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Justin Tobias

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Herriges, Joseph & Kling, Catherine & Liu, Chih-Chen & Tobias, Justin, 2010. "What are the consequences of consequentiality?," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 67-81, January.

    Mentioned in:

    1. > Environmental and Natural Resource Economics > Environmental Economics > Valuation > Contingent valuation method > Hypothetical bias

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Mingliang Li & Dale J. Poirier & Justin L. Tobias, 2004. "Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 203-225.

    Mentioned in:

    1. Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models (Journal of Applied Econometrics 2004) in ReplicationWiki ()
  2. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.

    Mentioned in:

    1. A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond (Journal of Applied Econometrics 2003) in ReplicationWiki ()

Working papers

  1. Joshua C.C. Chan & Justin L. Tobias, 2012. "Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments," ANU Working Papers in Economics and Econometrics 2012-580, Australian National University, College of Business and Economics, School of Economics.

    Cited by:

    1. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
    2. Iordanis Parikoglou & Grigorios Emvalomatis & Doris Läpple & Fiona Thorne & Michael Wallace, 2024. "The contribution of innovation to farm-level productivity," Journal of Productivity Analysis, Springer, vol. 62(2), pages 239-255, October.
    3. Jiti Gao & Bin Peng & Zhao Ren & Xiaohui Zhang, 2015. "Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index," Monash Econometrics and Business Statistics Working Papers 21/15, Monash University, Department of Econometrics and Business Statistics.

  2. Abidoye, Babatunde & Herriges, Joseph A. & Tobias, Justin, 2010. "Controlling for Observed and Unobserved Site Characteristics in Rum Models of Recreation Demand," Staff General Research Papers Archive 31559, Iowa State University, Department of Economics.

    Cited by:

    1. David A. Keiser, 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," Center for Agricultural and Rural Development (CARD) Publications 18-wp581, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Longo, Alberto & Hutchinson, W. George & Hunter, Ruth F. & Tully, Mark A. & Kee, Frank, 2015. "Demand response to improved walking infrastructure: A study into the economics of walking and health behaviour change," Social Science & Medicine, Elsevier, vol. 143(C), pages 107-116.
    3. Lindley, Sarah & Albeke, Shannon & Viers, Joshua & Parsons, George & Johnston, Robert & Newbold, Stephen C., 2022. "Valuing Satellite Data for Harmful Algal Bloom Early Warning Systems," RFF Working Paper Series 22-23, Resources for the Future.
    4. Keiser, David A., 2018. "The Missing Benefits of Clean Water and the Role of Mismeasured Pollution," ISU General Staff Papers 201806290700001048, Iowa State University, Department of Economics.
    5. Babatunde Abidoye & Joseph Herriges, 2012. "Model Uncertainty in Characterizing Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(2), pages 251-277, October.
    6. Hocheol Jeon & Joseph A. Herriges, 2017. "Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1053-1086, December.
    7. Odusola, Ayodele & Abidoye, Babatunde, 2015. "Effects of Temperature and Rainfall Shocks on Economic Growth in Africa," UNDP Africa Research Discussion Papers 267028, United Nations Development Programme (UNDP).
    8. Melstrom, Richard T. & Jayasekera, Deshamithra H.W., 2016. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236252, Agricultural and Applied Economics Association.
    9. Yi, DongGyu, 2014. "Three studies on environmental valuation," ISU General Staff Papers 201401010800005065, Iowa State University, Department of Economics.
    10. Melstrom, Richard T. & Lupi, Frank, 2013. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149732, Agricultural and Applied Economics Association.
    11. Kuwayama, Yusuke & Olmstead, Sheila & Zheng, Jiameng, 2022. "A more comprehensive estimate of the value of water quality," Journal of Public Economics, Elsevier, vol. 207(C).
    12. Abidoye, Babatunde & Odusola, Ayodele, 2015. "Climate Change and Economic Growth in Africa: An Econometric Analysis," UNDP Africa Economists Working Papers 307336, United Nations Development Programme (UNDP).
    13. Gelo, Dambala & Turpie, Jane, 2021. "Bayesian analysis of demand for urban green space: A contingent valuation of developing a new urban park," Land Use Policy, Elsevier, vol. 109(C).

  3. Herriges, Joseph A. & Kling, Catherine L. & Liu, Chih-Chen & Tobias, Justin, 2009. "What Are the Consequences of Consequentiality?," Staff General Research Papers Archive 13034, Iowa State University, Department of Economics.

    Cited by:

    1. Donfouet, Hermann Pythagore Pierre & Mohamed, Shukri F. & Otieno, Peter & Wambiya, Elvis & Mutua, Martin Kavao & Danaei, Goodarz, 2020. "Economic valuation of setting up a social health enterprise in urban poor-resource setting in Kenya," Social Science & Medicine, Elsevier, vol. 266(C).
    2. Frondel, Manuel & Kutzschbauch, Ole & Sommer, Stephan & Traub, Stefan, 2017. "Die Gerechtigkeitslücke in der Verteilung der Kosten der Energiewende auf die privaten Haushalte," RWI Materialien 113, RWI - Leibniz-Institut für Wirtschaftsforschung.
    3. Ewa Zawojska & Anna Bartczak & Mikołaj Czajkowski, 2018. "Disentangling the effects of policy and payment consequentiality and risk attitudes on stated preferences," Working Papers 2018-01, Faculty of Economic Sciences, University of Warsaw.
    4. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2024. "Omitted downstream attributes and the benefits of nutrient reductions: Implications for choice experiments," Ecological Economics, Elsevier, vol. 222(C).
    5. Alicia Entem & Patrick Lloyd‐Smith & Wiktor ( Vic) L. Adamowicz & Peter C. Boxall, 2022. "Using inferred valuation to quantify survey and social desirability bias in stated preference research," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1224-1242, August.
    6. Fifer, Simon & Rose, John & Greaves, Stephen, 2014. "Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 164-177.
    7. Jie He & Jérôme Dupras & Franck Ndefo & Thomas Poder, 2020. "Payment and provision consequentiality in voluntary contribution mechanism: separate or joint effects?," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 11-36, April.
    8. Timothy C. Haab & Matthew G. Interis & Daniel R. Petrolia & John C. Whitehead, 2013. "From Hopeless to Curious? Thoughts on Hausman's 'Dubious to Hopeless' Critique of Contingent Valuation," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(4), pages 593-612.
    9. Malte Welling & Ewa Zawojska & Julian Sagebiel, 2022. "Information, Consequentiality and Credibility in Stated Preference Surveys: A Choice Experiment on Climate Adaptation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 257-283, May.
    10. Chris Moore & Dennis Guignet & Kelly B. Maguire & Chris Dockins & Nathalie B. Simon, 2015. "A Stated Preference Study of the Chesapeake Bay and Watershed Lakes," NCEE Working Paper Series 201506, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Nov 2015.
    11. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    12. Meles, Tensay Hadush & Lokina, Razack & Mtenga, Erica Louis & Tibanywana, Julieth Julius, 2023. "Stated preferences with survey consequentiality and outcome uncertainty: A split sample discrete choice experiment," EfD Discussion Paper 23-16, Environment for Development, University of Gothenburg.
    13. Interis, Matthew & Petrolia, Daniel, 2014. "The Effects of Consequentiality in Binary- and Multinomial-Choice Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-16.
    14. John C. Whitehead & Andrew Ropicki & John Loomis & Sherry Larkin & Tim Haab & Sergio Alvarez, 2021. "Estimating the Benefits to Florida Households from Avoiding Another Gulf Oil Spill Using the Contingent Valuation Method: Internal Validity Tests with Probability-based and Opt-in Samples," Working Papers 21-13, Department of Economics, Appalachian State University.
    15. Andor, Mark Andreas & Frondel, Manuel & Horvath, Marco, 2020. "Consequentiality, elicitation formats, and the willingness-to-pay for green electricity: Evidence from Germany," Ruhr Economic Papers 841, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Craig D. Broadbent, 2012. "Hypothetical Bias, Consequentiality and Choice Experiments," Economics Bulletin, AccessEcon, vol. 32(3), pages 2490-2499.
    17. José L. Oviedo & Hong Il Yoo, 2017. "A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1021-1051, December.
    18. Peter A. Groothuis & Tanga M. Mohr & John C. Whitehead & Kristan Cockerill, 2015. "Payment and Policy Consequentiality in Contingent Valuation," Working Papers 15-04, Department of Economics, Appalachian State University.
    19. Hermann Donfouet & Ephias Makaudze & Pierre-Alexandre Mahieu & Eric Malin, 2011. "The determinants of the willingness-to-pay for community-based prepayment scheme in rural Cameroon," International Journal of Health Economics and Management, Springer, vol. 11(3), pages 209-220, September.
    20. Czajkowski, Mikołaj & Vossler, Christian A. & Budziński, Wiktor & Wiśniewska, Aleksandra & Zawojska, Ewa, 2017. "Addressing empirical challenges related to the incentive compatibility of stated preferences methods," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 47-63.
    21. Penn, Jerrod & Hu, Wuyang, 2016. "Making the Most of Cheap Talk in an Online Survey," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236171, Agricultural and Applied Economics Association.
    22. Herriges, Joseph & Kling, Catherine L. & Liu, Chih-Chen & Tobias, Justin, 2010. "What are the consequences of consequentiality?," ISU General Staff Papers 201001010800001561, Iowa State University, Department of Economics.
    23. Petrolia, Daniel R. & Interis, Matthew G. & Hwang, Joonghyun, 2013. "America’s Wetland? A National Survey of Willingness to Pay for Restoration of Louisiana’s Coastal Wetlands," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142305, Southern Agricultural Economics Association.
    24. Harold, Jason & Bertsch, Valentin & Fell, Harrison, 2021. "Preferences for curtailable electricity contracts: Can curtailment benefit consumers and the electricity system?," Energy Economics, Elsevier, vol. 102(C).
    25. Christian A. Vossler, 2016. "Chamberlin Meets Ciriacy-Wantrup: Using Insights from Experimental Economics to Inform Stated Preference Research," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(1), pages 33-48, March.
    26. Zawojska, Ewa & Gastineau, Pascal & Mahieu, Pierre-Alexandre & Cheze, Benoit & Paris, Anthony, 2021. "Measuring policy consequentiality perceptions in stated preference surveys," 2021 Annual Meeting, August 1-3, Austin, Texas 313977, Agricultural and Applied Economics Association.
    27. Davidson, Kelly A. & Goodrich, Brittney K., 2020. "Nudge to Insure: Can Informational Nudges Increase Enrollment in Pasture, Rangeland and Forage Rainfall Index Insurance?," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304550, Agricultural and Applied Economics Association.
    28. Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stéphane Luchini, 2011. "A Test of Cheap Talk in Different Hypothetical Contexts: The Case of Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 111-130, September.
    29. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    30. Frondel, Manuel & Andor, Mark & Vance, Colin, 2015. "Mitigating Hypothetical Bias: Evidence on the Effects of Correctives from a Large Field Study," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112990, Verein für Socialpolitik / German Economic Association.
    31. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    32. Vossler, Christian A. & Watson, Sharon B., 2013. "Understanding the consequences of consequentiality: Testing the validity of stated preferences in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 137-147.
    33. Meginnis, Keila & Hanley, Nick & Mujumbusi, Lazaaro & Lamberton, Poppy H.L., 2020. "Non-monetary numeraires: Varying the payment vehicle in a choice experiment for health interventions in Uganda," Ecological Economics, Elsevier, vol. 170(C).
    34. Christian A. Vossler & Stéphane Bergeron & Maurice Doyon & Daniel Rondeau, 2023. "Revisiting the Gap between the Willingness to Pay and Willingness to Accept for Public Goods," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(2), pages 413-445.
    35. Maurice Doyon & Stéphane Bergeron & Jérôme Cimon-Morin & Monique Poulin, 2015. "Comptabilisation de la valeur économique des milieux humides en minganie," CIRANO Project Reports 2015rp-17, CIRANO.
    36. Sardana, Kavita, 2019. "Tourists' Willingness to Pay for Restoration of Traditional Agro-forest Ecosystems Providing Biodiversity: Evidence from India," Ecological Economics, Elsevier, vol. 159(C), pages 362-372.
    37. Poe, Gregory L. & Vossler, Christian A., 2009. "Consequentiality and contingent values: an emerging paradigm," MPRA Paper 38864, University Library of Munich, Germany.
    38. Needham, Katherine & Czajkowski, Mikołaj & Hanley, Nick & LaRiviere, Jacob, 2018. "What is the causal impact of information and knowledge in stated preference studies?," Resource and Energy Economics, Elsevier, vol. 54(C), pages 69-89.
    39. Hwang, Joonghyun & Petrolia, Daniel R. & Interis, Matthew G., 2014. "Consequentiality and Opt-out Responses in Stated Preference Surveys," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0, pages 1-18.
    40. George Parsons & Kelley Myers, 2017. "Fat tails and truncated bids in contingent valuation: an application to an endangered shorebird species," Chapters, in: Daniel McFadden & Kenneth Train (ed.), Contingent Valuation of Environmental Goods, chapter 2, pages 17-42, Edward Elgar Publishing.
    41. Jie He & Jérôme Dupras & Thomas G. Poder, 2018. "Payment and Provision Consequentiality in Voluntary Contribution Mechanism: Single or Double “Knife-Edge” Evidence?," Cahiers de recherche 18-02, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    42. Maurice Doyon & Stéphane Bergeron & Jacinthe Cloutier, 2022. "Analyse des préférences des résidents-propriétaires de la ville de Québec pour l’aménagement de bassins de rétention à proximité," CIRANO Working Papers 2022s-17, CIRANO.
    43. Richard T. Carson & Theodore Groves & John A. List, 2014. "Consequentiality: A Theoretical and Experimental Exploration of a Single Binary Choice," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(1), pages 171-207.
    44. Paul A. Hindsley & O. Ashton Morgan, 2020. "The Role of Cultural Worldviews in Willingness to Pay for Environmental Policy," Working Papers 20-03, Department of Economics, Appalachian State University.
    45. Vasudha Chopra & Christian A. Vossler, 2024. "Are we doing more harm than good? Hypothetical bias reduction techniques in potentially consequential survey settings," Working Papers 2024-03, University of Tennessee, Department of Economics.
    46. Frondel Manuel & Sommer Stephan, 2017. "Der Wert von Versorgungssicherheit mit Strom: Evidenz für deutsche Haushalte," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 66(3), pages 294-317, December.
    47. Mark A. Andor & Manuel Frondel & Stephan Sommer, 2018. "Equity and the willingness to pay for green electricity in Germany," Nature Energy, Nature, vol. 3(10), pages 876-881, October.
    48. Tensay Hadush Meles & Razack Lokina & Erica Louis Mtenga & Julieth Julius Tibanywana, 2023. "Stated Preferences with Survey Consequentiality and Outcome Uncertainty: A Split Sample Discrete Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(4), pages 717-754, December.
    49. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    50. Shr, Yau-Huo (Jimmy) & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction? Evidence from a Discrete Choice Experiment," ISU General Staff Papers 202101010800001067, Iowa State University, Department of Economics.
    51. Ewa Zawojska & Michał Krawczyk, 2022. "Incentivizing stated preference elicitation with choice-matching in the field," Working Papers 2022-04, Faculty of Economic Sciences, University of Warsaw.
    52. Johnston, Andrew C., 2021. "Preferences, Selection, and the Structure of Teacher Pay," IZA Discussion Papers 14831, Institute of Labor Economics (IZA).
    53. Catherine L. Kling & Daniel J. Phaneuf & Jinhua Zhao, 2012. "From Exxon to BP: Has Some Number Become Better Than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 3-26, Fall.
    54. Lloyd-Smith, Patrick & Adamowicz, Wiktor, 2018. "Can stated measures of willingness-to-accept be valid? Evidence from laboratory experiments," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 133-149.
    55. Li, Xiaogu & Jensen, Kimberly L. & Clark, Christopher D. & Lambert, Dayton M., 2016. "Consumer willingness to pay for beef grown using climate friendly production practices," Food Policy, Elsevier, vol. 64(C), pages 93-106.
    56. Crastes dit Sourd, Romain & Zawojska, Ewa & Mahieu, Pierre-Alexandre & Louviere, Jordan, 2018. "Mitigating strategic misrepresentation of values in open-ended stated preference surveys by using negative reinforcement," Journal of choice modelling, Elsevier, vol. 28(C), pages 153-166.
    57. Christian A. Vossler & Maurice Doyon & Daniel Rondeau, 2012. "Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 145-171, November.
    58. Yohei Mitani & Nicholas Flores, 2014. "Hypothetical Bias Reconsidered: Payment and Provision Uncertainties in a Threshold Provision Mechanism," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 433-454, November.
    59. Drichoutis, Andreas C. & Vassilopoulos, Achilleas & Lusk, Jayson L. & Nayga, Rodolfo M. Jr., 2015. "Reference dependence, consequentiality and social desirability in value elicitation: A study of fair labor labeling," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202705, European Association of Agricultural Economists.
    60. Wei, Xuan & Khachatryan, Hayk, 2023. "How consequential is policy consequentiality? Evidence from online discrete choice experiment with ornamental plants," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    61. Nguyen, Thanh Cong & Le, Hoa Thu & Nguyen, Hang Dieu & Ngo, Mai Thanh & Nguyen, Hong Quang, 2021. "Examining ordering effects and strategic behaviour in a discrete choice experiment," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 394-413.
    62. Andor, Mark Andreas & Lange, Andreas & Sommer, Stephan, 2022. "Fairness and the support of redistributive environmental policies," Ruhr Economic Papers 944, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    63. Carson, Richard T & Groves, Theodore, 2010. "Incentive and Information Properties of Preference Questions," University of California at San Diego, Economics Working Paper Series qt88d8644g, Department of Economics, UC San Diego.
    64. Penn, Jerrod & Hu, Wuyang & Ye, Tao, 2024. "Efficacy of hypothetical bias mitigation techniques: A cross-country comparison," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    65. David A. Comerford & Nick Hanley, 2017. "The External Validity of Consequential Stated Preference Studies: a comment," Discussion Papers in Environment and Development Economics 2017-02, University of St. Andrews, School of Geography and Sustainable Development.
    66. Pengfei Liu & Xiaohui Tian, 2021. "Downward Hypothetical Bias in the Willingness to Accept Measure for Private Goods: Evidence from a Field Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1679-1699, October.
    67. McKenzie Thomas & Kimberly L. Jensen & Dayton M. Lambert & Burton C. English & Christopher D. Clark & Forbes R. Walker, 2021. "Consumer Preferences and Willingness to Pay for Potting Mix with Biochar," Energies, MDPI, vol. 14(12), pages 1-16, June.
    68. Egan, Kevin J. & Corrigan, Jay R. & Dwyer, Daryl F., 2015. "Three reasons to use annual payments in contingent valuation surveys: Convergent validity, discount rates, and mental accounting," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 123-136.
    69. Jinkwon Lee & Uk Hwang, 2016. "Hypothetical Bias in Risk Preferences as a Driver of Hypothetical Bias in Willingness to Pay: Experimental Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 789-811, December.
    70. John A. List & Michael K. Price, 2016. "Editor's Choice The Use of Field Experiments in Environmental and Resource Economics," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 206-225.
    71. Drichoutis, Andreas C. & Vassilopoulos, Achilleas & Lusk, Jayson & Nayga, Rodolfo M., 2015. "Fair farming: Preferences for fair labor certification using four elicitation methods," MPRA Paper 62546, University Library of Munich, Germany.
    72. Glenk, Klaus & Meyerhoff, Jürgen & Akaichi, Faical & Martin-Ortega, Julia, 2019. "Revisiting cost vector effects in discrete choice experiments," Resource and Energy Economics, Elsevier, vol. 57(C), pages 135-155.
    73. Little, Joseph & Broadbent, Craig D. & Berrens, Robert P., 2012. "Meta-Analysis of the Probability of Disparity between Actual and Hypothetical Valuation Responses: Extension and Preliminary New Results," Western Economics Forum, Western Agricultural Economics Association, vol. 11(1), pages 1-12.
    74. Jerrod M. Penn & Wuyang Hu, 2021. "The Extent of Hypothetical Bias in Willingness to Accept," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 126-141, January.
    75. McLeod, Elizabeth & Jensen, Kimberly & Griffith, Andrew & Lewis, Karen, 2017. "Tennessee Beef Producers' Willingness to Participate in a Tennessee Branded Beef Program," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252649, Southern Agricultural Economics Association.
    76. Christian A. Vossler & Ewa Zawojska, 2018. "Toward a better understanding of elicitation effects in stated preference studies," Working Papers 2018-01, University of Tennessee, Department of Economics.
    77. Vossler, Christian A. & Holladay, J. Scott, 2018. "Alternative value elicitation formats in contingent valuation: Mechanism design and convergent validity," Journal of Public Economics, Elsevier, vol. 165(C), pages 133-145.
    78. Andrés Vargas & David Díaz, 2014. "Community-based conservation programs and local people willingness to pay for wildlife protection: The case of the cotton-top tamarin in the Colombian Caribbean," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 81, pages 187-206, Julio - D.
    79. Zawojska, Ewa & Bartczak, Anna & Czajkowski, Mikotaj, 2017. "Disentangling impacts of payment and provision consequentiality and risk attitudes on stated preferences," Annual Meeting, 2017, June 18-21, Montreal, Canada 258602, Canadian Agricultural Economics Society.
    80. Penn, Jerrod & Hu, Wuyang, 2017. "The Presence of Hypothetical Bias within Spatial Decay and Charismatic Species: An Application of Monarch and Viceroy Butterflies," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258204, Agricultural and Applied Economics Association.
    81. William Vásquez & Dina Franceschi, 2013. "System Reliability and Water Service Decentralization: Investigating Household Preferences in Nicaragua," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4913-4926, November.
    82. Shr, Yau-Huo Jimmy & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction Programs: Evidence from a Discrete Choice Experiment," 2021 Annual Meeting, August 1-3, Austin, Texas 313927, Agricultural and Applied Economics Association.
    83. Cai, Beilei & Cameron, Trudy Ann & Gerdes, Geoffrey R., 2011. "Distal order effects in stated preference surveys," Ecological Economics, Elsevier, vol. 70(6), pages 1101-1108, April.
    84. Brent, Daniel A. & Gangadharan, Lata & Leroux, Anke D. & Raschky, Paul A., 2022. "Reducing bias in preference elicitation for environmental public goods," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(02), January.
    85. Tobias Börger & Tenaw G. Abate & Margrethe Aanesen & Ewa Zawojska, 2020. "Payment and policy consequentiality in dichotomous choice contingent valuation: Experimental design effects on self-reported perceptions," Working Papers 2020-05, Faculty of Economic Sciences, University of Warsaw.
    86. Franceschi, Dina & Vásquez, William F., 2011. "Do Supervisors Affect the Valuation of Public Goods?," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-17, August.
    87. Lewis, Karen E. & Grebitus, Carola & Nayga, Rodolfo M., 2016. "U.S. consumers’ preferences for imported and genetically modified sugar: Examining policy consequentiality in a choice experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 1-8.
    88. Christian Vossler & J. Scott Holladay, 2016. "Alternative Value Elicitation Formats in Contingent Valuation: A New Hope," Working Papers 2016-02, University of Tennessee, Department of Economics.
    89. Ren, Yongwang & Lambert, Dayton M. & Clark, Christopher D. & Boyer, Christopher N. & Griffith, Andre P., 2021. "Adoption of Warm Season Grasses by Beef Cattle Producers in the Fescue Belt," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(1), January.
    90. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    91. Malte Oehlmann & Jürgen Meyerhoff, 2017. "Stated preferences towards renewable energy alternatives in Germany – do the consequentiality of the survey and trust in institutions matter?," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 6(1), pages 1-16, January.
    92. Paul R. Hindsley & O. Ashton Morgan, 2022. "The Role of Cultural Worldviews in Willingness to Pay for Environmental Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(2), pages 243-269, February.
    93. Moritz A. Drupp & Zachary M. Turk & Ben Groom & Jonas Heckenhahn, 2024. "Limited Substitutability, Relative Price Changes and the Uplifting of Public Natural Capital Values," CESifo Working Paper Series 11156, CESifo.
    94. Van Houtven, George & Mansfield, Carol & Phaneuf, Daniel J. & von Haefen, Roger & Milstead, Bryan & Kenney, Melissa A. & Reckhow, Kenneth H., 2014. "Combining expert elicitation and stated preference methods to value ecosystem services from improved lake water quality," Ecological Economics, Elsevier, vol. 99(C), pages 40-52.
    95. Dardanoni, Valentino & Guerriero, Carla, 2021. "Young people' s willingness to pay for environmental protection," Ecological Economics, Elsevier, vol. 179(C).
    96. Khachatryan, Hayk & Rihn, Alicia & Wei, Xuan, 2021. "Consumers’ Preferences for Eco-labels on Plants: The Influence of Trust and Consequentiality Perceptions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 91(C).
    97. Maria Cunha-e-Sá & Lívia Madureira & Luis Nunes & Vladimir Otrachshenko, 2012. "Protesting and Justifying: A Latent Class Model for Contingent Valuation with Attitudinal Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(4), pages 531-548, August.
    98. Penn, Jerrod & Hu, Wuyang, 2019. "Cheap talk efficacy under potential and actual Hypothetical Bias: A meta-analysis," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 22-35.
    99. Penn, Jerrod & Hu, Wuyang & Ye, Tao, 2018. "Cheap Talk, Consequentiality, and Certainty Follow-up as Hypothetical Bias Mitigation Techniques: A Cross Country Comparison," 2018 Annual Meeting, August 5-7, Washington, D.C. 274018, Agricultural and Applied Economics Association.

