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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. 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.

  2. 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.

  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. 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.
    2. 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.
    3. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    4. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers 07/03, Institute for Fiscal Studies.
    5. 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.
    6. Erard, Brian & Langetieg, Patrick & Payne, Mark & Plumley, Alan, 2020. "Ghosts in the Income Tax Machinery," MPRA Paper 100036, University Library of Munich, Germany.
    7. 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.
    8. Amanda Coston & Edward H. Kennedy, 2022. "The role of the geometric mean in case-control studies," Papers 2207.09016, arXiv.org.
    9. 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.
    10. 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.
    11. 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.
    12. Becker, Bo & Cronqvist, Henrik & Fahlenbrach, Rudiger, 2008. "Estimating the Effects of Large Shareholders Using a Geographic Instrument," Working Paper Series 2008-9, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    13. 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.
    14. Carvalho, Leandro & Soares, Rodrigo R., 2013. "Living on the Edge: Youth Entry, Career and Exit in Drug-Selling Gangs," IZA Discussion Papers 7189, Institute of Labor Economics (IZA).
    15. 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).
    16. 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).
    17. 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.
    18. Bruce Meyer & Nikolas Mittag, 2014. "Misclassification in Binary Choice Models," NBER Working Papers 20509, National Bureau of Economic Research, Inc.
    19. 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.
    20. 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.
    21. 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.
    22. 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..
    23. 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.
    24. Lancaster, Tony, 1997. "Bayes WESML Posterior inference from choice-based samples," Journal of Econometrics, Elsevier, vol. 79(2), pages 291-303, August.
    25. Erard Brian, 2022. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A New and More Versatile Approach," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 35-53, January.
    26. Petra Moser & Alessandra Voena, 2012. "Compulsory Licensing: Evidence from the Trading with the Enemy Act," American Economic Review, American Economic Association, vol. 102(1), pages 396-427, February.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.

