.
    31. Alban Thomas, 2002. "Consistent estimation of discrete-choice models for panel data with multiplicative effects," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D6-2, International Conferences on Panel Data.
    32. Sven Wardenburg & Thomas Brenner, 2021. "Analysing the spatio-temporal diffusion of economic change - advanced statistical approach and exemplary application," Working Papers on Innovation and Space 2021-01, Philipps University Marburg, Department of Geography.
    33. Gao, Wei & Bergsma, Wicher & Yao, Qiwei, 2017. "Estimation for dynamic and static panel probit models with large individual effects," LSE Research Online Documents on Economics 65165, London School of Economics and Political Science, LSE Library.
    34. Yoshitsugu Kitazawa, 2009. "Equidispersion and moment conditions for count panel data model," Discussion Papers 33, Kyushu Sangyo University, Faculty of Economics.
    35. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    36. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    37. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    38. Wang, Fa, 2017. "Maximum likelihood estimation and inference for high dimensional nonlinear factor models with application to factor-augmented regressions," MPRA Paper 93484, University Library of Munich, Germany, revised 19 May 2019.
    39. Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
    40. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    41. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    42. Dhaene, Geert & Zhu, Yu, 2017. "Median-based estimation of dynamic panel models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 398-423.
    43. Lars Mewes & Tom Broekel, 2020. "Technological Complexity and Economic Growth of Regions," Papers in Evolutionary Economic Geography (PEEG) 2049, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2020.
    44. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    45. Yoshitsugu Kitazawa, 2009. "A negative binomial model and moment conditions for count panel data," Discussion Papers 34, Kyushu Sangyo University, Faculty of Economics.
    46. Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 32/14, Institute for Fiscal Studies.
    47. Cassidy, Rachel & Groot Bruinderink, Marije & Janssens, Wendy & Morsink, Karlijn, 2021. "The power to protect: Household bargaining and female condom use," Journal of Development Economics, Elsevier, vol. 153(C).
    48. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2023. "The role of score and information bias in panel data likelihoods," Journal of Econometrics, Elsevier, vol. 235(2), pages 1215-1238.
    49. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
    50. Muhammad Ayyoub & Julia Wörz, 2021. "Inflation‐growth nexus in developing economies: New empirical evidence from a disaggregated approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 241-257, January.
    51. Hahn, Jinyong, 2004. "Does Jeffrey's prior alleviate the incidental parameter problem?," Economics Letters, Elsevier, vol. 82(1), pages 135-138, January.
    52. Bester, C. Alan & Hansen, Christian B., 2016. "Grouped effects estimators in fixed effects models," Journal of Econometrics, Elsevier, vol. 190(1), pages 197-208.
    53. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    54. Yoshitsugu Kitazawa, 2010. "A forward demeaning transformation for a dynamic count panel data model," Discussion Papers 39, Kyushu Sangyo University, Faculty of Economics.
    55. Luca Grassetti, 2011. "A note on transformed likelihood approach in linear dynamic panel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 221-240, June.
    56. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    57. Lee, Chien-Chiang & Yuan, Zihao & Lee, Chi-Chuan & Chang, Yu-Fang, 2022. "The impact of renewable energy technology innovation on energy poverty: Does climate risk matter?," Energy Economics, Elsevier, vol. 116(C).
    58. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    59. Roberto Leon-Gonzalez & Daniel Montolio, 2012. "Endogeneity and Panel Data in Growth Regressions: A Bayesian Model Averaging Approach," GRIPS Discussion Papers 12-08, National Graduate Institute for Policy Studies.
    60. Stephen Bond & Céline Nauges & Frank Windmeijer, 2005. "Unit roots: identification and testing in micro panels," CeMMAP working papers CWP07/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    61. Blazsek, Szabolcs & Escribano, Álvaro, 2012. "Patents, secret innovations and firm's rate of return : differential effects of the innovation leader," UC3M Working papers. Economics we1202, Universidad Carlos III de Madrid. Departamento de Economía.
    62. Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
    63. Zhang Junjie, 2011. "Behavioral Response to Stock Abundance in Exploiting Common-Pool Resources," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-27, August.
    64. Nicholas Broten & Michael Dworsky & David Powell, 2019. "Do Temporary Workers Experience Additional Employment and Earnings Risk After Workplace Injuries?," NBER Working Papers 25989, National Bureau of Economic Research, Inc.
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    381. Al Husein, N. & Wagner, N., 2020. "Determinants of intended return migration among refugees : A comparison of Syrian refugees in Germany and Turkey," ISS Working Papers - General Series 127798, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    382. Amaresh Tiwari & Franz Palm, 2011. "Nonlinear Panel Data Models with Expected a Posteriori Values of Correlated Random Effects," CREPP Working Papers 1113, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    383. Sever, Can, 2021. "Political booms and currency crises," Journal of Macroeconomics, Elsevier, vol. 70(C).
    384. Akay, Alpaslan, 2007. "Dynamics of Employment- and Earnings-Assimilation of First-Generation Immigrant Men in Sweden, 1990-2000," Working Papers in Economics 279, University of Gothenburg, Department of Economics.
    385. Romanos Priftis & Anastasia Theofilakou, 2021. "Growth effects of corporate balance sheet adjustments in the EU," Empirical Economics, Springer, vol. 60(2), pages 773-801, February.
    386. Chen, Qi & Vashishtha, Rahul, 2017. "The effects of bank mergers on corporate information disclosure," Journal of Accounting and Economics, Elsevier, vol. 64(1), pages 56-77.
    387. Rob Dellink & Thijs Dekker & Janina Ketterer, 2013. "The Fatter the Tail, the Fatter the Climate Agreement," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(2), pages 277-305, October.
    388. Minh-Lý Liêu, 2021. "Peer attention and the disposition effect," Working Papers Dissertations 81, Paderborn University, Faculty of Business Administration and Economics.
    389. Beaver, William & Cascino, Stefano & Correia, Maria & McNichols, Maureen, 2018. "Bankruptcy in groups," LSE Research Online Documents on Economics 118925, London School of Economics and Political Science, LSE Library.
    390. Liu, Qing & Lu, Ruosi & Lu, Yi & Luong, Tuan Anh, 2021. "Import competition and firm innovation: Evidence from China," Journal of Development Economics, Elsevier, vol. 151(C).
    391. Artís, Annalí Casanueva & Avetian, Vladimir & Sardoschau, Sulin & Saxena, Kavya, 2022. "Social Media and the Broadening of Social Movements: Evidence from Black Lives Matter," IZA Discussion Papers 15812, Institute of Labor Economics (IZA).
    392. Aistov, Andrey, 2019. "Happy together: A regression discontinuity approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 53, pages 73-99.
    393. Jorge Eduardo Camusso & Ana Inés Navarro, 2021. "Asymmetries in aggregate income risk over the business cycle: evidence from administrative data of Argentina," Asociación Argentina de Economía Política: Working Papers 4447, Asociación Argentina de Economía Política.
    394. Sever, Can & Yücel, Emekcan, 2022. "The effects of elections on macroprudential policy," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 507-533.
    395. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.