  4. Herriges, Joseph A. & Phaneuf, Daniel J. & Tobias, Justin, 2008. "Estimating Demand Systems when Outcomes Are Correlated Count," Staff General Research Papers Archive 12934, Iowa State University, Department of Economics.

    Cited by:

    1. Carson, Richard T. & Eagle, Thomas C. & Islam, Towhidul & Louviere, Jordan J., 2022. "Volumetric choice experiments (VCEs)," Journal of choice modelling, Elsevier, vol. 42(C).
    2. Chandra R. Bhat & Rajesh Paleti & Palvinder Singh, 2014. "A Spatial Multivariate Count Model For Firm Location Decisions," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 462-502, June.
    3. Smith, Michael S. & Kauermann, Göran, 2011. "Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1846-1862.
    4. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.
    5. Xie, Lusi & Adamowicz, Wiktor & Lloyd-Smith, Patrick, 2023. "Spatial and temporal responses to incentives: An application to wildlife disease management," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    6. Bhattacharjee, Subhra & Kling, Catherine L. & Herriges, Joseph A., 2009. "Kuhn-Tucker Estimation of Recreation Demand – A Study of Temporal Stability," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49408, Agricultural and Applied Economics Association.
    7. Nobel, Anne & Lizin, Sebastien & Witters, Nele & Rineau, Francois & Malina, Robert, 2020. "The impact of wildfires on the recreational value of heathland: A discrete factor approach with adjustment for on-site sampling," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).

  5. Li, Mingliang & Tobias, Justin, 2008. "Bayesian Analysis of Treatment Effects in an Ordered Potential Outcomes Model," Staff General Research Papers Archive 12429, Iowa State University, Department of Economics.

    Cited by:

    1. Stefan Boes, 2007. "Nonparametric Analysis of Treatment Effects in Ordered Response Models," SOI - Working Papers 0709, Socioeconomic Institute - University of Zurich.
    2. Munkin, Murat K. & Trivedi, Pravin K., 2008. "Bayesian analysis of the ordered probit model with endogenous selection," Journal of Econometrics, Elsevier, vol. 143(2), pages 334-348, April.
    3. Andinet Woldemichael & Daniel Gurara & Abebe Shimeles, 2019. "The Impact of Community Based Health Insurance Schemes on Out-of-Pocket Healthcare Spending: Evidence from Rwanda," IMF Working Papers 2019/038, International Monetary Fund.
    4. Andrés Ramírez–Hassan & Rosember Guerra–Urzola, 2021. "Bayesian treatment effects due to a subsidized health program: the case of preventive health care utilization in Medellín (Colombia)," Empirical Economics, Springer, vol. 60(3), pages 1477-1506, March.
    5. Woldemichael, Andinet & Gurara, Daniel Zerfu & Shimeles, Abebe, 2016. "Community-Based Health Insurance and Out-of-Pocket Healthcare Spending in Africa: Evidence from Rwanda," IZA Discussion Papers 9922, Institute of Labor Economics (IZA).
    6. Shimeles Abebe & Andinet Woldemichael, 2015. "Working Paper 225 - Measuring the Impact of Micro-Health Insurance on Healthcare Utilization: A Bayesian Potential Outcomes Approach," Working Paper Series 2166, African Development Bank.
    7. Steven T. Yen & Donald J. Bruce & Lisa Jahns, 2012. "Supplemental Nutrition Assistance Program Participation And Health: Evidence From Low‐Income Individuals In Tennessee," Contemporary Economic Policy, Western Economic Association International, vol. 30(1), pages 1-12, January.
    8. Li, Mingliang & Mumford, Kevin J. & Tobias, Justin L., 2012. "A Bayesian analysis of payday loans and their regulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 205-216.

  6. Ranjan, Priya & Tobias, Justin, 2007. "Bayesian Inference in the Gravity Model," Staff General Research Papers Archive 12721, Iowa State University, Department of Economics.

    Cited by:

    1. Chengyan Yue & John C. Beghin, 2009. "Tariff Equivalent and Forgone Trade Effects of Prohibitive Technical Barriers to Trade," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 930-941.
    2. Eaton, Derek J.F., 2009. "Trade and Intellectual Property Rights in the Agricultural Seed Sector," 2009 Conference, August 16-22, 2009, Beijing, China 51782, International Association of Agricultural Economists.
    3. Wilfried Koch & James P. LeSage, 2015. "Latent Multilateral Trade Resistance Indices: Theory and Evidence," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(3), pages 264-290, July.
    4. Daniel J. Henderson & Daniel L. Millimet, 2008. "Is gravity linear?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 137-172.
    5. Grégory Corcos & Delphine Irac & Giordano Mion & Thierry Verdier, 2013. "The Determinants of Intrafirm Trade: Evidence from French Firms," PSE-Ecole d'économie de Paris (Postprint) halshs-00879809, HAL.
    6. Peter H. Egger, Maximilian v. Ehrlich, Douglas R. Nelson, 2020. "The trade effects of skilled versus unskilled migration," Diskussionsschriften credresearchpaper31, Universitaet Bern, Departement Volkswirtschaft - CRED.
    7. Peter Congdon, 2010. "Random‐effects models for migration attractivity and retentivity: a Bayesian methodology," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(4), pages 755-774, October.
    8. James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
    9. Verdier, Thierry & Mion, Giordano & Irac, Delphine & Corcos, Gregory, 2009. "The Determinants of Intra-Firm Trade," CEPR Discussion Papers 7530, C.E.P.R. Discussion Papers.
    10. Oxana Babecká Kucharčuková & Jan Babecký & Martin Raiser, 2012. "Gravity Approach for Modelling International Trade in South-Eastern Europe and the Commonwealth of Independent States: The Role of Geography, Policy and Institutions," Open Economies Review, Springer, vol. 23(2), pages 277-301, April.
    11. Xiong, Bo & Chen, Sixia, 2012. "Estimating Gravity Equation Models in the Presence of Sample Selection and Heteroskedasticity," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124530, Agricultural and Applied Economics Association.
    12. Manfred M. Fischer & James P. LeSage, 2020. "Network dependence in multi-indexed data on international trade flows," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-26, December.
    13. He, Mingyi & Bogomolov, Yuri & Khulbe, Devashish & Sobolevsky, Stanislav, 2023. "Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model," Journal of Transport Geography, Elsevier, vol. 113(C).
    14. Hu, Yushan & Zhang, Penglong, 2021. "Semiparametric estimation of varying trade elasticities in gravity," Economics Letters, Elsevier, vol. 209(C).
    15. Ronaldo Carpio & Meixin Guo, 2021. "Bayesian estimation of the Eurozone currency union effect," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 511-532, August.
    16. Elisa Panzera & Thomas de Graaff & Henri L.F. de Groot, 2021. "European cultural heritage and tourism flows: The magnetic role of superstar World Heritage Sites," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 101-122, February.

  7. Koop, Gary M & Poirier, Dale J & Tobias, Justin, 2007. "Bayesian Econometric Methods," Staff General Research Papers Archive 12722, Iowa State University, Department of Economics.

    Cited by:

