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Bryan S. Graham

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:

    Mentioned in:

    1. Articles for Journal Clubs
      by Liam Delaney in Geary Behaviour Centre on 2010-06-22 22:50:00
    2. Adapting to St. Louis Flood Risk
      by Matthew Kahn in Environmental and Urban Economics on 2016-01-01 22:15:00
    3. How Does Applied Microeconomic Research Accelerate Climate Change Adaptation?
      by Matthew E. Kahn in Environmental and Urban Economics on 2021-05-13 14:39:00
    4. Resposta ao Carlos
      by "O" Anonimo in A Mão Visível on 2010-02-17 12:44:00
    5. Małgorzata Knauff
      by Metablog Obserwatora Finansowego in Obserwator Finansowy on 2009-12-10 17:59:58
    6. H-Index for Journals
      by Francis Diebold in No Hesitations on 2018-03-08 17:47:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Bryan Graham & Jonathan Temple, 2006. "Rich Nations, Poor Nations: How Much Can Multiple Equilibria Explain?," Journal of Economic Growth, Springer, vol. 11(1), pages 5-41, March.

    Mentioned in:

    1. Rich Nations, Poor Nations: How Much Can Multiple Equilibria Explain? (JEG 2006) in ReplicationWiki ()
  2. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.

    Mentioned in:

    1. Inverse Probability Tilting for Moment Condition Models with Missing Data (REStud 2012) in ReplicationWiki ()

Working papers

  1. Stéphane Bonhomme & Kevin Dano & Bryan S. Graham, 2023. "Identification in a Binary Choice Panel Data Model with a Predetermined Covariate," NBER Working Papers 31027, National Bureau of Economic Research, Inc.

    Cited by:

    1. Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2024. "Robust analysis of short panels," IFS Working Papers WCWP01/24, Institute for Fiscal Studies.

  2. Bryan S. Graham & Fengshi Niu & James L. Powell, 2021. "Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression," NBER Working Papers 28548, National Bureau of Economic Research, Inc.

    Cited by:

    1. Konrad Menzel, 2023. "Transfer Estimates for Causal Effects across Heterogeneous Sites," Papers 2305.01435, arXiv.org, revised May 2024.
    2. Graham, Bryan S. & Niu, Fengshi & Powell, James L., 2024. "Kernel density estimation for undirected dyadic data," Journal of Econometrics, Elsevier, vol. 240(2).
    3. Okuno, Akifumi & Yano, Keisuke, 2023. "Dependence of variance on covariate design in nonparametric link regression," Statistics & Probability Letters, Elsevier, vol. 193(C).

  3. Bryan S. Graham & Geert Ridder & Petra Thiemann & Gema Zamarro, 2020. "Teacher-to-classroom assignment and student achievement," Papers 2007.02653, arXiv.org, revised Sep 2020.

    Cited by:

    1. Johnsen, Julian V. & Khoury, Laura, 2024. "Peer Effects in Prison," IZA Discussion Papers 17114, Institute of Labor Economics (IZA).
    2. García-Echalar, Andrés & Poblete, Sebastián & Rau, Tomas, 2024. "Teacher Value-Added and the Test Score Gender Gap," IZA Discussion Papers 17054, Institute of Labor Economics (IZA).
    3. Tom Ahn & Esteban Aucejo & Jonathan James, 2021. "The Importance of Matching Effects for Labor Productivity: Evidence from Teacher-Student Interactions," Working Papers 2106, California Polytechnic State University, Department of Economics.
    4. Aurélien Sallin & Simone Balestra, 2022. "The Earth is Not Flat: A New World of High-Dimensional Peer Effects," Economics of Education Working Paper Series 0189, University of Zurich, Department of Business Administration (IBW).

  4. Andrin Pelican & Bryan S. Graham, 2020. "An optimal test for strategic interaction in social and economic network formation between heterogeneous agents," Papers 2009.00212, arXiv.org, revised May 2022.

    Cited by:

    1. Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," Papers 2307.11857, arXiv.org.
    2. Eric Auerbach, 2022. "Testing for Differences in Stochastic Network Structure," Econometrica, Econometric Society, vol. 90(3), pages 1205-1223, May.
    3. David W. Hughes, 2022. "Estimating Nonlinear Network Data Models with Fixed Effects," Papers 2203.15603, arXiv.org, revised Mar 2023.
    4. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
    5. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.

  5. Bryan S. Graham, 2020. "Sparse Network Asymptotics for Logistic Regression under Possible Misspecification," NBER Working Papers 27962, National Bureau of Economic Research, Inc.

    Cited by:

    1. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    2. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," STICERD - Econometrics Paper Series 617, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    3. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," Papers 2108.04852, arXiv.org, revised Aug 2024.
    4. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    5. Konrad Menzel, 2021. "Bootstrap With Cluster‐Dependence in Two or More Dimensions," Econometrica, Econometric Society, vol. 89(5), pages 2143-2188, September.

  6. Bryan S. Graham & Fengshi Niu & James L. Powell, 2019. "Kernel Density Estimation for Undirected Dyadic Data," Papers 1907.13630, arXiv.org.

    Cited by:

    1. Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
    2. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    3. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
    4. Harold D Chiang & Yukun Ma & Joel Rodrigue & Yuya Sasaki, 2021. "Dyadic double/debiased machine learning for analyzing determinants of free trade agreements," Papers 2110.04365, arXiv.org, revised Dec 2022.
    5. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," STICERD - Econometrics Paper Series 617, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    6. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Candelaria, Luis E., 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," The Warwick Economics Research Paper Series (TWERPS) 1279, University of Warwick, Department of Economics.
    8. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," Papers 2108.04852, arXiv.org, revised Aug 2024.
    9. Harold D. Chiang & Bing Yang Tan, 2020. "Empirical likelihood and uniform convergence rates for dyadic kernel density estimation," Papers 2010.08838, arXiv.org, revised May 2022.
    10. Bryan S. Graham & Fengshi Niu & James L. Powell, 2021. "Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression," NBER Working Papers 28548, National Bureau of Economic Research, Inc.
    11. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.

  7. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.

    Cited by:

    1. Whitney K. Newey & Sami Stouli, 2018. "Heterogenous coefficients, discrete instruments, and identification of treatment effects," CeMMAP working papers CWP66/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
    3. Whitney K. Newey & Sami Stouli, 2020. "Heterogeneous Coefficients, Control Variables, and Identification of Multiple Treatment Effects," Papers 2009.02314, arXiv.org, revised Nov 2021.
    4. Stijn Vansteelandt & Oliver Dukes, 2022. "Assumption‐lean inference for generalised linear model parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 657-685, July.
    5. Whitney K. Newey & Sami Stouli, 2018. "Heterogenous Coefficients, Discrete Instruments, and Identification of Treatment Effects," Papers 1811.09837, arXiv.org.
    6. DiTraglia, Francis J. & García-Jimeno, Camilo & O’Keeffe-O’Donovan, Rossa & Sánchez-Becerra, Alejandro, 2023. "Identifying causal effects in experiments with spillovers and non-compliance," Journal of Econometrics, Elsevier, vol. 235(2), pages 1589-1624.
    7. Rainer Winkelmann, 2023. "Neglected heterogeneity, Simpson’s paradox, and the anatomy of least squares," ECON - Working Papers 426, Department of Economics - University of Zurich, revised Jul 2023.
    8. Mert Demirer & Vasilis Syrgkanis & Greg Lewis & Victor Chernozhukov, 2019. "Semi-Parametric Efficient Policy Learning with Continuous Actions," Papers 1905.10116, arXiv.org, revised Jul 2019.
    9. Ohanisian Alina & Levchenko Nataliia & Shyshkanova Ganna & Abuselidze George & Prykhodko Volodymyr & Banchuk-Petrosova Olena, 2022. "Organic farms are the fundamental basis for the sustainable foreign economic activities of agrarians in Ukraine," Environmental & Socio-economic Studies, Sciendo, vol. 10(2), pages 49-61, June.
    10. Winkelmann Rainer, 2024. "Neglected Heterogeneity, Simpson’s Paradox, and the Anatomy of Least Squares," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 131-144, January.
    11. Alejandro Sanchez-Becerra, 2022. "The Network Propensity Score: Spillovers, Homophily, and Selection into Treatment," Papers 2209.14391, arXiv.org.
    12. Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2020. "Deep Learning for Individual Heterogeneity: An Automatic Inference Framework," Papers 2010.14694, arXiv.org, revised Jul 2021.

  8. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers CWP08/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," Papers 2307.11857, arXiv.org.
    2. Luis E. Candelaria, 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," Papers 2007.05403, arXiv.org, revised Aug 2020.
    3. Patacchini, Eleonora & Battaglini, Marco & Rainone, Edoardo, 2019. "Endogenous Social Connections in Legislatures," CEPR Discussion Papers 13845, C.E.P.R. Discussion Papers.
    4. Jiaying Gu & Roger Koenker, 2021. "Ranking and Selection from Pairwise Comparisons: Empirical Bayes Methods for Citation Analysis," Papers 2112.11064, arXiv.org.
    5. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Post-Print hal-03678886, HAL.
    7. HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
    8. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2024. "MCMC conditional maximum likelihood for the two-way fixed-effects logit," Econometric Reviews, Taylor & Francis Journals, vol. 43(6), pages 379-404, July.
    9. 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.
    10. Liyu Dou & Jakub Kastl & John Lazarev, 2020. "Quantifying Delay Externalities in Airline Networks," Working Papers 2020-65, Princeton University. Economics Department..
    11. Koen Jochmans & Martin Weidner, 2019. "Fixed-effect regressions on network data," CeMMAP working papers CWP16/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    13. Luis Alvarez & Cristine Pinto & Vladimir Ponczek, 2022. "Homophily in preferences or meetings? Identifying and estimating an iterative network formation model," Papers 2201.06694, arXiv.org, revised Mar 2024.
    14. Kojevnikov, Denis & Marmer, Vadim & Song, Kyungchul, 2021. "Limit theorems for network dependent random variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 882-908.
    15. Monica Billio & Roberto Casarin & Matteo Iacopini, 2024. "Bayesian Markov-Switching Tensor Regression for Time-Varying Networks," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(545), pages 109-121, January.
    16. Gao, Wayne Yuan & Li, Ming & Xu, Sheng, 2023. "Logical differencing in dyadic network formation models with nontransferable utilities," Journal of Econometrics, Elsevier, vol. 235(1), pages 302-324.
    17. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    18. Fernando, Garcia Alvarado & Antoine, Mandel, 2022. "The network structure of global tax evasion evidence from the Panama papers," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 660-684.
    19. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    20. Jing Luo & Tour Liu & Qiuping Wang, 2022. "Affiliation weighted networks with a differentially private degree sequence," Statistical Papers, Springer, vol. 63(2), pages 367-395, April.
    21. Ming Li & Zhentao Shi & Yapeng Zheng, 2024. "Estimation and Inference in Dyadic Network Formation Models with Nontransferable Utilities," Papers 2410.23852, arXiv.org.
    22. Junlong Zhao & Xiumin Liu & Hansheng Wang & Chenlei Leng, 2022. "Dimension reduction for covariates in network data [On semidefinite relaxations for the block model]," Biometrika, Biometrika Trust, vol. 109(1), pages 85-102.
    23. Lee, Jiyon, 2018. "A spatial latent class model," Economics Letters, Elsevier, vol. 162(C), pages 62-68.
    24. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    25. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
    26. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    27. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    28. Graham, Bryan S. & Niu, Fengshi & Powell, James L., 2024. "Kernel density estimation for undirected dyadic data," Journal of Econometrics, Elsevier, vol. 240(2).
    29. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    30. Chen, Mingli & Kato, Kengo & Leng, Chenlei, 2019. "Analysis of Networks via the Sparse β-Model," The Warwick Economics Research Paper Series (TWERPS) 1222, University of Warwick, Department of Economics.
    31. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    32. Kim, Jun Sung & Patacchini, Eleonora & Picard, Pierre M. & Zenou, Yves, 2022. "Spatial Interactions," IZA Discussion Papers 15376, Institute of Labor Economics (IZA).
    33. Jason M. Fletcher & Stephen L. Ross & Yuxiu Zhang, 2013. "The Consequences of Friendships: Evidence on the Effect of Social Relationships in School on Academic Achievement," NBER Working Papers 19215, National Bureau of Economic Research, Inc.
    34. Kim, Jun Sung & Patacchini, Eleonora & Picard, Pierre M. & Zenou, Yves, 2017. "Urban Interactions," Working Paper Series 1192, Research Institute of Industrial Economics.
    35. Candelaria, Luis E. & Ura, Takuya, 2023. "Identification and inference of network formation games with misclassified links," Journal of Econometrics, Elsevier, vol. 235(2), pages 862-891.
    36. Chih‐Sheng Hsieh & Xu Lin, 2021. "Social interactions and social preferences in social networks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 165-189, March.
    37. Aristide Houndetoungan, 2024. "Count Data Models with Heterogeneous Peer Effects under Rational Expectations," Papers 2405.17290, arXiv.org.
    38. Valeria Costantini & Valerio Leone Sciabolazza & Elena Paglialunga, 2023. "Network-driven positive externalities in clean energy technology production: the case of energy efficiency in the EU residential sector," The Journal of Technology Transfer, Springer, vol. 48(2), pages 716-748, April.
    39. Geert Ridder & Shuyang Sheng, 2020. "Two-Step Estimation of a Strategic Network Formation Model with Clustering," Papers 2001.03838, arXiv.org, revised Nov 2022.
    40. Chih-Sheng Hsieh & Michael D. Konig & Xiaodong Liu, 2022. "A Structural Model for the Coevolution of Networks and Behavior," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 355-367, May.
    41. Fernando Linardi & Cees Diks & Marco van der Leij & Iuri Lazier, 2018. "Dynamic Interbank Network Analysis Using Latent Space Models," Working Papers Series 487, Central Bank of Brazil, Research Department.
    42. Han, Ruijian & Chen, Kani & Tan, Chunxi, 2020. "Bivariate gamma model," Journal of Multivariate Analysis, Elsevier, vol. 180(C).
    43. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    44. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    45. Shaomin Wu, 2024. "Two-step Estimation of Network Formation Models with Unobserved Heterogeneities and Strategic Interactions," Papers 2404.12581, arXiv.org.
    46. Martin Mugnier, 2022. "Make the Difference! computationally Trivial Estimators for Grouped Fixed Effects Models," Working Papers 2022-07, Center for Research in Economics and Statistics.
    47. Alan Griffith, 2022. "A continuous model of strong and weak ties," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(6), pages 1519-1563, December.
    48. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2023. "Disentangling peer effects in transportation mode choice: The example of active commuting," Post-Print hal-04194873, HAL.
    49. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. Leung, Michael P., 2019. "A weak law for moments of pairwise stable networks," Journal of Econometrics, Elsevier, vol. 210(2), pages 310-326.
    51. David W. Hughes, 2022. "Estimating Nonlinear Network Data Models with Fixed Effects," Papers 2203.15603, arXiv.org, revised Mar 2023.
    52. Mingli Chen & Kengo Kato & Chenlei Leng, 2019. "Analysis of Networks via the Sparse $\beta$-Model," Papers 1908.03152, arXiv.org, revised Dec 2020.
    53. Candelaria, Luis E., 2020. "A Semiparametric Network Formation Model with Unobserved Linear Heterogeneity," The Warwick Economics Research Paper Series (TWERPS) 1279, University of Warwick, Department of Economics.
    54. Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    55. Raúl Duarte & Frederico Finan & Horacio Larreguy & Laura Schechter, 2019. "Brokering Votes With Information Spread Via Social Networks," NBER Working Papers 26241, National Bureau of Economic Research, Inc.
    56. Eric Auerbach, 2019. "Testing for Differences in Stochastic Network Structure," Papers 1903.11117, arXiv.org, revised Nov 2020.
    57. Gualdani, Cristina, 2018. "An Econometric Model of Network Formation with an Application to Board Interlocks between Firms," TSE Working Papers 17-898, Toulouse School of Economics (TSE), revised Jul 2019.
    58. Yuqing Du & Lianqiang Qu & Ting Yan & Yuan Zhang, 2023. "Time‐varying β‐model for dynamic directed networks," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(4), pages 1687-1715, December.
    59. Luisa Corrado & Salvatore Di Novo, 2018. "Estimating Models with Dynamic Network Interactions and Unobserved Heterogeneity," CEIS Research Paper 439, Tor Vergata University, CEIS, revised 06 Nov 2018.
    60. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    61. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    62. Michael P. Leung, 2019. "Inference in Models of Discrete Choice with Social Interactions Using Network Data," Papers 1911.07106, arXiv.org.
    63. Bo E. Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," CeMMAP working papers CWP14/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    64. Ida Johnsson & Hyungsik Roger Moon, 2017. "Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach," Papers 1709.10024, arXiv.org, revised Jul 2019.
    65. Iv'an Fern'andez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-Rank Approximations of Nonseparable Panel Models," Papers 2010.12439, arXiv.org, revised Mar 2021.
    66. Shakibian, Hadi & Charkari, Nasrollah Moghadam, 2018. "Statistical similarity measures for link prediction in heterogeneous complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 248-263.
    67. Brice Romuald Gueyap Kounga, 2023. "Nonparametric Regression with Dyadic Data," Papers 2310.12825, arXiv.org.
    68. Carlo D'Ippoliti, 2021. "“Many‐Citedness”: Citations Measure More Than Just Scientific Quality," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1271-1301, December.
    69. Luis E. Candelaria & Yichong Zhang, 2024. "Robust Inference in Locally Misspecified Bipartite Networks," Papers 2403.13725, arXiv.org.
    70. Mingli Chen & Kengo Kato & Chenlei Leng, 2021. "Analysis of networks via the sparse β‐model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(5), pages 887-910, November.
    71. Juan Nelson Mart'inez Dahbura & Shota Komatsu & Takanori Nishida & Angelo Mele, 2021. "A Structural Model of Business Card Exchange Networks," Papers 2105.12704, arXiv.org, revised Aug 2021.
    72. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    73. Mugnier, Martin & Wang, Ao, 2024. "Fixed Effects Nonlinear Panel Models with Heterogeneous Slopes : Identification and Consistency," The Warwick Economics Research Paper Series (TWERPS) 1531, University of Warwick, Department of Economics.
    74. Michael R. Ward, 2022. "Network engagement from learning friends’ preferences: evidence from a video gaming social network," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1239-1255, September.
    75. Adriana Lleras-Muney & Matthew Miller & Shuyang Sheng & Veronica T. Sovero, 2020. "Party On: The Labor Market Returns to Social Networks in Adolescence," NBER Working Papers 27337, National Bureau of Economic Research, Inc.
    76. Alonso Alfaro-Urena & Paolo Zacchia, 2024. "Matching to Suppliers in the Production Network: an Empirical Framework," CERGE-EI Working Papers wp775, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    77. Martin Mugnier, 2022. "A Simple and Computationally Trivial Estimator for Grouped Fixed Effects Models," Papers 2203.08879, arXiv.org, revised Sep 2024.
    78. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    79. Mugnier, Martin & Wang, Ao, 2022. "Identification and (Fast) Estimation of Large Nonlinear Panel Models with Two-Way Fixed Effects," The Warwick Economics Research Paper Series (TWERPS) 1422, University of Warwick, Department of Economics.
    80. Su, Liju & Qian, Xiaodi & Yan, Ting, 2018. "A note on a network model with degree heterogeneity and homophily," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 27-30.
    81. Arun G. Chandrasekhar & Horacio Larreguy & Juan Pablo Xandri, 2020. "Testing Models of Social Learning on Networks: Evidence From Two Experiments," Econometrica, Econometric Society, vol. 88(1), pages 1-32, January.
    82. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    83. Qiuping Wang & Yuan Zhang & Ting Yan, 2023. "Asymptotic theory in network models with covariates and a growing number of node parameters," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(2), pages 369-392, April.
    84. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
    85. Shujie Ma & Liangjun Su & Yichong Zhang, 2020. "Detecting Latent Communities in Network Formation Models," Papers 2005.03226, arXiv.org, revised Mar 2021.
    86. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
    87. Pellizzari, Michele & De Giorgi, Giacomo & Rodríguez Barraquer, Tomás, 2020. "An Estimable Model of Production Interactions in Endogenous Networks," CEPR Discussion Papers 15461, C.E.P.R. Discussion Papers.
    88. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    89. Junhui Cai & Dan Yang & Wu Zhu & Haipeng Shen & Linda Zhao, 2021. "Network regression and supervised centrality estimation," Papers 2111.12921, arXiv.org.
    90. Michael P. Leung, 2020. "Equilibrium computation in discrete network games," Quantitative Economics, Econometric Society, vol. 11(4), pages 1325-1347, November.
    91. William K. Schwartz & Sonja Petrović & Hemanshu Kaul, 2023. "Longitudinal network models and permutation‐uniform Markov chains," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(3), pages 1201-1231, September.
    92. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    93. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    94. Hossein Alidaee & Eric Auerbach & Michael P. Leung, 2020. "Recovering Network Structure from Aggregated Relational Data using Penalized Regression," Papers 2001.06052, arXiv.org.
    95. Andrin Pelican & Bryan S. Graham, 2020. "An optimal test for strategic interaction in social and economic network formation between heterogeneous agents," Papers 2009.00212, arXiv.org, revised May 2022.
    96. L. Sanna Stephan, 2024. "Semiparametric Estimation of Individual Coefficients in a Dyadic Link Formation Model Lacking Observable Characteristics," Papers 2408.04552, arXiv.org.
    97. St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
    98. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    99. Alejandro Sanchez-Becerra, 2022. "The Network Propensity Score: Spillovers, Homophily, and Selection into Treatment," Papers 2209.14391, arXiv.org.
    100. Zuckerman, David, 2024. "Multidimensional homophily," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 486-513.
    101. Harold D Chiang & Yuya Sasaki, 2023. "On Using The Two-Way Cluster-Robust Standard Errors," Papers 2301.13775, arXiv.org.
    102. Nils Breitmar & Matthew C. Harding & Hanqiao Zhang, 2024. "Analysis of Proximity Informed User Behavior in a Global Online Social Network," Papers 2404.18979, arXiv.org.
    103. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    104. Sebastian Linde, 2019. "The formation of physician patient sharing networks in medicare: Exploring the effect of hospital affiliation," Health Economics, John Wiley & Sons, Ltd., vol. 28(12), pages 1435-1448, December.