  4. Lancaster, Tony, 1997. "Exact Structural Inference in Optimal Job-Search Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(2), pages 165-179, April.

    Cited by:

    1. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    2. Paserman, M. Daniele, 2004. "Job Search and Hyperbolic Discounting: Structural Estimation and Policy Evaluation," IZA Discussion Papers 997, Institute of Labor Economics (IZA).
    3. Andrew Ching & Susumu Imai & Neelam Jain, 2006. "Bayesian Estimation Of Dynamic Discrete Choice Models," Working Paper 1118, Economics Department, Queen's University.
    4. Sareen, Samita, 2003. "Reference Bayesian inference in nonregular models," Journal of Econometrics, Elsevier, vol. 113(2), pages 265-288, April.
    5. John W. Schindler, 2001. "Testing optimality in job search models," International Finance Discussion Papers 710, Board of Governors of the Federal Reserve System (U.S.).
    6. Gary Koop, 1999. "Bayesian inference in models based on equilibrium search theory," Edinburgh School of Economics Discussion Paper Series 12, Edinburgh School of Economics, University of Edinburgh.
    7. Keane, Michael, 2003. "Comment on “Simulation and Estimation of Hedonic Models” by Heckman, Matzkin and Nesheim," MPRA Paper 55141, University Library of Munich, Germany.
    8. Richard J. Boys & Peter J. Dolton & Neil R. Walker, 2007. "Adapting the optimal job search model for active labour market policy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 759-779, July.
    9. Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2012. "A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 151-196, June.
    10. Mark M. Pitt & Daniel L. Millimet, 1999. "Estimation of Coherent Demand Systems with Many Binding Non-Negativity Constraints," Working Papers 99-4, Brown University, Department of Economics.
    11. Geweke, John & Houser, Dan & Keane, Michael, 1999. "Simulation Based Inference for Dynamic Multinomial Choice Models," MPRA Paper 54279, University Library of Munich, Germany.
    12. Jiawei Chen, 2006. "Two-Sided Matching and Spread Determinants in the Loan Market," Working Papers 060702, University of California-Irvine, Department of Economics.

  5. Lancaster, Tony, 1997. "Bayes WESML Posterior inference from choice-based samples," Journal of Econometrics, Elsevier, vol. 79(2), pages 291-303, August.

    Cited by:

    1. Guoxiang Ding & Morton E O'Kelly, 2008. "Choice-Based Estimation of Alonso's Theory of Movement: Methods and Experiments," Environment and Planning A, , vol. 40(5), pages 1076-1089, May.
    2. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.

  6. Imbens, Guido W. & Lancaster, Tony, 1996. "Efficient estimation and stratified sampling," Journal of Econometrics, Elsevier, vol. 74(2), pages 289-318, October.
    See citations under working paper version above.
  7. Lancaster, Tony & Imbens, Guido, 1996. "Case-control studies with contaminated controls," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 145-160.
    See citations under working paper version above.
  8. Guido W. Imbens & Tony Lancaster, 1994. "Combining Micro and Macro Data in Microeconometric Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 655-680.
    See citations under working paper version above.
  9. Lancaster, Tony & Chesher, Andrew, 1985. "Residual analysis for censored duration data," Economics Letters, Elsevier, vol. 18(1), pages 35-38.

    Cited by:

    1. Riccardo Cimini & Alessandro Gaetano & Alessandra Pagani, 2014. "The relation between R&D accounting treatment and the risk of the firm: Evidence from the Italian market," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2014(1), pages 33-54.