    1. Olivier Parent & James P. Lesage, 2010. "A Spatial Dynamic Panel Model with Random Effects Applied to Commuting Times," University of Cincinnati, Economics Working Papers Series 2010-01, University of Cincinnati, Department of Economics.
    2. Ahtiainen, Heini & Vanhatalo, Jarno, 2012. "The value of reducing eutrophication in European marine areas — A Bayesian meta-analysis," Ecological Economics, Elsevier, vol. 83(C), pages 1-10.
    3. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
    4. Abidoye, Babatunde O. & Herriges, Joseph A. & Tobias, Justin L., 2010. "Controlling for observed and unobserved site characteristics in RUM models of recreation demand," ISU General Staff Papers 201005250700001115, Iowa State University, Department of Economics.
    5. Danaf, Mazen & Guevara, C. Angelo & Ben-Akiva, Moshe, 2023. "A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems," Journal of choice modelling, Elsevier, vol. 46(C).
    6. Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
    7. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
    8. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    9. Niu, Linlin & Xu, Xiu & Chen, Ying, 2015. "An adaptive approach to forecasting three key macroeconomic variables for transitional China," BOFIT Discussion Papers 12/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    10. Ishdorj, Ariun & Jensen, Helen H., 2010. "Demand For Breakfast Cereals: Whole Grains Guidance And Food Choice," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116445, European Association of Agricultural Economists.
    11. Danilo Leiva-Leon & Luis Uzeda, 2020. "Endogenous Time Variation in Vector Autoregressions," Staff Working Papers 20-16, Bank of Canada.
    12. Richard S. J. Tol & In Chang Hwang & Frédéric Reynès, 2012. "The Effect of Learning on Climate Policy under Fat-tailed Uncertainty," Working Paper Series 5312, Department of Economics, University of Sussex Business School.
    13. Herriges, Joseph A. & Phaneuf, Daniel J. & Tobias, Justin, 2008. "Estimating Demand Systems when Outcomes Are Correlated Count," Staff General Research Papers Archive 12934, Iowa State University, Department of Economics.
    14. Joshua C. C. Chan & Xuewen Yu, 2022. "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Papers 2206.08438, arXiv.org.
    15. Xiaodong Du & David A. Hennessy & Cindy L. Yu, 2012. "Testing Day's Conjecture that More Nitrogen Decreases Crop Yield Skewness," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 225-237.
    16. Roman Horváth, 2012. "Does Trust Promote Growth?," Working Papers 319, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    17. Abidoye, Babatunde O. & Marlene, Labuschagne, 2012. "The Transmission of World Maize Price to South African Maize Market: A Threshold Cointegration Approach," Working Papers 206515, University of Pretoria, Department of Agricultural Economics, Extension and Rural Development.
    18. Jed Cohen, Klaus Moeltner, Johannes Reichl and Michael Schmidthaler, 2016. "An Empirical Analysis of Local Opposition to New Transmission Lines Across the EU-27," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    19. Iftekhar Hasan & Roman Horvath & Jan Mares, 2018. "Finance and Wealth Inequality," Working Papers IES 2018/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    20. Eaton, Derek J.F., 2009. "Trade and Intellectual Property Rights in the Agricultural Seed Sector," 2009 Conference, August 16-22, 2009, Beijing, China 51782, International Association of Agricultural Economists.
    21. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    22. Colson, Gregory J. & Huffman, Wallace E. & Rousu, Matthew C., 2011. "Improving the Nutrient Content of Food through Genetic Modification: Evidence from Experimental Auctions on Consumer Acceptance," ISU General Staff Papers 201108010700001371, Iowa State University, Department of Economics.
    23. Chih-Sheng Hsieh & Michael D. König & Xiaodong Liu & Christian Zimmermann, 2020. "Collaboration in Bipartite Networks, with an Application to Coauthorship Networks," Working Papers 2020-030, Federal Reserve Bank of St. Louis.
    24. Knut Are Aastveit & Gisle James Natvik & Sergio Sola, 2013. "Economic uncertainty and the effectiveness of monetary policy," Working Paper 2013/17, Norges Bank.
    25. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    26. Katharina Hauck & Xiaohui Zhang, 2016. "Heterogeneity in the Effect of Common Shocks on Healthcare Expenditure Growth," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1090-1103, September.
    27. Joshua Chan & Eric Eisenstat & Xuewen Yu, 2022. "Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis," Papers 2207.03988, arXiv.org.
    28. Moukam, Claudiane Yanick & Atewamba, Calvin, 2023. "Incorporating expert knowledge in the estimate of farmers’ opportunity cost of supplying environmental services in rural Cameroon," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 12(3), October.
    29. Horvath, Roman, 2011. "Research & development and growth: A Bayesian model averaging analysis," Economic Modelling, Elsevier, vol. 28(6), pages 2669-2673.
    30. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
    31. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    32. Nikolaus Hautsch & Fuyu Yang, 2014. "Bayesian Stochastic Search for the Best Predictors: Nowcasting GDP Growth," University of East Anglia Applied and Financial Economics Working Paper Series 056, School of Economics, University of East Anglia, Norwich, UK..
    33. Haider, Adnan & Jan, Asad & Hyder, Kalim, 2012. "On the (IR) Relevance of Monetary Aggregate Targeting in Pakistan: An Eclectic View," MPRA Paper 43422, University Library of Munich, Germany.
    34. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    35. Angelia L. Grant & Joshua C.C. Chan, 2017. "A Bayesian Model Comparison for Trend‐Cycle Decompositions of Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 525-552, March.
    36. Mountford, Andrew, 2022. "Economic Growth Analysis When Balanced Growth Paths May Be Time Varying," MPRA Paper 114249, University Library of Munich, Germany.
    37. Abidoye, Babatunde Oluwakayode, 2010. "Bayesian inference in modeling recreation demand," ISU General Staff Papers 201001010800002496, Iowa State University, Department of Economics.
    38. Herriges, Joseph & Kling, Catherine L. & Liu, Chih-Chen & Tobias, Justin, 2010. "What are the consequences of consequentiality?," ISU General Staff Papers 201001010800001561, Iowa State University, Department of Economics.
    39. Hong Wang & Catherine S. Forbes & Jean-Pierre Fenech & John Vaz, 2018. "The determinants of bank loan recovery rates in good times and bad - new evidence," Papers 1804.07022, arXiv.org.
    40. S. Standaert, 2013. "Divining the Level of Corruption. A Bayesian State-Space Approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/835, Ghent University, Faculty of Economics and Business Administration.
    41. Mohammad Arshad Rahman & Angela Vossmeyer, 2019. "Estimation and Applications of Quantile Regression for Binary Longitudinal Data," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B, volume 40, pages 157-191, Emerald Group Publishing Limited.
    42. Chih-Sheng Hsieh & Michael D König & Xiaodong Liu & Christian Zimmermann, 2022. "Collaboration in Bipartite Networks," Working Papers 2202, National Taiwan University, Department of Economics, revised Feb 2022.
    43. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    44. Daeseok Han & Jin-Hyuk Lee & Ki-Tae Park, 2022. "Deterioration Models for Bridge Pavement Materials for a Life Cycle Cost Analysis," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    45. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
    46. Moeltner, Klaus & Blinn, Christine E. & Holmes, Thomas P., 2017. "Forest pests and home values: The importance of accuracy in damage assessment and geocoding of properties," Journal of Forest Economics, Elsevier, vol. 26(C), pages 46-55.
    47. Dahem, Ahlem, 2015. "Short term Bayesian inflation forecasting for Tunisia," MPRA Paper 66702, University Library of Munich, Germany.
    48. Chih-Sheng Hsieh & Michael D. König & Xiaodong Liu & Christian Zimmermann, 2018. "Superstar Economists: Coauthorship networks and research output," Working Papers 2018-28, Federal Reserve Bank of St. Louis.
    49. Agbeyegbe, Terence D., 2020. "Bayesian analysis of output gap in Barbados," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    50. Joshua C.C. Chan & Rodney W. Strachan, 2023. "Bayesian State Space Models In Macroeconometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
    51. Maeng, Kyuho & Jeon, Seung Ryong & Park, Taeho & Cho, Youngsang, 2021. "Network effects of connected and autonomous vehicles in South Korea: A consumer preference approach," Research in Transportation Economics, Elsevier, vol. 90(C).
    52. Baştürk, N. & Grassi, S. & Hoogerheide, L. & Opschoor, A. & van Dijk, H.K., 2015. "The R package MitISEM : efficient and robust simulation procedures for Bayesian inference," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
    53. Maria Chiara D'Errico & Carlo Andrea Bollino, 2015. "Bayesian Analysis of Demand Elasticity in the Italian Electricity Market," Sustainability, MDPI, vol. 7(9), pages 1-22, September.
    54. Milas, Costas & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2024. "UK Foreign Direct Investment in uncertain economic times," Journal of International Money and Finance, Elsevier, vol. 147(C).
    55. Thaden, Hauke & Klein, Nadja & Kneib, Thomas, 2019. "Multivariate effect priors in bivariate semiparametric recursive Gaussian models," Computational Statistics & Data Analysis, Elsevier, vol. 137(C), pages 51-66.
    56. Francesco Furlanetto & Francesco Ravazzolo & Samad Sarferaz, 2014. "Identification of financial factors in economic fluctuations," KOF Working papers 14-364, KOF Swiss Economic Institute, ETH Zurich.
    57. Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
    58. Maksym, Obrizan, 2010. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable," MPRA Paper 28577, University Library of Munich, Germany.
    59. Nurmakhanova, Mira, 2008. "Essays on fall fertilizer application," ISU General Staff Papers 2008010108000016739, Iowa State University, Department of Economics.
    60. Klaus Moeltner & James J. Murphy & John K. Stranlund & Maria Alejandra Velez, 2012. "Institutional Heterogeneity in Social Dilemma Games: A Bayesian Examination," Working Papers 2012-04, University of Alaska Anchorage, Department of Economics.
    61. 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.
    62. Odusola, Ayodele & Abidoye, Babatunde, 2015. "Effects of Temperature and Rainfall Shocks on Economic Growth in Africa," UNDP Africa Research Discussion Papers 267028, United Nations Development Programme (UNDP).
    63. Ishdorj, Ariun, 2008. "Essays on food assistance program participation and demand for food," ISU General Staff Papers 2008010108000016750, Iowa State University, Department of Economics.
    64. Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020. "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 645-652, August.
    65. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    66. Chih-Sheng Hsieh & Michael D. König & Xiaodong Liu, 2012. "Network formation with local complements and global substitutes: the case of R&D networks," ECON - Working Papers 217, Department of Economics - University of Zurich, revised Feb 2017.
    67. Habtamu Kiros & Alebachew Abebe, 2020. "Statistical Modeling of Women Employment Status at Harari Region Urban Districts: Bayesian Approach," Annals of Data Science, Springer, vol. 7(1), pages 63-76, March.
    68. Brendan Kline & Justin L. Tobias, 2008. "The wages of BMI: Bayesian analysis of a skewed treatment-response model with nonparametric endogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 767-793.
    69. Mario Cerrato & John Crosby & Muhammad Kaleem, 2011. "Measuring the economic significance of structural exchange rate models," Working Papers 2011_17, Business School - Economics, University of Glasgow.
    70. Gary J. Cornwall & Jeffrey A. Mills & Beau A. Sauley & Huibin Weng, 2019. "Predictive Testing for Granger Causality via Posterior Simulation and Cross-validation," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A, volume 40, pages 275-292, Emerald Group Publishing Limited.
    71. Roman Horváth & Kateøina Šmídková & Jan Zápal & Marek Rusnák, 2012. "Dissent Voting Behavior of Central Bankers: What Do We Really Know?," Working Papers IES 2012/05, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2012.
    72. Shinya Sugawara & Yasuhiro Omori, 2012. "An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection Problems," CIRJE F-Series CIRJE-F-849, CIRJE, Faculty of Economics, University of Tokyo.
    73. Jerzy Marzec & Andrzej Pisulewski, 2020. "Pomiar efektywności zróżnicowanych technologicznie gospodarstw rolnych w Unii Europejskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 111-137.
    74. Florian Huber & Gary Koop, 2023. "Subspace shrinkage in conjugate Bayesian vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 556-576, June.
    75. Abidoye, Babatunde O & Mabaya, Edward, 2014. "Adoption of genetically modified crops in South Africa: Effects on wholesale maize prices," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 53(1), February.
    76. Dangl, Thomas & Halling, Michael, 2012. "Predictive regressions with time-varying coefficients," Journal of Financial Economics, Elsevier, vol. 106(1), pages 157-181.
    77. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2022. "Robust Dynamic Space-Time Panel Data Models Using ε-contamination: An Application to Crop Yields and Climate Change," Center for Policy Research Working Papers 254, Center for Policy Research, Maxwell School, Syracuse University.
    78. Christopher Moore & Daniel Phaneuf & Walter Thurman, 2011. "A Bayesian Bioeconometric Model of Invasive Species Control: The Case of the Hemlock Woolly Adelgid," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 1-26, September.
    79. Blazejowski, Marcin & Kwiatkowski, Jacek, 2020. "Bayesian Model Averaging for Autoregressive Distributed Lag (BMA_ADL) in gretl," MPRA Paper 98387, University Library of Munich, Germany.
    80. Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019. "An automated prior robustness analysis in Bayesian model comparison," CAMA Working Papers 2019-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    81. Li, Phillip, 2011. "Estimation of sample selection models with two selection mechanisms," Computational Statistics & Data Analysis, Elsevier, vol. 55(2), pages 1099-1108, February.
    82. Koirala, Niraj P. & Nyiwul, Linus, 2023. "Inflation volatility: A Bayesian approach," Research in Economics, Elsevier, vol. 77(1), pages 185-201.
    83. Liu, De-Chih & Chang, Yu-Chien, 2022. "Systematic variations in exchange rate returns," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 569-583.
    84. Babatunde O Abidoye & Edward Mabaya, 2014. "Adoption of genetically modified crops in South Africa: Effects on wholesale maize prices," Agrekon, Taylor & Francis Journals, vol. 53(1), pages 104-123, March.
    85. Joshua C.C. Chan & Angelia L. Grant, 2014. "Fast Computation of the Deviance Information Criterion for Latent Variable Models," CAMA Working Papers 2014-09, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    86. Xiong, Yingge & Mannering, Fred L., 2013. "The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach," Transportation Research Part B: Methodological, Elsevier, vol. 49(C), pages 39-54.
    87. Nikhil Patel, 2016. "International Trade Finance and the Cost Channel of Monetary Policy in Open Economies," BIS Working Papers 539, Bank for International Settlements.
    88. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
    89. Huber, Florian & Onorante, Luca & Pfarrhofer, Michael, 2024. "Forecasting euro area inflation using a huge panel of survey expectations," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1042-1054.
    90. Colson, Gregory & Rousu, Matthew C. & Huffman, Wallace E., 2008. "Consumers' Willingness to Pay for New Genetically Modified Food Products: Evidence from Experimental Auctions of Intragenic and Transgenic Foods," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6407, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    91. Obryan Poyser, 2017. "Exploring the determinants of Bitcoin's price: an application of Bayesian Structural Time Series," Papers 1706.01437, arXiv.org.
    92. C. Glocker & G. Sestieri & P. Towbin, 2017. "Time-varying fiscal spending multipliers in the UK," Working papers 643, Banque de France.
    93. Mengheng Li & Marcel Scharth, 2022. "Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 285-301, January.
    94. Daeseok Han, 2021. "Heterogeneous Deterioration Process and Risk of Deficiencies of Aging Bridges for Transportation Asset Management," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    95. Bernardi Mauro & Della Corte Giuseppe & Proietti Tommaso, 2011. "Extracting the Cyclical Component in Hours Worked," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-28, May.
    96. Caio Waisman & Harikesh S. Nair & Carlos Carrion, 2019. "Online Causal Inference for Advertising in Real-Time Bidding Auctions," Papers 1908.08600, arXiv.org, revised Feb 2024.
    97. Helmut Herwartz & Christian Ochsner & Hannes Rohloff, 2021. "The Credit Composition of Global Liquidity," MAGKS Papers on Economics 202115, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    98. Joshua C C Chan & Cody Y L Hsiao, 2013. "Estimation of Stochastic Volatility Models with Heavy Tails and Serial Dependence," CAMA Working Papers 2013-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    99. 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.
    100. Christopher N. Boyer & Dayton M. Lambert & Charles C. Martinez & Joshua G. Maples, 2023. "Beef and pork processing plant labor costs," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 691-702, July.
    101. Rob Luginbuhl, 2020. "Estimation of the Financial Cycle with a Rank-Reduced Multivariate State-Space Model," CPB Discussion Paper 409, CPB Netherlands Bureau for Economic Policy Analysis.
    102. Parley Ruogu Yang, 2021. "Forecasting high-frequency financial time series: an adaptive learning approach with the order book data," Papers 2103.00264, arXiv.org.
    103. Dogan, Osman & Taspinar, Suleyman, 2016. "Bayesian Inference in Spatial Sample Selection Models," MPRA Paper 82829, University Library of Munich, Germany.
    104. Du, Xiaodong & Carriquiry, Miguel A., 2013. "Spatiotemporal analysis of ethanol market penetration," Energy Economics, Elsevier, vol. 38(C), pages 128-135.
    105. Ahn, Hie Joo, 2023. "Duration structure of unemployment hazards and the trend unemployment rate," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    106. Peter Lenk, 2014. "Bayesian estimation of random utility models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 20, pages 457-497, Edward Elgar Publishing.
    107. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    108. Ahlem DAHEM, 2016. "Short-Term Bayesian Inflation Forecasting For Tunisia: Some Empirical Evidence," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(1), pages 1-47, January.
    109. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    110. Saqib Amin & Ruhamah Yousaf & Muhammad Awais Anwar & Noman Arshed, 2022. "Assessing the impact of diversity and ageing population on health expenditure of United States," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(2), pages 913-929, March.
    111. Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
    112. Jiaying Deng & Hossein Ghasemkhani & Yong Tan & Arvind K Tripathi, 2023. "Actions speak louder than words: Imputing users’ reputation from transaction history," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1096-1111, April.
    113. Eicher, Theo S. & Helfman, Lindy & Lenkoski, Alex, 2012. "Robust FDI determinants: Bayesian Model Averaging in the presence of selection bias," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 637-651.
    114. Adriana Nikolic & Christoph Weiss, 2014. "Spatial interactions in location decisions: Empirical evidence from a Bayesian spatial probit model," Department of Economics Working Papers wuwp177, Vienna University of Economics and Business, Department of Economics.
    115. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
    116. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2018. "Regional Output Growth in the United Kingdom: More Timely and Higher Frequency Estimates, 1970-2017," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-14, Economic Statistics Centre of Excellence (ESCoE).
    117. Mihaela Simionescu (Bratu), 2014. "The Bayesian Modelling Of Inflation Rate In Romania," Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 147-160, June.
    118. David, Bounie & Abel, François & Patrick, Waelbroeck, 2016. "Debit card and demand for cash," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 55-66.
    119. Bin Jiang & Anastasios Panagiotelis & George Athanasopoulos & Rob Hyndman & Farshid Vahid, 2016. "Bayesian Rank Selection in Multivariate Regression," Monash Econometrics and Business Statistics Working Papers 6/16, Monash University, Department of Econometrics and Business Statistics.
    120. Xiaodong Du & Fengxia Dong, 2016. "Responses to market information and the impact on price volatility and trading volume: the case of Class III milk futures," Empirical Economics, Springer, vol. 50(2), pages 661-678, March.
    121. Joshua C.C. Chan, 2015. "Specification tests for time-varying parameter models with stochastic volatility," CAMA Working Papers 2015-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    122. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    123. Park, Yuri & Koo, Yoonmo, 2016. "An empirical analysis of switching cost in the smartphone market in South Korea," Telecommunications Policy, Elsevier, vol. 40(4), pages 307-318.
    124. Coulibaly, Issiaka & Gnimassoun, Blaise, 2013. "Optimality of a monetary union: New evidence from exchange rate misalignments in West Africa," Economic Modelling, Elsevier, vol. 32(C), pages 463-482.
    125. Damien, Paul & Fuentes-García, Ruth & Mena, Ramsés H. & Zarnikau, Jay, 2019. "Impacts of day-ahead versus real-time market prices on wholesale electricity demand in Texas," Energy Economics, Elsevier, vol. 81(C), pages 259-272.
    126. Marcin Błażejowski & Jacek Kwiatkowski & Paweł Kufel, 2020. "BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl," Econometrics, MDPI, vol. 8(2), pages 1-29, May.
    127. Qian, Hang, 2010. "Linear regression using both temporally aggregated and temporally disaggregated data: Revisited," MPRA Paper 32686, University Library of Munich, Germany.
    128. Colson, Gregory, 2009. "Improving nutrient content through genetic modification: Evidence from experimental auctions on consumer acceptance and willingness to pay for intragenic foods," ISU General Staff Papers 200901010800001872, Iowa State University, Department of Economics.
    129. Obryan Poyser, 2019. "Exploring the dynamics of Bitcoin’s price: a Bayesian structural time series approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 29-60, March.
    130. Altman, Edward I. & Kalotay, Egon A., 2014. "Ultimate recovery mixtures," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 116-129.
    131. Ronaldo Carpio & Meixin Guo, 2021. "Bayesian estimation of the Eurozone currency union effect," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 511-532, August.
    132. Shinya Sugawara & Yasuhiro Omori, 2013. "An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection," CIRJE F-Series CIRJE-F-882, CIRJE, Faculty of Economics, University of Tokyo.
    133. Nataliia Ostapenko, 2022. "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers WP 4/2022, Research Department, National Bank of Slovakia.
    134. Hakobyana, Zaruhi & Koulovatianos, Christos, 2019. "Populism and polarization in social media without fake news: The vicious circle of biases, beliefs and network homophily," CFS Working Paper Series 626, Center for Financial Studies (CFS).
    135. James R. Bland, 2019. "Measuring and Comparing Two Kinds of Rationalizable Opportunity Cost in Mixture Models," Games, MDPI, vol. 11(1), pages 1-27, December.
    136. Moisés Carrasco Garcés & Felipe Vasquez-Lavin & Roberto D. Ponce Oliva & José Luis Bustamante Oporto & Manuel Barrientos & Arcadio A. Cerda, 2021. "Embedding effect and the consequences of advanced disclosure: evidence from the valuation of cultural goods," Empirical Economics, Springer, vol. 61(2), pages 1039-1062, August.
    137. Metin Çakır, 2022. "Retail pass‐through of package downsizing," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 259-278, April.
    138. Yi-Chun (Chad) Ho & Junjie Wu & Yong Tan, 2017. "Disconfirmation Effect on Online Rating Behavior: A Structural Model," Information Systems Research, INFORMS, vol. 28(3), pages 626-642, September.
    139. Kim, Namhoon & Mountain, Travis P., 2018. "Do we consider paid sick leave when deciding to get vaccinated?," Social Science & Medicine, Elsevier, vol. 198(C), pages 1-6.

  8. Ishdorj, Ariun & Jensen, Helen H. & Tobias, Justin, 2007. "Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach," Staff General Research Papers Archive 12833, Iowa State University, Department of Economics.

    Cited by:

    1. Ariun Ishdorj & Mary Kay Crepinsek & Helen H. Jensen, 2013. "Children's Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choices at School and Away from School?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(2), pages 341-359.
    2. Ishdorj, Ariun & Crepinsek, Mary Kay & Jensen, Helen H., 2012. "Children’s Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choice in School Meals?," 2012 AAEA/EAAE Food Environment Symposium 123534, Agricultural and Applied Economics Association.
    3. Miyoung Oh & Helen H. Jensen & Ilya Rahkovsky, 2016. "Did Revisions to the WIC Program Affect Household Expenditures on Whole Grains?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(4), pages 578-598.
    4. Christina Robinson, 2013. "Younger Siblings Can Be Good for Your Health: An Examination of Spillover Benefits from the Supplemental Nutrition Program for Women, Infants, and Children (WIC)," Journal of Family and Economic Issues, Springer, vol. 34(2), pages 172-184, June.

  9. Tobias, Justin, 2006. "Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model," Staff General Research Papers Archive 12480, Iowa State University, Department of Economics.

    Cited by:

    1. Djebbari, Habiba & Smith, Jeffrey, 2008. "Heterogeneous impacts in PROGRESA," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 64-80, July.

  10. Li, Mingliang & Tobias, Justin, 2006. "Calculus Attainment and Grades Received in Intermediate Economic Theory," Staff General Research Papers Archive 12292, Iowa State University, Department of Economics.

    Cited by:

    1. Surendran Padmaja, Subash & KHED, VIJAYALAXMI Dundappa & Krishna, Vijesh V., 2021. "What Would Others Say? Exploring the Gendered and Caste-based Social Norms in Central India through Vignettes," 2021 Annual Meeting, August 1-3, Austin, Texas 314028, Agricultural and Applied Economics Association.
    2. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. William Greene, 2007. "Discrete Choice Modeling," Working Papers 07-6, New York University, Leonard N. Stern School of Business, Department of Economics.