  9. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.

    Cited by:

    1. Eric Chyn & Lawrence F. Katz, 2021. "Neighborhoods Matter: Assessing the Evidence for Place Effects," NBER Working Papers 28953, National Bureau of Economic Research, Inc.
    2. Ostermann, Kerstin & Eppelsheimer, Johann & Gläser, Nina & Haller, Peter & Oertel, Martina, 2022. "Geodata in labor market research: trends, potentials and perspectives," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-5.
    3. List, John A. & Momeni, Fatemeh & Zenou, Yves, 2020. "The Social Side of Early Human Capital Formation: Using a Field Experiment to Estimate the Causal Impact of Neighborhoods," IZA Discussion Papers 13966, Institute of Labor Economics (IZA).
    4. Dionissi Aliprantis & Hal Martin & Kristen Tauber, 2020. "What Determines the Success of Housing Mobility Programs?," Working Papers 20-36R, Federal Reserve Bank of Cleveland, revised 19 Oct 2022.
    5. Mohit Agrawal & Joseph G. Altonji & Richard K. Mansfield, 2018. "Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting," NBER Working Papers 25167, National Bureau of Economic Research, Inc.
    6. Bruhin, Adrian & Goette, Lorenz & Haenni, Simon & Jiang, Lingqing, 2020. "Spillovers of prosocial motivation: Evidence from an intervention study on blood donors," Journal of Health Economics, Elsevier, vol. 70(C).
    7. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    8. Dionissi Aliprantis & Hal Martin, 2020. "Neighborhood Sorting Obscures Neighborhood Effects in the Opportunity Atlas," Working Papers 20-37, Federal Reserve Bank of Cleveland.
    9. Oosterbeek, Hessel & Sóvágó, Sándor & van der Klaauw, Bas, 2021. "Preference heterogeneity and school segregation," Journal of Public Economics, Elsevier, vol. 197(C).
    10. Sato, Yasuhiro & Zenou, Yves, 2019. "Assimilation Patterns in Cities," Working Paper Series 1303, Research Institute of Industrial Economics.
    11. Shelly Lundberg, 2023. "Gender Economics: Dead-Ends and New Opportunities," Research in Labor Economics, in: 50th Celebratory Volume, volume 50, pages 151-189, Emerald Group Publishing Limited.
    12. Nagasawa, Kenichi, 2020. "Identification and Estimation of Group-Level Partial Effects," The Warwick Economics Research Paper Series (TWERPS) 1243, University of Warwick, Department of Economics.
    13. Gazze, Ludovica & Persico, Claudia L. & Spirovska, Sandra, 2020. "The Spillover Effects of Pollution: How Exposure to Lead Affects Everyone in the Classroom," IZA Discussion Papers 13133, Institute of Labor Economics (IZA).
    14. Jan Bietenbeck & Natalie Irmert & Linn Mattisson & Felix Weinhardt, 2023. "Autonomous schools, achievement and segregation," CEP Discussion Papers dp1968, Centre for Economic Performance, LSE.
    15. Sadat Reza & Puneet Manchanda & Juin-Kuan Chong, 2021. "Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups," Management Science, INFORMS, vol. 67(8), pages 5070-5105, August.
    16. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    17. Peter Christensen & Ignacio Sarmiento-Barbieri & Christopher Timmins, 2020. "Housing Discrimination and the Toxics Exposure Gap in the United States: Evidence from the Rental Market," NBER Working Papers 26805, National Bureau of Economic Research, Inc.
    18. Jakina Debnam Guzman & Marie Christelle Mabeu & Roland Pongou, 2021. "Identity During a Pandemic: COVID-19 and Ethnic Divisions in the United States," Working Papers 2101E Classification-I14,, University of Ottawa, Department of Economics.
    19. Kutscher, Macarena & Nath, Shanjukta & Urzúa, Sergio, 2023. "Centralized admission systems and school segregation: Evidence from a national reform," Journal of Public Economics, Elsevier, vol. 221(C).
    20. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    21. List, John A. & Momeni, Fatemeh & Zenou, Yves, 2019. "Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures Neighbor Effects," Working Paper Series 1293, Research Institute of Industrial Economics.
    22. Zenou, Yves & List, John & Momeni, Fatemeh, 2019. "Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures," CEPR Discussion Papers 13725, C.E.P.R. Discussion Papers.
    23. Henrik L. Andersen & Liv Osland & Meng Le Zhang, 2023. "Labour market integration of refugees and the importance of the neighbourhood: Norwegian quasi-experimental evidence," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-15, December.
    24. Roca, Jorge De la & Ellen, Ingrid Gould & Steil, Justin, 2018. "Does segregation matter for Latinos?," Journal of Housing Economics, Elsevier, vol. 40(C), pages 129-141.
    25. Li, Yanjiao & Qing, Chen & Guo, Shili & Deng, Xin & Song, Jiahao & Xu, Dingde, 2023. "When my friends and relatives go solar, should I go solar too? —— Evidence from rural Sichuan province, China," Renewable Energy, Elsevier, vol. 203(C), pages 753-762.
    26. Dionissi Aliprantis, 2019. "Racial Inequality, Neighborhood Effects, and Moving to Opportunity," Economic Commentary, Federal Reserve Bank of Cleveland, issue October.
    27. Cristina Bratu & Matz Dahlberg & Madhinee Valeyatheepillay, 2021. "Age at Arrival and Residential Integration," CESifo Working Paper Series 9181, CESifo.
    28. van der Klaauw, Bas & Oosterbeek, Hessel & Sóvágó, Sándor, 2019. "Why are schools segregated? Evidence from the secondary-school match in Amsterdam," CEPR Discussion Papers 13462, C.E.P.R. Discussion Papers.

  10. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers CWP10/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Dahlstrand Rudin, Amanda, 2022. "Defying distance? The provision of services in the digital age," LSE Research Online Documents on Economics 118042, London School of Economics and Political Science, LSE Library.
    2. Amanda Dahlstrand, 2022. "Defying distance? The provision of services in the digital age," CEP Discussion Papers dp1889, Centre for Economic Performance, LSE.

  11. Bryan S. Graham, 2016. "Homophily and transitivity in dynamic network formation," CeMMAP working papers CWP16/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," Papers 2307.11857, arXiv.org.
    2. Lorenzo Ductor & Anja Prummer, 2022. "Gender Homophily, Collaboration, and Output," ThE Papers 22/18, Department of Economic Theory and Economic History of the University of Granada..
    3. HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
    4. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    5. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    7. Nicolas Carayol, 2014. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Post-Print hal-02274740, HAL.
    8. Jackson, Matthew O. & Nei, Stephen & Snowberg, Erik & Yariv, Leeat, 2023. "The Dynamics of Networks and Homophily," CEPR Discussion Papers 17809, C.E.P.R. Discussion Papers.
    9. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    10. Luis Alvarez & Cristine Pinto & Vladimir Ponczek, 2022. "Homophily in preferences or meetings? Identifying and estimating an iterative network formation model," Papers 2201.06694, arXiv.org, revised Mar 2024.
    11. Cui Zhang & Dandan Zhang, 2023. "Spatial Interactions and the Spread of COVID-19: A Network Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 383-405, June.
    12. Gao, Wayne Yuan & Li, Ming & Xu, Sheng, 2023. "Logical differencing in dyadic network formation models with nontransferable utilities," Journal of Econometrics, Elsevier, vol. 235(1), pages 302-324.
    13. Fernando, Garcia Alvarado & Antoine, Mandel, 2022. "The network structure of global tax evasion evidence from the Panama papers," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 660-684.
    14. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    15. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    16. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    17. Marco Battaglini & Forrest W. Crawford & Eleonora Patacchini & Sida Peng, 2020. "A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers," NBER Working Papers 27557, National Bureau of Economic Research, Inc.
    18. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    19. Vincent Boucher, 2017. "The Estimation of Network Formation Games with Positive Spillovers," Cahiers de recherche 1710, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    20. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    21. Boucher, Vincent, 2020. "Equilibrium homophily in networks," European Economic Review, Elsevier, vol. 123(C).
    22. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Leung, Michael P., 2019. "A weak law for moments of pairwise stable networks," Journal of Econometrics, Elsevier, vol. 210(2), pages 310-326.
    24. Fan Zhou & Kunpeng Zhang & Bangying Wu & Yi Yang & Harry Jiannan Wang, 2021. "Unifying Online and Offline Preference for Social Link Prediction," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1400-1418, October.
    25. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    26. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers CWP08/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    28. Tadao Hoshino, 2020. "A Pairwise Strategic Network Formation Model with Group Heterogeneity: With an Application to International Travel," Papers 2012.14886, arXiv.org, revised Feb 2021.
    29. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
    30. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    31. Zuckerman, David, 2024. "Multidimensional homophily," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 486-513.
    32. Nils Breitmar & Matthew C. Harding & Hanqiao Zhang, 2024. "Analysis of Proximity Informed User Behavior in a Global Online Social Network," Papers 2404.18979, arXiv.org.
    33. Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.

  12. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers CWP34/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Younes Ben Zaied & Béchir Ben Lahouel, 2021. "Does environmental CSR performance matter for corporate financial performance? Evidence from panel quantile regression," Economics Bulletin, AccessEcon, vol. 41(3), pages 938-951.
    2. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
    3. Xiao, Zhijie & Xu, Lan, 2019. "What do mean impacts miss? Distributional effects of corporate diversification," Journal of Econometrics, Elsevier, vol. 213(1), pages 92-120.
    4. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    5. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    6. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    7. Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
    8. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Nov 2024.
    9. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    10. Panagiotidis, Theodore & Printzis, Panagiotis, 2021. "Investment and uncertainty: Are large firms different from small ones?," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 302-317.
    11. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    12. Yonggang Ji & Haifang Shi, 2020. "Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-34, October.
    13. Xin Liu, 2024. "A quantile-based nonadditive fixed effects model," Papers 2405.03826, arXiv.org.
    14. Lethiwe Nzama & Thanda Sithole & Sezer Bozkus Kahyaoglu, 2022. "The Impact of Government Effectiveness on Trade and Financial Openness: The Generalized Quantile Panel Regression Approach," JRFM, MDPI, vol. 16(1), pages 1-20, December.
    15. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    16. Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," The Warwick Economics Research Paper Series (TWERPS) 1230, University of Warwick, Department of Economics.
    17. Jennifer Betz & Maximilian Nagl & Daniel Rösch, 2022. "Credit line exposure at default modelling using Bayesian mixed effect quantile regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2035-2072, October.
    18. Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, Institute of Labor Economics (IZA).
    19. BELAÏD, Fateh & Elsayed, Ahmed H. & Omri, Anis, 2021. "Key drivers of renewable energy deployment in the MENA Region: Empirical evidence using panel quantile regression," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 225-238.
    20. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    21. Fateh Belaid & Ahmed H. Elsayed, 2019. "What drives renewable energy production in MENA Region? Investigating the roles of political stability, governance and financial sector," Working Papers 1322, Economic Research Forum, revised 21 Aug 2019.
    22. Jaepil Han, 2020. "Identifying the effects of technology transfer policy using a quantile regression: the case of South Korea," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1690-1717, December.
    23. Sungwon Lee, 2020. "Nonparametric Identification and Estimation of Panel Quantile Models with Sample Selection," Working Papers 2012, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    24. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    25. Asfaw, Solomon & Pallante, Giacomo & Palma, Alessandro, 2020. "Distributional impacts of soil erosion on agricultural productivity and welfare in Malawi," Ecological Economics, Elsevier, vol. 177(C).

  13. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers CWP12/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Pietro Santoleri, 2020. "Innovation and job creation in (high-growth) new firms," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(3), pages 731-756.
    2. Sandra Kendo & Josephine Tchakounte, 2022. "Impact of asset size on performance and outreach using panel quantile regression with non-additive fixed effects," Empirical Economics, Springer, vol. 62(1), pages 65-92, January.
    3. George S. Atsalakis & Elie Bouri & Fotios Pasiouras, 2021. "Natural disasters and economic growth: a quantile on quantile approach," Annals of Operations Research, Springer, vol. 306(1), pages 83-109, November.
    4. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
    5. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    6. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    7. Kendo, Sandra & Tchakounte, Josephine, 2022. "The drivers of the financial integration of microfinance Institutions: Do financial development, agency costs and microfinance performance matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 128-142.
    8. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Borsati, Mattia & Nocera, Silvio & Percoco, Marco, 2022. "Questioning the spatial association between the initial spread of COVID-19 and transit usage in Italy," Research in Transportation Economics, Elsevier, vol. 95(C).
    10. Roula Inglesi-Lotz & Anna Maria Oosthuizen & Sharifa Jumaniyazova & Bekhzod Kuziboev & Jie Liu, 2024. "Exploring the Impact of Women Governance on CO2 Emissions in the European Union and Central Asia," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 639-646, May.
    11. Talan, Amogh & Rao, Amar & Sharma, Gagan Deep & Apostu, Simona-Andreea & Abbas, Shujaat, 2023. "Transition towards clean energy consumption in G7: Can financial sector, ICT and democracy help?," Resources Policy, Elsevier, vol. 82(C).
    12. Wei Feng & Yanrui Wu & Yue Fu, 2021. "Dialect Diversity and Foreign Direct Investment in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(2), pages 49-72, March.
    13. Jorge E. Galán, 2020. "The benefits are at the tail: uncovering the impact of macroprudential policy on growth-at-risk," Working Papers 2007, Banco de España.
    14. Yanay Farja & Avi Tillman & Ori Zax, 2022. "The Gender Gap: Looking at the Entire Distribution," Journal of Interdisciplinary Economics, , vol. 34(1), pages 51-68, January.
    15. Sandra Kendo & Josephine Tchakounte, 2022. "The drivers of the financial integration of microfinance Institutions: Do financial development, agency costs and microfinance performance matter?," Post-Print hal-04529938, HAL.
    16. Kusiyah Kusiyah & Mansoor Mushtaq & Shabbir Ahmed & Ansar Abbas & Mochammad Fahlevi, 2024. "Impact of Urbanization on Environmental Eminence: Moderating Role of Renewable Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 244-257, March.
    17. Klayme, Tania & Gokmenoglu, Korhan K. & Rustamov, Bezhan, 2023. "Economic policy uncertainty, COVID-19 and corporate investment: Evidence from the gold mining industry," Resources Policy, Elsevier, vol. 85(PA).
    18. Yuya Sasaki & Takuya Ura, 2021. "Slow Movers in Panel Data," Papers 2110.12041, arXiv.org.

  14. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers CWP43/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Matthew O. Jackson, 2014. "Networks in the Understanding of Economic Behaviors," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 3-22, Fall.
    2. Koen Jochmans & Martin Weidner, 2019. "Fixed-effect regressions on network data," CeMMAP working papers CWP16/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Bryan S. Graham, 2014. "Methods of Identification in Social Networks," NBER Working Papers 20414, National Bureau of Economic Research, Inc.
    4. Marco Battaglini & Valerio Leone Sciabolazza & Eleonora Patacchini, 2020. "Effectiveness of Connected Legislators," American Journal of Political Science, John Wiley & Sons, vol. 64(4), pages 739-756, October.
    5. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    6. Vincent Boucher, 2014. "Conformism and Self-Selection in Social Networks," Cahiers de recherche 1424, CIRPEE.
    7. Bryan S. Graham, 2016. "Homophily and Transitivity in Dynamic Network Formation," NBER Working Papers 22186, National Bureau of Economic Research, Inc.
    8. Zenou, Yves & picard, pierre & Patacchini, Eleonora, 2015. "Urban Social Structure, Social Capital and Spatial Proximity," CEPR Discussion Papers 10501, C.E.P.R. Discussion Papers.
    9. Harsh Gupta & Mason A. Porter, 2020. "Mixed Logit Models and Network Formation," Papers 2006.16516, arXiv.org, revised Aug 2022.
    10. Koen Jochmans, 2016. "Semiparametric Analysis of Network Formation," SciencePo Working papers hal-03393207, HAL.
    11. González-Díaz, Julio & Palacios-Huerta, Ignacio, 2016. "Cognitive performance in competitive environments: Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 139(C), pages 40-52.
    12. Bryan S. Graham, 2016. "Homophily and transitivity in dynamic network formation," CeMMAP working papers 16/16, Institute for Fiscal Studies.

  15. Bryan S. Graham, 2014. "Methods of Identification in Social Networks," NBER Working Papers 20414, National Bureau of Economic Research, Inc.