  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. Arcidiacono, Peter & Sieg, Holger & Sloan, Frank, 2002. "Living Rationally Under the Volcano? An Empirical Analysis of Heavy Drinking and Smoking," Working Papers 02-30, Duke University, Department of Economics.
    2. Steven Stern & Leora Friedberg, 2010. "Marriage, Divorce, and Asymmetric Information," Virginia Economics Online Papers 385, University of Virginia, Department of Economics.
    3. 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.
    4. 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.
    5. Amil Petrin, 2001. "Quantifying the Benefits of New Products: The Case of the Minivan," NBER Working Papers 8227, National Bureau of Economic Research, Inc.
    6. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
    7. Steven Berry & James Levinsohn & Ariel Pakes, 1998. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," NBER Working Papers 6481, National Bureau of Economic Research, Inc.
    8. 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.
    9. 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.
    10. 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.
    11. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers 07/03, Institute for Fiscal Studies.
    12. 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.
    13. 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.
    14. Gerard J. van den Berg & Bas van der Klaauw, 1998. "Combining Micro and Macro Unemployment Duration Data," Tinbergen Institute Discussion Papers 98-098/3, Tinbergen Institute.
    15. Ermisch, John F & Francesconi, Marco & del Bono, Emilia, 2008. "Intrafamily Resource Allocations: A Dynamic Model of Birth Weight," CEPR Discussion Papers 6970, C.E.P.R. Discussion Papers.
    16. 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.
    17. Imbens, G. & Lancaster, T., 1993. "Case-Control Studies with Contaminated Controls," Papers 9307, Tilburg - Center for Economic Research.
    18. 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.
    19. 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].
    20. Naoki Wakamori, 2011. "Portfolio Considerations in Differentiated Product Purchases: An Application to the Japanese Automobile Market," Staff Working Papers 11-27, Bank of Canada.
    21. Hirukawa, Masayuki & Prokhorov, Artem, 2018. "Consistent estimation of linear regression models using matched data," Journal of Econometrics, Elsevier, vol. 203(2), pages 344-358.
    22. Naoki Aizawa & Hanming Fang, 2015. "Equilibrium Labor Market Search and Health Insurance Reform," Working Papers 727, Federal Reserve Bank of Minneapolis.
    23. Ana Mar�a Iba�ez Londo�o & Juan Carlos Mu�oz Mora & Philip Verwimp, 2013. "Abandoning Coffee under the Threat of Violence and the Presence of Illicit Crops. Evidence from Colombia," HiCN Working Papers 150, Households in Conflict Network.
    24. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," NBER Technical Working Papers 0220, National Bureau of Economic Research, Inc.
    25. 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.
    26. 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.
    27. 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.
    28. 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.).
    29. George Z. Gui, 2024. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Marketing Science, INFORMS, vol. 43(2), pages 378-391, March.
    30. DeSouza, Sergio Aquino, 2006. "Combining Aggregate and Plant-Level Data to Estimate a Discrete-Choice Demand Model," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 26(2), November.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. Cao, Yongxiu & Yu, Jichang, 2023. "Adjusting for unmeasured confounding in survival causal effect using validation data," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).
    37. Laura Mayoral, 2009. "Heterogeneous dynamics, aggregation and the persistence of economic shocks," Working Papers 400, Barcelona School of Economics.
    38. Matthew D. Cocci & Mikkel Plagborg-Møller, 2021. "Standard Errors for Calibrated Parameters," Working Papers 2021-20, Princeton University. Economics Department..
    39. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Misclassification in binary choice models," Journal of Econometrics, Elsevier, vol. 200(2), pages 295-311.
    40. 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.
    41. Jayawardhana, Jayani, 2013. "Direct-to-consumer advertising and consumer welfare," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 164-180.
    42. Maia Güell & Luojia Hu, 2003. "Estimating the probability of leaving unemployment using uncompleted spells from repeated cross-section data," Economics Working Papers 688, Department of Economics and Business, Universitat Pompeu Fabra.
    43. 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.
    44. 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.
    45. 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.
    46. Atsushi Inoue & Tong Li & Qi Xu, 2021. "Two Sample Unconditional Quantile Effect," Papers 2105.09445, arXiv.org.
    47. Jason Allen & Robert Clark & Jean-François Houde, 2014. "Search Frictions and Market Power in Negotiated Price Markets," NBER Working Papers 19883, National Bureau of Economic Research, Inc.
    48. Rami V. Tabri & Mathew J. Elias, 2024. "Testing for Restricted Stochastic Dominance under Survey Nonresponse with Panel Data: Theory and an Evaluation of Poverty in Australia," Papers 2406.15702, arXiv.org.
    49. Heinz König & Michael Lechner, 1994. "Some Recent Developments in Microeconometrics - A Survey," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 299-331, September.
    50. 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.
    51. 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.
    52. 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.
    53. George Z. Gui, 2020. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Papers 2010.05117, arXiv.org, revised Dec 2023.
    54. Paap, R. & van Dijk, A., 2006. "Explaining individual response using aggregated data," Econometric Institute Research Papers EI 2006-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    55. Anne-Gisèle Privat & Sophie Pennec & Thierry Debrand, 2003. "Un modèle de micro-simulation pour la projection des retraites du régime général," Économie et Prévision, Programme National Persée, vol. 160(4), pages 215-230.
    56. Bruce Meyer & Nikolas Mittag, 2014. "Misclassification in Binary Choice Models," NBER Working Papers 20509, National Bureau of Economic Research, Inc.
    57. Davis, Peter, 2000. "Empirical models of demand for differentiated products," European Economic Review, Elsevier, vol. 44(4-6), pages 993-1005, May.
    58. Xavier d'Haultfoeuille, 2008. "A New Instrumental Method for Dealing with Endogenous Selection," Working Papers 2008-23, Center for Research in Economics and Statistics.
    59. 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).
    60. Laisney, François & Lechner, Michael, 1993. "Combining panel data and macro information: an application to the estimation of a participation model," ZEW Discussion Papers 93-23, ZEW - Leibniz Centre for European Economic Research.
    61. 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.
    62. 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.
    63. 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.
    64. 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.
    65. Leporatti, Lucia & Montefiori, Marcello, 2024. "Complex role of individual digital skills and eHealth policies in shaping health policy," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    66. 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.
    67. 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.
    68. 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.
    69. 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.
    70. 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.
    71. 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.
    72. 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.
    73. 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.
    74. 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.
    75. Lancaster, Tony, 1997. "Bayes WESML Posterior inference from choice-based samples," Journal of Econometrics, Elsevier, vol. 79(2), pages 291-303, August.
    76. 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.
    77. 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.
    78. 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.
    79. 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.
    80. Paul J. Devereux & Gautam Tripathi, 2008. "Optimally combining censored and uncensored datasets," Working Papers 200820, School of Economics, University College Dublin.
    81. 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.
    82. F Bravo, 2008. "Effcient M-estimators with auxiliary information," Discussion Papers 08/26, Department of Economics, University of York.
    83. 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.
    84. 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.
    85. Hui Li, 2019. "Intertemporal Price Discrimination with Complementary Products: E-Books and E-Readers," Management Science, INFORMS, vol. 67(6), pages 2665-2694, June.
    86. Philipson, Tomas & Malani, Anup, 1999. "Measurement errors: A principal investigator-agent approach," Journal of Econometrics, Elsevier, vol. 91(2), pages 273-298, August.
    87. Aviv Nevo, 2001. "Using Weights to Adjust for Sample Selection When Auxiliary Information is Available," NBER Technical Working Papers 0275, National Bureau of Economic Research, Inc.
    88. 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.
    89. 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.
    90. 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.
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    100. 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.
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    104. Doi, Naoshi, 2022. "A simple method to estimate discrete-type random coefficients logit models," International Journal of Industrial Organization, Elsevier, vol. 81(C).