  11. Dale, Poirier J & Tobias, Justin, 2006. "Bayesian Econometrics," Staff General Research Papers Archive 12428, Iowa State University, Department of Economics.

    Cited by:

    1. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
    2. Juan M.C. Larrosa, 2005. "Compositional Time Series: Past and Present," Econometrics 0510002, University Library of Munich, Germany.

  12. Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.

    Cited by:

    1. Dorfman, Jeffrey H. & Karali, Berna, 2008. "Do Farmers Hedge Optimally or by Habit? A Bayesian Partial-Adjustment Model of Farmer Hedging," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37596, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    2. Karali, Berna & Dorfman, Jeffrey H. & Thurman, Walter N., 2008. "Do Inventory and Time-to-Delivery Effects Vary Across Futures Contracts? Insights from a Smoothed Bayesian Estimator," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6084, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Dorfman, Jeffrey H. & Patridge, Mark D. & Galloway, Hamilton, 2008. "Are High-Tech Employment and Natural Amenities Linked?: Answers from a Smoothed Bayesian Spatial Model," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6459, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Suzanna-Maria Paleologou, 2016. "The long-run tendency of government expenditure: a semi-parametric modelling approach," Empirical Economics, Springer, vol. 50(3), pages 753-776, May.
    5. Agee, Mark D. & Atkinson, Scott E. & Crocker, Thomas D. & Williams, Jonathan W., 2014. "Non-separable pollution control: Implications for a CO2 emissions cap and trade system," Resource and Energy Economics, Elsevier, vol. 36(1), pages 64-82.
    6. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    7. Scott E. Atkinson & Jeffrey H. Dorfman, 2009. "Feasible estimation of firm-specific allocative inefficiency through Bayesian numerical methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 675-697.
    8. Huang, Ho-Chuan (River) & Lin, Shu-Chin, 2008. "Smooth-time-varying Okun's coefficients," Economic Modelling, Elsevier, vol. 25(2), pages 363-375, March.
    9. Murat K. Munkin, 2022. "Count Roy model with finite mixtures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1160-1181, September.
    10. Myeong Jun Kim & Stanley I. M. Ko & Sung Y. Park, 2021. "On time and frequency-varying Okun’s coefficient: a new approach based on ensemble empirical mode decomposition," Empirical Economics, Springer, vol. 61(3), pages 1151-1188, September.
    11. Luca Brugnolini & Giuseppe Ragusa, 2022. "Euro Area Deflationary Pressure Index," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 883-900, October.
    12. Bacolod, Marigee P. & Tobias, Justin L., 2006. "Schools, school quality and achievement growth: Evidence from the Philippines," Economics of Education Review, Elsevier, vol. 25(6), pages 619-632, December.
    13. Amin Mugera & Michael Langemeier & Allen Featherstone, 2012. "Labor productivity convergence in the Kansas farm sector: a three-stage procedure using data envelopment analysis and semiparametric regression analysis," Journal of Productivity Analysis, Springer, vol. 38(1), pages 63-79, August.
    14. Zheng, Xiaoyong, 2008. "Semiparametric Bayesian estimation of mixed count regression models," Economics Letters, Elsevier, vol. 100(3), pages 435-438, September.

  13. Li, Mingliang & Tobias, Justin, 2005. "Bayesian Analysis of Structural Effects in an Ordered Equation System," Staff General Research Papers Archive 12247, Iowa State University, Department of Economics.

    Cited by:

    1. Mingliang Li & Justin L. Tobias, 2006. "Calculus attainment and grades received in intermediate economic theory," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 893-896, September.
    2. Anastasios Panagiotelis & Michael S. Smith & Peter J. Danaher, 2014. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence, and Visit Behavior," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 14-29, January.
    3. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.
    4. Zhang, Xiaohui & Zhao, Xueyan & Harris, Anthony, 2009. "Chronic diseases and labour force participation in Australia," Journal of Health Economics, Elsevier, vol. 28(1), pages 91-108, January.
    5. Xiong, Yingge & Tobias, Justin L. & Mannering, Fred L., 2014. "The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 109-128.
    6. Rong Zhang & Brett A. Inder & Xibin Zhang, 2012. "Parameter estimation for a discrete-response model with double rules of sample selection: A Bayesian approach," Monash Econometrics and Business Statistics Working Papers 5/12, Monash University, Department of Econometrics and Business Statistics.
    7. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.
    8. Zhang, Rong & Inder, Brett A. & Zhang, Xibin, 2015. "Bayesian estimation of a discrete response model with double rules of sample selection," Computational Statistics & Data Analysis, Elsevier, vol. 86(C), pages 81-96.
    9. Rong Zhang & Brett A. Inder & Xibin Zhang, 2013. "Bayesian estimation of a discrete response model with double rules of sample selection," Monash Econometrics and Business Statistics Working Papers 24/13, Monash University, Department of Econometrics and Business Statistics.

  14. Koop, Gary M & Poirier, Dale J & Tobias, Justin, 2005. "Semiparametric Bayesian Inference in Multiple Equation Models," Staff General Research Papers Archive 12009, Iowa State University, Department of Economics.

    Cited by:

    1. Alexandra Ferreira‐Lopes & Luís Filipe Martins & Ruben Espanhol, 2020. "The relationship between tax rates and tax revenues in eurozone member countries ‐ exploring the Laffer curve," Bulletin of Economic Research, Wiley Blackwell, vol. 72(2), pages 121-145, April.
    2. Bin Zhou & Qinfeng Xu & Jinhong You, 2011. "Efficient estimation for error component seemingly unrelated nonparametric regression models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(1), pages 121-138, January.
    3. Marianna Belloc & Ugo Pagano, 2009. "Politics-Business Interaction Paths," CESifo Working Paper Series 2883, CESifo.
    4. Manuel Wiesenfarth & Carlos Matías Hisgen & Thomas Kneib & Carmen Cadarso-Suarez, 2014. "Bayesian Nonparametric Instrumental Variables Regression Based on Penalized Splines and Dirichlet Process Mixtures," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 468-482, July.
    5. Nicholas Apergis & Christina Christou & Stephen Miller, 2012. "Convergence patterns in financial development: evidence from club convergence," Empirical Economics, Springer, vol. 43(3), pages 1011-1040, December.
    6. Bresson Georges & Chaturvedi Anoop & Rahman Mohammad Arshad & Shalabh, 2021. "Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation," The International Journal of Biostatistics, De Gruyter, vol. 17(1), pages 75-97, May.
    7. Joshua C.C. Chan & Angelia L. Grant, 2014. "Fast Computation of the Deviance Information Criterion for Latent Variable Models," CAMA Working Papers 2014-09, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Alan T. K. Wan & Jinhong You & Riquan Zhang, 2016. "A Seemingly Unrelated Nonparametric Additive Model with Autoregressive Errors," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 894-928, May.
    9. Huang, Ho-Chuan (River) & Lin, Shu-Chin, 2008. "Smooth-time-varying Okun's coefficients," Economic Modelling, Elsevier, vol. 25(2), pages 363-375, March.
    10. Myeong Jun Kim & Stanley I. M. Ko & Sung Y. Park, 2021. "On time and frequency-varying Okun’s coefficient: a new approach based on ensemble empirical mode decomposition," Empirical Economics, Springer, vol. 61(3), pages 1151-1188, September.
    11. Panayotis Michaelides & Mike Tsionas & Panos Xidonas, 2020. "A Bayesian Signals Approach for the Detection of Crises," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 551-585, September.
    12. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models," Journal of Econometrics, Elsevier, vol. 143(2), pages 291-316, April.

  15. Li, Mingliang & Tobias, Justin, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Staff General Research Papers Archive 12011, Iowa State University, Department of Economics.

    Cited by:

    1. Ley, Eduardo & Steel, Mark F. J., 2010. "Mixtures of g-priors for Bayesian model averaging with economic applications," MPRA Paper 26941, University Library of Munich, Germany.
    2. Paul Dalziel, 2015. "Regional skill ecosystems to assist young people making education employment linkages in transition from school to work," Local Economy, London South Bank University, vol. 30(1), pages 53-66, February.
    3. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney, 2012. "Bayesian model averaging in the instrumental variable regression model," Journal of Econometrics, Elsevier, vol. 171(2), pages 237-250.
    4. Theo Eicher & Cecilia Garcia-Peñalosa & David Kuenzel, 2018. "Constitutional rules as determinants of social infrastructure," Post-Print hal-01981017, HAL.
    5. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    6. Anastasia Dimiski, 2020. "Factors that affect Students’ performance in Science: An application using Gini-BMA methodology in PISA 2015 dataset," Working Papers 2004, University of Guelph, Department of Economics and Finance.
    7. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    8. 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.
    9. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    10. Vanina Forget, 2012. "Doing well and doing good: a multi-dimensional puzzle," Working Papers hal-00672037, HAL.

  16. Tobias, Justin, 2004. "Assessing Assessments of School Performance: The Case of California," Staff General Research Papers Archive 12010, Iowa State University, Department of Economics.

    Cited by:

    1. Eric A. Hanushek & John F. Kain & Steven G. Rivkin & Gregory F. Branch, 2005. "Charter School Quality and Parental Decision Making With School Choice," NBER Working Papers 11252, National Bureau of Economic Research, Inc.
    2. Isabella Sulis & Mariano Porcu, 2015. "Assessing Divergences in Mathematics and Reading Achievement in Italian Primary Schools: A Proposal of Adjusted Indicators of School Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 607-634, June.
    3. Eric A. Hanushek & John F. Kain & Steven G. Rivkin & Daniel M. O'Brien, 2005. "The Market for Teacher Quality," Discussion Papers 04-025, Stanford Institute for Economic Policy Research.
    4. Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2002. "New Evidence about Brown v. Board of Education: The Complex Effects of School Racial Composition on Achievement," NBER Working Papers 8741, National Bureau of Economic Research, Inc.
    5. Steven Glazerman & Tim Silva & Nii Addy & Sarah Avellar & Jeffrey Max & Allison McKie & Brenda Natzke & Michael Puma & Patrick Wolf & Rachel Ungerer Greszler, "undated". "Options for Studying Teacher Pay Reform Using Natural Experiments," Mathematica Policy Research Reports a8a2eb832b494266bf4ecee19, Mathematica Policy Research.

  17. Koop, Gary M & Tobias, Justin, 2004. "Learning About Heterogeneity in Returns to Schooling," Staff General Research Papers Archive 12008, Iowa State University, Department of Economics.

    Cited by:

    1. Patrawart, Kraiyos, 2008. "Can Equality in Education Be A New Anti-Corruption Tool?: Cross-Country Evidence (1990-2005)," MPRA Paper 9665, University Library of Munich, Germany.
    2. Garth Holloway & Donald Lacombe & James P. LeSage, 2007. "Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 549-588, September.
    3. Ruiqi Liu & Ben Boukai & Zuofeng Shang, 2019. "Statistical Inference on Partially Linear Panel Model under Unobserved Linearity," Papers 1911.08830, arXiv.org.
    4. Victor Iturra & Mauricio Sarrias, 2023. "Amenities and individual heterogeneity in the return to schooling," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-15, December.
    5. Dolton, Peter & Sandi, Matteo, 2017. "Returning to returns: Revisiting the British education evidence," Labour Economics, Elsevier, vol. 48(C), pages 87-104.
    6. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    7. Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
    8. Marianna Belloc & Ugo Pagano, 2009. "Politics-Business Interaction Paths," CESifo Working Paper Series 2883, CESifo.
    9. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    10. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2020. "Multidimensional skills and the returns to schooling: Evidence from an interactive fixed‐effects approach and a linked survey‐administrative data set," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 548-566, August.
    11. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
    12. Mohitosh Kejriwal & Xiaoxiao Li & Linh Nguyen & Evan Totty, 2024. "The efficacy of ability proxies for estimating the returns to schooling: A factor model‐based evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 3-21, January.
    13. Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.
    14. Henderson, Daniel J. & Houtenville, Andrew & Wang, Le, 2017. "The Distribution of Returns to Education for People with Disabilities," IZA Discussion Papers 10747, Institute of Labor Economics (IZA).
    15. Sandeep Mohapatra & Bruno Wichmann & Philippe Marcoul, 2018. "Removing The “Veil Of Ignorance”: Nonlinearities In Education Effects On Gender Wage Inequalities," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 644-666, October.
    16. Tran, Tuyen Quang & Hung Pham, Hiep & Thi Vo, Hoa & Thuy Luu, Hong & Mai Nguyen, Huong, 2019. "Local governance, education and occupation-education mismatch: Heterogeneous effects on wages in a lower middle income economy," International Journal of Educational Development, Elsevier, vol. 71(C).
    17. Mingliang Li, 2006. "High school completion and future youth unemployment: new evidence from High School and Beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 23-53, January.
    18. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
    19. Luca Favero & Andreina Fucci, 2017. "The Erasmus effect on earnings: a panel analysis from Siena," Department of Economics University of Siena 762, Department of Economics, University of Siena.
    20. Cui, Yuling & Nahm, Daehoon & Tani, Massimiliano, 2013. "Earnings Differentials and Returns to Education in China, 1995-2008," IZA Discussion Papers 7349, Institute of Labor Economics (IZA).
    21. Henderson, Daniel J. & Polachek, Solomon & Wang, Le, 2011. "Heterogeneity in Schooling Rates of Return," IZA Discussion Papers 5662, Institute of Labor Economics (IZA).
    22. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
    23. Biewen, Martin & (neé Tapalaga), Madalina Thiele, 2020. "Early tracking, academic vs. vocational training, and the value of ‘second-chance’ options," Labour Economics, Elsevier, vol. 66(C).
    24. Rémi Piatek & Pia Pinger, 2016. "Maintaining (Locus of) Control? Data Combination for the Identification and Inference of Factor Structure Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 734-755, June.
    25. Dolton, Peter & Sandi, Matteo, 2017. "Returning to returns: revisiting the British education evidence," LSE Research Online Documents on Economics 85152, London School of Economics and Political Science, LSE Library.
    26. Joshua C. C. Chan, 2005. "Replication of the results in ‘learning about heterogeneity in returns to schooling’," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 439-443, March.

  18. Gary Koop & Dale Poirier & Justin Tobias, 2003. "Bayesian Semiparametric Inference in Multiple Equation Models," Discussion Papers in Economics 04/17, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. Marianna Belloc & Ugo Pagano, 2009. "Politics-Business Interaction Paths," CESifo Working Paper Series 2883, CESifo.

  19. Li, Mingliang & Tobias, Justin, 2003. "A Semiparametric Investigation of the School Quality-Earnings Relationship," Staff General Research Papers Archive 12018, Iowa State University, Department of Economics.

    Cited by:

    1. Anton Bekkerman & Gregory Gilpin, 2011. "Cost-Effective Hiring in U.S. High Schools: Estimating Optimal Teacher Quantity and Quality Decisions," CAEPR Working Papers 2011-007, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.

  20. Li, Mingliang & Poirier, Dale J & Tobias, Justin, 2003. "Do Dropouts Suffer from Dropping Out? Estimation and Prediction of Outcome Gains in Generalized Selection Models," Staff General Research Papers Archive 12013, Iowa State University, Department of Economics.

    Cited by:

    1. Tsaneva, Magda, 2017. "Does school Matter? Learning outcomes of Indonesian children after dropping out of school," World Development Perspectives, Elsevier, vol. 6(C), pages 1-10.
    2. Chib, Siddhartha & Jacobi, Liana, 2007. "Modeling and calculating the effect of treatment at baseline from panel outcomes," Journal of Econometrics, Elsevier, vol. 140(2), pages 781-801, October.
    3. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    4. Chen, Heng & Fan, Yanqin & Wu, Jisong, 2014. "A flexible parametric approach for estimating switching regime models and treatment effect parameters," Journal of Econometrics, Elsevier, vol. 181(2), pages 77-91.
    5. Tobias, Justin, 2006. "Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model," Staff General Research Papers Archive 12480, Iowa State University, Department of Economics.
    6. 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.
    7. Murat K. Munkin, 2022. "Count Roy model with finite mixtures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1160-1181, September.

  21. Heckman, J J & Tobias, Justin & Vytlacil, Ed, 2003. "Simple Estimators for Treatment Parameters in a Latent Variable Framework," Staff General Research Papers Archive 12012, Iowa State University, Department of Economics.

    Cited by:

    1. Calzolari, Giorgio & Di Pino, Antonino, 2009. "Individual wage and reservation wage: efficient estimation of a simultaneous equation model with endogenous limited dependent variables," MPRA Paper 22984, University Library of Munich, Germany.
    2. Li, Mingliang & Poirier, Dale J & Tobias, Justin, 2003. "Do Dropouts Suffer from Dropping Out? Estimation and Prediction of Outcome Gains in Generalized Selection Models," Staff General Research Papers Archive 12013, Iowa State University, Department of Economics.
    3. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
    4. Fady Mansour, 2017. "Does Employment During Adolescence Reduce Adult Welfare Participation?," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 20(3), pages 199-227.
    5. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Kaspar W thrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
    7. Nobuhiro Hosoe & Shingo Takagi, 2011. "Retail Power Market Competition with Endogenous Entry Decision-An Auction Data Analysis," GRIPS Discussion Papers 11-01, National Graduate Institute for Policy Studies.
    8. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018. "Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters," Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
    9. Adiqa Kausar Kiani & Asif Sardar & Wasim Ullah Khan & Yigang He & Abdulbaki Bilgic & Yasemin Kuslu & Muhammad Asif Zahoor Raja, 2021. "Role of Agricultural Diversification in Improving Resilience to Climate Change: An Empirical Analysis with Gaussian Paradigm," Sustainability, MDPI, vol. 13(17), pages 1-15, August.
    10. James J. Heckman & Sergio Urzua & Edward J. Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," NBER Working Papers 12574, National Bureau of Economic Research, Inc.
    11. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
    12. Chen, Heng & Fan, Yanqin & Wu, Jisong, 2014. "A flexible parametric approach for estimating switching regime models and treatment effect parameters," Journal of Econometrics, Elsevier, vol. 181(2), pages 77-91.
    13. Letort, Elodie & Carpentier, Alain, 2009. "Endogeneity of acreage choices in input allocation equations: implied problems and a solution," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49217, Agricultural and Applied Economics Association.
    14. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).
    15. Chang, Hung-Hao & Yen, Steven T., 2011. "Full-time, part-time employment and life satisfaction of the elderly," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 815-823.
    16. Delajara, Marcelo & Freije, Samuel & Soloaga, Isidro, 2013. "Evaluation of training for the unemployed in Mexico: learning by comparing methods," MPRA Paper 55210, University Library of Munich, Germany.
    17. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2017. "Econom\'etrie et Machine Learning," Papers 1708.06992, arXiv.org, revised Mar 2018.
    18. Markus Gangl & Thomas A. DiPrete, 2004. "Kausalanalyse durch Matchingverfahren," Discussion Papers of DIW Berlin 401, DIW Berlin, German Institute for Economic Research.
    19. Daniel Polsky & Anirban Basu, 2012. "Selection Bias in Observational Data," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 46, Edward Elgar Publishing.
    20. Myoung-jae Lee & Sang-jun Lee, 2007. "Sensitivity Analysis Of Job-Training Effects On Reemployment For Korean Women," Discussion Paper Series 0720, Institute of Economic Research, Korea University.
    21. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    22. Tobias, Justin, 2006. "Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model," Staff General Research Papers Archive 12480, Iowa State University, Department of Economics.
    23. Letort, Elodie & Carpentier, Alain, 2010. "Variable Input Allocation: Why Heterogeneity Matters?," 120th Seminar, September 2-4, 2010, Chania, Crete 109387, European Association of Agricultural Economists.
    24. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
    25. Chen, Heng & Fan, Yanqin & Liu, Ruixuan, 2016. "Inference for the correlation coefficient between potential outcomes in the Gaussian switching regime model," Journal of Econometrics, Elsevier, vol. 195(2), pages 255-270.
    26. James J. Heckman & Salvador Navarro, 2005. "Dynamic Discrete Choice and Dynamic Treatment Effects," NBER Technical Working Papers 0316, National Bureau of Economic Research, Inc.
    27. William N. Evans & Craig Garthwaite, 2012. "Estimating Heterogeneity in the Benefits of Medical Treatment Intensity," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 635-649, August.
    28. M. Genius & E. Strazzera, 2003. "The copula approach of sampling selection modelling: an application to the recreational value of forests," Working Paper CRENoS 200308, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    29. Takuya Hasebe, 2011. "The Type of Contract and Starting Wage and Wage Growth: The Evidence from New Graduates from Post-Secondary Schools in the Netherlands," Working Papers 20, AlmaLaurea Inter-University Consortium.
    30. Justin Tobias, 2003. "The effects of cognitive ability and high school quality on college entry decisions: nonparametric estimation of parameters of interest," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 209-215.
    31. Joo, Joonhwi & LaLonde, Robert J., 2014. "Testing for Selection Bias," IZA Discussion Papers 8455, Institute of Labor Economics (IZA).
    32. Bola Awotide & Arega Alene & Tahirou Abdoulaye & Victor Manyong, 2015. "Impact of agricultural technology adoption on asset ownership: the case of improved cassava varieties in Nigeria," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 7(6), pages 1239-1258, December.
    33. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    34. Alejandra Cattaneo & Rainer Winkelmann, 2005. "Earnings Differentials between German and French speakers in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(II), pages 191-212, June.
    35. Hansa Jain, 2017. "Contractualization and Wage Differences: Evidence from Organized Manufacturing Industries in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 60(3), pages 461-479, September.
    36. Davide Del Prete & Armando Rungi, 2015. "Organizing the Global Value Chain: a firm-level test," Working Papers 2/15, Sapienza University of Rome, DISS.
    37. Czarnitzki, Dirk & Lopes Bento, Cindy & Doherr, Thorsten, 2011. "Counterfactual impact evaluation of cohesion policy. Work package 2: Examples from support to innovation and research. Final report," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 110541.
    38. Ashley Gorst & Ben Groom & Ali Dehlavi, 2015. "Crop productivity and adaptation to climate change in Pakistan," GRI Working Papers 189, Grantham Research Institute on Climate Change and the Environment.
    39. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2018. "Économétrie & Machine Learning," Working Papers hal-01568851, HAL.
    40. Montes-Rojas, G., 2008. "Robust misspecification tests for the Heckman’s two-step estimator," Working Papers 08/01, Department of Economics, City University London.
    41. Lloyd Ahamefule AMAGHIONYEODIWE & Tokunbo Simbowale OSINUBI, 2007. "Do Higher Levels Of Schooling Lead To Higher Returns To Education In Nigeria?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(1).
    42. Radchenko, Natalia, 2014. "Heterogeneity in Informal Salaried Employment: Evidence from the Egyptian Labor Market Survey," World Development, Elsevier, vol. 62(C), pages 169-188.
    43. Yulia V. Marchenko & Marc G. Genton, 2012. "A Heckman Selection- t Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(497), pages 304-317, March.
    44. Takuya Hasebe, 2018. "Treatment effect estimators for count data models," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1868-1873, November.
    45. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute of Labor Economics (IZA).
    46. Øystein Daljord & Carl F. Mela & Jason M. T. Roos & Jim Sprigg & Song Yao, 2023. "The Design and Targeting of Compliance Promotions," Marketing Science, INFORMS, vol. 42(5), pages 866-891, September.
    47. Xinyu (Jason) Cao, 2009. "Disentangling the influence of neighborhood type and self-selection on driving behavior: an application of sample selection model," Transportation, Springer, vol. 36(2), pages 207-222, March.
    48. Walters, Lurleen M. & Emerson, Robert D. & Iwai, Nobuyuki, 2008. "Proposed Immigration Policy Reform & Farm Labor Market Outcomes," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6285, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    49. Mark Dusheiko & Hugh Gravelle & Rowena Jacobs, 2004. "The effect of practice budgets on patient waiting times: allowing for selection bias," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 941-958, October.

  22. Tobias, Justin & Li, Mingliang, 2003. "A Finite Sample Hierarchical Analysis of Wage Variation Across Public High Schools: Evidence from the Nlsy and High School and Beyond," Staff General Research Papers Archive 12015, Iowa State University, Department of Economics.

    Cited by:

    1. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
    2. Mingliang Li, 2006. "High school completion and future youth unemployment: new evidence from High School and Beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 23-53.
    3. Mingliang Li, 2006. "High school completion and future youth unemployment: new evidence from High School and Beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 23-53, January.

  23. Tobias, Justin, 2003. "The Effects of Cognitive Ability and High School Quality on College Entry Decisions: Nonparametric Estimation of Parameters of Interest," Staff General Research Papers Archive 12017, Iowa State University, Department of Economics.

    Cited by:

    1. Yuhong Xu & Shih-Fen Cheng & Xinyu Chen, 2023. "Improving Quantal Cognitive Hierarchy Model Through Iterative Population Learning," Papers 2302.06033, arXiv.org, revised Feb 2023.
    2. Anil Kumar, 2006. "Nonparametric conditional density estimation of labour force participation," Applied Economics Letters, Taylor & Francis Journals, vol. 13(13), pages 835-841.

  24. Tobias, Justin, 2002. "Model Uncertainty and Race and Gender Heterogeneity in the College Entry Decision," Staff General Research Papers Archive 12019, Iowa State University, Department of Economics.

    Cited by:

    1. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
    2. Stephen L. DeJardins & Dennis A. Ahlburg & Brian McCall, "undated". "An Integrated Model of Application, Admission, Enrollment, and Financial Aid," Working Papers 0104, Human Resources and Labor Studies, University of Minnesota (Twin Cities Campus).
    3. Kathlyn E. Lucia & Robert W. Baumann, 2009. "Differences in the College Enrollment Decision across Race," The American Economist, Sage Publications, vol. 53(1), pages 60-74, March.

  25. DiNardo, John & Tobias, Justin, 2001. "Nonparametric Density and Regression Estimation," Staff General Research Papers Archive 12020, Iowa State University, Department of Economics.

    Cited by:

    1. Gundersen, Sara, 2016. "Disappointing returns to education in Ghana: A test of the robustness of OLS estimates using propensity score matching," International Journal of Educational Development, Elsevier, vol. 50(C), pages 74-89.
    2. Soldani, Emilia & Hildebrandt, Nicole & Nyarko, Yaw & Romagnoli, Giorgia, 2023. "Price information, inter-village networks, and “bargaining spillovers”: Experimental evidence from Ghana," Journal of Development Economics, Elsevier, vol. 164(C).
    3. Nie, Peng & Wang, Lu & Dragone, Davide & Lu, Haiyang & Sousa-Poza, Alfonso & Ziebarth, Nicolas R., 2021. ""The Better You Feel, the Harder You Fall": Health Perception Biases and Mental Health among Chinese Adults during the COVID-19 Pandemic," IZA Discussion Papers 14905, Institute of Labor Economics (IZA).
    4. Marco Caliendo & Sabine Kopeinig, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," Discussion Papers of DIW Berlin 485, DIW Berlin, German Institute for Economic Research.
    5. Deschamps-Laporte, Jean-Philippe, 2013. "The impact of extension services on farming households in Western Kenya: A propensity score approach," Working Papers 2013:5, Örebro University, School of Business, revised 10 Jun 2013.
    6. O'Neill, Donal & Sweetman, Olive & Van de gaer, Dirk, 2006. "The impact of cognitive skills on the distribution of the black-white wage gap," Labour Economics, Elsevier, vol. 13(3), pages 343-356, June.
    7. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2018. "Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania," World Development, Elsevier, vol. 105(C), pages 336-351.
    8. Kazuki Onji, 2008. "The Response of Firms to Eligibility Thresholds: Evidence from the Japanese Value-Added Tax," Asia Pacific Economic Papers 370, Australia-Japan Research Centre, Crawford School of Public Policy, The Australian National University.
    9. Corak, Miles & Lauzon, Darren, 2010. "Differences in the Distribution of High School Achievement: The Role of Class Size and Time-in-Term," IZA Discussion Papers 4824, Institute of Labor Economics (IZA).
    10. Jawara, Hamidou & Thiele, Rainer, 2018. "The nutrient-income elasticity in ultra-poor households: Evidence from Kenya," Kiel Working Papers 2114, Kiel Institute for the World Economy (IfW Kiel).
    11. Kuhn, Dieter, 2011. "Delayering and Firm Performance: Evidence from Swiss firm-level Data," Working papers 2011/02, Faculty of Business and Economics - University of Basel.
    12. Hisahiro Naito, 2003. "Endogenous Human Capital Accumulation, Comparative Advantage and Direct vs. Indirect Redistribution," ISER Discussion Paper 0590, Institute of Social and Economic Research, Osaka University.
    13. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
    14. Francisco Rosas & Bruce A. Babcock & Dermot J. Hayes, 2011. "A Nonlinear Offset Program to Reduce Nitrous Oxide Emissions Induced by Excessive Nitrogen Application," Center for Agricultural and Rural Development (CARD) Publications 11-wp521, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    15. Petri Böckerman & Eero Lehto, 2005. "Does Geography Play a Role in Domestic Takeovers? Theory and Finnish Micro-level Evidence," Urban/Regional 0505002, University Library of Munich, Germany.
    16. Aleksander Aristovnik & Alka Obadic, 2011. "The Funding And Efficiency Of Higher Education In Croatia And Slovenia: A Non-Parametric Comparison With Eu And Oecd Countries," William Davidson Institute Working Papers Series wp1007, William Davidson Institute at the University of Michigan.
    17. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    18. Manuel Illueca & José Pastor & Emili Tortosa-Ausina, 2009. "The effects of geographic expansion on the productivity of Spanish savings banks," Journal of Productivity Analysis, Springer, vol. 32(2), pages 119-143, October.
    19. Ponzo, Michela, 2013. "Does bullying reduce educational achievement? An evaluation using matching estimators," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1057-1078.
    20. Jumrani, Jaya, 2023. "How responsive are nutrients in India? Some recent evidence," Food Policy, Elsevier, vol. 114(C).
    21. Daniel W. Sacks & Betsey Stevenson & Justin Wolfers, 2010. "Subjective well-being, income, economic development and growth," Working Paper Series 2010-28, Federal Reserve Bank of San Francisco.
    22. Duleep, Harriet & Dowhan, Dan & Liu, Xingfei, 2023. "A Historical Note on the Assimilation Rates of Foreign-Born Women in the U.S," GLO Discussion Paper Series 1221, Global Labor Organization (GLO).
    23. Sanjukta Sarkar & Saritha Nair & M. Vishnu Vardhana Rao, 2023. "Exploring the Gender Dimension in Financial Inclusion in India: Insights from the Global Findex Database," Journal of Development Policy and Practice, , vol. 8(2), pages 141-161, July.
    24. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.
    25. Rosas, Juan Francisco, 2012. "Essays on the environmental effects of agricultural production," ISU General Staff Papers 201201010800003744, Iowa State University, Department of Economics.
    26. Harald Badinger & Peter H. Egger & Maximilian von Ehrlich, 2019. "Productivity Growth, Human Capital and Technology Spillovers: Nonparametric Evidence for EU Regions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 768-779, August.
    27. Ali, Akhter & Bahadur Rahut, Dil & Behera, Bhagirath, 2016. "Factors influencing farmers׳ adoption of energy-based water pumps and impacts on crop productivity and household income in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 48-57.
    28. Richard Disney & Eleonora Fischera & Trudy Owens, 2010. "Has the Introduction of Microfinance Crowded-out Informal Loans in Malawi?," Discussion Papers 10/08, University of Nottingham, CREDIT.
    29. Massimiliano BRATTI & Chiara BROCCOLINI & Stefano STAFFOLANI, 2006. "Is '3+2' Equal to 4? University Reform and Student Academic Performance in Italy," Working Papers 251, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    30. Rakhshanda, Kousar & Awudu, Abdulai, 2013. "Impacts of rural non-farm employment on household welfare in Pakistan," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149890, Italian Association of Agricultural and Applied Economics (AIEAA).
    31. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    32. Sarah Kösters, 2010. "Subsidizing Start-Ups: Policy Targeting and Policy Effectiveness," Journal of Industry, Competition and Trade, Springer, vol. 10(3), pages 199-225, September.
    33. Lars Thiel, 2015. "Leave the Drama on the Stage: The Effect of Cultural Participation on Health," SOEPpapers on Multidisciplinary Panel Data Research 767, DIW Berlin, The German Socio-Economic Panel (SOEP).
    34. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
    35. Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
    36. Bülbül, Dilek & Lambert, Claudia, 2012. "Credit portfolio modelling and its effect on capital requirements," Discussion Papers 11/2012, Deutsche Bundesbank.
    37. David Gill & Victoria Prowse & Zdenka Kissova & Jaesun Lee, 2016. "First-place loving and last-place loathing: How rank in the distribution of performance affects effort provision," Economics Series Working Papers 783, University of Oxford, Department of Economics.
    38. Kresch, Evan Plous & Walker, Mark & Best, Michael Carlos & Gerard, François & Naritomi, Joana, 2023. "Sanitation and property tax compliance: Analyzing the social contract in Brazil," Journal of Development Economics, Elsevier, vol. 160(C).
    39. Justin McCrary & Heather Royer, 2011. "The Effect of Female Education on Fertility and Infant Health: Evidence from School Entry Policies Using Exact Date of Birth," American Economic Review, American Economic Association, vol. 101(1), pages 158-195, February.
    40. Patrick IMAM & Roland Kangni KPODAR, 2015. "Is Islamic Banking Good for Growth?," Working Papers P124, FERDI.
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    64. Kenneth Leonard & Melkiory Masatu, 2007. "Moving from the lab to the field: Exploring scrutiny and duration effects in lab experiments," Natural Field Experiments 00293, The Field Experiments Website.
    65. Esteban Rossi-Hansberg & Pierre-Daniel Sarte & Raymond Owens, 2010. "Housing Externalities," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 485-535, June.
    66. Donal O.Neill, 2005. "The Welfare Implications of Growth Regressions," Economics Department Working Paper Series n1570505, Department of Economics, National University of Ireland - Maynooth.
    67. Boaitey, Albert & Goddard, Ellen & Mohapatra, Sandeep & Basarab, John A. & Miller, Steve & Crowley, John, 2013. "An Evaluation of Alternate Feed Efficiency Estimates in Beef Cattle," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150439, Agricultural and Applied Economics Association.
    68. Leonard, Kenneth & Masatu, Melkiory C., 2006. "Outpatient process quality evaluation and the Hawthorne Effect," Social Science & Medicine, Elsevier, vol. 63(9), pages 2330-2340, November.
    69. Rosas, Francisco & Orazem, Peter F., 2014. "Is Self-Sufficiency for Women’s Collegiate Athletics a Hoop Dream? Willingness to Pay for Men’s and Women’s Basketball Tickets," ISU General Staff Papers 201412010800001014, Iowa State University, Department of Economics.
    70. Golberstein Ezra & Hirth Richard A. & Lantz Paula M., 2012. "Estimating the Education-Health Relationship: A Cost-Utility Approach," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(3), pages 1-27, March.
    71. Chanjin Chung & Emílio Tostão, 2009. "Nonparametric Estimation of Oligopsony Power in First‐Price Auction," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 318-333, June.
    72. Francisco Rosas & Peter F. Orazem, 2014. "Is Self-Sufficiency for Women’s Collegiate Athletics a Hoop Dream? Willingness to Pay for Men’s and Women’s Basketball Tickets," Journal of Sports Economics, , vol. 15(6), pages 579-600, December.
    73. Emmanuel Skoufias & Vincenzo Di Maro & Teresa González‐Cossío & Sonia Rodríguez Ramírez, 2009. "Nutrient consumption and household income in rural Mexico," Agricultural Economics, International Association of Agricultural Economists, vol. 40(6), pages 657-675, November.
    74. Andreas Chai & Alessio Moneta, 2010. "Retrospectives: Engel Curves," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 225-240, Winter.
    75. Justin Tobias, 2003. "The effects of cognitive ability and high school quality on college entry decisions: nonparametric estimation of parameters of interest," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 209-215.
    76. Francisco Rosas & Mariana Sans & Santiago Arana, 2018. "The effect of irrigation on income volatility reduction: a prospect theory approach," Documentos de Investigación 118, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
    77. Daniel Zaga, 2014. "The Impact of Three Mexican Nutritional Programs: The Case of Dif-Puebla," CFD Working Papers 09-2015, Centre for Finance and Development, The Graduate Institute.
    78. Marco Caliendo, 2009. "Start‐up subsidies in East Germany: finally, a policy that works?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 30(7), pages 625-647, November.
    79. Petri Bockerman & Eero Lehto, 2006. "Geography of Domestic Mergers and Acquisitions (M&As): Evidence from Matched Firm-level Data," Regional Studies, Taylor & Francis Journals, vol. 40(8), pages 847-860.
    80. Luca De Benedictis, 2006. "Openness, Specialization and Growth," DEGIT Conference Papers c011_054, DEGIT, Dynamics, Economic Growth, and International Trade.
    81. Fernando Borraz & Nicolás González, 2009. "Minimum Wage: Empirical evidence for Uruguay," Documentos de trabajo 2009003, Banco Central del Uruguay.
    82. Wang, Shaoping & Li, Ang & Wen, Kuangyu & Wu, Ximing, 2020. "Robust kernels for kernel density estimation," Economics Letters, Elsevier, vol. 191(C).
    83. Rosas, Juan Francisco & Sans, Mariana & Arana, Santiago, 2017. "Quantifying the Benefits of Supplemented Irrigation due to Less Volatile Yields: A Prospect Theory Approach Applied to Summer Crops in Uruguay," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259122, Agricultural and Applied Economics Association.
    84. Leonard, Kenneth L. & Masatu, Melkiory C., 2008. "Professionalism, Latent Professionalism and Organizational Demands for Health Care Quality in a Developing Country," Working Papers 42883, University of Maryland, Department of Agricultural and Resource Economics.
    85. Sabrina T. Howell & Jason Rathje & John Van Reenen & Jun Wong, 2021. "Opening up military innovation: causal effects of reforms to U.S. defense research," POID Working Papers 004, Centre for Economic Performance, LSE.
    86. Raymond E. Owens & Esteban Rossi-Hansberg & Pierre-Daniel G. Sarte, 2008. "Housing externalities : evidence from spatially concentrated urban revitalization programs," Working Paper 08-03, Federal Reserve Bank of Richmond.
    87. Choi, Yo Chul & Hummels, David & Xiang, Chong, 2009. "Explaining import quality: The role of the income distribution," Journal of International Economics, Elsevier, vol. 77(2), pages 265-275, April.
    88. Lessmann, Christian, 2014. "Spatial inequality and development — Is there an inverted-U relationship?," Journal of Development Economics, Elsevier, vol. 106(C), pages 35-51.
    89. Lu, Yu-Lung & Chou, Stephen Jui-Hsien & Lin, Eric S., 2014. "Gender differences in the impact of weight status on academic performance: Evidence from adolescents in Taiwan," Children and Youth Services Review, Elsevier, vol. 46(C), pages 300-314.
    90. Hisahiro Naito, 2003. "Atkinson and Stiglitz Theorem with Endogenous Human Capital Accumulation," ISER Discussion Paper 0596, Institute of Social and Economic Research, Osaka University.
    91. Aristovnik, Aleksander & Obadić, Alka, 2011. "The funding and efficiency of higher education in Croatia and Slovenia: a non-parametric comparison," MPRA Paper 31466, University Library of Munich, Germany.
    92. Jin, Fangyi, 2011. "Revisiting the composition puzzles of the household portfolio: New evidence," Review of Financial Economics, Elsevier, vol. 20(2), pages 63-73, May.
    93. Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192, February.
    94. Petri Böckerman, 2002. "Overtime in Finland," Finnish Economic Papers, Finnish Economic Association, vol. 15(1), pages 36-54, Spring.
    95. Emmanuel Skoufias & Vincenzo Di Maro & Teresa Gonzalez-Cossio & Sonia Rodriguez Ramirez, 2011. "Food quality, calories and household income," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4331-4342.
    96. Erling Røed Larsen, 2005. "Distributional Effects of Environmental Taxes on Transportation. Evidence from Engel Curves in the United States," Discussion Papers 428, Statistics Norway, Research Department.
    97. Kevin A. Bryan & Pierre-Daniel G. Sarte, 2009. "Semiparametric estimation of land price gradients using large data sets," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 95(Win), pages 53-74.
    98. Chen, Yongmin & Puttitanun, Thitima, 2005. "Intellectual property rights and innovation in developing countries," Journal of Development Economics, Elsevier, vol. 78(2), pages 474-493, December.
    99. Garcia-Medina Cecilia, 2016. "You, Me and the Mean: a Semiparametric Approach to the Redistributive Effects of Transfer Programs," Working Papers 2016-16, Banco de México.
    100. Frazer, Garth, 2006. "Inequality and development across and within countries," World Development, Elsevier, vol. 34(9), pages 1459-1481, September.
    101. Erling Røed Larsen, 2006. "Distributional effects of environmental taxes on transportation: evidence from Engel curves in the United States," Journal of Consumer Policy, Springer, vol. 29(3), pages 301-318, September.
    102. Bacolod, Marigee & Tobias, Justin, 2005. "Schools, School Quality and Academic Achievement: Evidence from the Philippines," Staff General Research Papers Archive 12249, Iowa State University, Department of Economics.
    103. Harald Badinger, Peter Egger, Maximilian von Ehrlich, 2013. "Productivity Growth, Human Capital, and Technology Spillovers," Diskussionsschriften credresearchpaper04, Universitaet Bern, Departement Volkswirtschaft - CRED.
    104. Sai Yuan & Xiongfeng Pan, 2023. "The spatiotemporal effects of green fiscal expenditure on low-carbon transition: empirical evidence from china’s low-carbon pilot cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 507-533, April.
    105. Wang, Jiazhen & Jiang, Yuexiang & Zhu, Yanjian & Yu, Jing, 2020. "Prediction of volatility based on realized-GARCH-kernel-type models: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 91(C), pages 428-444.
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    107. Fangyi Jin, 2011. "Revisiting the composition puzzles of the household portfolio: New evidence," Review of Financial Economics, John Wiley & Sons, vol. 20(2), pages 63-73, May.
    108. Francisco Rosas & Mariana Sans, 2023. "Quantifying the value to the farmer from adopting climate risk-reducing technologies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(6), pages 1-18, August.
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    111. Aranda, Luis, 2015. "Doubling up: A gift or a shame? Intergenerational households and parental depression of older Europeans," Social Science & Medicine, Elsevier, vol. 134(C), pages 12-22.
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  26. Poirier, D.J. & Tobias, L., 2001. "Across-Regime Covariance Restrictions in Treatment Response Models," Papers 00-01-29, California Irvine - School of Social Sciences.