    Cited by:

    1. Alexia Gaudeul & Caterina Giannetti, 2015. "Privacy, Trust and Social Network Formation," Jena Economics Research Papers 2015-023, Friedrich-Schiller-University Jena.
    2. 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.
    3. Liyu Dou & Jakub Kastl & John Lazarev, 2020. "Quantifying Delay Externalities in Airline Networks," Working Papers 2020-65, Princeton University. Economics Department..
    4. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Brice Romuald Gueyap Kounga, 2023. "Identification and Estimation of a Semiparametric Logit Model using Network Data," Papers 2310.07151, arXiv.org, revised Jun 2024.
    6. Büchel, Konstantin & Ehrlich, Maximilian v., 2020. "Cities and the structure of social interactions: Evidence from mobile phone data," Journal of Urban Economics, Elsevier, vol. 119(C).
    7. Gao, Wayne Yuan & Li, Ming & Xu, Sheng, 2023. "Logical differencing in dyadic network formation models with nontransferable utilities," Journal of Econometrics, Elsevier, vol. 235(1), pages 302-324.
    8. Candelaria, Luis E. & Ura, Takuya, 2020. "Identification and Inference of Network Formation Games with Misclassified Links," The Warwick Economics Research Paper Series (TWERPS) 1258, University of Warwick, Department of Economics.
    9. Gaudeul, Alexia & Giannetti, Caterina, 2017. "The effect of privacy concerns on social network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 233-253.
    10. Arun Advani & Bansi Malde, 2018. "Credibly Identifying Social Effects: Accounting For Network Formation And Measurement Error," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1016-1044, September.
    11. Peter R. Herman, 2022. "Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 127-179, February.
    12. Áureo de Paula & Seth Richards-Shubik & Elie Tamer, 2016. "Identifying preferences in networks with bounded degree," CeMMAP working papers CWP54/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Wayne Yuan Gao, 2017. "Nonparametric Identification in Index Models of Link Formation," Papers 1710.11230, arXiv.org, revised May 2018.
    14. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    15. Zenou, Yves & Lindquist, Matthew & Sauermann, Jan, 2015. "Network Effects on Worker Productivity," CEPR Discussion Papers 10928, C.E.P.R. Discussion Papers.
    16. Andrew B. Bernard & Andreas Moxnes, 2018. "Networks and trade," CEP Discussion Papers dp1541, Centre for Economic Performance, LSE.
    17. Chen, Mingli & Fernández-Val, Iván & Weidner, Martin, 2021. "Nonlinear factor models for network and panel data," Journal of Econometrics, Elsevier, vol. 220(2), pages 296-324.
    18. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    19. Yann Algan & Quoc-Anh Do & Nicolò Dalvit & Alexis Le Chapelain & Yves Zenou, 2015. "How Social Networks Shape Our Beliefs: A Natural Experiment among Future French Politicians," SciencePo Working papers Main hal-03459820, HAL.
    20. Jin, Jiashun & Ke, Zheng Tracy & Luo, Shengming, 2024. "Mixed membership estimation for social networks," Journal of Econometrics, Elsevier, vol. 239(2).
    21. Candelaria, Luis E. & Ura, Takuya, 2023. "Identification and inference of network formation games with misclassified links," Journal of Econometrics, Elsevier, vol. 235(2), pages 862-891.
    22. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    23. Giovannetti, Andrea & Pipic, Denis, 2023. "Shaking hands with common foes: Clique premium and information diffusion in private equity networks," International Review of Financial Analysis, Elsevier, vol. 86(C).
    24. Bryan S. Graham, 2016. "Homophily and Transitivity in Dynamic Network Formation," NBER Working Papers 22186, National Bureau of Economic Research, Inc.
    25. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    26. Zenou, Yves & picard, pierre & Patacchini, Eleonora, 2015. "Urban Social Structure, Social Capital and Spatial Proximity," CEPR Discussion Papers 10501, C.E.P.R. Discussion Papers.
    27. Fernando Linardi & Cees Diks & Marco van der Leij & Iuri Lazier, 2018. "Dynamic Interbank Network Analysis Using Latent Space Models," Working Papers Series 487, Central Bank of Brazil, Research Department.
    28. Gualdani, Cristina, 2021. "An econometric model of network formation with an application to board interlocks between firms," Journal of Econometrics, Elsevier, vol. 224(2), pages 345-370.
    29. Kummer, Michael, 2014. "Spillovers in networks of user generated content: Pseudo-experimental evidence on Wikipedia," ZEW Discussion Papers 14-132, ZEW - Leibniz Centre for European Economic Research.
    30. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    31. 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.
    32. Vincent Boucher & Bernard Fortin, 2015. "Some Challenges in the Empirics of the Effects of Networks," Cahiers de recherche 1504, CIRPEE.
    33. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    34. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2017. "Heterogeneous peer effects in education," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 190-227.
    35. Heiberger, Raphael H., 2018. "Predicting economic growth with stock networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 102-111.
    36. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    37. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    38. Su, Xiaoning & Liu, Pengfei & Mei, Yingdan & Chen, Jiaru, 2023. "The role of rural cooperatives in the development of rural household photovoltaics: An evolutionary game study," Energy Economics, Elsevier, vol. 126(C).
    39. Firmin Doko Tchatoka & Robert Garrard & Virginie Masson, 2017. "Testing for Stochastic Dominance in Social Networks," School of Economics and Public Policy Working Papers 2017-02, University of Adelaide, School of Economics and Public Policy.
    40. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, vol. 4(3), pages 1-11, September.
    41. Patacchini, Eleonora & Arduini, Tiziano, 2016. "Residential Choices of Young Americans," IZA Discussion Papers 10186, Institute of Labor Economics (IZA).
    42. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers 43/15, Institute for Fiscal Studies.
    43. Harsh Gupta & Mason A. Porter, 2020. "Mixed Logit Models and Network Formation," Papers 2006.16516, arXiv.org, revised Aug 2022.
    44. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
    45. Adamopoulou, Effrosyni & Cao, Yaming & Kaya, Ezgi, 2024. "Gritty Peers," IZA Discussion Papers 17446, Institute of Labor Economics (IZA).
    46. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    47. Zenou, Yves & Del Bello, Carlo & Panebianco, Fabrizio & Verdier, Thierry, 2016. "Cultural Transmission and Socialization Spillovers in Education," CEPR Discussion Papers 11419, C.E.P.R. Discussion Papers.
    48. Biavaschi, Costanza & Giulietti, Corrado & Zenou, Yves, 2022. "Social Networks and (Political) Assimilation in the Age of Mass Migration," GLO Discussion Paper Series 1049, Global Labor Organization (GLO).
    49. Eric Auerbach, 2019. "Testing for Differences in Stochastic Network Structure," Papers 1903.11117, arXiv.org, revised Nov 2020.
    50. Luisa Corrado & Salvatore Di Novo, 2018. "Estimating Models with Dynamic Network Interactions and Unobserved Heterogeneity," CEIS Research Paper 439, Tor Vergata University, CEIS, revised 06 Nov 2018.
    51. Quintana-Domeque, Climent & Wohlfart, Johannes, 2016. "“Relative concerns for consumption at the top”: An intertemporal analysis for the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 172-194.
    52. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers CWP08/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    53. Adamopoulou, Effrosyni & Kaya, Ezgi, 2024. "Beautiful inside and out: Peer characteristics and academic performance," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 507-532.
    54. Zenou, Yves & Lindquist, Matthew, 2019. "Crime and Networks: 10 Policy Lessons," CEPR Discussion Papers 13823, C.E.P.R. Discussion Papers.
    55. Shanxia Sun & Michael S. Delgado, 2024. "Local spatial difference-in-differences models: treatment correlations, response interactions, and expanded local models," Empirical Economics, Springer, vol. 67(5), pages 2077-2107, November.
    56. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    57. Ida Johnsson & Hyungsik Roger Moon, 2017. "Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach," Papers 1709.10024, arXiv.org, revised Jul 2019.
    58. Felipe González, 2018. "Collective Action in Networks: Evidence from the Chilean Student Movement," Documentos de Trabajo 509, Instituto de Economia. Pontificia Universidad Católica de Chile..
    59. De Nicola, Giacomo & Fritz, Cornelius & Mehrl, Marius & Kauermann, Göran, 2023. "Dependence matters: Statistical models to identify the drivers of tie formation in economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 351-363.
    60. , 2023. "Price Competition and Endogenous Product Choice in Networks: Evidence from the US airline Industry," Working Papers 950, Queen Mary University of London, School of Economics and Finance.
    61. Fershtman, Chaim & Persitz, Dotan, 2018. "Social Clubs and Social Networks," CEPR Discussion Papers 12874, C.E.P.R. Discussion Papers.
    62. Adriana Lleras-Muney & Matthew Miller & Shuyang Sheng & Veronica T. Sovero, 2020. "Party On: The Labor Market Returns to Social Networks in Adolescence," NBER Working Papers 27337, National Bureau of Economic Research, Inc.
    63. Bryan S. Graham, 2016. "Homophily and transitivity in dynamic network formation," CeMMAP working papers 16/16, Institute for Fiscal Studies.
    64. Olivier Armantier & Sebastian Doerr & Jon Frost & Andreas Fuster & Kelly Shue, 2024. "Nothing to hide? Gender and age differences in willingness to share data," Swiss Finance Institute Research Paper Series 24-99, Swiss Finance Institute.
    65. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    66. Zenou, Yves, 2014. "Key Players," CEPR Discussion Papers 10277, C.E.P.R. Discussion Papers.
    67. Arun Advani & Bansi Malde, 2018. "Methods to identify linear network models: a review," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-16, December.
    68. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers CWP43/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    69. Gao, Xing & Ladley, Daniel, 2022. "Statistical arbitrage and risk contagion," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    70. Ioannides, Yannis M., 2015. "Neighborhoods to nations via social interactions," Economic Modelling, Elsevier, vol. 48(C), pages 5-15.
    71. Kummer, Michael E. & Saam, Marianne & Halatchliyski, Iassen & Giorgidze, George, 2016. "Centrality and content creation in networks - The case of economic topics on German wikipedia," Information Economics and Policy, Elsevier, vol. 36(C), pages 36-52.
    72. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    73. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    74. Del Bello, Carlo L. & Patacchini, Eleonora & Zenou, Yves, 2015. "Neighborhood Effects in Education," IZA Discussion Papers 8956, Institute of Labor Economics (IZA).

  16. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    2. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    4. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    5. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    6. Zichen Deng & Maarten Lindeboom, 2022. "Early‐life famine exposure, hunger recall, and later‐life health," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 771-787, June.
    7. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    8. Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
    9. Buchinsky, Moshe & Li, Fanghua & Liao, Zhipeng, 2022. "Estimation and inference of semiparametric models using data from several sources," Journal of Econometrics, Elsevier, vol. 226(1), pages 80-103.
    10. Doerr, Annabelle & Strittmatter, Anthony, 2014. "Assignment Mechanisms, Selection Criteria, and the Effectiveness of Training Programs," Economics Working Paper Series 1421, University of St. Gallen, School of Economics and Political Science, revised May 2017.
    11. Annabelle Doerr & Anthony Strittmatter, 2020. "Identifying causal channels of policy reforms with multiple treatments and different types of selection," Papers 2010.05221, arXiv.org.
    12. Yanqin Fan & Hyeonseok Park & Gaoqian Xu, 2023. "Quantifying Distributional Model Risk in Marginal Problems via Optimal Transport," Papers 2307.00779, arXiv.org.
    13. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    14. Guido Imbens & Nathan Kallus & Xiaojie Mao & Yuhao Wang, 2022. "Long-term Causal Inference Under Persistent Confounding via Data Combination," Papers 2202.07234, arXiv.org, revised Aug 2024.
    15. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Papers 2021-04, Centre for Health Economics, Monash University.
    16. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    17. Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
    18. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP61/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Atsushi Inoue & Tong Li & Qi Xu, 2021. "Two Sample Unconditional Quantile Effect," Papers 2105.09445, arXiv.org.
    20. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    21. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, Institute of Labor Economics (IZA).
    22. Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022. "Semiparametrically efficient estimation of the average linear regression function," Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
    23. Deng, Zichen & Lindeboom, Maarten, 2021. "Early-Life Famine Exposure, Hunger Recall and Later-Life Health," IZA Discussion Papers 14487, Institute of Labor Economics (IZA).
    24. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    25. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    26. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
    27. Li, Wei & Luo, Shanshan & Xu, Wangli, 2024. "Calibrated regression estimation using empirical likelihood under data fusion," Computational Statistics & Data Analysis, Elsevier, vol. 190(C).
    28. Susan Athey & Raj Chetty & Guido W. Imbens & Hyunseung Kang, 2019. "The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely," NBER Working Papers 26463, National Bureau of Economic Research, Inc.
    29. Karun Adusumilli & Taisuke Otsu & Chen Qiu, 2020. "Reweighted nonparametric likelihood inference for linear functionals," STICERD - Econometrics Paper Series 614, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    30. Adusumilli, Karun & Otsu, Taisuke & Qiu, Chen, 2023. "Reweighted nonparametric likelihood inference for linear functionals," LSE Research Online Documents on Economics 120198, London School of Economics and Political Science, LSE Library.
    31. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326, arXiv.org, revised Aug 2024.
    32. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    33. Karun Adusumilli & Taisuke Otsu, 2018. "Likelihood ratio inference for missing data models," STICERD - Econometrics Paper Series 599, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

  17. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2010. "Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach," NBER Working Papers 16499, National Bureau of Economic Research, Inc.

    Cited by:

    1. Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects," IZA Discussion Papers 10648, Institute of Labor Economics (IZA).
    2. Ulrike Unterhofer, 2022. "Peer Effects in Labor Market Training," Papers 2211.12366, arXiv.org, revised Jun 2023.
    3. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    4. Alan Andre Borges da Costa & Sergio Pinheiro Firpo, 2018. "An analysis of the distributive effects of public policies and their spillovers," Working Papers, Department of Economics 2018_06, University of São Paulo (FEA-USP).
    5. Buhai, I. Sebastian & van der Leij, Marco J., 2023. "A Social Network Analysis of Occupational Segregation," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    6. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
    7. Thiemann, Petra, 2017. "The Persistent Effects of Short-Term Peer Groups in Higher Education," IZA Discussion Papers 11024, Institute of Labor Economics (IZA).
    8. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    9. Brian Krauth, 2020. "Peers as treatments," Discussion Papers dp20-08, Department of Economics, Simon Fraser University.
    10. Jonas Hjort, 2013. "Ethnic Divisions and Production in Firms," CESifo Working Paper Series 4449, CESifo.
    11. Antonio Ciccone & Walter Garcia-Fontes, 2014. "Gender peer effects in school, a birth cohort approach," Economics Working Papers 1424, Department of Economics and Business, Universitat Pompeu Fabra.
    12. D’Haultfoeuille, Xavier & Rathelot, Roland, 2016. "Measuring Segregation on Small Units: A Partial Identification Analysis," CAGE Online Working Paper Series 291, Competitive Advantage in the Global Economy (CAGE).
    13. Kasy, Maximilian & Lehner, Lukas, 2023. "Employing the Unemployed of Marienthal: Evaluation of a Guaranteed Job Program," SocArXiv cd25u, Center for Open Science.
    14. Maximilian Kasy & Alexander Teytelboym, 2023. "Matching with semi-bandits," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 45-66.
    15. Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022. "Semiparametrically efficient estimation of the average linear regression function," Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
    16. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Jul 2022.
    18. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    19. Maximilian Kasy & Alexander Teytelboym, 2020. "Adaptive Combinatorial Allocation," Papers 2011.02330, arXiv.org.
    20. Pål Schøne & Kristine von Simson & Marte Strøm, 2020. "Peer gender and educational choices," Empirical Economics, Springer, vol. 59(4), pages 1763-1797, October.
    21. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
    22. Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2017. "Optimal Design of Experiments in the Presence of Interference*, Second Version," PIER Working Paper Archive 16-025, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 30 Nov 2017.
    23. Aurélien Sallin & Simone Balestra, 2022. "The Earth is Not Flat: A New World of High-Dimensional Peer Effects," Economics of Education Working Paper Series 0189, University of Zurich, Department of Business Administration (IBW).
    24. Elizabeth L. Ogburn & Ilya Shpitser & Youjin Lee, 2020. "Causal inference, social networks and chain graphs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1659-1676, October.
    25. Weinberg, Bruce A., 2013. "Group design with endogenous associations," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 411-421.
    26. van der Laan Mark J. & Petersen Maya & Zheng Wenjing, 2013. "Estimating the Effect of a Community-Based Intervention with Two Communities," Journal of Causal Inference, De Gruyter, vol. 1(1), pages 83-106, June.

  18. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2009. "Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis," NBER Working Papers 14860, National Bureau of Economic Research, Inc.

    Cited by:

    1. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    2. Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.
    3. Achyuta Adhvaryu & Vittorio Bassi & Anant Nyshadham & Jorge A. Tamayo, 2020. "No Line Left Behind: Assortative Matching Inside the Firm," NBER Working Papers 27006, National Bureau of Economic Research, Inc.
    4. Oosterbeek, H. & Ewijk, R. van, 2010. "Gender peer effects in university: Evidence from a randomized experiment," Working Papers 35, Top Institute for Evidence Based Education Research.
    5. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP31/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Bandyopadhyay, Siddhartha & Cabrales, Antonio, 2020. "Pricing group membership," MPRA Paper 102255, University Library of Munich, Germany.
    7. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    8. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
    9. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    10. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    11. Magdalena Bennett & Peter Bergman, 2021. "Better Together? Social Networks in Truancy and the Targeting of Treatment," Journal of Labor Economics, University of Chicago Press, vol. 39(1), pages 1-36.
    12. Antonio Ciccone & Walter Garcia-Fontes, 2014. "Gender peer effects in school, a birth cohort approach," Economics Working Papers 1424, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Tarun Jain & Nishtha Langer, 2019. "Does Whom You Know Matter? Unraveling The Influence Of Peers' Network Attributes On Academic Performance," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 141-161, January.
    14. Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Eric Auerbach & Yong Cai, 2022. "Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices," Papers 2205.01246, arXiv.org, revised Oct 2022.
    16. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    17. Fairlie, Robert W. & Hoffmann, Florian & Oreopoulos, Philip, 2011. "A Community College Instructor like Me: Race and Ethnicity Interactions in the Classroom," CLSSRN working papers clsrn_admin-2011-27, Vancouver School of Economics, revised 27 Oct 2011.
    18. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.
    20. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    21. Yokoo, Hide-Fumi & Harada, Tetsuya, 2023. "What makes green persuasion effective? Evidence from a community-financed sanitation program in Indonesia," Resource and Energy Economics, Elsevier, vol. 73(C).
    22. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    23. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    24. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2017. "Non-separable Models with High-dimensional Data," Economics and Statistics Working Papers 15-2017, Singapore Management University, School of Economics.
    25. Zhong, Xiaohan & Zhu, Lin, 2021. "The medium-run efficiency consequences of unfair school matching: Evidence from Chinese college admissions," Journal of Econometrics, Elsevier, vol. 224(2), pages 271-285.
    26. Scott E. Carrell & Bruce I. Sacerdote & James E. West, 2011. "From Natural Variation to Optimal Policy? The Lucas Critique Meets Peer Effects," NBER Working Papers 16865, National Bureau of Economic Research, Inc.
    27. Taehoon Kim & Jacob Schwartz & Kyungchul Song & Yoon-Jae Whang, 2019. "Monte Carlo Inference on Two-Sided Matching Models," Econometrics, MDPI, vol. 7(1), pages 1-15, March.
    28. Frölich, Markus & Michaelowa, Katharina, 2011. "Peer effects and textbooks in African primary education," Labour Economics, Elsevier, vol. 18(4), pages 474-486, August.

  19. Bryan S. Graham & James Powell, 2008. "Identification and Estimation of 'Irregular' Correlated Random Coefficient Models," NBER Working Papers 14469, National Bureau of Economic Research, Inc.

    Cited by:

    1. Hoderlein, Stefan & White, Halbert, 2012. "Nonparametric identification in nonseparable panel data models with generalized fixed effects," Journal of Econometrics, Elsevier, vol. 168(2), pages 300-314.
    2. Stefan Hoderlein & Yuya Sasaki, 2011. "On the role of time in nonseparable panel data models," CeMMAP working papers CWP15/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2009. "Identification and estimation of marginal effects in nonlinear panel models," CeMMAP working papers CWP05/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Stefan Hoderlein & Robert Sherman, 2012. "Identification and estimation in a correlated random coefficients binary response model," CeMMAP working papers CWP42/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Manuel Arellano & Stéphane Bonhomme, 2012. "Identifying Distributional Characteristics in Random Coefficients Panel Data Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 987-1020.
    6. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.
    7. Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  20. Bryan S. Graham, 2008. "Efficiency bounds for missing data models with semiparametric restrictions," NBER Working Papers 14376, National Bureau of Economic Research, Inc.