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

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    1. 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.
    2. 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.
    3. Sung Jae Jun & Sokbae Lee, 2020. "Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions," Papers 2004.08318, arXiv.org, revised Oct 2023.
    4. 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.
    5. 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.
    6. 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.
    7. Imbens, G. & Lancaster, T., 1993. "Case-Control Studies with Contaminated Controls," Papers 9307, Tilburg - Center for Economic Research.
    8. Amanda Coston & Edward H. Kennedy, 2022. "The role of the geometric mean in case-control studies," Papers 2207.09016, arXiv.org.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," NBER Technical Working Papers 0220, National Bureau of Economic Research, Inc.
    14. 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.
    15. Giertz, Seth, 2006. "The Elasticity of Taxable Income During the 1990s: A Sensitivity Analysis," MPRA Paper 17603, University Library of Munich, Germany.
    16. Gil S. Epstein & Astrid Kunze & Melanie E. Ward, 2009. "High‐Skilled Migration And The Exertion Of Effort By The Local Population," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(3), pages 332-352, July.
    17. Giertz, Seth, 2007. "The Elasticity of Taxable Income over the 1980s and 1990s," MPRA Paper 18313, University Library of Munich, Germany.
    18. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    19. 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.
    20. 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.
    21. 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).
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. Seth H. Giertz, 2008. "A Sensitivity Analysis of the Elasticity of Taxable Income: Working Paper 2008-01," Working Papers 19435, Congressional Budget Office.
    34. 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.
    35. 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.
    36. 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.
    37. Bhattacharya, Debopam, 2005. "Asymptotic inference from multi-stage samples," Journal of Econometrics, Elsevier, vol. 126(1), pages 145-171, May.

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. 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.
    2. Theodore Panagiotidis & Gianluigi Pelloni, 2014. "Asymmetry and Lilien’s Sectoral Shifts Hypothesis: A Quantile Regression Approach," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 6(1), pages 68-86, June.
    3. 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.
    4. Dimitris Korobilis., 2015. "Quantile forecasts of inflation under model uncertainty," Working Papers 2015_09, Business School - Economics, University of Glasgow.
    5. Gareth W. Peters, 2018. "General Quantile Time Series Regressions for Applications in Population Demographics," Risks, MDPI, vol. 6(3), pages 1-47, September.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Christopher D. Walker, 2024. "Semiparametric Bayesian Inference for a Conditional Moment Equality Model," Papers 2410.16017, arXiv.org.
    11. Tomohiro Ando & Jushan Bai, 2020. "Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 266-279, January.
    12. Korobilis, Dimitris, 2017. "Quantile regression forecasts of inflation under model uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 11-20.
    13. 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.
    14. Yuanying Zhao & Dengke Xu, 2023. "A Bayesian Variable Selection Method for Spatial Autoregressive Quantile Models," Mathematics, MDPI, vol. 11(4), pages 1-19, February.
    15. 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).
    16. 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.
    17. Philip Kostov, 2013. "Empirical likelihood estimation of the spatial quantile regression," Journal of Geographical Systems, Springer, vol. 15(1), pages 51-69, January.
    18. Dries Benoit & Rahim Alhamzawi & Keming Yu, 2013. "Bayesian lasso binary quantile regression," Computational Statistics, Springer, vol. 28(6), pages 2861-2873, December.
    19. 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.
    20. 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.
    21. 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.
    22. 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.