    Cited by:

    1. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.

  27. Poirier, D.J. & Tobias, J.L., 2001. "On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter," Papers 00-01-30, California Irvine - School of Social Sciences.

    Cited by:

    1. Ishdorj, Ariun & Jensen, Helen H. & Tobias, Justin, 2008. "Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach," ISU General Staff Papers 200801010800001473, Iowa State University, Department of Economics.
    2. Calzolari, Giorgio & Di Pino, Antonino, 2009. "Individual wage and reservation wage: efficient estimation of a simultaneous equation model with endogenous limited dependent variables," MPRA Paper 22984, University Library of Munich, Germany.
    3. Li, Mingliang & Poirier, Dale J & Tobias, Justin, 2003. "Do Dropouts Suffer from Dropping Out? Estimation and Prediction of Outcome Gains in Generalized Selection Models," Staff General Research Papers Archive 12013, Iowa State University, Department of Economics.
    4. Becher, Michael & Stegmueller, Daniel, 2019. "Cognitive Ability, Union Membership, and Voter Turnout," IAST Working Papers 19-97, Institute for Advanced Study in Toulouse (IAST).
    5. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
    6. Ariun Ishdorj & Mary Kay Crepinsek & Helen H. Jensen, 2013. "Children's Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choices at School and Away from School?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(2), pages 341-359.
    7. Munkin, Murat K. & Trivedi, Pravin K., 2008. "Bayesian analysis of the ordered probit model with endogenous selection," Journal of Econometrics, Elsevier, vol. 143(2), pages 334-348, April.
    8. Muto, Sachio, 2006. "Estimation of the bid rent function with the usage decision model," Journal of Urban Economics, Elsevier, vol. 60(1), pages 33-49, July.
    9. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    10. De Groote, Olivier & Declercq, Koen, 2018. "Tracking and specialization of high schools: heterogeneous effects of school choice," TSE Working Papers 18-958, Toulouse School of Economics (TSE), revised Jun 2020.
    11. Chib, Siddhartha, 2007. "Analysis of treatment response data without the joint distribution of potential outcomes," Journal of Econometrics, Elsevier, vol. 140(2), pages 401-412, October.
    12. Kris J. Mitchener & Angela Vossmeyer & Kris James Mitchener, 2023. "How Do Financial Crises Redistribute Risk?," CESifo Working Paper Series 10597, CESifo.
    13. Murray D. Smith, 2005. "Using Copulas to Model Switching Regimes with an Application to Child Labour," The Economic Record, The Economic Society of Australia, vol. 81(s1), pages 47-57, August.
    14. Ishdorj, Ariun & Crepinsek, Mary Kay & Jensen, Helen H., 2012. "Children’s Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choice in School Meals?," 2012 AAEA/EAAE Food Environment Symposium 123534, Agricultural and Applied Economics Association.
    15. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
    16. Giorgio Calzolari & Maria Gabriella Campolo & Antonino Pino & Laura Magazzini, 2023. "Assessing individual skill influence on housework time of Italian women: an endogenous-switching approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 659-679, June.
    17. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
    18. Tobias, Justin, 2006. "Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model," Staff General Research Papers Archive 12480, Iowa State University, Department of Economics.
    19. Partha Deb & Murat K. Munkin & Pravin K. Trivedi, 2006. "Bayesian analysis of the two‐part model with endogeneity: application to health care expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1081-1099, November.
    20. Murat K. Munkin, 2022. "Count Roy model with finite mixtures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1160-1181, September.
    21. Shimeles Abebe & Andinet Woldemichael, 2015. "Working Paper 225 - Measuring the Impact of Micro-Health Insurance on Healthcare Utilization: A Bayesian Potential Outcomes Approach," Working Paper Series 2166, African Development Bank.
    22. Anders Løland & Ragnar Bang Huseby & Nils Lid Hjort & Arnoldo Frigessi, 2013. "Statistical Corrections of Invalid Correlation Matrices," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 807-824, December.

  28. Heckman, J J & Tobias, Justin & Vytlacil, Ed, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Staff General Research Papers Archive 12022, Iowa State University, Department of Economics.

    Cited by:

    1. Muhammad Faisal Shahzad & Awudu Abdulai & Gazali Issahaku, 2021. "Adaptation Implications of Climate-Smart Agriculture in Rural Pakistan," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    2. Wang, Xinyi & Mokhtarian, Patricia L., 2024. "Examining the treatment effect of teleworking on vehicle-miles driven: Applying an ordered probit selection model and incorporating the role of travel stress," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).
    3. Bairagi, Subir & Bhandari, Humnath & Kumar Das, Subrata & Mohanty, Samarendu, 2021. "Flood-tolerant rice improves climate resilience, profitability, and household consumption in Bangladesh," Food Policy, Elsevier, vol. 105(C).
    4. Song, Chunxiao & Liu, Ruifeng & Oxley, Oxley & Ma, Hengyun, 2018. "The adoption and impact of engineering-type measures to address climate change: evidence from the major grain-producing areas in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(4), October.
    5. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    6. C.Y. Cyrus Chu & Seik Kim & Wen-Jen Tsay, 2012. "Coresidence with Husband's Parents, Labor Supply, and Duration to First Birth," Working Papers UWEC-2012-04, University of Washington, Department of Economics.
    7. Joshua D. Angrist, 2003. "Treatment Effect Heterogeneity in Theory and Practice," NBER Working Papers 9708, National Bureau of Economic Research, Inc.
    8. Emiliano Magrini & Mauro Vigani, 2016. "Technology adoption and the multiple dimensions of food security: the case of maize in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(4), pages 707-726, August.
    9. Seng, Kimty, 2021. "The mobile money’s poverty-reducing promise: Evidence from Cambodia," World Development Perspectives, Elsevier, vol. 22(C).
    10. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
    11. Yi Cui & Thomas Glauben & Wei Si & Qiran Zhao, 2023. "The effect of Internet usage on dietary quality: Evidence from rural China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(S1), pages 1478-1494, December.
    12. Charles Raux & Ayana Lamatkhanova & Lény Grassot, 2021. "Does the built environment shape commuting? The case of Lyon (France)," Post-Print halshs-03010833, HAL.
    13. Julius Manda & Cornelis Gardebroek & Makaiko Khonje & Arega Alene & Munyaradzi Mutenje & Menale Kassie, 2016. "Determinants of child nutritional status in the eastern province of Zambia: the role of improved maize varieties," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 239-253, February.
    14. Sebastian Edwards & I. Igal Magendzo, 2003. "Dollarization and economic performance: What do we really know?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(4), pages 351-363.
    15. Kassie, Menale & Teklewolde, Hailemariam & Erenstein, Olaf & Jaleta, Moti & Marenya, Paswel & Mekurai, Mulugetta, 2015. "Technology diversification: Assessing impacts on crop income and agrochemical uses in Malawi," 2015 Conference, August 9-14, 2015, Milan, Italy 211838, International Association of Agricultural Economists.
    16. Marie Lassalas & Sabine Duvaleix & Laure Latruffe, 2024. "The technical and economic effects of biodiversity standards on wheat production," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 51(2), pages 275-308.
    17. Liu, Xiaowen & Yen, Steven T., 2009. "The Supplemental Nutrition Assistance Program and Nutrient Intakes," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49529, Agricultural and Applied Economics Association.
    18. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Bhat, Chandra R. & Eluru, Naveen, 2009. "A copula-based approach to accommodate residential self-selection effects in travel behavior modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 749-765, August.
    20. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.
    21. Kaspar W thrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
    22. Doris Läpple & Thia Hennessy & Carol Newman, 2013. "Quantifying the Economic Return to Participatory Extension Programmes in Ireland: an Endogenous Switching Regression Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 467-482, June.
    23. Bairagi, Subir & Mishra, Ashok K. & Durand-Morat, Alvaro, 2020. "Climate risk management strategies and food security: Evidence from Cambodian rice farmers," Food Policy, Elsevier, vol. 95(C).
    24. John DiNardo & David S. Lee, 2010. "Program Evaluation and Research Designs," NBER Working Papers 16016, National Bureau of Economic Research, Inc.
    25. Di Falco, Salvatore & Veronesi, Marcella, 2012. "Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile basin of Ethiopia," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134775, Agricultural Economics Society.
    26. Angel de la Fuente, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 576.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    27. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    28. Yang, Jinqiu & Hong, Yongmiao & Ma, Shuangge, 2016. "Impact of the new health care reform on hospital expenditure in China: A case study from a pilot city," China Economic Review, Elsevier, vol. 39(C), pages 1-14.
    29. Leung, Kevin Y.K. & Astroza, Sebastian & Loo, Becky P.Y. & Bhat, Chandra R., 2019. "An environment-people interactions framework for analysing children's extra-curricular activities and active transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 341-358.
    30. Hambulo Ngoma, 2018. "Does minimum tillage improve the livelihood outcomes of smallholder farmers in Zambia?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(2), pages 381-396, April.
    31. Cao, Yangzhe & Swallow, Brent & Qiu, Feng, 2021. "Identifying the effects of a land-use policy on willingness to pay for open space using an endogenous switching regression model," Land Use Policy, Elsevier, vol. 102(C).
    32. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
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  29. Tobias, Justin & Zellner, Arnold, 2001. "Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model," Staff General Research Papers Archive 12021, Iowa State University, Department of Economics.

    Cited by:

    1. Tack, Jesse, 2013. "A Nested Test for Common Yield Distributions with Applications to U.S. Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
    2. LaFrance, Jeffrey T., 1999. "An Econometric Model Of The Demand For Food And Nutrition," CUDARE Working Papers 25004, University of California, Berkeley, Department of Agricultural and Resource Economics.
    3. Frank Kleibergen & Eric Zivot, 2003. "Bayesian and Classical Approaches to Instrumental Variable Regression," Working Papers UWEC-2002-21-P, University of Washington, Department of Economics.
    4. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    5. Dorfman, Jeffrey H. & Atkinson, Scott E., 2002. "Multiple Comparisons With The Best: Bayesian Precision Measures Of Efficiency Rankings," 2002 Annual meeting, July 28-31, Long Beach, CA 19800, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Traoré, Fousseini, 2013. "Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 94(3).
    7. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    8. Komunjer, Ivana & Ragusa, Giuseppe, 2016. "Existence And Characterization Of Conditional Density Projections," Econometric Theory, Cambridge University Press, vol. 32(4), pages 947-987, August.
    9. Gao, Chuanming & Lahiri, Kajal, 2002. "A note on the double k-class estimator in simultaneous equations," Journal of Econometrics, Elsevier, vol. 108(1), pages 101-111, May.
    10. Rodney W. Strachan & Herman K. van Dijk, 2014. "Divergent Priors and Well Behaved Bayes Factors," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(1), pages 1-31, March.
    11. Komunjer, Ivana & Ragusa, Giuseppe, 2009. "Existence and Uniqueness of Semiparametric Projections," University of California at San Diego, Economics Working Paper Series qt0wg3j51c, Department of Economics, UC San Diego.
    12. Agee, Mark D. & Atkinson, Scott E. & Crocker, Thomas D. & Williams, Jonathan W., 2014. "Non-separable pollution control: Implications for a CO2 emissions cap and trade system," Resource and Energy Economics, Elsevier, vol. 36(1), pages 64-82.
    13. R. A. L. Carter & A. Zellner, 2002. "The ARAR Error Model for Univariate Time Series and Distributed Lag Models," University of Western Ontario, Departmental Research Report Series 20025, University of Western Ontario, Department of Economics.
    14. Antoine, Bertille & Bonnal, Helene & Renault, Eric, 2007. "On the efficient use of the informational content of estimating equations: Implied probabilities and Euclidean empirical likelihood," Journal of Econometrics, Elsevier, vol. 138(2), pages 461-487, June.
    15. Scott E. Atkinson & Jeffrey H. Dorfman, 2009. "Feasible estimation of firm-specific allocative inefficiency through Bayesian numerical methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 675-697.
    16. LaFrance, J. T. & Beatty, T. K. M. & Pope, R. D. & Agnew, G. K., 2002. "Information theoretic measures of the income distribution in food demand," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 235-257, March.
    17. Wu, Ximing, 2003. "Calculation of maximum entropy densities with application to income distribution," Journal of Econometrics, Elsevier, vol. 115(2), pages 347-354, August.
    18. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    19. Zellner, Arnold, 2006. "S. James Press And Bayesian Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 10(5), pages 667-684, November.
    20. Zellner, Arnold & Ando, Tomohiro, 2010. "Bayesian and non-Bayesian analysis of the seemingly unrelated regression model with Student-t errors, and its application for forecasting," International Journal of Forecasting, Elsevier, vol. 26(2), pages 413-434, April.
    21. Zellner, Arnold, 2007. "Some aspects of the history of Bayesian information processing," Journal of Econometrics, Elsevier, vol. 138(2), pages 388-404, June.
    22. Golan Amos, 2003. "An Information Theoretic Approach for Estimating Nonlinear Dynamic Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-26, December.
    23. Zellner, Arnold, 2010. "Bayesian shrinkage estimates and forecasts of individual and total or aggregate outcomes," Economic Modelling, Elsevier, vol. 27(6), pages 1392-1397, November.

  30. Tobias, Justin, 2001. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability-Earnings Relationships," Staff General Research Papers Archive 12016, Iowa State University, Department of Economics.