  10. Lancaster, Tony, 1985. "Simultaneous equations models in applied search theory," Journal of Econometrics, Elsevier, vol. 28(1), pages 113-126, April.

    Cited by:

    1. Gerard J. van den Berg & Annette H. Bergemann & Marco Caliendo, 2009. "The Effect of Active Labor Market Programs on Not-Yet Treated Unemployed Individuals," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 606-616, 04-05.
    2. Addison, John T. & Centeno, Mario & Portugal, Pedro, 2004. "Reservation Wages, Search Duration, and Accepted Wages in Europe," IZA Discussion Papers 1252, Institute of Labor Economics (IZA).
    3. William Collier, 2003. "The Impact of Demographic and Individual Heterogeneity on Unemployment Duration: A Regional Study," Studies in Economics 0302, School of Economics, University of Kent.
    4. Pedro Portugal & John T. Addison, 2010. "The Reservation Wage Unemployment Duration Nexus," Working Papers w201026, Banco de Portugal, Economics and Research Department.
    5. Juan A. Cañada Vicinay, 1997. "Les équations hédoniques de salaire et la perception subjective des conditions de travail," Économie et Prévision, Programme National Persée, vol. 131(5), pages 155-174.
    6. Gutknecht, Daniel, 2016. "Testing for monotonicity under endogeneity," Journal of Econometrics, Elsevier, vol. 190(1), pages 100-114.
    7. Marit Rõõm, 2003. "Reservation wages in Estonia," Labor and Demography 0303001, University Library of Munich, Germany.
    8. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    9. Marit Hinnosaar, 2003. "Reservation wages in Estonia," Bank of Estonia Working Papers 2003-1, Bank of Estonia, revised 11 Oct 2003.
    10. María Angeles Davia & Oscar D. Marcenaro Gutiérrez, 2008. "Exploring the link between employment search time and reservation," Hacienda Pública Española / Review of Public Economics, IEF, vol. 186(3), pages 91-121, October.
    11. Chantal Cases, 1994. "Durées de chômage et comportements d'offre de travail : une revue de la littérature," Économie et Prévision, Programme National Persée, vol. 113(2), pages 155-170.
    12. Bo E. Honoré & Aureo de Paula, 2009. ""Interdependent Durations" Third Version," PIER Working Paper Archive 09-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Feb 2008.
    13. Chesher, Andrew & Kim, Dongwoo & Rosen, Adam M., 2023. "IV methods for Tobit models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1700-1724.
    14. Sarah Brown & Karl Taylor, "undated". "Reservation Wages, Expected wages and the duration of Unemployment: evidence from British Panel data," Working Papers 2009001, The University of Sheffield, Department of Economics.
    15. Albrecht, James W. & Holmlund, Bertil & Lang, Harald, 1988. "Job Search and Youth Unemployment: Analysis of Swedish Data," Working Paper Series 198, Research Institute of Industrial Economics.
    16. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
    17. Laurence Rioux, 2001. "Salaire de réserve, allocation chômage dégressive et revenu minimum d'insertion," Économie et Statistique, Programme National Persée, vol. 346(1), pages 137-160.
    18. María A. Davia & Óscar D. Marcenaro-Gutiérrez, 2007. "Exploring the link between employment search time and reservation wages in Southern Europe," Economic Working Papers at Centro de Estudios Andaluces E2007/13, Centro de Estudios Andaluces.
    19. Böheim, René, 2002. "The association between reported and calculated reservation wages," ISER Working Paper Series 2002-07, Institute for Social and Economic Research.
    20. Gutknecht, Daniel, 2012. "Do Reservation Wages Decline Monotonically? A Novel Statistical Test," Economic Research Papers 270635, University of Warwick - Department of Economics.
    21. Chantal Cases, 1996. "Assurance-chômage et offre de travail," Économie et Statistique, Programme National Persée, vol. 291(1), pages 139-150.
    22. Akiko Maruyama, 2018. "One-sided learning about one fs own type in a two-sided search model: The case of n types of agents," GRIPS Discussion Papers 18-15, National Graduate Institute for Policy Studies.
    23. van den Berg, G., 1986. "Nonstationarity in job search theory," Other publications TiSEM 35f3711e-ff88-4eb9-8326-6, Tilburg University, School of Economics and Management.
    24. Akiko Maruyama, 2016. "One-sided learning about one's own type in a two-sided search model," GRIPS Discussion Papers 15-26, National Graduate Institute for Policy Studies.
    25. Daniel Gutknecht, 2013. "Testing for Monotonicity under Endogeneity An Application to the Reservation Wage Function," Economics Series Working Papers 673, University of Oxford, Department of Economics.
    26. Akiko Maruyama, 2013. "Learning about one's own type: a search model with two-sided uncertainty," GRIPS Discussion Papers 12-24, National Graduate Institute for Policy Studies.

  11. Lancaster, Tony, 1985. "Generalised residuals and heterogeneous duration models : With applications to the Weilbull model," Journal of Econometrics, Elsevier, vol. 28(1), pages 155-169, April.