  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. 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.
    2. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    3. 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.
    4. 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.
    5. 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.
    6. DHAENE, Geert & JOCHMANS, Koen, 2010. "Split-panel jackknife estimation of fixed-effect models," LIDAM Discussion Papers CORE 2010003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. 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.
    8. Manuel Arellano & Stéphane Bonhomme, 2007. "Robust priors in nonlinear panel data models," CeMMAP working papers CWP07/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. 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.
    10. Javier Álvarez & Manuel Arellano, 2004. "Robust Likelihood Estimation of Dynamic Panel Data Models," Working Papers wp2004_0421, CEMFI.
    11. 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.
    12. 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.
    13. Yoshitsugu Kitazawa, 2009. "A negative binomial model and moment conditions for count panel data," Discussion Papers 34, Kyushu Sangyo University, Faculty of Economics.
    14. 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).
    15. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile And Probability Curves Without Crossing," Boston University - Department of Economics - Working Papers Series WP2007-011, Boston University - Department of Economics.
    16. Aneesh Raghunandan & Thomas G. Ruchti, 2024. "The Impact of Information Frictions Within Regulators: Evidence from Workplace Safety Violations," Journal of Accounting Research, Wiley Blackwell, vol. 62(3), pages 1067-1120, June.
    17. 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.
    18. 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.
    19. Yoshitsugu Kitazawa, 2010. "A forward demeaning transformation for a dynamic count panel data model," Discussion Papers 39, Kyushu Sangyo University, Faculty of Economics.
    20. 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.
    21. 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.
    22. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Forecasting with Dynamic Panel Data Models," Papers 1709.10193, arXiv.org.
    23. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    24. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    25. Hospido, Laura, 2010. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," IZA Discussion Papers 4712, Institute of Labor Economics (IZA).
    26. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    27. Kazuhiko Hayakawa & M. Hashem Pesaran & L. Vanessa Smith, 2023. "Short T dynamic panel data models with individual, time and interactive effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 940-967, September.
    28. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers 04/17, Institute for Fiscal Studies.
    29. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    30. Koen Jochmans, 2023. "Bootstrap inference for fixed-effect models," French Stata Users' Group Meetings 2023 21, Stata Users Group.
    31. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    32. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    33. Geert Dhaene & Koen Jochmans, 2013. "Likelihood inference in an Autoregression with fixed effects," Working Papers hal-01070434, HAL.
    34. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2021. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Land Economics, University of Wisconsin Press, vol. 97(4), pages 875-892.
    35. Martin Schumann & Thomas A. Severini & Gautam Tripathi, 2017. "Integrated Likelihood Based Inference for Nonlinear Panel Data Models with Unobserved Effects," DEM Discussion Paper Series 17-01, Department of Economics at the University of Luxembourg.
    36. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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).
    43. 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.
    44. 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.
    45. Bai, Jushan, 2024. "Likelihood approach to dynamic panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 240(1).
    46. 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.
    47. 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.
    48. 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.
    49. Tata Subba Rao & Granville Tunnicliffe Wilson & Wei Gao & Wicher Bergsma & Qiwei Yao, 2017. "Estimation for Dynamic and Static Panel Probit Models with Large Individual Effects," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 266-284, March.
    50. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.
    51. Orcun Kaya, 2014. "Is perceived financial inadequacy persistent?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 636-654, December.
    52. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers 60/13, Institute for Fiscal Studies.
    53. Arellano, M., 2001. "Discrete Choices with Panel Data," Papers 0101, Centro de Estudios Monetarios Y Financieros-.
    54. Zhang, Junjie & Mu, Quan, 2018. "Air pollution and defensive expenditures: Evidence from particulate-filtering facemasks," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 517-536.
    55. Lazkano, Itziar & Nøstbakken, Linda & Pelli, Martino, 2016. "From Fossil Fuels to Renewables: The Role of Electricity Storage," Discussion Paper Series in Economics 11/2016, Norwegian School of Economics, Department of Economics.
    56. Manuel Arellano & Jinyong Hahn, 2005. "Understanding Bias in Nonlinear Panel Models: Some Recent Developments," Working Papers wp2005_0507, CEMFI.
    57. Mewes, Lars & Broekel, Tom, 2022. "Technological complexity and economic growth of regions," Research Policy, Elsevier, vol. 51(8).
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    377. Yakubu Abdul-Salam & Euan Phimister, 2017. "Efficiency Effects of Access to Information on Small-scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 494-517, June.
    378. Do Won Kwak & Kam Ki Tang & Juyoung Cheong, 2017. "The projection approach for multi-way error components models with partially balanced panel data," Discussion Papers Series 583, School of Economics, University of Queensland, Australia.
    379. Amel-Zadeh, Amir & Meeks, Geoff, 2019. "Bidder earnings forecasts in mergers and acquisitions," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 373-392.
    380. Wang Zhen & Vukina Tomislav, 2019. "Sorting into Contests: Evidence from Production Contracts," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(1), pages 1-15, January.
    381. Hiep Ngoc Luu & Tram Anh Nguyen & Ngoc Minh Nguyen & Dam Duc Le & Khoi Trong Dao, 2024. "The impact of recentralization reform on corruption: evidence from a quasi‐natural experiment," Kyklos, Wiley Blackwell, vol. 77(1), pages 118-148, February.
    382. Taylor A Begley & Daniel Weagley, 2023. "Firm Finances and the Spread of COVID-19: Evidence from Nursing Homes," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 12(1), pages 1-35.
    383. Connolly, Eric J. & Schwartz, Joseph A. & Block, Kristina, 2022. "The role of poor sleep on the development of self-control and antisocial behavior from adolescence to adulthood," Journal of Criminal Justice, Elsevier, vol. 82(C).
    384. Fonseka, Mohan & Richardson, Grant, 2023. "The effect of mandatory corporate social responsibility disclosure and performance on firms’ dividend decisions: Evidence from China," Economic Modelling, Elsevier, vol. 120(C).
    385. Thomas Bolli & Tommaso Agasisti & Geraint Johnes, 2015. "The impact of institutional student support on graduation rates in US Ph.D. programmes," Education Economics, Taylor & Francis Journals, vol. 23(4), pages 396-418, August.
    386. Aistov, Andrey V. (Аистов, Андрей) & Aleksandrova, Ekaterina A. (Александрова, Екатерина), 2018. "Ex Post Moral Hazard in Private Health Insurance [Постконтрактный Оппортунизм На Рынке Добровольного Медицинского Страхования]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 148-181, June.
    387. Loukia Meligkotsidou & Elias Tzavalis & Ioannis D. Vrontos, 2012. "A Bayesian panel data framework for examining the economic growth convergence hypothesis: do the G7 countries converge?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(9), pages 1975-1990, May.
    388. Costanza Naguib, 2022. "Did earnings mobility change after minimum wage introduction? Evidence from parametric and semi‐nonparametric methods in Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1379-1402, November.
    389. Cantillon, Estelle & Yin, Pai-Ling, 2008. "Competition between Exchanges: Lessons from the Battle of the Bund," CEPR Discussion Papers 6923, C.E.P.R. Discussion Papers.
    390. Kyungmin Park & Stephanie Lee & Shahryar Doosti & Yong Tan, 2023. "Provision of helpful review videos: Effects of video characteristics on perceived helpfulness," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2031-2048, July.
    391. Seonho Shin, 2021. "Were they a shock or an opportunity?: The heterogeneous impacts of the 9/11 attacks on refugees as job seekers—a nonlinear multi-level approach," Empirical Economics, Springer, vol. 61(5), pages 2827-2864, November.
    392. Grottke, Markus & Kittl, Maximilian, 2016. "First the stick, then the carrot? A cross-country evaluation of the OECD's initiative against harmful tax competition," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-21-16, University of Passau, Faculty of Business and Economics.
    393. Krishna Chaitanya Vadlamannati & Arusha Cooray, 2015. "Do transparency initiatives work? Assessing the impact of the Special Data Dissemination Standard (SDDS) on data transparency," CAMA Working Papers 2015-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    394. Huang, Chia-Wei & Lin, Chih-Yen, 2023. "Extreme negative events and corporate acquisitions: Terrorist attacks," Global Finance Journal, Elsevier, vol. 58(C).
    395. Lee, Y-W.;, 2019. "Effects of Parental Job Loss and Insecurity on Children’s Health: Evidence from Korea," Health, Econometrics and Data Group (HEDG) Working Papers 19/09, HEDG, c/o Department of Economics, University of York.
    396. Yuliya Demyanyk & Elena Loutskina, 2012. "Mortgage companies and regulatory arbitrage," Working Papers (Old Series) 1220R, Federal Reserve Bank of Cleveland.
    397. Alexander Robitzsch, 2021. "A Comprehensive Simulation Study of Estimation Methods for the Rasch Model," Stats, MDPI, vol. 4(4), pages 1-23, October.
    398. Oksana Tokarchuk & Roberto Gabriele & Oswin Maurer, 2017. "Development of city tourism and well-being of urban residents," Tourism Economics, , vol. 23(2), pages 343-359, March.
    399. Yue, Heng & Zhang, Liandong & Zhong, Qinlin, 2022. "The politics of bank opacity," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    400. Can Sever & Emekcan Yucel, 2020. "Macroprudential Policy and Elections: What Matters? Abstract:," Working Papers 2020/01, Bogazici University, Department of Economics.
    401. Elizabeth Blankespoor & Bradley E. Hendricks & Joseph Piotroski & Christina Synn, 2022. "Real-time revenue and firm disclosure," Review of Accounting Studies, Springer, vol. 27(3), pages 1079-1116, September.
    402. Emily Wiemers, 2014. "The Effect of Unemployment on Household Composition and Doubling Up," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2155-2178, December.
    403. Anirudh Shingal & Malte Ehrich & Liliana Foletti, 2021. "Re‐estimating the effect of heterogeneous standards on trade: Endogeneity matters," The World Economy, Wiley Blackwell, vol. 44(3), pages 756-787, March.
    404. José Tudón, 2022. "Distilling network effects from Steam," Quantitative Marketing and Economics (QME), Springer, vol. 20(3), pages 293-312, September.
    405. Rios-Avila, Fernando & Siles, Leonardo & Canavire Bacarreza, Gustavo J., 2024. "Estimating Quantile Regressions with Multiple Fixed Effects through Method of Moments," IZA Discussion Papers 17262, Institute of Labor Economics (IZA).
    406. Kim, Youngsoo, 2022. "Taxi driver’s learning curves: An empirical analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 1-13.
    407. Nozaki, Yuko & Matsuura, Katsumi, 2020. "The impact of household resources on child behavioral problems," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 282-292.
    408. Claussen, Jörg & Engelstätter, Benjamin & Ward, Michael R., 2014. "Susceptibility and influence in social media word-of-mouth," ZEW Discussion Papers 14-129, ZEW - Leibniz Centre for European Economic Research.
    409. Andrew Smith & Phill Wheat, 2012. "Estimation of cost inefficiency in panel data models with firm specific and sub-company specific effects," Journal of Productivity Analysis, Springer, vol. 37(1), pages 27-40, February.
    410. Aaron Chalfin & Michael LaForest & Jacob Kaplan, 2021. "Can Precision Policing Reduce Gun Violence? Evidence from “Gang Takedowns” in New York City," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1047-1082, September.
    411. Aquilante, Tommaso, 2015. "Bureaucrats or Politicians? Political Parties and Antidumping in the US," MPRA Paper 70359, University Library of Munich, Germany.
    412. Lamar Pierce & Jason Snyder, 2008. "Ethical Spillovers in Firms: Evidence from Vehicle Emissions Testing," Management Science, INFORMS, vol. 54(11), pages 1891-1903, November.
    413. Sever, Can, 2021. "Political booms and currency crises," Journal of Macroeconomics, Elsevier, vol. 70(C).
    414. 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.
    415. Minh-Lý Liêu, 2021. "Peer attention and the disposition effect," Working Papers Dissertations 81, Paderborn University, Faculty of Business Administration and Economics.
    416. 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.