    Cited by:

    1. Gundersen, Sara, 2016. "Disappointing returns to education in Ghana: A test of the robustness of OLS estimates using propensity score matching," International Journal of Educational Development, Elsevier, vol. 50(C), pages 74-89.
    2. Richard Murphy & Gill Wyness, 2015. "Testing Means-Tested Aid?," DoQSS Working Papers 15-10, Quantitative Social Science - UCL Social Research Institute, University College London.
    3. Hisahiro Naito, 2003. "Endogenous Human Capital Accumulation, Comparative Advantage and Direct vs. Indirect Redistribution," ISER Discussion Paper 0590, Institute of Social and Economic Research, Osaka University.
    4. Gareth D. Leeves, 2014. "Increasing returns to education and the impact on social capital," Education Economics, Taylor & Francis Journals, vol. 22(5), pages 449-470, October.
    5. Darío Maldonado, 2008. "Education policies and optimal taxation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(2), pages 131-143, April.
    6. Nicholas W. Papageorge & Kevin Thom, 2017. "Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study," Upjohn Working Papers 17-273, W.E. Upjohn Institute for Employment Research.
    7. Joop Hartog & Mirjam van Praag & Justin van der Sluis, 2008. "If you are so smart, why aren't you an entrepreneur? Returns to cognitive and social ability: Entrepreneurs versus employees," Jena Economics Research Papers 2008-084, Friedrich-Schiller-University Jena.
    8. Kevin Denny & Vincent O'sullivan, 2007. "Can education compensate for low ability? Evidence from British data," Applied Economics Letters, Taylor & Francis Journals, vol. 14(9), pages 657-660.
    9. F. Cugnata & G. Perucca & S. Salini, 2017. "Bayesian networks and the assessment of universities' value added," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(10), pages 1785-1806, July.
    10. Jutta Viinikainen & Katja Kokko & Lea Pulkkinen & Jaakko Pehkonen, 2010. "Personality and Labour Market Income: Evidence from Longitudinal Data," LABOUR, CEIS, vol. 24(2), pages 201-220, June.
    11. Dan A. Black & Jeffrey Smith, 2003. "How Robust is the Evidence on the Effects of College Quality? Evidence From Matching," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20033, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    12. Eliasson, Kent, 2006. "The Role of Ability in Estimating the Returns to College Choice: New Swedish Evidence," Umeå Economic Studies 691, Umeå University, Department of Economics.
    13. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
    14. Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
    15. Stephens, Eric, 2010. "Teach a Man to Fish? Education vs. Optimal Taxation," Working Papers 2010-15, University of Alberta, Department of Economics, revised 27 Feb 2012.
    16. Kevin Denny & Patrick Orla Doyle, 2005. "Returns to basic skills in Central and Eastern Europe - a semi-parametric approach," Working Papers 200507, School of Economics, University College Dublin.
    17. David Newhouse & Daniel Suryadarma, 2011. "The Value of Vocational Education: High School Type and Labor Market Outcomes in Indonesia," The World Bank Economic Review, World Bank, vol. 25(2), pages 296-322, May.
    18. Naito Hisahiro, 2007. "Atkinson-Stiglitz Theorem with Endogenous Human Capital Accumulation," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-19, September.
    19. Dario Maldonado, 2007. "The design of optimal education policies when individuals differ in inherited wealth and ability," Documentos de Trabajo 3975, Universidad del Rosario.
    20. Eric Bettinger, 2004. "How Financial Aid Affects Persistence," NBER Working Papers 10242, National Bureau of Economic Research, Inc.
    21. Sofie J. Cabus & Carla Haelermans, 2017. "Work or Schooling? On the Return to Gaining In-School Work Experiences," British Journal of Industrial Relations, London School of Economics, vol. 55(1), pages 34-57, March.
    22. Nicholas Biddle, 2006. "Does it pay for Indigenous youth to go to school? Variation in the predicted economic benefits of High School," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 9(2), pages 173-199, June.
    23. DiNardo, John & Tobias, Justin, 2001. "Nonparametric Density and Regression Estimation," Staff General Research Papers Archive 12020, Iowa State University, Department of Economics.
    24. Hisahiro Naito, 2003. "Atkinson and Stiglitz Theorem with Endogenous Human Capital Accumulation," ISER Discussion Paper 0596, Institute of Social and Economic Research, Osaka University.
    25. Bernarda Zamora Talaya & Eduard Gracia, 2007. "Nature, nurture and market conditions: Ability and education in the policy evaluation approach," Working Papers. Serie AD 2007-29, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    26. Astrid Krenz, 2008. "Theorie und Empirie über den Wirkungszusammenhang zwischen sozialer Herkunft, kulturellem und sozialem Kapital, Bildung und Einkommen in der Bundesrepublik Deutschland," SOEPpapers on Multidisciplinary Panel Data Research 128, DIW Berlin, The German Socio-Economic Panel (SOEP).
    27. Koop, Gary M & Poirier, Dale J & Tobias, Justin, 2005. "Semiparametric Bayesian Inference in Multiple Equation Models," Staff General Research Papers Archive 12009, Iowa State University, Department of Economics.
    28. Darío Maldonado, 2007. "The design of optimal education policies when individuals differ in inherited wealth and ability," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 25(55), pages 84-108, December.
    29. Cornelissen Thomas & Jirjahn Uwe & Tsertsvadze Georgi, 2008. "Parental Background and Earnings: German Evidence on Direct and Indirect Relationships," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(5-6), pages 554-572, October.
    30. Krenz, Astrid, 2010. "La distinction reloaded: Returns to education, family background, cultural and social capital in Germany," University of Göttingen Working Papers in Economics 108, University of Goettingen, Department of Economics.

  31. Tobias, Justin & Zellner, Arnold, 2000. "A Note on Aggregation, Disaggregation and Forecasting Performance," Staff General Research Papers Archive 12024, Iowa State University, Department of Economics.

    Cited by:

    1. Frédérick Demers & Annie De Champlain, 2005. "Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?," Staff Working Papers 05-44, Bank of Canada.
    2. Libero Monteforte, 2004. "Aggregation bias in macro models: does it matter foir the euro area?," Temi di discussione (Economic working papers) 534, Bank of Italy, Economic Research and International Relations Area.
    3. Colin Bermingham & Antonello D’Agostino, 2014. "Understanding and forecasting aggregate and disaggregate price dynamics," Empirical Economics, Springer, vol. 46(2), pages 765-788, March.
    4. Arnold Zellner & Jacques K. Ngoie, 2012. "Modeling and policy analysis for the U.S. Science Sector," Working Papers 264, Economic Research Southern Africa.
    5. WAN, Shui-Ki & WANG, Shin-Huei & WOO, Chi-Keung, 2012. "Total tourist arrival forecast: aggregation vs. disaggregation," LIDAM Discussion Papers CORE 2012039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Katja Drechsel & Dr. Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    7. Jacques Kibambe Ngoie & Arnold Zellner, 2012. "Evaluation of the Effects of Reduced Personal and Corporate Tax Rates on the Growth Rates of the U.S. Economy," Working Papers 201217, University of Pretoria, Department of Economics.
    8. Yang, Yang & Shang, Han Lin & Raymer, James, 2024. "Forecasting Australian fertility by age, region, and birthplace," International Journal of Forecasting, Elsevier, vol. 40(2), pages 532-548.
    9. Denny Meyer & Rob J. Hyndman, 2005. "Rating Forecasts for Television Programs," Monash Econometrics and Business Statistics Working Papers 1/05, Monash University, Department of Econometrics and Business Statistics.
    10. Han Lin Shang & Yang Yang, 2021. "Forecasting Australian subnational age-specific mortality rates," Journal of Population Research, Springer, vol. 38(1), pages 1-24, March.
    11. Herbert Ntuli, 2019. "Can local communities afford full control over wildlife conservation? The Case of CAMPFIRE in Zimbabwe," Working Papers 179, Economic Research Southern Africa.
    12. Juan de Dios TENA & Antoni ESPASA & Gabriel PINO, 2010. "Forecasting Inflation and Relative Prices in the European Regions: A Case Study," Regional and Urban Modeling 284100040, EcoMod.
    13. Kosei Fukuda, 2009. "Related-variables selection in temporal disaggregation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 343-357.
    14. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    15. David Hendry & Grayham E. Mizon, 2012. "Forecasting from Structural Econometric Models," Economics Series Working Papers 597, University of Oxford, Department of Economics.
    16. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    17. Giacomini, Raffaella & Granger, Clive W.J., 2001. "Aggregationn of Space-Time Processes," University of California at San Diego, Economics Working Paper Series qt77f76455, Department of Economics, UC San Diego.
    18. Hyndman, Rob J. & Ahmed, Roman A. & Athanasopoulos, George & Shang, Han Lin, 2011. "Optimal combination forecasts for hierarchical time series," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2579-2589, September.
    19. Juan de Dios Tena & Antoni Espasa & Gabriel Pino, 2010. "Forecasting Spanish Inflation Using the Maximum Disaggregation Level by Sectors and Geographical Areas," International Regional Science Review, , vol. 33(2), pages 181-204, April.
    20. Han Lin Shang, 2017. "Reconciling Forecasts of Infant Mortality Rates at National and Sub-National Levels: Grouped Time-Series Methods," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 55-84, February.
    21. Frédérick Demers & David Dupuis, 2005. "Forecasting Canadian GDP: Region-Specific versus Countrywide Information," Staff Working Papers 05-31, Bank of Canada.
    22. Senra, Eva & Albacete, Rebeca, 2001. "Forecasting inflation in the european monetary union: a disaggregated approach by countries and by sectors," DES - Working Papers. Statistics and Econometrics. WS ws013723, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. Han Lin Shang & Rob J Hyndman, 2016. "Grouped functional time series forecasting: An application to age-specific mortality rates," Monash Econometrics and Business Statistics Working Papers 4/16, Monash University, Department of Econometrics and Business Statistics.
    24. Jeon, Jooyoung & Panagiotelis, Anastasios & Petropoulos, Fotios, 2019. "Probabilistic forecast reconciliation with applications to wind power and electric load," European Journal of Operational Research, Elsevier, vol. 279(2), pages 364-379.
    25. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    26. George Athanasopoulos & Roman A. Ahmed & Rob J. Hyndman, 2007. "Hierarchical forecasts for Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 12/07, Monash University, Department of Econometrics and Business Statistics, revised Nov 2007.
    27. Li, Han & Hyndman, Rob J., 2021. "Assessing mortality inequality in the U.S.: What can be said about the future?," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 152-162.
    28. Antoni Espasa & Rebeca Albacete, 2007. "Econometric modelling for short-term inflation forecasting in the euro area," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(5), pages 303-316.
    29. Aron, Janine & Muellbauer, John, 2012. "Improving forecasting in an emerging economy, South Africa: Changing trends, long run restrictions and disaggregation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 456-476.
    30. David F. Hendry & Kirstin Hubrich, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 216-227, April.
    31. Jing Zeng, 2015. "Combining Country-Specific Forecasts when Forecasting Euro Area Macroeconomic Aggregates," Working Paper Series of the Department of Economics, University of Konstanz 2015-11, Department of Economics, University of Konstanz.
    32. Janine Aron & John Muellbauer & Coen Pretorius, 2004. "A Framework for Forecasting the Components of the Consumer Price," Development and Comp Systems 0409054, University Library of Munich, Germany.
    33. Marcus P. A. Cobb, 2020. "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, vol. 58(1), pages 287-312, January.
    34. Nikolay P. Pilnik & Igor Pospelov & Ivan P. Stankevich, 2015. "Multiproduct Model Decomposition of Components of Russian GDP," HSE Working papers WP BRP 111/EC/2015, National Research University Higher School of Economics.
    35. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
    36. Hubrich, Kirstin, 2005. "Forecasting euro area inflation: Does aggregating forecasts by HICP component improve forecast accuracy?," International Journal of Forecasting, Elsevier, vol. 21(1), pages 119-136.
    37. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
    38. Zellner, Arnold & Israilevich, Guillermo, 2005. "The Marshallian macroeconomic model: A progress report," International Journal of Forecasting, Elsevier, vol. 21(4), pages 627-645.
    39. Lila, Maurício Franca & Meira, Erick & Cyrino Oliveira, Fernando Luiz, 2022. "Forecasting unemployment in Brazil: A robust reconciliation approach using hierarchical data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    40. Libero Monteforte & Stefano Siviero, 2010. "The economic consequences of euro-area macro-modelling shortcuts," Applied Economics, Taylor & Francis Journals, vol. 42(19), pages 2399-2415.
    41. Robinson Durán & Evelyn Garrido & Carolina Godoy & Juan de Dios Tena, 2012. "Predicción de la inflación en México con modelos desagregados por componente," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 27(1), pages 133-167.
    42. Abouarghoub, Wessam & Nomikos, Nikos K. & Petropoulos, Fotios, 2018. "On reconciling macro and micro energy transport forecasts for strategic decision making in the tanker industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 225-238.
    43. Carson, Richard T. & Cenesizoglu, Tolga & Parker, Roger, 2011. "Forecasting (aggregate) demand for US commercial air travel," International Journal of Forecasting, Elsevier, vol. 27(3), pages 923-941, July.
    44. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
    45. Zotteri, Giulio & Kalchschmidt, Matteo, 2007. "A model for selecting the appropriate level of aggregation in forecasting processes," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 74-83, July.
    46. Garcia-Ferrer, A. & de Juan, A. & Poncela, P., 2006. "Forecasting traffic accidents using disaggregated data," International Journal of Forecasting, Elsevier, vol. 22(2), pages 203-222.
    47. Gloria Gonzalez-Rivera & Javier Arroyo & Carlos Mate, 2011. "Forecasting with Interval and Histogram Data. Some Financial Applications," Working Papers 201438, University of California at Riverside, Department of Economics.
    48. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412.
    49. Zellner, Arnold, 2006. "S. James Press And Bayesian Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 10(5), pages 667-684, November.
    50. Barbara Batóg & Jacek Batóg, 2021. "Regional Government Revenue Forecasting: Risk Factors of Investment Financing," Risks, MDPI, vol. 9(12), pages 1-15, November.
    51. George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Anastasios Panagiotelis, 2023. "Forecast Reconciliation: A Review," Monash Econometrics and Business Statistics Working Papers 8/23, Monash University, Department of Econometrics and Business Statistics.
    52. Li, Han & Li, Hong & Lu, Yang & Panagiotelis, Anastasios, 2019. "A forecast reconciliation approach to cause-of-death mortality modeling," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 122-133.
    53. da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
    54. Li, Han & Chen, Hua, 2024. "Hierarchical mortality forecasting with EVT tails: An application to solvency capital requirement," International Journal of Forecasting, Elsevier, vol. 40(2), pages 549-563.
    55. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
    56. Kim, Kun Ho, 2011. "Density forecasting through disaggregation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 394-412, April.
    57. Paulo M.M. Rodrigues & Nazarii Salish, 2011. "Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns," Working Papers w201128, Banco de Portugal, Economics and Research Department.
    58. Zhang, Keyi & Gençay, Ramazan & Ege Yazgan, M., 2017. "Application of wavelet decomposition in time-series forecasting," Economics Letters, Elsevier, vol. 158(C), pages 41-46.
    59. Cobb, Marcus P A, 2017. "Forecasting Economic Aggregates Using Dynamic Component Grouping," MPRA Paper 81585, University Library of Munich, Germany.
    60. Jing Zeng, 2016. "Combining country-specific forecasts when forecasting Euro area macroeconomic aggregates," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 415-444, May.
    61. Muellbauer, John & Aron, Janine, 2010. "Does aggregating forecasts by CPI component improve inflation forecast accuracy in South Africa?," CEPR Discussion Papers 7895, C.E.P.R. Discussion Papers.
    62. Diogo de Prince & Emerson Fernandes Marçal & Pedro L. Valls Pereira, 2022. "Forecasting Industrial Production Using Its Aggregated and Disaggregated Series or a Combination of Both: Evidence from One Emerging Market Economy," Econometrics, MDPI, vol. 10(2), pages 1-34, June.
    63. Cobb, Marcus P A, 2017. "Aggregate Density Forecasting from Disaggregate Components Using Large VARs," MPRA Paper 76849, University Library of Munich, Germany.
    64. Francisco Dias & Maximiano Pinheiro & António Rua, 2018. "A bottom-up approach for forecasting GDP in a data-rich environment," Applied Economics Letters, Taylor & Francis Journals, vol. 25(10), pages 718-723, June.
    65. Roberto Cerina & Raymond Duch, 2021. "Polling India via regression and post-stratification of non-probability online samples," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-34, November.
    66. Jae Kim & Geoffrey Hewings, 2012. "Integrating the fragmented regional and subregional socioeconomic forecasting and analysis: a spatial regional econometric input–output framework," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(2), pages 485-513, October.
    67. Zotteri, Giulio & Kalchschmidt, Matteo & Caniato, Federico, 2005. "The impact of aggregation level on forecasting performance," International Journal of Production Economics, Elsevier, vol. 93(1), pages 479-491, January.
    68. Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.

  32. James J. Heckman & Justin L. Tobias & Edward Vytlacil, 2000. "Simple Estimators for Treatment Parameters in a Latent Variable Framework with an Application to Estimating the Returns to Schooling," NBER Working Papers 7950, National Bureau of Economic Research, Inc.

    Cited by:

    1. Martin Chalkley & Colin Tilley, 2002. "Treatment Intensity and Provider Remuneration: Dentists in the British National Health Service," Dundee Discussion Papers in Economics 135, Economic Studies, University of Dundee.
    2. Yonatan Eyal, 2010. "Examination of the Empirical Research Environment of Program Evaluation: Methodology and Application," Evaluation Review, , vol. 34(6), pages 455-486, December.
    3. Elías, Víctor & Ruiz Núñez, Fernanda & Cossa, Ricardo & Bravo, David, 2004. "An Econometric Cost-Benefit Analysis of Argentina’s Youth Training Program," IDB Publications (Working Papers) 13053, Inter-American Development Bank.
    4. Claudio Sapelli & Bernardita Vial, 2002. "The Performance of Private and Public Schools in the Chilean Voucher System," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 39(118), pages 423-454.
    5. Hermannsson, Kristinn & Lisenkova, Katerina & Lecca, Patrizio & McGregor, Peter G & Swales, J Kim, 2010. "The Importance of Graduates for the Scottish Economy: A Micro-to-Macro Approach," SIRE Discussion Papers 2010-80, Scottish Institute for Research in Economics (SIRE).
    6. Mizala, Alejandra & Romaguera, Pilar, 2002. "Equity and educational performance," LSE Research Online Documents on Economics 123338, London School of Economics and Political Science, LSE Library.
    7. James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 210-223, October.
    8. Claudio Sapelli & Bernardita Vial, 2003. "Peer Effects and Relative Performance of Voucher Schools in Chile," Documentos de Trabajo 256, Instituto de Economia. Pontificia Universidad Católica de Chile..
    9. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2003. "Measuring Heterogeneity in the Returns to Education in Norway Using Educational Reforms," IZA Discussion Papers 815, Institute of Labor Economics (IZA).
    10. Urquiola, Miguel & Arias, Omar, 2002. "Comments," LSE Research Online Documents on Economics 123137, London School of Economics and Political Science, LSE Library.
    11. Coelli, Michael B. & Green, David A. & Warburton, William P., 2007. "Breaking the cycle? The effect of education on welfare receipt among children of welfare recipients," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1369-1398, August.
    12. Denis Fougère & Bruno Crépon & Thomas Brodaty, 2007. "Les méthodes micro-économétriques d'évaluation et leurs applications aux politiques actives de l'emploi," Économie et Prévision, Programme National Persée, vol. 177(1), pages 93-118.
    13. Hermannsson, Kristinn & Lisenkova, Katerina & Lecca, Patrizio & McGregor, Peter G. & Swales, Kim, 2012. "The system-wide impacts of the external benefits to higher education on the Scottish economy: An exploratory micro-to-macro approach," SIRE Discussion Papers 2012-70, Scottish Institute for Research in Economics (SIRE).
    14. Claudio Sapelli & Bernardita Vial, 2005. "Private vs Public Voucher Schools in Chile: New Evidence on Efficiency and Peer Effects," Documentos de Trabajo 289, Instituto de Economia. Pontificia Universidad Católica de Chile..
    15. Abigail McKnight, 2011. "Estimates of the asset-effect: The search for a causal effect of assets on adult health and employment outcomes," CASE Papers case149, Centre for Analysis of Social Exclusion, LSE.
    16. Kristinn Hermannsson & Katerina Lisenkova & Patrizio Lecca & Peter McGregor & Kim Swales, 2012. "The system-wide impacts of the external benefits to higher education on the Scottish economy: An exploratory “micro-to-macro" approach," Working Papers 1204, University of Strathclyde Business School, Department of Economics.
    17. Calderón-Madrid, Angel & Trejo, Belem, 2002. "The Impact of the Mexican Training Program for Unemployed Workers on Re-employment Dynamics and on Earnings," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A2-1, International Conferences on Panel Data.
    18. M. Li & J. L. Tobias, 2003. "A semiparametric investigation of the school quality-gs relationship," Applied Economics Letters, Taylor & Francis Journals, vol. 10(1), pages 43-45.
    19. Michael Gerfin & Robert E. Leu & Reto Nyffeler, 2003. "Berufliche Weiterbildung in der Schweiz," Diskussionsschriften dp0318, Universitaet Bern, Departement Volkswirtschaft.
    20. Flore Gubert & François Roubaud, 2005. "Analyser l’impact d’un projet de Micro-finance : l’exemple d’ADéFI à Madagascar," Working Papers DT/2005/14, DIAL (Développement, Institutions et Mondialisation).
    21. Fajnzylber, Pablo & Maloney, William F. & Rojas, Gabriel V. Montes, 2006. "Releasing constraints to growth or pushing on a string ? the impact of credit, training, business associations, and taxes on the performance of Mexican micro-firms," Policy Research Working Paper Series 3807, The World Bank.
    22. M. Genius & E. Strazzera, 2003. "The copula approach of sampling selection modelling: an application to the recreational value of forests," Working Paper CRENoS 200308, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    23. Andrén, Thomas & Andrén, Daniela, 2004. "Assessing The Employment Effects Of Vocational Training Using A One-Factor Model," Working Papers in Economics 133, University of Gothenburg, Department of Economics.
    24. Adolfo Sachsida & Mario Jorge C. de Mendonça & Fabio Stallivieri, 2007. "Ex-Convicts Face Multiple Labor Market Punishments: Estimates of Peer-Group and Stigma Effects Using Equations of Returns to Schooling," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 8(3), pages .503-520.
    25. McKnight, Abigail, 2011. "Estimates of the asset-effect: the search for a causal effect of assets on adult health and employment outcomes," LSE Research Online Documents on Economics 43896, London School of Economics and Political Science, LSE Library.
    26. Hirukawa, Masayuki & Prokhorov, Artem, 2018. "Consistent estimation of linear regression models using matched data," Journal of Econometrics, Elsevier, vol. 203(2), pages 344-358.
    27. Alejandra Cattaneo & Rainer Winkelmann, 2005. "Earnings Differentials between German and French speakers in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(II), pages 191-212, June.
    28. Leonardo Fabio Morales & Christian Posso & Luz A. Flórez, 2021. "Heterogeneity in the Returns to Tertiary Education for the Disadvantage Youth: Quality vs. Quantity Analysis," Borradores de Economia 1150, Banco de la Republica de Colombia.
    29. Mark Dusheiko & Hugh Gravelle & Rowena Jacobs, 2004. "The effect of practice budgets on patient waiting times: allowing for selection bias," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 941-958, October.