    Cited by:

    1. Orme, Chris D., 2000. "On the sensitivity of the overdispersion test in a Weibull model," Statistics & Probability Letters, Elsevier, vol. 46(1), pages 95-100, January.
    2. Jin Seo Cho & Halbert White, 2009. "Testing for Unobserved Heterogeneity in Exponential and Weibull Duration Models," Discussion Paper Series 0912, Institute of Economic Research, Korea University.
    3. Katz, Lawrence F. & Meyer, Bruce D., 1990. "The impact of the potential duration of unemployment benefits on the duration of unemployment," Journal of Public Economics, Elsevier, vol. 41(1), pages 45-72, February.
    4. Narendranathan, Wiji & Stewart, Mark B., 1989. "Modelling the Probability of Leaving Unemployment: Competing Risks Models with Flexible Baseline Hazards," Economic Research Papers 268365, University of Warwick - Department of Economics.
    5. Paul Viefers, 2012. "Should I Stay or Should I Go?: A Laboratory Analysis of Investment Opportunities under Ambiguity," Discussion Papers of DIW Berlin 1228, DIW Berlin, German Institute for Economic Research.
    6. James Prieger, 2003. "Bootstrapping the conditional moment test for parametric duration models," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 597-600.
    7. Charles L. Baum, 2003. "The Effects of Maternity Leave Legislation on Mothers' Labor Supply after Childbirth," Southern Economic Journal, John Wiley & Sons, vol. 69(4), pages 772-799, April.
    8. Sylvie Démurger & Hui Xu, 2011. "Left-Behind Children and Return Decisions of Rural Migrants in China," Post-Print halshs-00957597, HAL.
    9. Yang, Zhenlin & Tsui, Albert K., 2004. "Analytically calibrated Box-Cox percentile limits for duration and event-time models," Insurance: Mathematics and Economics, Elsevier, vol. 35(3), pages 649-677, December.
    10. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
    11. Julie Hotchkiss, 1999. "The effect of transitional employment on search duration: A selectivity approach," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 27(1), pages 38-52, March.
    12. Chul-In Lee, 2000. "The Impact of Taxing Unemployment Insurance Benefits on Unemployment Duration and Post-unemployment Earnings," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 7(4), pages 521-546, August.
    13. Zhang, Tao, 2003. "A Monte Carlo study on non-parametric estimation of duration models with unobserved heterogeneity," Memorandum 25/2003, Oslo University, Department of Economics.
    14. Laurence Rioux, 2001. "Salaire de réserve, allocation chômage dégressive et revenu minimum d'insertion," Économie et Statistique, Programme National Persée, vol. 346(1), pages 137-160.
    15. Godfrey, Leslie G & Orme, Chris D, 1996. "On the Behavior of Conditional Moment Tests in the Presence of Unconsidered Local Alternatives," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 263-281, May.
    16. Orme, Chris D. & Fry, Tim R. L., 1995. "Maximum likelihood estimation in binary data models using panel data under alternative distributional assumptions," Economics Letters, Elsevier, vol. 49(4), pages 359-366, October.
    17. James E. Prieger, "undated". "Conditional Moment Tests for Parametric Duration Models," Department of Economics 00-10, California Davis - Department of Economics.
    18. Bhat, Chandra R., 1996. "A hazard-based duration model of shopping activity with nonparametric baseline specification and nonparametric control for unobserved heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 30(3), pages 189-207, June.
    19. Li, Yang, 1996. "International migration under incomplete information: a re-migration analysis," ISU General Staff Papers 1996010108000012549, Iowa State University, Department of Economics.
    20. Fabrizia Mealli & Stephen Pudney, "undated". "Applying Heterogeneous Transition Models in Labour Economics: The Role of Youth Training in labour Market transitions," Discussion Papers in Public Sector Economics 99/5, Division of Economics, School of Business, University of Leicester.
    21. Alfred Hamerle, 1991. "On the Treatment of Interrupted Spells and Initial Conditions in Event History Analysis," Sociological Methods & Research, , vol. 19(3), pages 388-414, February.

  12. Lancaster, Tony, 1984. "The Covariance Matrix of the Information Matrix Test," Econometrica, Econometric Society, vol. 52(4), pages 1051-1053, July.

    Cited by:

    1. Jin Seo Cho & Halbert White, 2009. "Testing for Unobserved Heterogeneity in Exponential and Weibull Duration Models," Discussion Paper Series 0912, Institute of Economic Research, Korea University.
    2. Maxwell L. King & Xibin Zhang & Muhammad Akram, 2011. "A New Procedure For Multiple Testing Of Econometric Models," Monash Econometrics and Business Statistics Working Papers 7/11, Monash University, Department of Econometrics and Business Statistics.
    3. Boldea, O. & Magnus, J.R., 2009. "Maximum likelihood estimation of the multivariate normal mixture model," Other publications TiSEM c5d9a58c-6bc2-4098-bfed-d, Tilburg University, School of Economics and Management.
    4. Stomberg, Christopher & White, Halbert, 2000. "Bootstrapping the Information Matrix Test," University of California at San Diego, Economics Working Paper Series qt158451cr, Department of Economics, UC San Diego.
    5. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    6. Joel L. Horowitz, 1996. "Bootstrap Methods in Econometrics: Theory and Numerical Performance," Econometrics 9602009, University Library of Munich, Germany, revised 05 Mar 1996.
    7. Mai, Tien & Frejinger, Emma & Bastin, Fabian, 2015. "A misspecification test for logit based route choice models," Economics of Transportation, Elsevier, vol. 4(4), pages 215-226.
    8. James G. MacKinnon & Russell Davidson, 1999. "Artificial Regressions," Working Paper 978, Economics Department, Queen's University.
    9. Wasel Shadat, 2011. "On the Nonparametric Tests of Univariate GARCH Regression Models," Economics Discussion Paper Series 1115, Economics, The University of Manchester.
    10. Daphna Harel & Russell J. Steele, 2018. "An Information Matrix Test for the Collapsing of Categories Under the Partial Credit Model," Journal of Educational and Behavioral Statistics, , vol. 43(6), pages 721-750, December.
    11. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    12. Davidson, Russell & MacKinnon, James G, 1988. "Double Length Artificial Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(2), pages 203-217, May.
    13. Russell Davidson & James G. MacKinnon, 1987. "Testing for Consistency using Artificial Regressions," Working Paper 687, Economics Department, Queen's University.
    14. Sun, Lih-Chyun & Hoehn, John P., 1993. "Modeling Multiple Responses in Contingent Valuation: Omitted Variables and Intra-Respondence Correlation," Staff Paper Series 201170, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    15. Maxwell King & Xibin Zhang & Muhammad Akram, 2019. "Hypothesis Testing Based on a Vector of Statistics," Monash Econometrics and Business Statistics Working Papers 30/19, Monash University, Department of Econometrics and Business Statistics.
    16. Li, Yong & Yu, Jun & Zeng, Tao, 2017. "A Specification Test based on the MCMC Output," Economics and Statistics Working Papers 9-2017, Singapore Management University, School of Economics.
    17. Russell Davidson & James G. MacKinnon, 1986. "Testing the Specification of Econometric Models in Regression and Non-Regression Directions," Working Paper 642, Economics Department, Queen's University.
    18. Chesher, Andrew & Dhaene, Geert & Gouriéroux, Christian & Scaillet, Olivier, 1999. "Bartlett Identities Tests," LIDAM Discussion Papers IRES 1999019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    19. Davidson, Russell & MacKinnon, James G, 1998. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," The Manchester School of Economic & Social Studies, University of Manchester, vol. 66(1), pages 1-26, January.
    20. Manabu Asai & Mike K. P. So, 2021. "Quasi‐maximum likelihood estimation of conditional autoregressive Wishart models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 271-294, May.
    21. Geert Dhaene & Dirk Hoorelbeke, 2002. "The Information Matrix Test with Bootstrap-Based Covariance Matrix Estimation," Working Papers of Department of Economics, Leuven ces0211, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    22. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
    23. Choi, Hwan-sik, 2016. "Information theory for maximum likelihood estimation of diffusion models," Journal of Econometrics, Elsevier, vol. 191(1), pages 110-128.
    24. John Mullahy, 2010. "Multivariate Fractional Regression Estimation of Econometric Share Models," NBER Working Papers 16354, National Bureau of Economic Research, Inc.
    25. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.
    26. Daisuke Nagakura, 2008. "A note on the relationship between the information matrx test and a score test for parameter constancy," Economics Bulletin, AccessEcon, vol. 3(5), pages 1-7.
    27. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.
    28. Bera, Anil K. & Kim, Sangwhan, 2002. "Testing constancy of correlation and other specifications of the BGARCH model with an application to international equity returns," Journal of Empirical Finance, Elsevier, vol. 9(2), pages 171-195, March.
    29. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2024. "The information matrix test for Gaussian mixtures," Working Papers wp2024_2401, CEMFI.
    30. Teresa Aparicio & Inmaculada Villanua, 2001. "The asymptotically efficient version of the information matrix test in binary choice models. A study of size and power," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(2), pages 167-182.
    31. Francq, Christian & Zakoïan, Jean-Michel, 2007. "HAC estimation and strong linearity testing in weak ARMA models," Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 114-144, January.
    32. Dirk Hoorelbeke, 2004. "Bootstrap correcting the score test," Econometric Society 2004 North American Summer Meetings 228, Econometric Society.
    33. Richard M. Golden & Steven S. Henley & Halbert White & T. Michael Kashner, 2016. "Generalized Information Matrix Tests for Detecting Model Misspecification," Econometrics, MDPI, vol. 4(4), pages 1-24, November.

  13. Lancaster, Tony, 1983. "Generalised Residuals and Heterogeneous Duration Models: The Exponential Case," Bulletin of Economic Research, Wiley Blackwell, vol. 35(2), pages 71-85, November.

    Cited by:

    1. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.

  14. Andrew Chesher & Tony Lancaster, 1983. "The Estimation of Models of Labour Market Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 609-624.

    Cited by:

    1. Raquel Carrasco & José Ignacio García Pérez, 2008. "Unemployment Duration among Immigrants and Natives: Unobserved Heterogeneity in a Multi-Spell Duration Model," Working Papers 08.13, Universidad Pablo de Olavide, Department of Economics.
    2. van Ommeren, Jos & Rietveld, Piet & Nijkamp, Peter, 2002. "A bivariate duration model for job mobility of two-earner households," European Journal of Operational Research, Elsevier, vol. 137(3), pages 574-587, March.
    3. J. Ignacio García-Pérez & Sergi Jiménez-Martín & Alfonso R. Sánchez-Martín, 2010. "Retirement incentives, individual heterogeneity and labour transitions of employed and unemployed workers," Economics Working Papers 1239, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Luis a. Gil-alana & Liang Jiang, 2013. "Unemployment in the US. Unemployment rate versus claimant counts. Mean reversion, persistence or hysteresis," Economics Bulletin, AccessEcon, vol. 33(3), pages 1978-1982.
    5. Florens, J.-P. & Fougère, D. & Kamionka, T. & Mouchart, M., 1994. "La modélisation économétrique des transitions individuelles sur le marché du travail," LIDAM Reprints CORE 1138, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Jaime Saavedra-Chanduví & Máximo Torero, 2000. "Labor Market Reforms and Their Impact on Formal Labor Demand and Job Market Turnover: The Case of Peru," Research Department Publications 3095, Inter-American Development Bank, Research Department.
    7. Meghir, Costas & Whitehouse, Edward, 1997. "Labour market transitions and retirement of men in the UK," Journal of Econometrics, Elsevier, vol. 79(2), pages 327-354, August.
    8. Lancaster, Tony & Imbens, Guido, 1995. "Optimal stock/flow panels," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 325-348.
    9. Murphy, Anthony, 1996. "A piecewise-constant hazard-rate model for the duration of unemployment in single-interview samples of the stock of unemployed," Economics Letters, Elsevier, vol. 51(2), pages 177-183, May.
    10. Manuela Angelucci, 2012. "US Border Enforcement and the Net Flow of Mexican Illegal Migration," Economic Development and Cultural Change, University of Chicago Press, vol. 60(2), pages 311-357.
    11. Marie Albertine Djuikom & Guy Lacroix, 2018. "Dynamic Causal Effects of Post-Migration Schooling on Labour Market Transitions," Cahiers de recherche 1803, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    12. Keshab Bhattarai & Huw Dixon, 2014. "Equilibrium Unemployment in a General Equilibrium Model with Taxes," Manchester School, University of Manchester, vol. 82(S1), pages 90-128, September.
    13. Kettunen, Juha, 1997. "Education and unemployment duration," Economics of Education Review, Elsevier, vol. 16(2), pages 163-170, April.
    14. Kemp, Gordon C. R., 2000. "When is a proportional hazards model valid for both stock and flow sampled duration data?," Economics Letters, Elsevier, vol. 69(1), pages 33-37, October.
    15. Van den Berg, G J & Lindeboom, M & Ridder, G, 1994. "Attrition in Longitudinal Panel Data and the Empirical Analysis of Dynamic Labour Market Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(4), pages 421-435, Oct.-Dec..
    16. Pasi Holm & Tomi Kyyrä & Juha Rantala, 1999. "Household Level Economic Incentives, Unemployment Trap and Job Finding Probability," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 6(3), pages 361-378, August.
    17. De Toldi, M. & Gourieroux, C. & Monfort, A., 1995. "Prepayment analysis for securitization," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 45-70, March.
    18. Kyyrä, Tomi & Holm, Pasi & Rantala, Juha, 1998. "Business Cycle, unemployment Trap and Effects of Economic Incentives on Job Finding Probability," Discussion Papers 175, VATT Institute for Economic Research.
    19. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
    20. Gourieroux, C. & Peaucelle, I., 1988. "Fonctions de production représentatives de fonctions à complémentarité stricte," L'Actualité Economique, Société Canadienne de Science Economique, vol. 64(2), pages 209-230, juin.
    21. Berg, G.J. & Lindeboom, M., 1994. "Attrition in panel data and the estimation of dynamic labor market models," Serie Research Memoranda 0022, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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    1. Gatzlaff, Dean H. & Haurin, Donald R., 1998. "Sample Selection and Biases in Local House Value Indices," Journal of Urban Economics, Elsevier, vol. 43(2), pages 199-222, March.
    2. Gelbach, Jonah B., 2015. "Can we learn anything about pleading changes from existing data?," International Review of Law and Economics, Elsevier, vol. 44(C), pages 72-86.

  17. Lancaster, Tony, 1979. "Prediction from binary choice models : A note," Journal of Econometrics, Elsevier, vol. 9(3), pages 387-389, February.

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    1. Paul A. Inglis & Thorsten Stromback, 1986. "Migrants' Unemployment: The Determinants of Employment Success," The Economic Record, The Economic Society of Australia, vol. 62(3), pages 310-324, September.

  18. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.

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    1. M. A. Ben Halima & V. Hyafil-Solelhac & M. Koubi & C. Regaert, 2015. "The Effects of the Complementary Sickness Benefits (CSB) on Sick Leave Duration: an Approach Based on Collective Bargaining Agreements," Documents de Travail de l'Insee - INSEE Working Papers g2015-05, Institut National de la Statistique et des Etudes Economiques.
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    Cited by:

    1. Govert Bijwaard & Geert Ridder & Tiemen Woutersen, 2012. "A Simple GMM Estimator for the Semiparametric Mixed Proportional Hazard Model," Norface Discussion Paper Series 2012035, Norface Research Programme on Migration, Department of Economics, University College London.
    2. van den Berg, Gerard J., 1997. "Association measures for durations in bivariate hazard rate models," Journal of Econometrics, Elsevier, vol. 79(2), pages 221-245, August.

  20. Tony Lancaster, 1963. "Business Saving and Normal Income," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 30(3), pages 203-216.

    Cited by:

    1. Zia M Qureshi, 1983. "Detenninants of Corporate Saving in Pakistan.A Macro-econometric Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 22(2), pages 73-96.
    2. Robert Goffin, 1970. "La distribution des dividendes dans l'hypothèse de revenu permanent," Revue Économique, Programme National Persée, vol. 21(6), pages 929-972.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Lancaster,Tony, 1992. "The Econometric Analysis of Transition Data," Cambridge Books, Cambridge University Press, number 9780521437899.