  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. Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2009. "A Practitioner's Guide To Bayesian Estimation Of Discrete Choice Dynamic Programming Models," Working Paper 1201, Economics Department, Queen's University.
    2. Victor Aguirregabiria & Pedro mira, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers tecipa-297, University of Toronto, Department of Economics.
    3. M. Daniele Paserman, 2008. "Job Search and Hyperbolic Discounting: Structural Estimation and Policy Evaluation," Economic Journal, Royal Economic Society, vol. 118(531), pages 1418-1452, August.
    4. Susumu Imai & Neelam Jain, 2005. "Bayesian Estimation of Dynamic Discrete Choice Models," 2005 Meeting Papers 432, Society for Economic Dynamics.
    5. Koop, Gary, 2001. "Bayesian inference in models based on equilibrium search theory," Journal of Econometrics, Elsevier, vol. 102(2), pages 311-338, June.
    6. 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.
    7. Sareen, Samita, 2003. "Reference Bayesian inference in nonregular models," Journal of Econometrics, Elsevier, vol. 113(2), pages 265-288, April.
    8. 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.).
    9. Keane, Michael, 2003. "Comment on “Simulation and Estimation of Hedonic Models” by Heckman, Matzkin and Nesheim," MPRA Paper 55141, University Library of Munich, Germany.
    10. Geweke, John & Houser, Dan & Keane, Michael, 1999. "Simulation Based Inference for Dynamic Multinomial Choice Models," MPRA Paper 54279, University Library of Munich, Germany.
    11. 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.
    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. 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.
  7. 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.
  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, 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. Gutknecht, Daniel, 2016. "Testing for monotonicity under endogeneity," Journal of Econometrics, Elsevier, vol. 190(1), pages 100-114.
    3. 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.
    4. 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.
    5. Andrew Chesher & Dongwoo Kim & Adam Rosen, 2021. "IV methods for Tobit models," CeMMAP working papers CWP26/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. 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.
    7. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    8. Chantal Cases, 1996. "Assurance-chômage et offre de travail," Économie et Statistique, Programme National Persée, vol. 291(1), pages 139-150.
    9. 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.
    10. 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.
    11. Marit Hinnosaar, 2003. "Reservation wages in Estonia," Bank of Estonia Working Papers 2003-1, Bank of Estonia, revised 11 Oct 2003.
    12. Gutknecht, Daniel, 2012. "Do Reservation Wages Decline Monotonically? A Novel Statistical Test," Economic Research Papers 270635, University of Warwick - Department of Economics.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. Pedro Portugal & John T. Addison, 2010. "The Reservation Wage Unemployment Duration Nexus," Working Papers w201026, Banco de Portugal, Economics and Research Department.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Marit Rõõm, 2003. "Reservation wages in Estonia," Labor and Demography 0303001, University Library of Munich, Germany.
    24. 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.
    25. 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.
    26. Böheim, René, 2002. "The association between reported and calculated reservation wages," ISER Working Paper Series 2002-07, Institute for Social and Economic Research.