Articles

  1. Joshua C. C. Chan & Justin L. Tobias, 2015. "Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 650-674, June.
    See citations under working paper version above.
  2. Xiong, Yingge & Tobias, Justin L. & Mannering, Fred L., 2014. "The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 109-128.

    Cited by:

    1. Buddhavarapu, Prasad & Bansal, Prateek & Prozzi, Jorge A., 2021. "A new spatial count data model with time-varying parameters," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 566-586.
    2. Yongji Ma & Jinliang Xu & Chao Gao & Minghao Mu & Guangxun E & Chenwei Gu, 2022. "Review of Research on Road Traffic Operation Risk Prevention and Control," IJERPH, MDPI, vol. 19(19), pages 1-26, September.
    3. Younshik Chung & Jong-Jin Kim, 2023. "Exploring Factors Affecting Crash Injury Severity with Consideration of Secondary Collisions in Freeway Tunnels," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    4. Behram Wali & Asad Khattak & Thomas Karnowski, 2020. "The relationship between driving volatility in time to collision and crash injury severity in a naturalistic driving environment," Papers 2010.04719, arXiv.org.
    5. Fanyu Meng & Pengpeng Xu & Cancan Song & Kun Gao & Zichu Zhou & Lili Yang, 2020. "Influential Factors Associated with Consecutive Crash Severity: A Two-Level Logistic Modeling Approach," IJERPH, MDPI, vol. 17(15), pages 1-16, August.
    6. Wang, Jiawen & Zou, Linzhi & Zhao, Jing & Wang, Xinwei, 2024. "Dynamic capacity drop propagation in incident-affected networks: Traffic state modeling with SIS-CTM," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    7. Dong, Chunjiao & Shao, Chunfu & Clarke, David B. & Nambisan, Shashi S., 2018. "An innovative approach for traffic crash estimation and prediction on accommodating unobserved heterogeneities," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 407-428.
    8. Shuai Yu & Yuanhua Jia & Dongye Sun, 2019. "Identifying Factors that Influence the Patterns of Road Crashes Using Association Rules: A case Study from Wisconsin, United States," Sustainability, MDPI, vol. 11(7), pages 1-14, April.
    9. Laura Eboli & Carmen Forciniti, 2020. "The Severity of Traffic Crashes in Italy: An Explorative Analysis among Different Driving Circumstances," Sustainability, MDPI, vol. 12(3), pages 1-19, January.
    10. Tong Zhu & Zishuo Zhu & Jie Zhang & Chenxuan Yang, 2021. "Electric Bicyclist Injury Severity during Peak Traffic Periods: A Random-Parameters Approach with Heterogeneity in Means and Variances," IJERPH, MDPI, vol. 18(21), pages 1-19, October.
    11. Li, Baibing, 2017. "Stochastic modeling for vehicle platoons (I): Dynamic grouping behavior and online platoon recognition," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 364-377.
    12. Wang, Zhengli & Qi, Xin & Jiang, Hai, 2018. "Estimating the spatiotemporal impact of traffic incidents: An integer programming approach consistent with the propagation of shockwaves," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 356-369.
    13. Zhou, Hanchu & Chang, Fangrong, 2022. "The long-memory temporal dependence of traffic crash fatality for different types of road users," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    14. Ping Zhang & Chenzhu Wang & Fei Chen & Suping Cui & Jianchuan Cheng & Wu Bo, 2022. "A Random-Parameter Negative Binomial Model for Assessing Freeway Crash Frequency by Injury Severity: Daytime versus Nighttime," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    15. Yan, Ying & Zhang, Ying & Yang, Xiangli & Hu, Jin & Tang, Jinjun & Guo, Zhongyin, 2020. "Crash prediction based on random effect negative binomial model considering data heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).

  3. Li, Mingliang & Mumford, Kevin J. & Tobias, Justin L., 2012. "A Bayesian analysis of payday loans and their regulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 205-216.

    Cited by:

    1. Doris Neuberger & Udo Reifner, 2020. "Systemic Usury and the European Consumer Credit Directive," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 89(1), pages 115-132.
    2. Dasgupta, Kabir & Mason, Brenden J., 2020. "The effect of interest rate caps on bankruptcy: Synthetic control evidence from recent payday lending bans," Journal of Banking & Finance, Elsevier, vol. 119(C).
    3. Susan Payne Carter, 2015. "Payday Loan and Pawnshop Usage: The Impact of Allowing Payday Loan Rollovers," Journal of Consumer Affairs, Wiley Blackwell, vol. 49(2), pages 436-456, July.
    4. Alycia Chin & Charles J. Romeo, 2022. "Repeat use of short‐term credit: The case of deposit advance products," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(4), pages 1705-1726, December.
    5. Robert Mayer, 2013. "When and Why Usury Should be Prohibited," Journal of Business Ethics, Springer, vol. 116(3), pages 513-527, September.

  4. Babatunde O. Abidoye & Joseph A. Herriges & Justin L. Tobias, 2012. "Controlling for Observed and Unobserved Site Characteristics in RUM Models of Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1070-1093.
    See citations under working paper version above.
  5. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.

    Cited by:

    1. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    2. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2020. "Multidimensional skills and the returns to schooling: Evidence from an interactive fixed‐effects approach and a linked survey‐administrative data set," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 548-566, August.
    3. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
    4. Mintz, Ofer & Gilbride, Timothy J. & Lenk, Peter & Currim, Imran S., 2021. "The right metrics for marketing-mix decisions," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 32-49.
    5. Mateusz Pipien & Sylwia Roszkowska, 2015. "Returns to skills in Europe – same or different? The empirical importance of the systems of regressions approach," NBP Working Papers 226, Narodowy Bank Polski.
    6. Liana Jacobi & Helga Wagner & Sylvia Frühwirth-Schnatter, 2014. "Bayesian Treatment Effects Models with Variable Selection for Panel Outcomes with an Application to Earnings Effects of Maternity Leave," NRN working papers 2014-12, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    7. Jacobi, Liana & Wagner, Helga & Frühwirth-Schnatter, Sylvia, 2016. "Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave," Journal of Econometrics, Elsevier, vol. 193(1), pages 234-250.

  6. Hedibert F. Lopes & Justin L. Tobias, 2011. "Confronting Prior Convictions: On Issues of Prior Sensitivity and Likelihood Robustness in Bayesian Analysis," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 107-131, September.

    Cited by:

    1. Becher, Michael & Stegmueller, Daniel, 2019. "Cognitive Ability, Union Membership, and Voter Turnout," IAST Working Papers 19-97, Institute for Advanced Study in Toulouse (IAST).
    2. Hedibert F. Lopes & Nicholas G. Polson, 2016. "Particle Learning for Fat-Tailed Distributions," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1666-1691, December.
    3. Paul Ho, 2019. "Global Robust Bayesian Analysis in Large Models," 2019 Meeting Papers 390, Society for Economic Dynamics.
    4. Compare, M. & Baraldi, P. & Bani, I. & Zio, E. & Mc Donnell, D., 2017. "Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 25-40.

  7. Herriges, Joseph & Kling, Catherine & Liu, Chih-Chen & Tobias, Justin, 2010. "What are the consequences of consequentiality?," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 67-81, January.
    See citations under working paper version above.
  8. Herriges, Joseph A. & Phaneuf, Daniel J. & Tobias, Justin L., 2008. "Estimating demand systems when outcomes are correlated counts," Journal of Econometrics, Elsevier, vol. 147(2), pages 282-298, December.
    See citations under working paper version above.
  9. Priya Ranjan & Justin L. Tobias, 2007. "Bayesian inference for the gravity model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 817-838.

    Cited by:

    1. Chengyan Yue & John C. Beghin, 2009. "Tariff Equivalent and Forgone Trade Effects of Prohibitive Technical Barriers to Trade," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 930-941.
    2. Eaton, Derek J.F., 2009. "Trade and Intellectual Property Rights in the Agricultural Seed Sector," 2009 Conference, August 16-22, 2009, Beijing, China 51782, International Association of Agricultural Economists.
    3. Wilfried Koch & James P. LeSage, 2015. "Latent Multilateral Trade Resistance Indices: Theory and Evidence," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(3), pages 264-290, July.
    4. Daniel J. Henderson & Daniel L. Millimet, 2008. "Is gravity linear?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 137-172.
    5. Grégory Corcos & Delphine Irac & Giordano Mion & Thierry Verdier, 2013. "The Determinants of Intrafirm Trade: Evidence from French Firms," PSE-Ecole d'économie de Paris (Postprint) halshs-00879809, HAL.
    6. Peter H. Egger, Maximilian v. Ehrlich, Douglas R. Nelson, 2020. "The trade effects of skilled versus unskilled migration," Diskussionsschriften credresearchpaper31, Universitaet Bern, Departement Volkswirtschaft - CRED.
    7. Peter Congdon, 2010. "Random‐effects models for migration attractivity and retentivity: a Bayesian methodology," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(4), pages 755-774, October.
    8. James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
    9. Oxana Babecká Kucharčuková & Jan Babecký & Martin Raiser, 2012. "Gravity Approach for Modelling International Trade in South-Eastern Europe and the Commonwealth of Independent States: The Role of Geography, Policy and Institutions," Open Economies Review, Springer, vol. 23(2), pages 277-301, April.
    10. Xiong, Bo & Chen, Sixia, 2012. "Estimating Gravity Equation Models in the Presence of Sample Selection and Heteroskedasticity," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124530, Agricultural and Applied Economics Association.
    11. Manfred M. Fischer & James P. LeSage, 2020. "Network dependence in multi-indexed data on international trade flows," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-26, December.
    12. He, Mingyi & Bogomolov, Yuri & Khulbe, Devashish & Sobolevsky, Stanislav, 2023. "Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model," Journal of Transport Geography, Elsevier, vol. 113(C).
    13. Hu, Yushan & Zhang, Penglong, 2021. "Semiparametric estimation of varying trade elasticities in gravity," Economics Letters, Elsevier, vol. 209(C).
    14. Ronaldo Carpio & Meixin Guo, 2021. "Bayesian estimation of the Eurozone currency union effect," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 511-532, August.
    15. Elisa Panzera & Thomas de Graaff & Henri L.F. de Groot, 2021. "European cultural heritage and tourism flows: The magnetic role of superstar World Heritage Sites," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 101-122, February.

  10. Justin Tobias, 2006. "Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 1-40.
    See citations under working paper version above.
  11. Koop, Gary & Tobias, Justin L., 2006. "Semiparametric Bayesian inference in smooth coefficient models," Journal of Econometrics, Elsevier, vol. 134(1), pages 283-315, September.
    See citations under working paper version above.
  12. Bacolod, Marigee P. & Tobias, Justin L., 2006. "Schools, school quality and achievement growth: Evidence from the Philippines," Economics of Education Review, Elsevier, vol. 25(6), pages 619-632, December.

    Cited by:

    1. Winters, Marcus A. & Trivitt, Julie R. & Greene, Jay P., 2010. "The impact of high-stakes testing on student proficiency in low-stakes subjects: Evidence from Florida's elementary science exam," Economics of Education Review, Elsevier, vol. 29(1), pages 138-146, February.
    2. Lawrence Kessler & Murat Munkin, 2015. "Bayesian estimation of panel data fractional response models with endogeneity: an application to standardized test rates," Empirical Economics, Springer, vol. 49(1), pages 81-114, August.
    3. Boccanfuso, Dorothée & Larouche, Alexandre & Trandafir, Mircea, 2015. "Quality of Higher Education and the Labor Market in Developing Countries: Evidence from an Education Reform in Senegal," World Development, Elsevier, vol. 74(C), pages 412-424.
    4. Mezgebo, Taddese, 2008. "“After all, most of the ‘Myth’ has some blurred empirical foundation: determinants of University level performance of students: case study of Rural Development Course covered in 2008 with in Mekelle U," MPRA Paper 17923, University Library of Munich, Germany.
    5. Kohlin, Gunnar & Sills, Erin O. & Pattanayak, Subhrendu K. & Wilfong, Christopher, 2011. "Energy, gender and development: what are the linkages ? where is the evidence ?," Policy Research Working Paper Series 5800, The World Bank.
    6. Sovacool, Benjamin K. & Ryan, Sarah E., 2016. "The geography of energy and education: Leaders, laggards, and lessons for achieving primary and secondary school electrification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 107-123.
    7. Aftab Ahmed Memon & Zhimin Liu, 2019. "Assessment of Sustainable Development of the Performance of Higher Education Credentials in the Transitive Labor Market," Sustainability, MDPI, vol. 11(9), pages 1-14, May.
    8. Pritchett Lant & Sandefur Justin, 2014. "Context Matters for Size: Why External Validity Claims and Development Practice do not Mix," Journal of Globalization and Development, De Gruyter, vol. 4(2), pages 161-197, March.
    9. Paul Glewwe & Ana Cuesta & Booke Krause, 2016. "School Infrastructure and Educational Outcomes: A Literature Review, with Special Reference to Latin America," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2016), pages 95-130, October.
    10. Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2002. "New Evidence about Brown v. Board of Education: The Complex Effects of School Racial Composition on Achievement," NBER Working Papers 8741, National Bureau of Economic Research, Inc.
    11. David Tobón & Germán Darío Valencia Agudelo & Paul Ríos Gallego & John Fredy Bedoya, 2008. "Hierarchical Organization and School Academic Achievement in Medellin: An Analysis from the Educational Production Function," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 68, pages 145-173, Enero-Jun.
    12. Paola Azar & Federico González & Leonel Muinelo-Gallo, 2018. "The efficiency of Uruguayan secondary schools: Evidence based on PISA 2015 data," Documentos de Trabajo (working papers) 18-14, Instituto de Economía - IECON.
    13. Lant Pritchett, Justin Sandefur, 2013. "Context Matters for Size: Why External Validity Claims and Development Practice Don't Mix-Working Paper 336," Working Papers 336, Center for Global Development.

  13. Li Mingliang & Tobias Justin L, 2006. "Bayesian Analysis of Structural Effects in an Ordered Equation System," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-24, December.
    See citations under working paper version above.
  14. Justin L. Tobias & Mingliang Li, 2006. "Calculus attainment and grades received in intermediate economic theory," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 893-896.
    See citations under working paper version above.
  15. Dale J. Poirier & Gary Koop & Justin Tobias, 2005. "Semiparametric Bayesian inference in multiple equation models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 723-747.
    See citations under working paper version above.
  16. Tobias J.L., 2004. "Assessing Assessments of School Performance: The Case of California," The American Statistician, American Statistical Association, vol. 58, pages 55-63, February.
    See citations under working paper version above.
  17. Mingliang Li & Dale J. Poirier & Justin L. Tobias, 2004. "Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 203-225.
    See citations under working paper version above.
  18. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
    See citations under working paper version above.
  19. M. Li & J. L. Tobias, 2003. "A semiparametric investigation of the school quality-gs relationship," Applied Economics Letters, Taylor & Francis Journals, vol. 10(1), pages 43-45.

    Cited by:

    1. Anton Bekkerman & Gregory Gilpin, 2011. "Cost-Effective Hiring in U.S. High Schools: Estimating Optimal Teacher Quantity and Quality Decisions," CAEPR Working Papers 2011-007, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.

  20. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.
    See citations under working paper version above.
  21. James Heckman & Justin L. Tobias & Edward Vytlacil, 2003. "Simple Estimators for Treatment Parameters in a Latent-Variable Framework," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 748-755, August.
    See citations under working paper version above.
  22. Poirier, Dale J & Tobias, Justin L, 2003. "On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(2), pages 258-268, April.
    See citations under working paper version above.
  23. Justin Tobias, 2003. "The effects of cognitive ability and high school quality on college entry decisions: nonparametric estimation of parameters of interest," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 209-215.
    See citations under working paper version above.
  24. Tobias, Justin L., 2002. "Model uncertainty and race and gender heterogeneity in the college entry decision," Economics of Education Review, Elsevier, vol. 21(3), pages 211-219, June.
    See citations under working paper version above.
  25. John DiNardo & Justin L. Tobias, 2001. "Nonparametric Density and Regression Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 11-28, Fall.
    See citations under working paper version above.
  26. Zellner, Arnold & Tobias, Justin, 2001. "Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 121-140, February.
    See citations under working paper version above.
  27. Tobias, Justin L, 2001. "Forecasting Output Growth Rates and Median Output Growth Rates: A Hierarchical Bayesian Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(5), pages 297-314, August.

    Cited by:

    1. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.

Books

  1. Chan,Joshua & Koop,Gary & Poirier,Dale J. & Tobias,Justin L., 2019. "Bayesian Econometric Methods," Cambridge Books, Cambridge University Press, number 9781108437493, January.
    See citations under working paper version above.Sorry, no citations of books recorded.
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