    Cited by:

    1. Dixon, H. D., 2009. "A unified framework for understanding and comparing dynamic wage and price-setting models," Working papers 257, Banque de France.
    2. Ashley C. Craig & Ellen Garbarino & Stephanie A. Heger & Robert Slonim, 2017. "Waiting To Give: Stated and Revealed Preferences," Management Science, INFORMS, vol. 63(11), pages 3672-3690, November.
    3. Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2022. "Business Training with a Better-Informed Lender: Theory and Evidence from Microcredit in France," SciencePo Working papers Main halshs-03934370, HAL.
    4. David Troncoso-Ponce, 2018. "Estimation of competing risks duration models with unobserved heterogeneity using hsmlogit," Working Papers 18.03, Universidad Pablo de Olavide, Department of Economics.
    5. Jin Seo Cho & Halbert White, 2009. "Testing for Unobserved Heterogeneity in Exponential and Weibull Duration Models," Discussion Paper Series 0912, Institute of Economic Research, Korea University.
    6. Prell, Mark & Newman, Constance & Scherpf, Erik, 2015. "Annual and Monthly SNAP Participation Rates," Economic Research Report 262206, United States Department of Agriculture, Economic Research Service.
    7. Bellemare, Marc F. & Novak, Lindsey, 2014. "Smallholder Participation in Contract Farming and Food Security," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169817, Agricultural and Applied Economics Association.
    8. Blanca Isabel Sánchez-Toledano & Zein Kallas & Oscar Palmeros Rojas & José M. Gil, 2018. "Determinant Factors of the Adoption of Improved Maize Seeds in Southern Mexico: A Survival Analysis Approach," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    9. Bradley, Steve & Migali, Giuseppe, 2019. "The effects of the 2006 tuition fee reform and the Great Recession on university student dropout behaviour in the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 331-356.
    10. Centeno, Luis & Centeno, Mário & Novo, Álvaro A., 2009. "Evaluating job-search programs for old and young individuals: Heterogeneous impact on unemployment duration," Labour Economics, Elsevier, vol. 16(1), pages 12-25, January.
    11. Elsa Morais Sarmento & Alcina Nunes, 2011. "Survival dynamics in Portugal, a regional perspective," ERSA conference papers ersa10p1313, European Regional Science Association.
    12. David E. Giles, 2022. "Some Consequences of Including Impulse-Indicator Dummy Variables in Econometric Models," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 329-336, June.
    13. Dixon, Huw & Siciliani, Luigi, 2009. "Waiting-time targets in the healthcare sector: How long are we waiting?," Journal of Health Economics, Elsevier, vol. 28(6), pages 1081-1098, December.
    14. Denis Chetverikov & Jesper R.-V. Sørensen, 2021. "Analytic and Bootstrap-after-Cross-Validation Methods for Selecting Penalty Parameters of High-Dimensional M-Estimators," Discussion Papers 21-04, University of Copenhagen. Department of Economics.
    15. Marco Manacorda & Furio Camillo Rosati & Marco Ranzani & Giuseppe Dachille, 2017. "Pathways from school to work in the developing world," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-40, December.
    16. Mário Centeno & Álvaro A. Novo, 2014. "Do Low-Wage Workers React Less to Longer Unemployment Benefits? Quasi-Experimental Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 185-207, April.
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    18. Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2018. "Business Training and Loan Repayment: Theory and Evidence from Microcredit in France," AMSE Working Papers 1811, Aix-Marseille School of Economics, France.
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    21. Jin Seo Cho & Jin Seok Park & Sang Woo Park, 2018. "Testing for the Conditional Geometric Mixture Distribution," Working papers 2018rwp-123, Yonsei University, Yonsei Economics Research Institute.
    22. Alexandre Sauquet, 2012. "Exploring the Nature of Strategic Interactions in the Ratification Process of the Kyoto Protocol," CERDI Working papers halshs-00607785, HAL.
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    25. Carolina Lopera, 2008. "Determinantes de la deserción universitaria en la Facultad de Economía Universidad del Rosario," Borradores de Investigación 4558, Universidad del Rosario.
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    29. van den Berg, Gerard J. & Drepper , Bettina, 2011. "Inference for shared-frailty survival models with left-truncated data," Working Paper Series 2011:26, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    30. Bellemare, Marc F. & Novak, Lindsey, 2015. "Contract Farming and Food Security," MPRA Paper 65817, University Library of Munich, Germany.
    31. Szu‐Lang Liao & Ming‐Shann Tsai & Shu‐Ling Chiang, 2008. "Closed‐Form Mortgage Valuation Using Reduced‐Form Model," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(2), pages 313-347, June.
    32. Daniela Glocker & Viktor Steiner, 2007. "Self-Employment - a Way to End Unemployment?: Empirical Evidence from German Pseudo-Panel Data," Discussion Papers of DIW Berlin 661, DIW Berlin, German Institute for Economic Research.
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    35. R Bachan & B Reilly & R Witt, 2008. "The hazard of being an English football league manager: empirical estimates for three recent league seasons," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 884-891, July.