  10. 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.

  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. James E. Prieger, 2003. "Bootstrapping the Conditional Moment Test for Parametric Duration Models," Working Papers 30, University of California, Davis, Department of Economics.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Sylvie Démurger & Hui Xu, 2011. "Left-Behind Children and Return Decisions of Rural Migrants in China," Working Papers 1122, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    7. Lawrence F. Katz & Bruce D. Meyer, 1988. "The Impact of the Potential Duration of Unemployment Benefits on the Duration of Unemployment," Working Papers 621, Princeton University, Department of Economics, Industrial Relations Section..
    8. Cho, Jin Seo & White, Halbert, 2010. "Testing for unobserved heterogeneity in exponential and Weibull duration models," Journal of Econometrics, Elsevier, vol. 157(2), pages 458-480, August.
    9. James E. Prieger, 2003. "Conditional Moment Tests for Parametric Duration Models," Working Papers 246, University of California, Davis, Department of Economics.
    10. 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.
    11. 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. 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.
    13. 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.
    14. 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.
    15. Narendranathan, W. & Stewart, M.B., 1989. "Modelling The Probability Of Leaving Unemployment: Competing Risks Models With Flexible Baseline Hazards," The Warwick Economics Research Paper Series (TWERPS) 331, University of Warwick, Department of Economics.
    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. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Li, Yang, 1996. "International migration under incomplete information: a re-migration analysis," ISU General Staff Papers 1996010108000012549, Iowa State University, Department of Economics.