    Cited by:

    1. Saraswata Chaudhuriy & David T. Frazierz & Eric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
    2. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    3. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised Aug 2020.
    4. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    5. Minji Bang & Wayne Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," NBER Working Papers 28436, National Bureau of Economic Research, Inc.
    6. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    7. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
    8. Yuya Sasaki & Takuya Ura & Yichong Zhang, 2022. "Unconditional quantile regression with high‐dimensional data," Quantitative Economics, Econometric Society, vol. 13(3), pages 955-978, July.
    9. M. Hristache & V. Patilea, 2017. "Conditional moment models with data missing at random," Biometrika, Biometrika Trust, vol. 104(3), pages 735-742.
    10. Victor Chernozhukov & Vira Semenova, 2018. "Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions," CeMMAP working papers CWP40/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Hristache, Marian & Patilea, Valentin, 2021. "Equivalent models for observables under the assumption of missing at random," Econometrics and Statistics, Elsevier, vol. 20(C), pages 153-165.
    12. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
    13. Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022. "Semiparametrically efficient estimation of the average linear regression function," Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
    14. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Heng Chen & Marie-Hélène Felt & Christopher Henry, 2018. "2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation," Technical Reports 114, Bank of Canada.
    16. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
    17. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    18. Ying-Ying Lee, 2015. "Efficient propensity score regression estimators of multi-valued treatment effects for the treated," Economics Series Working Papers 738, University of Oxford, Department of Economics.
    19. Michael Zimmert, 2018. "Efficient Difference-in-Differences Estimation with High-Dimensional Common Trend Confounding," Papers 1809.01643, arXiv.org, revised Aug 2020.
    20. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.
    21. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    22. Denis Nekipelov & Vira Semenova & Vasilis Syrgkanis, 2018. "Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models," Papers 1806.04823, arXiv.org, revised Sep 2021.
    23. Karun Adusumilli & Taisuke Otsu & Chen Qiu, 2020. "Reweighted nonparametric likelihood inference for linear functionals," STICERD - Econometrics Paper Series 614, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    24. Thomas MaCurdy & Xiaohong Chen & Han Hong, 2011. "Flexible Estimation of Treatment Effect Parameters," American Economic Review, American Economic Association, vol. 101(3), pages 544-551, May.
    25. Adusumilli, Karun & Otsu, Taisuke & Qiu, Chen, 2023. "Reweighted nonparametric likelihood inference for linear functionals," LSE Research Online Documents on Economics 120198, London School of Economics and Political Science, LSE Library.
    26. Karun Adusumilli & Taisuke Otsu, 2018. "Likelihood ratio inference for missing data models," STICERD - Econometrics Paper Series 599, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    27. Victor Chernozhukov & Denis Nekipelov & Vira Semenova & Vasilis Syrgkanis, 2018. "Plug-in regularized estimation of high dimensional parameters in nonlinear semiparametric models," CeMMAP working papers CWP41/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  21. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2008. "Inverse Probability Tilting for Moment Condition Models with Missing Data," NBER Working Papers 13981, National Bureau of Economic Research, Inc.

    Cited by:

    1. Saraswata Chaudhuriy & David T. Frazierz & Eric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
    2. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    3. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Toru Kitagawa & Chris Muris, 2015. "Model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP46/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    6. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    7. Bryan S. Graham & Keisuke Hirano, 2011. "Robustness to Parametric Assumptions in Missing Data Models," American Economic Review, American Economic Association, vol. 101(3), pages 538-543, May.
    8. Sloczynski, Tymon & Wooldridge, Jeffrey M., 2014. "A General Double Robustness Result for Estimating Average Treatment Effects," IZA Discussion Papers 8084, Institute of Labor Economics (IZA).
    9. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    10. Zichen Deng & Maarten Lindeboom, 2022. "Early‐life famine exposure, hunger recall, and later‐life health," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 771-787, June.
    11. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    12. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    13. Samia FERHAT, 2022. "The impact of university openings on labor market outcomes," THEMA Working Papers 2022-18, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    14. Michael Lechner & Jana Mareckova, 2024. "Comprehensive Causal Machine Learning," Papers 2405.10198, arXiv.org.
    15. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    16. Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
    17. Tymon Sloczynski & Derya Uysal & Jeffrey Wooldridge, 2023. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Rationality and Competition Discussion Paper Series 424, CRC TRR 190 Rationality and Competition.
    18. Bazzi, Samuel & Sumarto, Sudarno & Suryahadi, Asep, 2013. "It's All in the Timing:Household Expenditure and Labor Supply Responses to Unconditional Cash Transfers," MPRA Paper 57892, University Library of Munich, Germany, revised 31 Nov 2013.
    19. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Yimin Dai & Ying Yan, 2024. "Mahalanobis balancing: A multivariate perspective on approximate covariate balancing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 51(4), pages 1450-1471, December.
    21. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
    22. Òscar Jordà & Alan M. Taylor, 2013. "The Time for Austerity: Estimating the Average Treatment Effect of Fiscal Policy," Working Paper Series 2013-25, Federal Reserve Bank of San Francisco.
    23. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
    24. Sean Yiu & Li Su, 2018. "Covariate association eliminating weights: a unified weighting framework for causal effect estimation," Biometrika, Biometrika Trust, vol. 105(3), pages 709-722.
    25. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    26. Christopher R. Bollinger & Barry T. Hirsch, 2013. "Is Earnings Nonresponse Ignorable?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 407-416, May.
    27. Filomena, Mattia & Picchio, Matteo, 2023. "You'll Never Walk Alone: Unemployment, Social Networks and Leisure Activities," IZA Discussion Papers 16579, Institute of Labor Economics (IZA).
    28. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    29. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Papers 2021-04, Centre for Health Economics, Monash University.
    30. Pierre Chausse & George Luta, 2017. "Casual Inference using Generalized Empirical Likelihood Methods," Working Papers 1707, University of Waterloo, Department of Economics, revised Dec 2017.
    31. Michael L. Anderson, 2017. "The Benefits of College Athletic Success: An Application of the Propensity Score Design," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 119-134, March.
    32. Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
    33. Carlos A. Flores & Oscar A. Mitnik, 2011. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," Working Papers 2011-10, University of Miami, Department of Economics.
    34. Sean Yiu & Li Su, 2022. "Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models," Biometrics, The International Biometric Society, vol. 78(1), pages 115-127, March.
    35. Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
    36. Knaus, Michael C. & Lechner, Michael & Reimers, Anne K., 2020. "For better or worse? – The effects of physical education on child development," Labour Economics, Elsevier, vol. 67(C).
    37. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    38. Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series 411, Competitive Advantage in the Global Economy (CAGE).
    39. Firpo, Sergio Pinheiro & Pinto, Rafael de Carvalho Cayres, 2012. "Combining Strategies for the Estimation of Treatment Effects," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(1), March.
    40. Yuya Sasaki & Takuya Ura & Yichong Zhang, 2022. "Unconditional quantile regression with high‐dimensional data," Quantitative Economics, Econometric Society, vol. 13(3), pages 955-978, July.
    41. Toru Kitagawa & Chris Muris, 2013. "Covariate selection and model averaging in semiparametric estimation of treatment effects," CeMMAP working papers CWP61/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    42. Victor Chernozhukov & Vira Semenova, 2018. "Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions," CeMMAP working papers CWP40/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Hristache, Marian & Patilea, Valentin, 2021. "Equivalent models for observables under the assumption of missing at random," Econometrics and Statistics, Elsevier, vol. 20(C), pages 153-165.
    44. Kostas Bimpikis & Wedad J. Elmaghraby & Ken Moon & Wenchang Zhang, 2020. "Managing Market Thickness in Online Business-to-Business Markets," Management Science, INFORMS, vol. 66(12), pages 5783-5822, December.
    45. Hao Cheng & Ying Wei, 2018. "A fast imputation algorithm in quantile regression," Computational Statistics, Springer, vol. 33(4), pages 1589-1603, December.
    46. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    47. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    48. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva, 2016. "Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 61-83.
    49. Amilcar Velez, 2024. "On the Asymptotic Properties of Debiased Machine Learning Estimators," Papers 2411.01864, arXiv.org.
    50. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2015. "The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation," IZA Discussion Papers 8756, Institute of Labor Economics (IZA).
    51. Kwun Chuen Gary Chan & Sheung Chi Phillip Yam & Zheng Zhang, 2016. "Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 673-700, June.
    52. Chaudhuri, Saraswata & Frazier, David T. & Renault, Eric, 2018. "Indirect Inference with endogenously missing exogenous variables," Journal of Econometrics, Elsevier, vol. 205(1), pages 55-75.
    53. Tommaso Manfè & Luca Nunziata, 2023. "Difference-In-Difference Design With Repeated Cross-Sections Under Compositional Changes: a Monte-Carlo Evaluation of Alternative Approaches," "Marco Fanno" Working Papers 0305, Dipartimento di Scienze Economiche "Marco Fanno".
    54. Fan, Yanqin & Shi, Xuetao & Tao, Jing, 2023. "Partial identification and inference in moment models with incomplete data," Journal of Econometrics, Elsevier, vol. 235(2), pages 418-443.
    55. Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022. "Semiparametrically efficient estimation of the average linear regression function," Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
    56. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
    57. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference In Differences," NBER Working Papers 25532, National Bureau of Economic Research, Inc.
    58. Deng, Zichen & Lindeboom, Maarten, 2021. "Early-Life Famine Exposure, Hunger Recall and Later-Life Health," IZA Discussion Papers 14487, Institute of Labor Economics (IZA).
    59. Kosuke Imai & Marc Ratkovic, 2015. "Robust Estimation of Inverse Probability Weights for Marginal Structural Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1013-1023, September.
    60. Asep Suryahadi & Samuel Bazzi & Sudarno Sumarto, "undated". "Intinya Penentuan Waktu: Respons Belanja dan Suplai Kerja Rumah Tangga terhadap Bantuan Langsung Tunai," Working Papers 3610, Communications Section.
    61. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    62. He, Xin & Mao, Xiaojun & Wang, Zhonglei, 2024. "Nonparametric augmented probability weighting with sparsity," Computational Statistics & Data Analysis, Elsevier, vol. 191(C).
    63. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.
    64. Denisova-Schmidt, Elena & Huber, Martin & Prytula, Yaroslav, 2015. "An experimental evaluation of an anti-corruption intervention among Ukrainian university students," FSES Working Papers 462, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    65. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
    66. Rothe, Christoph & Firpo, Sergio, 2013. "Semiparametric Estimation and Inference Using Doubly Robust Moment Conditions," IZA Discussion Papers 7564, Institute of Labor Economics (IZA).
    67. Denis Heng Yan Leung & Ken Yamada & Biao Zhang, 2015. "Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 155-179, March.
    68. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    69. Marianne Bl'ehaut & Xavier D'Haultfoeuille & J'er'emy L'Hour & Alexandre B. Tsybakov, 2020. "An alternative to synthetic control for models with many covariates under sparsity," Papers 2005.12225, arXiv.org, revised Jun 2021.
    70. Yukitoshi Matsushita & Taisuke Otsu & Keisuke Takahata, 2022. "Estimating density ratio of marginals to joint: Applications to causal inference," STICERD - Econometrics Paper Series 619, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    71. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2016. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," IZA Discussion Papers 9706, Institute of Labor Economics (IZA).
    72. Yang Ning & Sida Peng & Jing Tao, 2020. "Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data," Papers 2009.03151, arXiv.org.
    73. Dmitry Arkhangelsky & David Hirshberg, 2023. "Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables," Papers 2311.13575, arXiv.org, revised Dec 2023.
    74. Karun Adusumilli & Taisuke Otsu & Chen Qiu, 2020. "Reweighted nonparametric likelihood inference for linear functionals," STICERD - Econometrics Paper Series 614, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    75. Adusumilli, Karun & Otsu, Taisuke & Qiu, Chen, 2023. "Reweighted nonparametric likelihood inference for linear functionals," LSE Research Online Documents on Economics 120198, London School of Economics and Political Science, LSE Library.
    76. Susan Athey & Raj Chetty & Guido Imbens & Hyunseung Kang, 2016. "Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index," Papers 1603.09326, arXiv.org, revised Aug 2024.
    77. Nikolay Doudchenko & Guido W. Imbens, 2016. "Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis," NBER Working Papers 22791, National Bureau of Economic Research, Inc.
    78. Karun Adusumilli & Taisuke Otsu, 2018. "Likelihood ratio inference for missing data models," STICERD - Econometrics Paper Series 599, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    79. Bazzi, Samuel & Sumarto, Sudarno & Suryahadi, Asep, 2015. "It's all in the timing: Cash transfers and consumption smoothing in a developing country," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 267-288.
    80. Phillip Heiler, 2020. "Efficient Covariate Balancing for the Local Average Treatment Effect," Papers 2007.04346, arXiv.org.
    81. Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.

  22. David E. Bloom & David Canning & Bryan Graham, 2002. "Longevity and Life Cycle Savings," NBER Working Papers 8808, National Bureau of Economic Research, Inc.

    Cited by:

    1. DEDRY, Antoine & ONDER, Arun & PESTIEAU, Pierre, 2014. "Aging, social security design and capital accumulation," LIDAM Discussion Papers CORE 2014023, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Jack, William & Lewis, Maureen, 2009. "Health investments and economic growth : macroeconomic evidence and microeconomic foundations," Policy Research Working Paper Series 4877, The World Bank.
    3. Chen, Brian K. & Jalal, Hawre & Hashimoto, Hideki & Suen, Sze-chuan & Eggleston, Karen & Hurley, Michael & Schoemaker, Lena & Bhattacharya, Jay, 2016. "Forecasting trends in disability in a super-aging society: Adapting the Future Elderly Model to Japan," The Journal of the Economics of Ageing, Elsevier, vol. 8(C), pages 42-51.
    4. Meng-Na Xu & Ming-Lin Wang, 2015. "Individual perception of accessible social capital and attitude to thrift," Review of Economics of the Household, Springer, vol. 13(3), pages 487-500, September.
    5. Malmberg, Bo & Lindh, Thomas, 2004. "Demographically based global income forecasts up to the year 2050," Arbetsrapport 2004:7, Institute for Futures Studies.
    6. Narayan Sethi & Saileja Mohanty & Aurolipsa Das & Malayaranjan Sahoo, 2024. "Health Expenditure and Economic Growth Nexus: Empirical Evidence from South Asian Countries," Global Business Review, International Management Institute, vol. 25(2_suppl), pages 229-243, April.
    7. Gehringer, Agnieszka & Prettner, Klaus, 2014. "Longevity and technological change," ECON WPS - Working Papers in Economic Theory and Policy 01/2014, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    8. Kárpáti, D.;, 2022. "Household Finance and Life-Cycle Economic Decisions under the Shadow of Cancer," Health, Econometrics and Data Group (HEDG) Working Papers 22/16, HEDG, c/o Department of Economics, University of York.
    9. Milanez Ana, 2020. "Workforce Ageing and Labour Productivity Dynamics," Naše gospodarstvo/Our economy, Sciendo, vol. 66(3), pages 1-13, September.
    10. Lazuka, Volha, 2017. "The lasting health and income effects of public health formation in Sweden," Lund Papers in Economic History 153, Lund University, Department of Economic History.
    11. Frankovic, Ivan & Kuhn, Michael & Wrzaczek, Stefan, 2017. "Medical progress, demand for health care, and economic performance," ECON WPS - Working Papers in Economic Theory and Policy 08/2017, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    12. Rainer Franz Kotschy, 2021. "Health Improvements Impact Income Inequality," CESifo Working Paper Series 9429, CESifo.
    13. K Blackburn & G P Cipriani, 2002. "Intergenerational Transfers and Demographic Transition," Centre for Growth and Business Cycle Research Discussion Paper Series 14, Economics, The University of Manchester.
    14. Eytan Sheshinski, 2005. "Longevity and Aggregate Savings," Discussion Paper Series dp403, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    15. David E. Bloom & David Canning & Rainer Kotschy & Klaus Prettner & Johannes Schünemann & Rainer Franz Kotschy, 2022. "Health and Economic Growth: Reconciling the Micro and Macro Evidence," CESifo Working Paper Series 9806, CESifo.
    16. Mariano Kulish & Kathryn Smith & Christopher Kent, 2006. "Ageing, Retirement and Savings: A General Equilibrium Analysis," RBA Research Discussion Papers rdp2006-06, Reserve Bank of Australia.
    17. Baldanzi, Annarita & Prettner, Klaus & Tscheuschner, Paul, 2017. "Longevity-induced vertical innovation and the tradeoff between life and growth," Hohenheim Discussion Papers in Business, Economics and Social Sciences 31-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    18. David E. Bloom & David Canning & Bryan Graham, 2003. "Longevity and Life‐cycle Savings," Scandinavian Journal of Economics, Wiley Blackwell, vol. 105(3), pages 319-338, September.
    19. Bloom, David E. & Kuhn, Michael & Prettner, Klaus, 2018. "Health and Economic Growth," IZA Discussion Papers 11939, Institute of Labor Economics (IZA).
    20. Mann, Katja & Davenport, Margaret, 2016. "Demography, Capital Flows and Asset Allocation over the Life-cycle," VfS Annual Conference 2016 (Augsburg): Demographic Change 145948, Verein für Socialpolitik / German Economic Association.
    21. Lesterquy Pauline, 2021. "The importance of the link between climate change and population for economic development [L’importance du lien entre changement climatique et population pour le développement économique]," Bulletin de la Banque de France, Banque de France, issue 236.
    22. Fehr, Hans & Jokisch, Sabine & Kotlikoff, Laurence J., 2008. "Fertility, mortality and the developed world's demographic transition," Journal of Policy Modeling, Elsevier, vol. 30(3), pages 455-473.
    23. Adriaan Kalwij & Rob Alessie & Marike Knoef, 2013. "The Association Between Individual Income and Remaining Life Expectancy at the Age of 65 in the Netherlands," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 181-206, February.
    24. Emese Kreiszné Hudák & Péter Varga & Viktor Várpalotai, 2015. "The macroeconomic impacts of demographic changes in Hungary in the context of the European Union," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 14(2), pages 89-127.
    25. Jeffrey G. Williamson, 2013. "Demographic Dividends Revisited," Asian Development Review, MIT Press, vol. 30(2), pages 1-25, September.
    26. David Bloom & David Canning & Rick Mansfield & Michael Moore, 2006. "Demographic Change, Social Security Systems, and Savings," PGDA Working Papers 1906, Program on the Global Demography of Aging.
    27. Mapa, Dennis S & Bersales, Lisa Grace S, 2008. "Population Dynamics and Household Saving: Evidence from the Philippines," MPRA Paper 21245, University Library of Munich, Germany.
    28. Atheendar S. Venkataramani & K.R. Shanmugam & Jennifer Prah Ruger, 2010. "Health, Technical Efficiency, And Agricultural Production In Indian Districts," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 35(4), pages 1-23, December.
    29. David, DE LA CROIX & Bo, MALMBERG, 2006. "Growth and Longevity from the Industrial Revolution to the Future of an Aging Society," Discussion Papers (ECON - Département des Sciences Economiques) 2006037, Université catholique de Louvain, Département des Sciences Economiques.
    30. Crespo Cuaresma, Jesus & Loichinger, Elke & Vincelette, Gallina A., 2016. "Aging and income convergence in Europe: A survey of the literature and insights from a demographic projection exercise," Economic Systems, Elsevier, vol. 40(1), pages 4-17.
    31. David E. Bloom & David Canning & Michael Moore & Younghwan Song, 2007. "The Effect of Subjective Survival Probabilities on Retirement and Wealth in the United States," Chapters, in: Robert L. Clark & Naohiro Ogawa & Andrew Mason (ed.), Population Aging, Intergenerational Transfers and the Macroeconomy, chapter 4, Edward Elgar Publishing.
    32. Martin Salm, 2006. "Can subjective mortality expectations and stated preferences explain varying consumption and saving behaviors among the elderly?," MEA discussion paper series 06111, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    33. Belyakov, A.O. & Kurbatskiy, A.N. & Prettner, K., 2021. "The growth effects of anticipated versus unanticipated population aging," Journal of Mathematical Economics, Elsevier, vol. 94(C).
    34. Baranov, Victoria & Bennett, Daniel & Kohler, Hans-Peter, 2015. "The indirect impact of antiretroviral therapy: Mortality risk, mental health, and HIV-negative labor supply," Journal of Health Economics, Elsevier, vol. 44(C), pages 195-211.
    35. Tomas Kögel, 2001. "Youth dependency and total factor productivity," MPIDR Working Papers WP-2001-030, Max Planck Institute for Demographic Research, Rostock, Germany.
    36. Tamara Fioroni, 2009. "Optimal savings and heallth spending over the life cycle," CHILD Working Papers wp09_09, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    37. Shesshinski, Eytan, 2006. "Longevity and Aggregate Savings," MPRA Paper 55165, University Library of Munich, Germany, revised Mar 2007.
    38. Lei He & Shuyi Zhou & Zilan Liu, 2020. "How is aggregate household consumption affected jointly by longevity, pension, and aging? Theory and evidence," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 67(4), pages 499-512, December.
    39. Salotti, Simone, 2008. "Global imbalances and household savings: the role of wealth," MPRA Paper 17729, University Library of Munich, Germany, revised 2009.
    40. Mohammad Reza Farzanegan, 2021. "Years of Life Lost to Revolution and War in Iran," CESifo Working Paper Series 9063, CESifo.
    41. Rajesh Sharma, 2018. "Health and economic growth: Evidence from dynamic panel data of 143 years," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-20, October.
    42. Zhang, Xiaomeng & Palivos, Theodore & Liu, Xiangbo, 2021. "Aging and Automation in Economies with Search Frictions," MPRA Paper 107950, University Library of Munich, Germany.
    43. Gemma Estrada & Donghyun Park & Arief Ramayandi, 2012. "Population aging and aggregate consumption in developing Asia," Chapters, in: Donghyun Park & Sang-Hyop Lee & Andrew Mason (ed.), Aging, Economic Growth, and Old-Age Security in Asia, chapter 4, pages 111-129, Edward Elgar Publishing.
    44. Noëmie Lisack & Rana Sajedi & Gregory Thwaites, 2019. "Population Ageing and the Macroeconomy," Working papers 745, Banque de France.
    45. Michael Kuhn & Klaus Prettner, 2018. "Population age structure and consumption growth: evidence from National Transfer Accounts," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(1), pages 135-153, January.
    46. Taguchi, Hiroyuki, 2021. "A revisit to effects of demographic dynamics on economic growth in Asia," MPRA Paper 110609, University Library of Munich, Germany.
    47. Natacha Raffin & Thomas Seegmuller, 2014. "The Cost of Pollution on Longevity, Welfare and Economic Stability," AMSE Working Papers 1433, Aix-Marseille School of Economics, France, revised 16 Jul 2014.
    48. Tran, Chung, 2018. "Temptation and taxation with elastic labor," Economic Modelling, Elsevier, vol. 70(C), pages 351-369.
    49. Taguchi, Hiroyuki & Latjin, Mirani, 2022. "The effects of demographic dynamics on economic growth in EU economies: A panel vector autoregressive approach," MPRA Paper 113596, University Library of Munich, Germany.
    50. Judith Kabajulizi, 2013. "Macroeconomic Implications Of Health Sector Reforms In Uganda: A Computable General Equilibrium Analysis," EcoMod2013 5158, EcoMod.
    51. Justin Doran, 2012. "An analysis of the interdependence of demographic factors, labour effort and economic growth in Ireland," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 39(3), pages 221-237, February.
    52. Alexia Prskawetz & Tomas Koegel & Warren C. Sanderson & Sergei Scherbov, 2004. "The Effects of Age Structure on Economic Growth: An Application of Probabilistic Forecasting to India," VID Working Papers 0403, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    53. Hui He & Hao Zhang & Tim Halliday, 2010. "Health Investment over the Life-Cycle," 2010 Meeting Papers 1179, Society for Economic Dynamics.
    54. Antoine Bommier, 2014. "Mortality Decline, Impatience and Aggregate Wealth Accumulation with Risk-Sensitive Preferences," CER-ETH Economics working paper series 14/194, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    55. Roger, Muriel & Savignac, Frédérique & d’Addio, Anna, 2020. "Pensions and household savings: cross-country heterogeneity in Europe," Working Paper Series 2372, European Central Bank.
    56. David E. Bloom & David Canning & Günther Fink, 2011. "Implications of Population Aging for Economic Growth," PGDA Working Papers 6411, Program on the Global Demography of Aging.
    57. Daishin Yasui, 2012. "Adult Longevity and Growth Takeoff," Discussion Papers 1218, Graduate School of Economics, Kobe University.
    58. David Canning, 2006. "The Economics of HIV/AIDS in Low-Income Countries: The Case for Prevention," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 121-142, Summer.
    59. Hans Fehr & Sabine Jokisch, 2006. "Demographischer Wandel und internationale Finanzmärkte," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(4), pages 501-517, November.
    60. Verónica Amarante & Maira Colacce, 2022. "Multidimensional Poverty Among Older People in Five Latin American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(3), pages 945-965, February.
    61. Uddin, Gazi A. & Alam, Khorshed & Gow, Jeff, 2016. "Population age structure and savings rate impacts on economic growth: Evidence from Australia," Economic Analysis and Policy, Elsevier, vol. 52(C), pages 23-33.
    62. Pedro Tonon Zuanazzi & Adelar Fochezatto, 2020. "Population aging and the probability of saving: a life cycle analysis of the Brazilian case [Envelhecimento populacional e probabilidade de poupar: uma análise do ciclo de vida do caso brasileiro]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 30(3), pages 951-968, September.
    63. Alsan, Marcella & Bloom, David E. & Canning, David, 2006. "The effect of population health on foreign direct investment inflows to low- and middle-income countries," World Development, Elsevier, vol. 34(4), pages 613-630, April.
    64. Pascual-Saez, Marta & Cantarero-Prieto, David & Pires Manso, José R., 2020. "Does population ageing affect savings in Europe?," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 291-306.
    65. Andrew Mason & Tomoko Kinugasa, 2005. "Why Nations Become Wealthy: The Effects of Adult Longevity on Saving," Working Papers 200514, University of Hawaii at Manoa, Department of Economics.
    66. Andrew Mason & Naohiro Ogawa & Amontheo Chawla & Rikiya Matsukura, 2011. "Asset-based flows from a generational perspective," Chapters, in: Ronald Lee & Andrew Mason (ed.), Population Aging and the Generational Economy, chapter 9, Edward Elgar Publishing.
    67. Andrew Mason & Sang-Hyop Lee, 2012. "Population, wealth, and economicgrowth in Asia and the Pacific," Chapters, in: Donghyun Park & Sang-Hyop Lee & Andrew Mason (ed.), Aging, Economic Growth, and Old-Age Security in Asia, chapter 2, pages 32-82, Edward Elgar Publishing.
    68. Pierre Pestieau & Grégory Ponthière, 2016. "Longevity variations and the welfare state," Post-Print halshs-01509666, HAL.
    69. Marta Pascual-Sáez & David Cantarero-Prieto & María González-Diego, 2018. "Testing the effect of population ageing on national saving rates: panel data evidence from Europe," Working Papers. Collection B: Regional and sectoral economics 1803, Universidade de Vigo, GEN - Governance and Economics research Network.
    70. Reyer Gerlagh & Richard Jaimes & Ali Motavasseli, 2017. "Global Demographic Change and Climate Policies," CESifo Working Paper Series 6617, CESifo.
    71. Mette Ejrnæs & Esteban García-Miralles & Mette Gørtz & Petter Lundborg, 2022. "When Death was Postponed: The Effect of HIV Medication on Work and Marriage," CEBI working paper series 22-08, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    72. David E. Bloom & David Canning, 2004. "Global Demographic Change: Dimensions and Economic Significance," NBER Working Papers 10817, National Bureau of Economic Research, Inc.
    73. Weil, David N., 2014. "Health and Economic Growth," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 3, pages 623-682, Elsevier.
    74. Laishram Ladusingh & M.R. Narayana, 2012. "Demographic dividends for India: evidence and implications based on National Transfer Accounts," Chapters, in: Donghyun Park & Sang-Hyop Lee & Andrew Mason (ed.), Aging, Economic Growth, and Old-Age Security in Asia, chapter 7, pages 203-230, Edward Elgar Publishing.
    75. Antoine Bommier, 2011. "Life-Cycle Preferences Revisited," CER-ETH Economics working paper series 11/155, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    76. Aylit T. Romm & Martha Wolny, 2012. "The Impact of Later Retirement Ages on Aggregate Household Savings and Saving Rates: An Analysis of OECD Countries," Working Papers 269, Economic Research Southern Africa.
    77. Shenglong Liu & Angang Hu, 2013. "Household Saving in China: The Keynesian Hypothesis, Life-Cycle Hypothesis, and Precautionary Saving Theory," The Developing Economies, Institute of Developing Economies, vol. 51(4), pages 360-387, December.
    78. Andreas Irmen, 2017. "Technological progress, the supply of hours worked, and the consumption-leisure complementarity," Working Papers halshs-01667017, HAL.
    79. Andrew Mason & Ronald Lee & Sang-Hyop Lee, 2010. "The Demographic Transition and Economic Growth in the Pacific Rim," NBER Chapters, in: The Economic Consequences of Demographic Change in East Asia, pages 19-55, National Bureau of Economic Research, Inc.
    80. Frankovic, Ivan & Kuhn, Michael, 2018. "Health insurance, endogenous medical progress, and health expenditure growth," ECON WPS - Working Papers in Economic Theory and Policy 01/2018, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    81. Amrita Ghatak, 2010. "Health, Labour Supply and Wages: A Critical Review of Literature," Working Papers 244, Institute for Social and Economic Change, Bangalore.
    82. World Bank, 2003. "Nigeria - Policy Options for Growth and Stability : Volume 1. Main Report," World Bank Publications - Reports 14388, The World Bank Group.
    83. Munir Ahmad & Rana Ejaz Ali Khan, 2019. "Does Demographic Transition with Human Capital Dynamics Matter for Economic Growth? A Dynamic Panel Data Approach to GMM," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 753-772, April.
    84. David E. Bloom & David Canning & Günther Fink & Jocelyn E. Finlay, 2012. "Microeconomic Foundations of the Demographic Dividend," PGDA Working Papers 9312, Program on the Global Demography of Aging.
    85. World Demographic and Ageing Forum & David E. Bloom & David Canning, 2006. "Global Demography, Facts, Force and Future," Journal Article y:2006:i:1, World Demographic and Ageing Forum.
    86. Weichun Chen & Judith A. Clarke & Nilanjana Roy, 2014. "Health and wealth: Short panel Granger causality tests for developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(6), pages 755-784, September.
    87. David E. Bloom & David Canning & Linlin Hu & Yuanli Liu & Ajay Mahal & Winnie Yip, 2007. "The Contribution of Population Health and Demographic Change to Economic Growth in China and India," PGDA Working Papers 2807, Program on the Global Demography of Aging.
    88. Baris K. Yörük, 2014. "Does Giving to Charity Lead to Better Health? Evidence from Tax Subsidies for Charitable Giving," CESifo Working Paper Series 4853, CESifo.
    89. David E. Bloom & David Canning & Michael Moore, 2007. "A Theory of Retirement," PGDA Working Papers 2607, Program on the Global Demography of Aging.
    90. Sahoo, Pravakar & Dash, Ranjan Kumar, 2013. "Financial sector development and domestic savings in South Asia," Economic Modelling, Elsevier, vol. 33(C), pages 388-397.
    91. Koji Yasuda, 2022. "Microdata analysis about the effects of health status and bequest motive on the elderly household assets in Japan," International Journal of Economic Policy Studies, Springer, vol. 16(1), pages 27-41, February.
    92. David E. Bloom & David Canning & Günther Fink & Jocelyn E. Finlay, 2007. "Fertility, Female Labor Force Participation, and the Demographic Dividend," NBER Working Papers 13583, National Bureau of Economic Research, Inc.
    93. Najat El Mekkaouide Freitas & Bérangère Legendre, 2014. "Constitution d'un revenu complémentaire de retraite: quels sont les facteurs déterminants?," Post-Print halshs-01155374, HAL.
    94. Kudrna, George & Tran, Chung & Woodland, Alan, 2015. "The dynamic fiscal effects of demographic shift: The case of Australia," Economic Modelling, Elsevier, vol. 50(C), pages 105-122.
    95. Xiaoxuan Yang, 2020. "Health expenditure, human capital, and economic growth: an empirical study of developing countries," International Journal of Health Economics and Management, Springer, vol. 20(2), pages 163-176, June.
    96. Dieppe, Alistair & Mourinho Félix, Ricardo & Marchiori, Luca & Grech, Owen & Albani, Maria & Lalouette, Laure & Kulikov, Dmitry & Papadopoulou, Niki & Sideris, Dimitris & Irac, Delphine & Gordo Mora, , 2015. "Public debt, population ageing and medium-term growth," Occasional Paper Series 165, European Central Bank.
    97. Kawagishi, Taketo & Nakamoto, Yasuhiro, 2016. "Dynamic Analysis of Health Status in a Small Open Economy," MPRA Paper 73859, University Library of Munich, Germany.
    98. David E. Bloom & David Canning & Gunther Fink, 2009. "The Graying of Global Population and Its Macroeconomic Consequences," PGDA Working Papers 4709, Program on the Global Demography of Aging.
    99. World Bank, 2013. "EU11 Regular Economic Report, Issue #26, January 2013," World Bank Publications - Reports 16489, The World Bank Group.
    100. Donald S. Kenkel & Robert R. Reed III & Ping Wang, 2002. "Rational Addiction, Peer Externalities and Long Run Effects of Public Policy," NBER Working Papers 9249, National Bureau of Economic Research, Inc.
    101. Oliver Fritz & Peter Mayerhofer & Reinhard Haller & Gerhard Streicher & Florian Bachner & Herwig Ostermann, 2013. "Die regionalwirtschaftlichen Effekte der österreichischen Krankenanstalten," WIFO Studies, WIFO, number 46672, January.
    102. Bommier, Antoine, 2009. "Mortality Decline and Aggregate Wealth Accumulation," TSE Working Papers 09-050, Toulouse School of Economics (TSE).
    103. Miyake, Yusuke, 2022. "Endogenous childcare costs in R&D based model," MPRA Paper 112491, University Library of Munich, Germany.
    104. Johan Fourie, 2012. "The wealth of the Cape Colony: Measurements from probate inventories," Working Papers 268, Economic Research Southern Africa.
    105. Koichi Futagami & Kunihiko Konishi, 2019. "Rising longevity, fertility dynamics, and R&D-based growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(2), pages 591-620, April.
    106. David E. Bloom & David Canning & Michael Moore, 2004. "The Effect of Improvements in Health and Longevity on Optimal Retirement and Saving," NBER Working Papers 10919, National Bureau of Economic Research, Inc.
    107. Raphael Semet & Thierry Roncalli & Lauren Stagnol, 2021. "ESG and Sovereign Risk: What is Priced in by the Bond Market and Credit Rating Agencies?," Papers 2110.06617, arXiv.org.
    108. El Mekkaoui de Freitas, Najat & Oliveira Martins, Joaquim, 2014. "Health, pension benefits and longevity: How they affect household savings?," The Journal of the Economics of Ageing, Elsevier, vol. 3(C), pages 21-28.
    109. Joel Alejandro Rosado & Mar a Isabel Alvarado S nchez, 2017. "From Population Age Structure and Savings Rate to Economic Growth: Evidence from Ecuador," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 352-361.
    110. Lei He & Zhengqi Wang, 2023. "The interaction effects of rising life expectancy and the public pension burden on aggregate savings and economic growth," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(2), pages 229-250, May.
    111. Li-Wei Chao & Helena Szrek & Nuno Sousa Pereira & Mark V. Pauly, 2007. "Time Preference and Its Relationship with Age, Health, and Survival Probability," CEF.UP Working Papers 0706, Universidade do Porto, Faculdade de Economia do Porto.
    112. Li-Shiun Chen & Ping Wang & Yao Yao, 2017. "Smoking, Health Capital, and Longevity: Evaluation of Personalized Cessation Treatments in a Lifecycle Model with Heterogeneous Agents," NBER Working Papers 23820, National Bureau of Economic Research, Inc.
    113. Hendrik P. van Dalen, 2007. "Global Aging and Economic Convergence: A Real Option or Still a Case of Science Fiction?," Tinbergen Institute Discussion Papers 07-051/1, Tinbergen Institute.
    114. Kárpáti, Daniel, 2023. "Essays in finance & health," Other publications TiSEM 5505e140-1f4d-4f61-a5a5-e, Tilburg University, School of Economics and Management.
    115. Bloom, David & Khoury, Alexander & Kufenko, Vadim & Prettner, Klaus, 2021. "Spurring economic growth through human development: research results and guidance for policymakers," CEPR Discussion Papers 16643, C.E.P.R. Discussion Papers.
    116. DE LA CROIX, David & LINDH, Thomas & MALMBERG, Bo, 2009. "Demographic change and economic growth in Sweden: 1750-2050," LIDAM Reprints CORE 2104, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    117. Futagami, Koichi & Sunaga, Miho, 2022. "Risk aversion and longevity in an overlapping generations model," Journal of Macroeconomics, Elsevier, vol. 72(C).
    118. J. Ignacio Conde-Ruiz & Clara I. González, 2016. "From Bismarck to Beveridge: the other pension reform in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(4), pages 461-490, November.
    119. Mpho Nkhumeleni & Nancy Stiegler & Kanayo Ogujiuba, 2022. "Interaction of Unemployment, Socioeconomic Factors and Demographic Dividend in South Africa: Issues and Policy Options," International Journal of Economics and Financial Issues, Econjournals, vol. 12(5), pages 95-105, September.
    120. Zongwu Cai & Jiazi Chen & Linlin Niu, 2021. "A Semiparametric Model for Bond Pricing with Life Cycle Fundamental," Working Papers 2021-01-06, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    121. Esso, Loesse Jacques, 2009. "La dépendance démographique est-elle un obstacle à l’épargne et à la croissance en Côte d’Ivoire?," L'Actualité Economique, Société Canadienne de Science Economique, vol. 85(4), pages 361-382, décembre.
    122. Michael A. Stegman & Robert Faris, 2003. "Payday Lending: A Business Model that Encourages Chronic Borrowing," Economic Development Quarterly, , vol. 17(1), pages 8-32, February.
    123. Hiroyuki Taguchi & Ni Lar & Sereyvuth Ky, 2021. "Revisiting the effects of demographic dynamics on economic growth in Asia: a panel vector‐autoregressive approach with a saving channel," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(2), pages 77-94, November.
    124. World Bank, 2011. "Turkey - Country Economic Memorandum (CEM) : Sustaining High Growth - The Role of Domestic savings : Synthesis Report," World Bank Publications - Reports 12264, The World Bank Group.
    125. Peeters, Marga, 2012. "Asymmetric demographic pressure in South-Mediterranean versus North-Mediterranean economies and its impact on international gross capital flows," MPRA Paper 39635, University Library of Munich, Germany.
    126. Koji Yasuda & Tomoko Kinugasa, 2022. "Effects of adult mortality rate on educational attainment: empirical analysis using cross-country panel data," International Journal of Economic Policy Studies, Springer, vol. 16(2), pages 409-422, August.
    127. Zongwu Cai & Jiazi Chen & Linlin Liu, 2021. "Estimating Impact of Age Distribution on Bond Pricing: A Semiparametric Functional Data Analysis Approach," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202102, University of Kansas, Department of Economics, revised Jan 2021.
    128. Gindra Kasnauskiene & Karol Michnevic, 2017. "Contribution of increased life expectancy to economic growth: evidence from CEE countries," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 6(2), pages 82-99, November.
    129. Sanna Nivakoski, 2020. "Wealth and the effect of subjective survival probability," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(2), pages 633-670, April.
    130. Infrastructure Victoria, 2016. "Moving from Evaluation to Valuation: Improving project appraisals by monetising more social and environmental impacts," Policy papers 201602, Infrastructure Victoria.
    131. Frankovic, Ivan, 2017. "The impact of climate change on health expenditures," ECON WPS - Working Papers in Economic Theory and Policy 02/2017, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    132. Michael Kuhn & Alexia Prskawetz & Uwe Sunde, 2014. "Health, education, and retirement over the prolonged life cycle: a selective survey of recent research," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 12(1), pages 1-22.
    133. Lei He & Shuyi Zhou & Zilan Liu, 0. "How is aggregate household consumption affected jointly by longevity, pension, and aging? Theory and evidence," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 0, pages 1-14.
    134. Andrew Mason & Tomoko Kinugasa, 2005. "East Asian Economic Development: Two Demographic Dividends," Economics Study Area Working Papers 83, East-West Center, Economics Study Area.
    135. Jisoo Hwang & Seok Ki Kim, 2023. "Unexpected longevity, intergenerational policies, and fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1607-1640, July.
    136. Dong-Hyeon Kim & Peiyao Liu & Shu-Chin Lin, 2024. "The moderating role of financial development in the nexus between population aging and saving," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-32, April.
    137. Brembilla, Laurent, 2018. "Longevity and welfare in general equilibrium," Mathematical Social Sciences, Elsevier, vol. 93(C), pages 22-36.
    138. Antoine Bommier, 2005. "Life-Cycle Theory for Human Beings," Working Papers hal-00441890, HAL.
    139. Elwin Tobing, 2012. "Demography and cross-country differences in savings rates: a new approach and evidence," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 963-987, July.
    140. Yu Liu & Mingde Jia, 2023. "The Impact of Population Aging on Green Innovation: An Empirical Analysis Based on Inter-Provincial Data in China," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    141. Casper van Ewijk & Erik Canton & Paul Tang, 2004. "Ageing and international capital flows," CPB Document 43, CPB Netherlands Bureau for Economic Policy Analysis.
    142. Kam-Ki Tang & Benjamin ShiJie Wong, "undated". "The Ageing, Longevity and Crowding Out Effects on Private and Public Savings: Evidence from Dynamic Panel Analysis," MRG Discussion Paper Series 3409, School of Economics, University of Queensland, Australia.
    143. Andy Mason & Sang-Hyop Lee & Ronald Lee, 2010. "Will Demographic Change Undermine Asia’s Growth Prospects?," Chapters, in: Masahiro Kawai & Jong-Wha Lee & Peter A. Petri & Giovanni Capanelli (ed.), Asian Regionalism in the World Economy, chapter 3, Edward Elgar Publishing.
    144. Jie Zhang & Junsen Zhang, 2005. "The Effect of Life Expectancy on Fertility, Saving, Schooling and Economic Growth: Theory and Evidence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(1), pages 45-66, March.
    145. Thornton, Rebecca L., 2012. "HIV testing, subjective beliefs and economic behavior," Journal of Development Economics, Elsevier, vol. 99(2), pages 300-313.
    146. Simiao Chen & Michael Kuhn & Klaus Prettner & David E Bloom, 2018. "The macroeconomic burden of noncommunicable diseases in the United States: Estimates and projections," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-14, November.
    147. Najat El Mekkaoui de Freitas & Berangere Legendre Lunven & Gordon Clark, 2013. "Individual Private Retirement Insurances: holding behaviours among pensioners," Economics Bulletin, AccessEcon, vol. 33(1), pages 812-827.
    148. Kinugasa, Tomoko & Mason, Andrew, 2007. "Why Countries Become Wealthy: The Effects of Adult Longevity on Saving," World Development, Elsevier, vol. 35(1), pages 1-23, January.
    149. Ren Wang & Rui Wang & Hongqi Ma, 2019. "The effect of healthy human capital improvement on savings and growth: An empirical study based on China’s inter-provincial panel data," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 29-54.
    150. Manoj Mohanan, 2008. "Consumption Smoothing and Household Responses: Evidence from Random Exogenous Health Shocks," CID Working Papers 23, Center for International Development at Harvard University.
    151. Michael C. M. Leung & Yong Wang, 2010. "Endogenous Health Care, Life Expectancy And Economic Growth," Pacific Economic Review, Wiley Blackwell, vol. 15(1), pages 11-31, February.
    152. Michael Spence & Danny Leipziger, 2010. "Globalization and Growth - Implications for a Post-Crisis World : Commission on Growth and Development," World Bank Publications - Books, The World Bank Group, number 2440.
    153. Miyake, Yusuke, 2022. "Endogenous childcare costs in R&D based model," MPRA Paper 112489, University Library of Munich, Germany.