    36. Niels Bosma & Mirjam van Praag & Roy Thurik & Gerrit de Wit, 2002. "The Value of Human and Social Capital Investments for the Business Performance of Start-ups," Tinbergen Institute Discussion Papers 02-027/3, Tinbergen Institute.
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    38. Mgomezulu, Wisdom Richard & Machira, Kennedy & Edriss, Abdi-Khalil & Pangapanga-Phiri, Innocent, 2023. "Modelling farmers’ adoption decisions of sustainable agricultural practices under varying agro-ecological conditions: A new perspective," Innovation and Green Development, Elsevier, vol. 2(1).
    39. Guilmi, Corrado Di & Gallegati, Mauro & Ormerod, Paul, 2004. "Scaling invariant distributions of firms’ exit in OECD countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 267-273.
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    41. José Mata & Claudia Alves, 2018. "The survival of firms founded by immigrants: Institutional distance between home and host country, and experience in the host country," Strategic Management Journal, Wiley Blackwell, vol. 39(11), pages 2965-2991, November.
    42. Stéphane Esquerré, 2019. "How do judges judge? Evidence of local effect on French bankruptcy judgments," Working Papers hal-02291688, HAL.
    43. A. Prieto, 2000. "L'introduction d'une allocation chômage dégressive en France en 1992. Quel impact sur la reprise de l'emploi ? Etude économétrique menée à partir du Fichier National des Allocataires de l'UNEDIC sur l," THEMA Working Papers 2000-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    44. Steve Bradley & Giuseppe Migali, 2015. "The Effect of a Tuition Fee Reform on the Risk of Drop Out from University in the UK," Working Papers 86010138, Lancaster University Management School, Economics Department.
    45. Bai, Lei & Liu, Rengkui & Wang, Feng & Sun, Quanxin & Wang, Futian, 2017. "Estimating railway rail service life: A rail-grid-based approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 54-65.
    46. Zhang, Feipeng & Tan, Zhong, 2015. "A new nonparametric quantile estimate for length-biased data with competing risks," Economics Letters, Elsevier, vol. 137(C), pages 10-12.
    47. Viarengo, Martina, 2007. "An historical analysis of the expansion of compulsory schooling in Europe after the Second World War," Economic History Working Papers 4286, London School of Economics and Political Science, Department of Economic History.
    48. Hausmann, Ricardo & Rodriguez, Francisco & Wagner, Rodrigo, 2006. "Growth Collapses," Working Paper Series rwp06-046, Harvard University, John F. Kennedy School of Government.
    49. Ashrafi Tannaz Alizadeh & Myrland Øystein, 2017. "Determinants of trip duration for international tourists in Norway; a parametric survival analysis," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 8(1), pages 75-86, May.
    50. Matteo PICCHIO & Stefano STAFFOLANI, 2013. "Does Apprenticeship Improve Job Opportunities? A Regression Discontinuity Approach," Working Papers 393, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    51. Tristan Fletcher & John Shawe-Taylor, 2013. "Multiple Kernel Learning with Fisher Kernels for High Frequency Currency Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 42(2), pages 217-240, August.
    52. Richard Layte & Tim Callan, 2001. "Unemployment, Welfare Benefits and the Financial Incentive to Work," The Economic and Social Review, Economic and Social Studies, vol. 32(2), pages 103-129.
    53. Alexandre Sauquet, 2014. "Exploring the nature of inter-country interactions in the process of ratifying international environmental agreements: the case of the Kyoto Protocol," Public Choice, Springer, vol. 159(1), pages 141-158, April.
    54. Denis Chetverikov & Jesper Riis-Vestergaard S{o}rensen, 2021. "Selecting Penalty Parameters of High-Dimensional M-Estimators using Bootstrapping after Cross-Validation," Papers 2104.04716, arXiv.org, revised Aug 2023.
    55. Hattam, Caroline & Holloway, Garth J., 2007. "Bayes Estimates of Time to Organic Certification," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7979, Agricultural Economics Society.
    56. Jiun-Hua Su, 2019. "Counterfactual Inference in Duration Models with Random Censoring," Papers 1902.08502, arXiv.org.
    57. Canales Medina, Elizabeth & Bergtold, Jason S. & Williams, Jeffery R., 2017. "Modeling the factors affecting farmers’ timing of adoption of in-field conservation cropping practices," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258558, Agricultural and Applied Economics Association.
    58. Barrenho, E & Smith, PC & Miraldo, M, 2013. "The determinants of attrition in drug development: a duration analysis," Working Papers 12204, Imperial College, London, Imperial College Business School.
    59. Florian Schaffner, 2015. "Predicting US bank failures with internet search volume data," ECON - Working Papers 214, Department of Economics - University of Zurich.
    60. Jun, Duk Bin & Kim, Kyunghoon & Park, Myoung Hwan, 2016. "Forecasting annual lung and bronchus cancer deaths using individual survival times," International Journal of Forecasting, Elsevier, vol. 32(1), pages 168-179.
    61. Alcina Nunes & Elsa de Morais Sarmento, 2010. "Business Survival in Portuguese Regions," GEMF Working Papers 2010-22, GEMF, Faculty of Economics, University of Coimbra.
    62. Heechul Min, 2015. "Korea's Cash-for-Clunkers Program: Household-Level Evidence," Asian Economic Journal, East Asian Economic Association, vol. 29(4), pages 347-363, December.
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