  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. 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.
    2. 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.
    3. 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.
    4. Russell Davidson & James G. MacKinnon, 1987. "Testing for Consistency using Artificial Regressions," Working Paper 687, Economics Department, Queen's University.
    5. 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.
    6. Prokhorov, Artem, 2008. "A goodness-of-fit test for copulas," MPRA Paper 9998, University Library of Munich, Germany.
    7. Choi, Hwan-sik, 2016. "Information theory for maximum likelihood estimation of diffusion models," Journal of Econometrics, Elsevier, vol. 191(1), pages 110-128.
    8. James G. MacKinnon & Russell Davidson, 2001. "Artificial Regressions," Working Paper 1038, Economics Department, Queen's University.
    9. Li, Yong & Yu, Jun & Zeng, Tao, 2018. "Specification tests based on MCMC output," Journal of Econometrics, Elsevier, vol. 207(1), pages 237-260.
    10. John Mullahy, 2011. "Multivariate Fractional Regression Estimation Of Econometric Share Models," Working Papers 201133, Geary Institute, University College Dublin.
    11. Russell Davidson & James G. MacKinnon, 1994. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," Working Paper 903, Economics Department, Queen's University.
    12. Cho, Jin Seo & White, Halbert, 2010. "Testing for unobserved heterogeneity in exponential and Weibull duration models," Journal of Econometrics, Elsevier, vol. 157(2), pages 458-480, August.
    13. 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.
    14. CHESHER, Andrew & DHAENE, Geert & GOURIEROUX, Christian & SCAILLET, Olivier, 1999. "Bartlett identities tests," LIDAM Discussion Papers CORE 1999039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. 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.
    16. 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.
    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. Davidson, Russell & MacKinnon, James G., 1987. "Double-Length Artificial Regressions," Queen's Institute for Economic Research Discussion Papers 275209, Queen's University - Department of Economics.
    19. 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.
    20. 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.
    21. Francesca Iorio & Riccardo Lucchetti & Rosaria Simone, 2024. "Testing distributional assumptions in CUB models for the analysis of rating data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 669-701, September.
    22. Dhaene, Geert & Hoorelbeke, Dirk, 2004. "The information matrix test with bootstrap-based covariance matrix estimation," Economics Letters, Elsevier, vol. 82(3), pages 341-347, March.
    23. 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.
    24. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    25. Joel L. Horowitz, 1996. "Bootstrap Methods in Econometrics: Theory and Numerical Performance," Econometrics 9602009, University Library of Munich, Germany, revised 05 Mar 1996.
    26. Wasel Shadat, 2011. "On the Nonparametric Tests of Univariate GARCH Regression Models," Economics Discussion Paper Series 1115, Economics, The University of Manchester.
    27. 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.
    28. Dante Amengual & Gariele Fiorentini & Enrique Sentan, 2024. "Information matrix tests for multinomial logit models," Working Papers wp2024_2406, CEMFI.
    29. 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.
    30. 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.
    31. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2024. "The information matrix test for Gaussian mixtures," Working Papers wp2024_2401, CEMFI.
    32. Dirk Hoorelbeke, 2004. "Bootstrap correcting the score test," Econometric Society 2004 North American Summer Meetings 228, Econometric Society.
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    1. 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.
    2. 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.
    3. 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..
    4. Jean-Pierre Florens & Denis Fougère & Thierry Kamionka & Michel Mouchart, 1994. "La modélisation économétrique des transitions individuelles sur le marché du travail," Économie et Prévision, Programme National Persée, vol. 116(5), pages 181-217.
    5. 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.
    6. Costas Meghir & Edward Whitehouse, 1993. "Labour market transitions and retirement of men in the UK," IFS Working Papers W93/12, Institute for Fiscal Studies.
    7. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    8. Liliane Bonnal & Denis Fougère, 1990. "Les déterminants individuels de la durée du chômage," Économie et Prévision, Programme National Persée, vol. 96(5), pages 45-82.
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    11. García Pérez, J. Ignacio, 2008. "Unemployment duration among immigrants and natives: unobserved heterogeneity in a multi-spell duration model," UC3M Working papers. Economics we086933, Universidad Carlos III de Madrid. Departamento de Economía.
    12. Lancaster, Tony & Imbens, Guido, 1995. "Optimal stock/flow panels," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 325-348.
    13. 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.
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    Cited by:

    1. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.

  15. Lancaster, Tony & Chesher, Andrew, 1983. "An Econometric Analysis of Reservation Wages," Econometrica, Econometric Society, vol. 51(6), pages 1661-1676, November.