  23. Bryan S. Graham & Jonathan Temple, 2001. "Rich Nations, Poor Nations: How Much Can Multiple Equilibria Explain?," CID Working Papers 76A, Center for International Development at Harvard University.

    Cited by:

    1. Hiroaki Sasaki, 2021. "Non‐renewable resources and the possibility of sustainable economic development in an economy with positive or negative population growth," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 704-720, October.
    2. Chris Papageorgiou & Fidel Pérez Sebastián & Shankha Chakraborty, 2010. "Diseases, infection dynamics and development," Working Papers. Serie AD 2010-28, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Azariadis, Costas & Stachurski, John, 2005. "Poverty Traps," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 5, Elsevier.
    4. Salvatore Capasso & Maria Rosario Carillo & Rita De Siano, 2012. "Migration Flows, Structural Change And Growth Convergence: A Panel Data Analysis Of The Italian Regions," Manchester School, University of Manchester, vol. 80(4), pages 468-498, July.
    5. Areendam Chanda & Beatrice Farkas, 2009. "Technology-Skill Complementarity and International TFP Differences," DEGIT Conference Papers c014_028, DEGIT, Dynamics, Economic Growth, and International Trade.
    6. Johnson, Paul, 2003. "A Continuous State Space Approach to “Convergence by Parts”," Vassar College Department of Economics Working Paper Series 54, Vassar College Department of Economics.
    7. Frederic Docquier & David de la Croix, 2010. "Do Brain Drain and Poverty Result from Coordination Failures?," 2010 Meeting Papers 440, Society for Economic Dynamics.
    8. Lilia Maliar & Dmytro Kylymnyuk & Serguei Maliar, 2004. "Rich, Poor And Growth-Miracle Nations: Multiple Equilibria Revisited," Working Papers. Serie AD 2004-39, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. Schäfer, Andreas & Steger, Thomas, 2012. "Journey into the unknown? Economic consequences of factor market integration under increasing returns to scale," Working Papers 107, University of Leipzig, Faculty of Economics and Management Science.
    10. Englmaier, Florian & Reisinger, Markus, 2008. "Information, coordination and the industrialization of countries," Munich Reprints in Economics 22031, University of Munich, Department of Economics.
    11. John S. Landon‐Lane & Peter E. Robertson, 2009. "Factor Accumulation And Growth Miracles In A Two‐Sector Neoclassical Growth Model," Manchester School, University of Manchester, vol. 77(2), pages 153-170, March.
    12. Kraay, Aart & Raddatz, Claudio, 2007. "Poverty traps, aid, and growth," Journal of Development Economics, Elsevier, vol. 82(2), pages 315-347, March.
    13. Francisco J. Buera & Hugo A. Hopenhayn & Yongseok Shin & Nicholas Trachter, 2021. "Big Push in Distorted Economies," Working Paper 21-07, Federal Reserve Bank of Richmond.
    14. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2008. "Empirics of Growth and Development," Chapters, in: Amitava Krishna Dutt & Jaime Ros (ed.), International Handbook of Development Economics, Volumes 1 & 2, volume 0, chapter 3, Edward Elgar Publishing.
    15. Holger Strulik & Sebastian Vollmer, 2010. "The Fertility Transition Around the World - 1950-2005," PGDA Working Papers 5710, Program on the Global Demography of Aging.
    16. Jonathan Temple & Huikang Ying, 2014. "Life During Structural Transformation," Bristol Economics Discussion Papers 14/650, School of Economics, University of Bristol, UK, revised 08 Dec 2014.
    17. Jonathan Temple & Huikang Ying & Patrick Carter, 2014. "Transfers and Transformations: Remittances, Foreign Aid, and Growth," Bristol Economics Discussion Papers 14/649, School of Economics, University of Bristol, UK, revised 02 Dec 2014.
    18. Lavopa A. & Szirmai A., 2014. "Structural modernization and development traps : an empirical approach," MERIT Working Papers 2014-076, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Breandán Ó'hUallacháin, 2008. "Regional growth transition clubs in the United States," Papers in Regional Science, Wiley Blackwell, vol. 87(1), pages 33-53, March.
    20. Franz Wirl, 2011. "Conditions for indeterminacy and thresholds in neoclassical growth models," Journal of Economics, Springer, vol. 102(3), pages 193-215, April.
    21. Kimberly Ann Elliott & Debayani Kar & J. David Richardson, 2002. "Assessing Globalization's Critics: "Talkers Are No Good Doers???"," Working Paper Series WP02-5, Peterson Institute for International Economics.
    22. Ferdinando Ofria, 2012. "Twelve Years on from the Adoption of the Emu: An Ex-Post Assessment on the Process of Convergence of Southern and Central-Northern Italy," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 2(Special 1), pages 326-339, May.
    23. Strulik, Holger, 2008. "Degrees of Development - How Geographic Latitude Sets the Pace of Industrialization and Demographic Change," Hannover Economic Papers (HEP) dp-384, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    24. Jonathan Temple, 2005. "Dual economy models: a primer for growth economists," Bristol Economics Discussion Papers 05/574, School of Economics, University of Bristol, UK.
    25. Panu Poutvaara & Andreas Wagener, 2010. "The invisible hand plays dice: multiple equilibria in sects markets," Public Choice, Springer, vol. 145(3), pages 483-502, December.
    26. Oded Galor, 2007. "Multiple Growth Regimes-Insights from Unified Growth Theory," Working Papers 2007-8, Brown University, Department of Economics.
    27. M. Centorrino & F. Ofria & D. Farinella, 2010. "Convergence and divergence processes between the Mezzogiorno and the Centre- North ten years after the adoption of the EMU," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3, pages 453-486.
    28. Benhima, Kenza & Massenot, Baptiste, 2013. "Safety Traps," CEPR Discussion Papers 9636, C.E.P.R. Discussion Papers.
    29. Francesco Caselli, 2004. "Accounting for Cross-Country Income Differences," NBER Working Papers 10828, National Bureau of Economic Research, Inc.
    30. Richard G. Harris & Peter E. Robertson & Jessica Y. Xu, 2011. "The International Effects of China’s Growth, Trade and Education Booms," The World Economy, Wiley Blackwell, vol. 34(10), pages 1703-1725, October.
    31. Breinlich, Holger & Ottaviano, Gianmarco I P & Temple, Jonathan R, 2013. "Regional Growth and Regional Decline," Economics Discussion Papers 8977, University of Essex, Department of Economics.
    32. M. Scarlato & M. Cenci, 2004. "Innovazione tecnologica e offerta di skills:una simulazione," Computational Economics 0401003, University Library of Munich, Germany.
    33. Grames, Johanna & Prskawetz, Alexia & Grass, Dieter & Viglione, Alberto & Blöschl, Günter, 2015. "Modelling the interaction between flooding events and economic growth," ECON WPS - Working Papers in Economic Theory and Policy 04/2015, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    34. Blackburn, Keith & Forgues-Puccio, Gonzalo F., 2005. "Distribution and Development in a Model of Misgovernance," Proceedings of the German Development Economics Conference, Kiel 2005 15, Verein für Socialpolitik, Research Committee Development Economics.
    35. Federico Zincenko & Walter Sosa-Escudero & Gabriel Montes-Rojas, 2014. "Robust tests for time-invariant individual heterogeneity versus dynamic state dependence," Empirical Economics, Springer, vol. 47(4), pages 1365-1387, December.
    36. Joan Hamory & Marieke Kleemans & Nicholas Y Li & Edward Miguel, 2021. "Reevaluating Agricultural Productivity Gaps with Longitudinal Microdata," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1522-1555.
    37. Temple, Jonathan & Wößmann, Ludger, 2006. "Dualism and cross-country growth regressions," Munich Reprints in Economics 19619, University of Munich, Department of Economics.
    38. William Easterly, 2006. "Reliving the 1950s: the big push, poverty traps, and takeoffs in economic development," Journal of Economic Growth, Springer, vol. 11(4), pages 289-318, December.
    39. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
    40. Donald S. Allen & Leonce Ndikumana, 1999. "Income inequality and minimum consumption: implications for growth," Working Papers 1999-013, Federal Reserve Bank of St. Louis.
    41. Keith Blackburn & Gonzalo F. Forgues-Puccio, 2011. "Foreign Aid – A Fillip for Development or a Fuel for Corruption?," Development Research Working Paper Series 09/2011, Institute for Advanced Development Studies.
    42. Vollmer, Sebastian & Holzmann, Hajo & Schwaiger, Florian, 2010. "Peaks vs. Components," Hannover Economic Papers (HEP) dp-452, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    43. Herman Geyer, 2016. "Poverty Traps in South African Agriculture," Agrekon, Taylor & Francis Journals, vol. 55(4), pages 356-376, October.
    44. Jonathan Temple, 2002. "The Costs of Dualism," Bristol Economics Discussion Papers 02/532, School of Economics, University of Bristol, UK.
    45. Temple, Jonathan R.W., 2010. "Aid and Conditionality," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4415-4523, Elsevier.
    46. Patrick M. Kline & Enrico Moretti, 2013. "Local Economic Development, Agglomeration Economies, and the Big Push: 100 Years of Evidence from the Tennessee Valley Authority," NBER Working Papers 19293, National Bureau of Economic Research, Inc.
    47. Dalton, P.S. & Ghosal, S. & Mani, A., 2011. "Poverty and Aspirations Failure," Other publications TiSEM 30b6aa68-cb90-42af-ba4d-1, Tilburg University, School of Economics and Management.
    48. Jonathan Temple, 2010. "Aggregate production functions, growth economics, and the part-time tyranny of the identity: a reply to Felipe and McCombie," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(6), pages 685-692.
    49. Alan Martina, 2007. "A Class of Poverty Traps: A Theory and Empirical Tests," ANU Working Papers in Economics and Econometrics 2007-482, Australian National University, College of Business and Economics, School of Economics.
    50. Kraay, Aart & McKenzie, David, 2014. "Do poverty traps exist ?," Policy Research Working Paper Series 6835, The World Bank.
    51. Bloom, David E & Canning, David & Sevilla, Jaypee, 2003. "Geography and Poverty Traps," Journal of Economic Growth, Springer, vol. 8(4), pages 355-378, December.
    52. Michele Catalano & Emilia Pezzolla, 2022. "Global natural projections," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(4), pages 949-990, November.
    53. Sasaki, Hiroaki & Mino, Kazuo, 2024. "Effects of exhaustible resources and declining population on economic growth with Hotelling’s rule," International Review of Economics & Finance, Elsevier, vol. 94(C).
    54. Vincenzo Lombardo, 2008. "Dual Economy Models: A Primer for…Growth, Income Distribution and Poverty Analysis," Working Papers 12_2008, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    55. Humberto López & Luis Servén, 2015. "Too Poor to Grow," Central Banking, Analysis, and Economic Policies Book Series, in: Ricardo J. Caballero & Klaus Schmidt-Hebbel (ed.),Economic Policies in Emerging-Market Economies Festschrift in Honor of Vittorio Corbo, edition 1, volume 21, chapter 13, pages 309-350, Central Bank of Chile.
    56. Sasaki, Hiroaki, 2019. "Non-Renewable Resources and the Possibility of Sustainable Economic Development in a Positive or Negative Population Growth Economy," MPRA Paper 92204, University Library of Munich, Germany.
    57. Hiroaki Sasaki, 2010. "Trade, Non-Scale Growth, and Uneven Development," Discussion papers e-10-002, Graduate School of Economics Project Center, Kyoto University.
    58. Leopoldo Yanes, "undated". "Endogenous Technological Capability,Trade Policy and Coordination Failure: A Reconsideration of Economic Take-Off(s)," MRG Discussion Paper Series 1306, School of Economics, University of Queensland, Australia.
    59. Areendam Chanda & Carl‐Johan Dalgaard, 2008. "Dual Economies and International Total Factor Productivity Differences: Channelling the Impact from Institutions, Trade, and Geography," Economica, London School of Economics and Political Science, vol. 75(300), pages 629-661, November.
    60. Alice Nicole Sindzingre, 2007. "Poverty traps: a perspective from development economics," Working Papers hal-04139210, HAL.
    61. Silvia Dal Bianco, 2016. "Going clubbing in the eighties: convergence in manufacturing sectors at a glance," Empirical Economics, Springer, vol. 50(2), pages 623-659, March.
    62. Alexander Golub & Michael Toman, 2016. "Climate Change, Industrial Transformation, and “Environmental Growth Traps”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(2), pages 249-263, February.
    63. Dmytro Kylymnyuk & Lilia Maliar & Serguei Maliar, 2007. "A model of unbalanced sectorial growth with application to transition economies," Economic Change and Restructuring, Springer, vol. 40(4), pages 309-325, December.
    64. Dietrich Vollrath, 2013. "Measuring Aggregate Agricultural Labor Effort in Dual Economies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 39-58, June.
    65. Jonathan Temple, 2006. "Aggregate Production Functions and Growth Economics," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(3), pages 301-317.
    66. Jonathan R. W. Temple, 2005. "Growth and Wage Inequality in a Dual Economy," Bulletin of Economic Research, Wiley Blackwell, vol. 57(2), pages 145-169, April.
    67. Nejat ANBARCI & Mehmet ULUBASOGLU, 2010. "Endogenous Liberalization and Within-Country Inequality," EcoMod2010 259600008, EcoMod.
    68. Areendam Chanda & Carl-Johan Dalgaard, 2005. "Dual Economies and International Total Factor Productivity Differences," Departmental Working Papers 2005-11, Department of Economics, Louisiana State University.
    69. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    70. Alice Nicole Sindzingre, 2007. "Poverty traps: a perspective from development economics," EconomiX Working Papers 2007-26, University of Paris Nanterre, EconomiX.
    71. Mikhail Anufriev & Davide Radi & Fabio Tramontana, 2018. "Some reflections on past and future of nonlinear dynamics in economics and finance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 91-118, November.
    72. Fabio Monteforte, 2015. "Structural Transformation, the Push-Pull Hypothesis and the Labour Market," Bristol Economics Discussion Papers 15/654, School of Economics, University of Bristol, UK, revised 01 Dec 2017.
    73. Golub, A. & Potashnikov, V., 2022. "Theoretical analysis of development traps: On the example of Russia," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 56-74.
    74. Golub, Alexander & Toman, Michael, 2014. "Climate change, industrial transformation, and"development traps"," Policy Research Working Paper Series 6951, The World Bank.
    75. Vollrath, Dietrich, 2014. "The efficiency of human capital allocations in developing countries," Journal of Development Economics, Elsevier, vol. 108(C), pages 106-118.
    76. Volker Grossmann & Thomas Steger, 2013. "Konvergieren die Einkommen zwischen Ost- und Westdeutschland? Das deutsch-deutsche Experiment aus wachstumsökonomischer Sicht," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 20(02), pages 29-32, April.
    77. Antonio F. Galvao & Gabriel Montes-Rojas & Jose Olmo, 2013. "A panel data test for poverty traps," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1943-1952, May.
    78. Duane W. Rockerbie & Stephen T. Easton, 2010. "The Ebbs and Flows of the Game: Multiple Equilibria in a Sports League Model," Journal of Sports Economics, , vol. 11(2), pages 172-185, April.
    79. Syed Ali Ahmed & Asma Hyder, 2023. "Institutions and the Economic Growth," Social Inequality Lab Working Paper Series wpsil2, School of Economics and Social Sciences, IBA Karachi.
    80. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).
    81. Pi, Jiancai & Zhou, Yu, 2012. "Public infrastructure provision and skilled–unskilled wage inequality in developing countries," Labour Economics, Elsevier, vol. 19(6), pages 881-887.