    Cited by:

    1. Barbara Petrongolo & Christopher A. Pissarides, 2003. "Scale Effects in Markets with Search," CEP Discussion Papers dp0571, Centre for Economic Performance, LSE.
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    5. B. Dormont & D. Fougère & A. Prieto, 2001. "L'effet de l'allocation unique dégressive sur la reprise d'emploi," THEMA Working Papers 2001-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    6. Christian Keuschnigg, 2008. "Corporate Taxation and the Welfare State," University of St. Gallen Department of Economics working paper series 2008 2008-18, Department of Economics, University of St. Gallen.
    7. Madhu Mohanty, 2005. "An alternative method of estimating the worker's reservation wage," International Economic Journal, Taylor & Francis Journals, vol. 19(4), pages 501-522.
    8. Koenig, Felix & Manning, Alan & Petrongolo, Barbara, 2014. "Reservation wages and the wage flexibility puzzle," LSE Research Online Documents on Economics 60613, London School of Economics and Political Science, LSE Library.
    9. Amelie F. Constant & Annabelle Krause & Ulf Rinne & Klaus F. Zimmermann, 2017. "Reservation wages of first- and second-generation migrants," Applied Economics Letters, Taylor & Francis Journals, vol. 24(13), pages 945-949, July.
    10. Pedro Portugal & John T. Addison, 2008. "Unemployment Benefits and Reservation Wages: Key Elasticities from a Stripped-Down Job Search Approach," Working Papers w200803, Banco de Portugal, Economics and Research Department.
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  16. Lancaster, Tony & Chesher, Andrew, 1981. "Stock and flow sampling," Economics Letters, Elsevier, vol. 8(1), pages 63-65.

    Cited by:

    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.

    Cited by:

    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.

    Cited by:

    1. Rocha, Vera & Carneiro, Anabela & Amorim Varum, Celeste, 2015. "Serial entrepreneurship, learning by doing and self-selection," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 91-106.
    2. Aguilar, Mª. Isabel & Díaz, Bárbara, 2019. "Length of stay of international tourists in Spain: A parametric survival analysis," Annals of Tourism Research, Elsevier, vol. 79(C).
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    Cited by:

    1. Bijwaard, Govert & Ridder, Geert, 2009. "A Simple GMM Estimator for the Semi-Parametric Mixed Proportional Hazard Model," IZA Discussion Papers 4543, Institute of Labor Economics (IZA).
    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.

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    1. Robert Goffin, 1970. "La distribution des dividendes dans l'hypothèse de revenu permanent," Revue Économique, Programme National Persée, vol. 21(6), pages 929-972.
    2. 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.

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, November.

    Cited by:

    1. 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.
    2. Ricardo Hausmann & Rodrigo Wagner & Francisco Rodriguez, 2006. "Growth Collapses," Growth Lab Working Papers 7, Harvard's Growth Lab.
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    6. 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.
    7. Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2022. "Business Training with a Better-Informed Lender: Theory and Evidence from Microcredit in France," Annals of Economics and Statistics, GENES, issue 148, pages 65-108.
    8. 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.
    9. 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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    12. 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).
    13. Alexandre SAUQUET, 2011. "Exploring the Nature of Strategic Interactions in the Ratification Process of the Kyoto Protocol," Working Papers 201119, CERDI.
    14. Mgomezulu, Wisdom Richard & Machila, Kennedy & Edriss, Abdi-Khalil & Pangapanga-Phiri, Innocent, 2024. "Understanding Farmer Adoption Decisions of Sustainable Agricultural Practices under Varying Agro-ecological Conditions: A New Perspective," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344289, International Association of Agricultural Economists (IAAE).
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Jiun-Hua Su, 2019. "Counterfactual Inference in Duration Models with Random Censoring," Papers 1902.08502, arXiv.org.
    21. Glocker, Daniela & Steiner, Viktor, 2007. "Self-Employment: A Way to End Unemployment? Empirical Evidence from German Pseudo-Panel Data," IZA Discussion Papers 2561, Institute of Labor Economics (IZA).
    22. 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.
    23. Marc F. Bellemare & Lindsey Novak, 2017. "Contract Farming and Food Security," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 357-378.
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    25. Stephen Ziliak, 2002. "Pauper Fiction in Economic Science: "Paupers in Almshouses" and the Odd Fit of Oliver Twist," Review of Social Economy, Taylor & Francis Journals, vol. 60(2), pages 159-181.
    26. Cynthia Kroll & Diana Lee & Nadir Shams, 2010. "The Dot-Com Boom and Bust in the Context of Regional and Sectoral Changes," Industry and Innovation, Taylor & Francis Journals, vol. 17(1), pages 49-69.
    27. Jos Van Ommeren & Giovanni Russo, 1997. "Are vacancies difficult to fill? an empirical investigation of the Dutch labour market," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 349-357.
    28. Dixon, H. D., 2009. "A unified framework for understanding and comparing dynamic wage and price-setting models," Working papers 257, Banque de France.
    29. 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.
    30. 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.
    31. Ziliak, Stephen T., 1997. "Kicking the Malthusian vice: Lessons from the abolition of "welfare" in the late nineteenth century," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(2), pages 449-468.
    32. Richard Disney & Helen Miller & Thomas Pope, 2018. "Firm-level investment spikes and aggregate investment over the Great Recession," IFS Working Papers W18/03, Institute for Fiscal Studies.
    33. Ray Bachan & Barry Reilly & Robert Witt, 2005. "The Hazard of Being an English Football League Manager: Empirical Estimates from the 2002/3 Season," School of Economics Discussion Papers 1605, School of Economics, University of Surrey.
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