Articles

  1. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2020. "Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 303-316, April.
    See citations under working paper version above.
  2. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
    See citations under working paper version above.
  3. Bryan S. Graham, 2018. "Identifying and Estimating Neighborhood Effects," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 450-500, June.
    See citations under working paper version above.
  4. Bryan S. Graham, 2017. "An Econometric Model of Network Formation With Degree Heterogeneity," Econometrica, Econometric Society, vol. 85, pages 1033-1063, July.
    See citations under working paper version above.
  5. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2016. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 288-301, April.
    See citations under working paper version above.
  6. Bryan S. Graham, 2015. "Methods of Identification in Social Networks," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 465-485, August.
    See citations under working paper version above.
  7. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2014. "Complementarity and aggregate implications of assortative matching: A nonparametric analysis," Quantitative Economics, Econometric Society, vol. 5, pages 29-66, March.
    See citations under working paper version above.
  8. Bryan S. Graham & James L. Powell, 2012. "Identification and Estimation of Average Partial Effects in “Irregular” Correlated Random Coefficient Panel Data Models," Econometrica, Econometric Society, vol. 80(5), pages 2105-2152, September.

    Cited by:

    1. M. Hashem Pesaran & Liying Yang, 2023. "Trimmed Mean Group Estimation of Average Treatment Effects in Ultra Short T Panels under Correlated Heterogeneity," CESifo Working Paper Series 10725, CESifo.
    2. Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers 66/13, Institute for Fiscal Studies.
    3. Clément de Chaisemartin & Xavier D’haultfœuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Post-Print hal-03873885, HAL.
    4. Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
    5. Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments," Boston College Working Papers in Economics 839, Boston College Department of Economics.
    6. Chen, Xiaohong & Liao, Zhipeng, 2014. "Sieve M inference on irregular parameters," Journal of Econometrics, Elsevier, vol. 182(1), pages 70-86.
    7. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
    8. Cl'ement de Chaisemartin & Diego Ciccia Xavier D'Haultf{oe}uille & Felix Knau, 2024. "Two-way Fixed Effects and Differences-in-Differences Estimators in Heterogeneous Adoption Designs," Papers 2405.04465, arXiv.org, revised Nov 2024.
    9. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
    10. Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The triangular model with random coefficients," CeMMAP working papers 33/15, Institute for Fiscal Studies.
    11. M. Hashem Pesaran & Liying Yang, 2023. "Trimmed Mean Group Estimation of Average Effects in Ultra Short T Panels under Correlated Heterogeneity," Papers 2310.11680, arXiv.org, revised Jul 2024.
    12. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    13. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    14. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    15. M. Hashem Pesaran & Liying Yang, 2024. "Heterogeneous autoregressions in short T panel data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1359-1378, November.
    16. Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers 33/17, Institute for Fiscal Studies.
    17. Hugo Padrón-Ávila & Raúl Hernández-Martín, 2019. "Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    18. Charles E. Gibbons & Juan Carlos Suárez Serrato & Michael B. Urbancic, 2014. "Broken or Fixed Effects?," NBER Working Papers 20342, National Bureau of Economic Research, Inc.
    19. Alyssa Carlson & Riju Joshi, 2021. "Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients," Working Papers 2115, Department of Economics, University of Missouri.
    20. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile Regression with Panel Data," NBER Working Papers 21034, National Bureau of Economic Research, Inc.
    21. Oliver Linton & Ji-Liang Shiu, 2018. "Semiparametric nonlinear panel data models with measurement error," CeMMAP working papers CWP09/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    23. Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
    24. Santiago Pereda-Fernández, 2021. "Copula-Based Random Effects Models for Clustered Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 575-588, March.
    25. Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    27. Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Financial Stability Review, Banco de España, issue Autumn.
    28. Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
    29. Michael Bates & Seolah Kim, 2019. "Estimating the Price Elasticity of Gasoline Demand in Correlated Random Coefficient Models with Endogeneity," Working Papers 202021, University of California at Riverside, Department of Economics, revised Jul 2020.
    30. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Nov 2024.
    31. Victor Chernozhukov & Jerry A. Hausman & Whitney K. Newey, 2019. "Demand Analysis with Many Prices," NBER Working Papers 26424, National Bureau of Economic Research, Inc.
    32. Gao, Yichen & Li, Cong & Liang, Zhongwen, 2015. "Binary response correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 421-434.
    33. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    34. Ishihara, Takuya, 2020. "Identification and estimation of time-varying nonseparable panel data models without stayers," Journal of Econometrics, Elsevier, vol. 215(1), pages 184-208.
    35. Ryo Okui & Takahide Yanagi, 2014. "Panel Data Analysis with Heterogeneous Dynamics," KIER Working Papers 906, Kyoto University, Institute of Economic Research.
    36. D’Haultfœuille, Xavier & Hoderlein, Stefan & Sasaki, Yuya, 2023. "Nonparametric difference-in-differences in repeated cross-sections with continuous treatments," Journal of Econometrics, Elsevier, vol. 234(2), pages 664-690.
    37. Xiaohong Chen & Demian Pouzo, 2015. "Sieve Wald and QLR Inferences on Semi/Nonparametric Conditional Moment Models," Econometrica, Econometric Society, vol. 83(3), pages 1013-1079, May.
    38. Victor Chernozhukov & Whitney K Newey & Rahul Singh, 2018. "Automatic Debiased Machine Learning of Causal and Structural Effects," Papers 1809.05224, arXiv.org, revised Oct 2022.
    39. Takuya Ishihara, 2020. "Panel Data Quantile Regression for Treatment Effect Models," Papers 2001.04324, arXiv.org, revised Nov 2021.
    40. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.
    41. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2015. "IV Quantile Regression for Group-level Treatments, with an Application to the Distributional Effects of Trade," NBER Working Papers 21033, National Bureau of Economic Research, Inc.
    42. Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Jorge E. Galán, 2020. "The benefits are at the tail: uncovering the impact of macroprudential policy on growth-at-risk," Working Papers 2007, Banco de España.
    44. Brantly Callaway & Tong Li, 2019. "Quantile treatment effects in difference in differences models with panel data," Quantitative Economics, Econometric Society, vol. 10(4), pages 1579-1618, November.
    45. Xin Liu, 2024. "A quantile-based nonadditive fixed effects model," Papers 2405.03826, arXiv.org.
    46. Dilek Uz & Steven Buck & David Sunding, 2022. "Fixed or mixed? Farmer‐level heterogeneity in response to changes in salinity," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1343-1363, August.
    47. Cheng Hsiao & Qi Li & Zhongwen Liang & Wei Xie, 2019. "Panel Data Estimation for Correlated Random Coefficients Models," Econometrics, MDPI, vol. 7(1), pages 1-18, February.
    48. Yingyao Hu & Ji‐Liang Shiu, 2018. "Identification and estimation of semi‐parametric censored dynamic panel data models of short time periods," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 55-85, February.
    49. Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," CeMMAP working papers 38/14, Institute for Fiscal Studies.
    50. Emmanouil Kitsios & Manasa Patnam, 2016. "Estimating Fiscal Multipliers with Correlated Heterogeneity," IMF Working Papers 2016/013, International Monetary Fund.
    51. Iv'an Fern'andez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-Rank Approximations of Nonseparable Panel Models," Papers 2010.12439, arXiv.org, revised Mar 2021.
    52. Michael Bates & Seolah Kim, 2019. "Per-Cluster Instrumental Variables Estimation: Uncovering the Price Elasticity of the Demand for Gasoline," Working Papers 202003, University of California at Riverside, Department of Economics.
    53. Valentin Verdier, 2020. "Average treatment effects for stayers with correlated random coefficient models of panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 917-939, November.
    54. Peter Hull, 2018. "Estimating Treatment Effects in Mover Designs," Papers 1804.06721, arXiv.org.
    55. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised May 2024.
    56. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.
    57. Kasy, Maximilian, 2022. "Who wins, who loses? Identification of conditional causal effects, and the welfare impact of changing wages," Journal of Econometrics, Elsevier, vol. 226(1), pages 155-170.
    58. Shosei Sakaguchi, 2017. "Estimation of Average Treatment Effects Using Panel Data when Treatment Effects Are Heterogeneous by Unobserved Fixed Effects," KIER Working Papers 970, Kyoto University, Institute of Economic Research.
    59. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    60. Cl'ement de Chaisemartin & Ziteng Lei, 2021. "More Robust Estimators for Instrumental-Variable Panel Designs, With An Application to the Effect of Imports from China on US Employment," Papers 2103.06437, arXiv.org, revised Sep 2023.
    61. Cl'ement de Chaisemartin & Xavier D'Haultfoeuille & F'elix Pasquier & Doulo Sow & Gonzalo Vazquez-Bare, 2022. "Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period," Papers 2201.06898, arXiv.org, revised Jul 2024.
    62. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    63. Yuya Sasaki & Takuya Ura, 2021. "Slow Movers in Panel Data," Papers 2110.12041, arXiv.org.
    64. Sungwon Lee, 2020. "Nonparametric Identification and Estimation of Panel Quantile Models with Sample Selection," Working Papers 2012, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    65. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  9. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
    See citations under working paper version above.
  10. Bryan S. Graham & Keisuke Hirano, 2011. "Robustness to Parametric Assumptions in Missing Data Models," American Economic Review, American Economic Association, vol. 101(3), pages 538-543, May.

    Cited by:

    1. Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Springer, vol. 67(1), pages 33-49, March.

  11. Bryan S. Graham, 2011. "Efficiency Bounds for Missing Data Models With Semiparametric Restrictions," Econometrica, Econometric Society, vol. 79(2), pages 437-452, March.
    See citations under working paper version above.
  12. Graham, Bryan S. & Hahn, Jinyong & Powell, James L., 2009. "The incidental parameter problem in a non-differentiable panel data model," Economics Letters, Elsevier, vol. 105(2), pages 181-182, November.

    Cited by:

    1. Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
    2. Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, C.E.P.R. Discussion Papers.
    3. Victor Chernozhukov & Iv'an Fern'andez-Val & Martin Weidner, 2018. "Network and Panel Quantile Effects Via Distribution Regression," Papers 1803.08154, arXiv.org, revised Jun 2020.
    4. Carolina Castagnetti, 2015. "The Analysis of the Gender Wage Gap in the Italian Public Sector: a Quantile Approach for Panel Data," DEM Working Papers Series 109, University of Pavia, Department of Economics and Management.
    5. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
    6. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    7. David Powell, 2020. "Does Labor Supply Respond to Transitory Income? Evidence from the Economic Stimulus Payments of 2008," Journal of Labor Economics, University of Chicago Press, vol. 38(1), pages 1-38.
    8. Carolina Castagnetti & Luisa Rosti & Marina Toepfer, 2019. "The Public-Private Sector Wage Differential Across Gender in Italy: a New Quantile-Based Decomposition Approach," DEM Working Papers Series 172, University of Pavia, Department of Economics and Management.
    9. Harding, Matthew & Lamarche, Carlos, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
    10. Sherrilyn Billger & Carlos Lamarche, 2015. "A panel data quantile regression analysis of the immigrant earnings distribution in the United Kingdom and United States," Empirical Economics, Springer, vol. 49(2), pages 705-750, September.
    11. David Powell, 2014. "Did the Economic Stimulus Payments of 2008 Reduce Labor Supply? Evidence from Quantile Panel Data Estimation," Working Papers WR-710-3, RAND Corporation.
    12. Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Pedro J. Hernández, 2020. "Reassessing the link between firm size and exports," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 207-223, June.
    14. Tansel, Aysit & Keskin, Halil Ibrahim & Ozdemir, Zeynel Abidin, 2020. "Public-private sector wage gap by gender in Egypt: Evidence from quantile regression on panel data, 1998–2018," World Development, Elsevier, vol. 135(C).
    15. Harding, Matthew & Lamarche, Carlos, 2013. "Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences," IZA Discussion Papers 7741, Institute of Labor Economics (IZA).
    16. Hernández Martínez, Pedro Jesús, 2016. "Reassessing the link between firm size and exports," Economics Discussion Papers 2016-25, Kiel Institute for the World Economy (IfW Kiel).
    17. Castagnetti, Carolina & Giorgetti, Maria Letizia, 2019. "Understanding the gender wage-gap differential between the public and private sectors in Italy: A quantile approach," Economic Modelling, Elsevier, vol. 78(C), pages 240-261.
    18. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.

  13. Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, May.

    Cited by:

    1. Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects," IZA Discussion Papers 10648, Institute of Labor Economics (IZA).
    2. Bryan A. Stuart & Evan J. Taylor, 2021. "Migration Networks and Location Decisions: Evidence from US Mass Migration," American Economic Journal: Applied Economics, American Economic Association, vol. 13(3), pages 134-175, July.
    3. Stephen L. Ross, 2009. "Social Interactions within Cities: Neighborhood Environments and Peer Relationships," Working papers 2009-31, University of Connecticut, Department of Economics.
    4. Steven N. Durlauf & Yannis M. Ioannides, 2009. "Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0739, Department of Economics, Tufts University.
    5. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
    6. Cartwright, Edward & Singh, Thomas B., 2018. "Observation and contagion effects in cooperation: An experimental investigation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 151-160.
    7. B. Jahanshahi, 2014. "Separating Gender Composition Effect from Peer Effects in Education," Working Papers wp932, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Julian Reif, 2018. "A Model of Addiction and Social Interactions," NBER Working Papers 24842, National Bureau of Economic Research, Inc.
    9. Lavergne, Pascal, 2015. "Assessing the Approximate Validity of Moment Restrictions," TSE Working Papers 15-562, Toulouse School of Economics (TSE), revised May 2020.
    10. Giacomo De Giorgi & Anders Frederiksen & Luigi Pistaferri, 2016. "Consumption Network Effects," NBER Working Papers 22357, National Bureau of Economic Research, Inc.
    11. Shuyang Sheng & Xiaoting Sun, 2023. "Social Interactions with Endogenous Group Formation," Papers 2306.01544, arXiv.org.
    12. Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2017.
    13. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
    14. Marisa Miraldo & Carol Propper & Christiern Rose, 2020. "Identification of Peer Effects using Panel Data," Discussion Papers Series 639, School of Economics, University of Queensland, Australia.
    15. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    16. Bryan S. Graham, 2014. "Methods of Identification in Social Networks," NBER Working Papers 20414, National Bureau of Economic Research, Inc.
    17. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
    18. Chen, Liang & Luo, Yao, 2023. "Empirical analysis of network effects in nonlinear pricing data," International Journal of Industrial Organization, Elsevier, vol. 91(C).
    19. Iversen, Jon Marius Vaag & Bonesrønning, Hans, 2015. "Conditional gender peer effects?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 55(C), pages 19-28.
    20. Koijen, Ralph & Gabaix, Xavier, 2020. "Granular Instrumental Variables," CEPR Discussion Papers 15531, C.E.P.R. Discussion Papers.
    21. Ammermüller, Andreas & Pischke, Jörn-Steffen, 2006. "Peer Effects in European Primary Schools: Evidence from PIRLS," ZEW Discussion Papers 06-027, ZEW - Leibniz Centre for European Economic Research.
    22. Iyer, S. & Weeks, M., 2009. "Social Interactions, Ethnicity and Fertility in Kenya," Cambridge Working Papers in Economics 0903, Faculty of Economics, University of Cambridge.
    23. Kelejian, Harry H. & Murrell, Peter & Shepotylo, Oleksandr, 2013. "Spatial spillovers in the development of institutions," Journal of Development Economics, Elsevier, vol. 101(C), pages 297-315.
    24. Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
    25. Koen Jochmans, 2023. "Testing Random Assignment To Peer Groups," Post-Print hal-04077423, HAL.
    26. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions and Malaria Preventive Behaviors in Sub-Saharan Africa," PSE Working Papers halshs-00940084, HAL.
    27. Edoardo Rainone, 2015. "Price transmission in the unsecured money market," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.
    28. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
    29. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    30. Aristide Houndetoungan & Cristelle Kouame & Michael Vlassopoulos, 2024. "Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students," Papers 2405.06850, arXiv.org.
    31. Brian Krauth, 2020. "Peers as treatments," Discussion Papers dp20-08, Department of Economics, Simon Fraser University.
    32. Houndetoungan, Aristide & Kouame, Cristelle & Vlassopoulos, Michael, 2024. "Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students," IZA Discussion Papers 16998, Institute of Labor Economics (IZA).
    33. Kasy, Maximilian, "undated". "Identification in a model of sorting with social externalities and the causes of urban segregation," Working Paper 32848, Harvard University OpenScholar.
    34. Corrado, Luisa & Fingleton, Bernard, 2011. "Where is the economics in spatial econometrics?," LSE Research Online Documents on Economics 33581, London School of Economics and Political Science, LSE Library.
    35. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    36. Jaromir Kovarik & Marco J. van der Leij, 2011. "Risk Aversion and Social Networks," Tinbergen Institute Discussion Papers 11-072/1, Tinbergen Institute.
    37. De Giorgi, Giacomo & Pellizzari, Michele, 2011. "Understanding Social Interactions: Evidence from the Classroom," IZA Discussion Papers 5624, Institute of Labor Economics (IZA).
    38. Francis Dania V. & de Oliveira Angela C. M. & Dimmitt Carey, 2019. "Do School Counselors Exhibit Bias in Recommending Students for Advanced Coursework?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(4), pages 1-17, October.
    39. Áureo de Paula, 2016. "Econometrics of network models," CeMMAP working papers CWP06/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    40. Yann Bramoullé & Bernard Fortin & Habiba Djebbari, 2012. "Do Peers Affect Student Achievement? Evidence from Canada Using Group Size Variation," CIRANO Working Papers 2012s-31, CIRANO.
    41. Ajirloo, Bahman Fathi & Switzer, Lorne N., 2022. "Self-disclosed peer effects on corporate capital structure," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    42. Yang, Muzhe & Huang, Rui, 2010. "Exposure to Obesity and Weight Gain among Adolescents," Research Reports 149944, University of Connecticut, Food Marketing Policy Center.
    43. Kwok, Hon Ho, 2019. "Identification and estimation of linear social interaction models," Journal of Econometrics, Elsevier, vol. 210(2), pages 434-458.
    44. Cicala, Steve & Fryer, Roland G. & Spenkuch, Jörg L., 2011. "A Roy Model of Social Interactions," MPRA Paper 29150, University Library of Munich, Germany.
    45. Piopiunik, Marc, 2014. "The effects of early tracking on student performance: Evidence from a school reform in Bavaria," Economics of Education Review, Elsevier, vol. 42(C), pages 12-33.
    46. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    47. Guido M. Kuersteiner & Ingmar R. Prucha & Ying Zeng, 2021. "Efficient Peer Effects Estimators with Group Effects," Papers 2105.04330, arXiv.org, revised Apr 2022.
    48. Nathaniel Baum-Snow & Fernando Ferreira, 2014. "Causal Inference in Urban and Regional Economics," NBER Working Papers 20535, National Bureau of Economic Research, Inc.
    49. Vincent Boucher & Finagnon A. Dedewanou & Arnaud Dufays, 2018. "Peer-Induced Beliefs Regarding College Participation," Cahiers de recherche 1817, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    50. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    51. Gioia de Melo, 2012. "Peer effects identified through social networks. Evidence from uruguayan schools," Documentos de Trabajo (working papers) 12-15, Instituto de Economía - IECON.
    52. Michael Gilraine & Hugh Macartney & Robert McMillan, 2020. "Estimating the Direct and Indirect Effects of Major Education Reforms," Working Papers tecipa-673, University of Toronto, Department of Economics.
    53. Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    54. Federico Crudu & Laura Neri & Silvia Tiezzi, 2020. "Family Ties and Child Obesity in Italy," Department of Economics University of Siena 845, Department of Economics, University of Siena.
    55. Eric Auerbach & Yong Cai, 2022. "Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices," Papers 2205.01246, arXiv.org, revised Oct 2022.
    56. Grennan, Jillian, 2019. "Dividend payments as a response to peer influence," Journal of Financial Economics, Elsevier, vol. 131(3), pages 549-570.
    57. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    58. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    59. Vincent Boucher & Bernard Fortin, 2015. "Some Challenges in the Empirics of the Effects of Networks," Cahiers de recherche 1504, CIRPEE.
    60. Yannis Ioannides, 2006. "Empirics of Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0611, Department of Economics, Tufts University.
    61. Cho, Hyunkuk & Glewwe, Paul & Whitler, Melissa, 2012. "Do reductions in class size raise students’ test scores? Evidence from population variation in Minnesota's elementary schools," Economics of Education Review, Elsevier, vol. 31(3), pages 77-95.
    62. Auld, M. Christopher, 2011. "Effect of large-scale social interactions on body weight," Journal of Health Economics, Elsevier, vol. 30(2), pages 303-316, March.
    63. Bruno Arpino & Luca De Benedictis & Alessandra Mattei, 2017. "Implementing propensity score matching with network data: the effect of the General Agreement on Tariffs and Trade on bilateral trade," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(3), pages 537-554, April.
    64. Chen, Xi & Kanbur, Ravi & Zhang, Xiaobo, 2011. "Peer effects, risk pooling, and status seeking: What explains gift spending escalation in rural China?," IFPRI discussion papers 1151, International Food Policy Research Institute (IFPRI).
    65. Laurent Davezies & Xavier d'Haultfoeuille & Denis Fougère, 2007. "Identification of Peer Using Group Size Variation," Working Papers 2007-34, Center for Research in Economics and Statistics.
    66. Michela Tincani, 2017. "Heterogeneous Peer Effects and Rank Concerns: Theory and Evidence," Working Papers 2017-006, Human Capital and Economic Opportunity Working Group.
    67. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
    68. Macartney, Hugh & Singleton, John D., 2018. "School boards and student segregation," Journal of Public Economics, Elsevier, vol. 164(C), pages 165-182.
    69. Marc Hallin & Marcelo Moreira J. & Alexei Onatski, 2013. "Group Invariance, Likelihood Ratio Tests, and the Incidental Parameter Problem in a High-Dimensional Linear Model," Working Papers ECARES ECARES 2013-04, ULB -- Universite Libre de Bruxelles.
    70. Bryan S. Graham & Geert Ridder & Petra Thiemann & Gema Zamarro, 2020. "Teacher-to-classroom assignment and student achievement," Papers 2007.02653, arXiv.org, revised Sep 2020.
    71. Ryan Yeung & Phuong Nguyen-Hoang, 2016. "Endogenous peer effects: Fact or fiction?," The Journal of Educational Research, Taylor & Francis Journals, vol. 109(1), pages 37-49, January.
    72. Bechara, Peggy & Eilers, Lea & Paloyo, Alfredo R., 2015. "In Good Company – Neighborhood Quality and Female Employment," Ruhr Economic Papers 535, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    73. Ariel Herbert Fambeu, 2018. "L'entourage influence‐t‐il le comportement informel des entreprises au Cameroun?," African Development Review, African Development Bank, vol. 30(4), pages 478-489, December.
    74. Galbiati, Roberto & Zanella, Giulio, 2012. "The tax evasion social multiplier: Evidence from Italy," Journal of Public Economics, Elsevier, vol. 96(5), pages 485-494.
    75. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2007. "Identification of Peer Effects through Social Networks," Cahiers de recherche 0705, CIRPEE.
    76. Sadat Reza & Puneet Manchanda & Juin-Kuan Chong, 2021. "Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups," Management Science, INFORMS, vol. 67(8), pages 5070-5105, August.
    77. Stefan Speckesser & Sophie Hedges, 2017. "Peer Effects and Social Influence in Post-16 Educational Choice," National Institute of Economic and Social Research (NIESR) Discussion Papers 483, National Institute of Economic and Social Research.
    78. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    79. Smirnov, Oleg A., 2010. "Modeling spatial discrete choice," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 292-298, September.
    80. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    81. Eliana Barrenho & Eric Gautier & Marisa Miraldo & Carol Propper & Christiern Rose, 2020. "Innovation Diffusion and Physician Networks: Keyhole Surgery for Cancer in the English NHS," Discussion Papers Series 638, School of Economics, University of Queensland, Australia.
    82. Gershenson, Seth & McBean, Jessica Rae & Tran, Long, 2018. "Quantile Regression Estimates of the Effect of Student Absences on Academic Achievement," IZA Discussion Papers 11912, Institute of Labor Economics (IZA).
    83. Bennett, Daniel & Chiang, Chun-Fang & Malani, Anup, 2015. "Learning during a crisis: The SARS epidemic in Taiwan," Journal of Development Economics, Elsevier, vol. 112(C), pages 1-18.
    84. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2009. "Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis," NBER Working Papers 14860, National Bureau of Economic Research, Inc.
    85. Arun Advani & Bansi Malde, 2014. "Empirical methods for networks data: social effects, network formation and measurement error," IFS Working Papers W14/34, Institute for Fiscal Studies.
    86. Feng, Shuaizhang & Kim, Jun Hyung & Yang, Zhe, 2021. "Effects of Childhood Peers on Personality Skills," GLO Discussion Paper Series 1004, Global Labor Organization (GLO).
    87. Guerra, José Alberto & Mohnen, Myra, 2022. "Multinominal choice with social interactions: occupations in Victorian London," LSE Research Online Documents on Economics 115715, London School of Economics and Political Science, LSE Library.
    88. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    89. Moretti, Enrico & Mas, Alexandre, 2006. "Peers at Work," CEPR Discussion Papers 5870, C.E.P.R. Discussion Papers.
    90. Sophie Hedges & Stefan Speckesser, 2017. "Peer Effects and Social Influence in Post-16 Educational Choice," CVER Research Papers 008, Centre for Vocational Education Research.
    91. Armstrong, Christopher S. & Glaeser, Stephen & Kepler, John D., 2019. "Strategic reactions in corporate tax planning," Journal of Accounting and Economics, Elsevier, vol. 68(1).
    92. Luis J. Hall, 2010. "Differentiated social interactions in the US schooling race gap," Working Papers. Serie AD 2010-17, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    93. Edoardo Rainone, 2015. "Testing information diffusion in the decentralized unsecured market for euro funds," Temi di discussione (Economic working papers) 1022, Bank of Italy, Economic Research and International Relations Area.
    94. Xiaodong Liu, 2020. "GMM identification and estimation of peer effects in a system of simultaneous equations," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-27, December.
    95. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    96. Maria Marchenko, 2019. "Endogenous Shocks in Social Networks: Exam Failures and Friends' Future Performance," Department of Economics Working Papers wuwp292, Vienna University of Economics and Business, Department of Economics.
    97. Ozkan Eren, 2017. "Differential Peer Effects, Student Achievement, and Student Absenteeism: Evidence From a Large-Scale Randomized Experiment," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 745-773, April.
    98. Arthur Lewbel & Xi Qu & Xun Tang, 2023. "Social Networks with Unobserved Links," Journal of Political Economy, University of Chicago Press, vol. 131(4), pages 898-946.
    99. ÖZGÜR, Onur & BISIN, Alberto, 2011. "Dynamic linear economies with social interactions," Cahiers de recherche 2011-03, Universite de Montreal, Departement de sciences economiques.
    100. Giacomo DeGiorgi, "undated". "Be As Careful Of The Company You Keep As Of The Books You Read. Peer Effects In Education And On The Labor Market," Discussion Papers 07-054, Stanford Institute for Economic Policy Research.
    101. Evgeny Yakovlev, 2016. "Demand for Alcohol Consumption and Implication for Mortality: Evidence from Russia," Working Papers w0221, Center for Economic and Financial Research (CEFIR).
    102. Liu, Xiaodong, 2017. "Identification of peer effects via a root estimator," Economics Letters, Elsevier, vol. 156(C), pages 168-171.
    103. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers 10/16, Institute for Fiscal Studies.
    104. Yannis M. Ioannides & Giorgio Topa, 2009. "Neighborhood Effects: Accomplishments and Looking Beyond Them," Discussion Papers Series, Department of Economics, Tufts University 0736, Department of Economics, Tufts University.
    105. Andreas Hagemann, 2017. "Cluster-Robust Bootstrap Inference in Quantile Regression Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 446-456, January.
    106. Olivier Monso & Denis Fougère & Pauline Givord & Claudine Pirus, 2019. "Les camarades influencent-ils la réussite et le parcours des élèves ? Une revue de littérature sur les effets de pairs dans l’enseignement primaire et secondaire," Working Papers hal-03456953, HAL.
    107. Lin, Zhongjian & Tang, Xun & Yu, Ning Neil, 2021. "Uncovering heterogeneous social effects in binary choices," Journal of Econometrics, Elsevier, vol. 222(2), pages 959-973.
    108. Heinesen, E. & Imai, S. & Maruyama, S., 2015. "In-utero social interaction of twins," Health, Econometrics and Data Group (HEDG) Working Papers 15/18, HEDG, c/o Department of Economics, University of York.
    109. Bet Caeyers, 2014. "Exclusion bias in empirical social interaction models: causes, consequences and solutions," CSAE Working Paper Series 2014-05, Centre for the Study of African Economies, University of Oxford.
    110. Vaughan Daniel, 2013. "Nurture vs. Nurture: Endogenous Parental and Peer Effects and the Transmission of Culture," Working Papers 2013-04, Banco de México.
    111. Alice Battiston & Sophie Hedges & Thomas Lazarowicz & Stefan Speckesser, 2020. "Peer Effects and Social Influence in Post-16 Educational Choice," CVER Research Papers 025, Centre for Vocational Education Research.
    112. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    113. David Puelz & Guillaume Basse & Avi Feller & Panos Toulis, 2022. "A graph‐theoretic approach to randomization tests of causal effects under general interference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 174-204, February.
    114. Roberto Galbiati & Giulio Zanella, 2008. "The Social Multiplier of Tax Evasion: Evidence from Italian Audit Data," Department of Economics University of Siena 539, Department of Economics, University of Siena.
    115. Arun Advani & Bansi Malde, 2018. "Methods to identify linear network models: a review," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-16, December.
    116. Hesselius, Patrik & Johansson, Per & Vikström, Johan, 2008. "Monitoring and norms in sickness insurance: empirical evidence from a natural experiment," Working Paper Series 2008:8, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    117. Andreas Hagemann, 2023. "Inference on quantile processes with a finite number of clusters," Papers 2301.04687, arXiv.org, revised Jun 2023.
    118. William A. Brock & Steven N. Durlauf, 2009. "Adoption Curves and Social Interactions," NBER Working Papers 15065, National Bureau of Economic Research, Inc.
    119. Roychowdhury, Punarjit, 2019. "Peer effects in consumption in India: An instrumental variables approach using negative idiosyncratic shocks," World Development, Elsevier, vol. 114(C), pages 122-137.
    120. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers CWP43/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    121. Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
    122. Rieck, Karsten Marshall Elseth & Vaage, Kjell, 2012. "Social Interactions At The Workplace: Exploring Sickness Absence Behavior," Working Papers in Economics 11/12, University of Bergen, Department of Economics.
    123. Murguia Baysse, Juan Manuel, 2013. "Essays on agricultural, financial economics and education," ISU General Staff Papers 201301010800004458, Iowa State University, Department of Economics.
    124. Evgeny Yakovlev, 2012. "Peers and Alcohol: Evidence from Russia," Working Papers w0182, New Economic School (NES).
    125. Elizabeth U. Cascio & Diane Whitmore Schanzenbach, 2016. "First in the Class? Age and the Education Production Function," Education Finance and Policy, MIT Press, vol. 11(3), pages 225-250, Summer.
    126. Michela Maria Tincani, 2017. "Heterogeneous Peer Effects and Rank Concerns: Theory and Evidence," CESifo Working Paper Series 6331, CESifo.
    127. Santiago Pereda-Fernández, 2017. "Social Spillovers in the Classroom: Identification, Estimation and Policy Analysis," Economica, London School of Economics and Political Science, vol. 84(336), pages 712-747, October.
    128. Kostas Mavromaras & Peter Dolton, 2017. "Identifying Social Network Effects," The Economic Record, The Economic Society of Australia, vol. 93, pages 1-15, June.
    129. Ali-Rind, Asad & Boubaker, Sabri & Jarjir, Souad Lajili, 2023. "Peer effects in financial economics: A literature survey," Research in International Business and Finance, Elsevier, vol. 64(C).
    130. Mora, Toni & Oreopoulos, Philip, 2011. "Peer effects on high school aspirations: Evidence from a sample of close and not-so-close friends," Economics of Education Review, Elsevier, vol. 30(4), pages 575-581, August.
    131. Lee, Hoan Soo, 2017. "Peer networks in venture capital," Journal of Empirical Finance, Elsevier, vol. 41(C), pages 19-30.
    132. Gonzalo Vazquez-Bare, 2020. "Causal Spillover Effects Using Instrumental Variables," Papers 2003.06023, arXiv.org, revised Dec 2021.
    133. Lenard, Matthew A. & Silliman, Mikko, 2024. "Informal Social Interactions, Academic Achievement and Behavior: Evidence from Peers on the School Bus," IZA Discussion Papers 16982, Institute of Labor Economics (IZA).
    134. Bogliaccini, Juan A. & Rodríguez, Federico, 2015. "Education system institutions and educational inequalities in Uruguay," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    135. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    136. Marchenko, Maria, 2019. "Dealing with Endogenous Shocks in Dynamic Friendship Network," Department of Economics Working Paper Series 291, WU Vienna University of Economics and Business.
    137. Lucifora, Claudio & Tonello, Marco, 2015. "Cheating and social interactions. Evidence from a randomized experiment in a national evaluation program," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 45-66.
    138. Vardardottir, Arna, 2013. "Peer effects and academic achievement: a regression discontinuity approach," Economics of Education Review, Elsevier, vol. 36(C), pages 108-121.
    139. Cohen-Cole, Ethan & Patacchini, Eleonora & Zenou, Yves, 2011. "Systemic Risk and Network Formation in the Interbank Market," Research Papers in Economics 2011:6, Stockholm University, Department of Economics.
    140. Brock,W.A. & Durlauf,S.N., 2005. "Social interactions and macroeconomics," Working papers 5, Wisconsin Madison - Social Systems.
    141. Liang Chen & Yao Luo, 2023. "Empirical Analysis of Network Effects in Nonlinear Pricing Data," Working Papers tecipa-758, University of Toronto, Department of Economics.
    142. Diego Carrasco-Novoa & Sandro D´ıez-Amigo & Shino Takayama, 2021. "The Impact of Peers on Academic Performance: Theory and Evidence from a Natural Experiment," Discussion Papers Series 644, School of Economics, University of Queensland, Australia.
    143. Andreas Ammermueller & Jörn-Steffen Pischke, 2009. "Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 315-348, July.
    144. Marcel Fafchamps & Di Mo, 2018. "Peer effects in computer assisted learning: evidence from a randomized experiment," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 355-382, June.
    145. De Giorgi, Giacomo & Pellizzari, Michele & Redaelli, Silvia, 2007. "Be as Careful of the Books You Read as of the Company You Keep: Evidence on Peer Effects in Educational Choices," IZA Discussion Papers 2833, Institute of Labor Economics (IZA).
    146. Laurent Davezies & Xavier D'Haultfoeuille & Denis Fougère, 2009. "Identification of peer effects using group size variation," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 397-413, November.
    147. van der Laan Mark J. & Petersen Maya & Zheng Wenjing, 2013. "Estimating the Effect of a Community-Based Intervention with Two Communities," Journal of Causal Inference, De Gruyter, vol. 1(1), pages 83-106, June.
    148. Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
    149. Philip Oreopoulos, 2008. "Neighbourhood Effects in Canada: A Critique," Canadian Public Policy, University of Toronto Press, vol. 34(2), pages 237-258, June.
    150. Vardardottir, Arna, 2015. "The impact of classroom peers in a streaming system," Economics of Education Review, Elsevier, vol. 49(C), pages 110-128.
    151. Mingdi Wang & Biao Luo, 2024. "Research Progress of Peer Effects in Consumption Based on CiteSpace Analysis," Sustainability, MDPI, vol. 16(15), pages 1-22, July.

  14. Bryan Graham & Jonathan Temple, 2006. "Rich Nations, Poor Nations: How Much Can Multiple Equilibria Explain?," Journal of Economic Growth, Springer, vol. 11(1), pages 5-41, March.
    See citations under working paper version above.
  15. Graham, Bryan S. & Hahn, Jinyong, 2005. "Identification and estimation of the linear-in-means model of social interactions," Economics Letters, Elsevier, vol. 88(1), pages 1-6, July.

    Cited by:

    1. Carrión-Flores, Carmen & Irwin, Elena G., 2010. "Identifying spatial interactions in the presence of spatial error autocorrelation: An application to land use spillovers," Resource and Energy Economics, Elsevier, vol. 32(2), pages 135-153, April.
    2. Brock,W.A. & Durlauf,S.N., 2004. "Identification of binary choice models with social interactions," Working papers 2, Wisconsin Madison - Social Systems.
    3. Simon K.C. Cheung, 2017. "A Localized Model for Residential Property Valuation: Nearest Neighbor with Attribute Differences," International Real Estate Review, Global Social Science Institute, vol. 20(2), pages 221-250.
    4. Giacomo De Giorgi & Anders Frederiksen & Luigi Pistaferri, 2016. "Consumption Network Effects," NBER Working Papers 22357, National Bureau of Economic Research, Inc.
    5. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
    6. Natallia Gray & Gabriel Picone, 2018. "Evidence of Large-Scale Social Interactions in Mammography in the United States," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(4), pages 441-457, December.
    7. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
    8. Grodner, Andrew & Kniesner, Thomas J. & Bishop, John A., 2011. "Social Interactions in the Labor Market," Foundations and Trends(R) in Microeconomics, now publishers, vol. 6(4), pages 265-366, September.
    9. Luisa Corrado & Roberta Distante & Majlinda Joxhe, 2019. "Body mass index and social interactions from adolescence to adulthood," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(4), pages 425-445, October.
    10. Bruhin, Adrian & Goette, Lorenz & Haenni, Simon & Jiang, Lingqing, 2020. "Spillovers of prosocial motivation: Evidence from an intervention study on blood donors," Journal of Health Economics, Elsevier, vol. 70(C).
    11. Patacchini, Eleonora & Bisin, Alberto, 2019. "Dynamic Social Interactions and Health Risk Behavior," CEPR Discussion Papers 13918, C.E.P.R. Discussion Papers.
    12. Canning, David & Günther, Isabel & Linnemayr, Sebastian & Bloom, David, 2013. "Fertility choice, mortality expectations, and interdependent preferences—An empirical analysis," European Economic Review, Elsevier, vol. 63(C), pages 273-289.
    13. John Knight & Ramani Gunatilaka, 2017. "Is Happiness Infectious?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(1), pages 1-24, February.
    14. Georges Dieudonné Mbondo & Novice Patrick Bakehe & Ariel Herbert Fambeu, 2022. "Is informality contagious? An analysis of the effects of social conformism on the formalization of small business," Economics Bulletin, AccessEcon, vol. 42(2), pages 317-329.
    15. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions and Malaria Preventive Behaviors in Sub-Saharan Africa," PSE Working Papers halshs-00940084, HAL.
    16. Simone Celant, 2013. "The analysis of students’ academic achievement: the evaluation of peer effects through relational links," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 615-631, February.
    17. William A. Brock & Steven N. Durlauf, 2003. "Multinomial Choice with Social Interactions," NBER Technical Working Papers 0288, National Bureau of Economic Research, Inc.
    18. Zacharias Ziegelhöfer, 2012. "Down with diarrhea: Using fuzzy Regression Discontinuity Design to link communal water supply with health," IHEID Working Papers 05-2012, Economics Section, The Graduate Institute of International Studies, revised 26 Mar 2012.
    19. Yang, Muzhe & Huang, Rui, 2010. "Exposure to Obesity and Weight Gain among Adolescents," Research Reports 149944, University of Connecticut, Food Marketing Policy Center.
    20. Chi Feng & Yang Nathan, 2011. "Twitter Adoption in Congress," Review of Network Economics, De Gruyter, vol. 10(1), pages 1-46, March.
    21. Alberto Bisin & Andrea Moro & Giorgio Topa, 2011. "The empirical content of models with multiple equilibria in economies with social interactions," Staff Reports 504, Federal Reserve Bank of New York.
    22. Blume,L.E. & Durlauf,S.N., 2005. "Identifying social interactions : a review," Working papers 12, Wisconsin Madison - Social Systems.
    23. Auld, M. Christopher, 2011. "Effect of large-scale social interactions on body weight," Journal of Health Economics, Elsevier, vol. 30(2), pages 303-316, March.
    24. Laurent Davezies & Xavier d'Haultfoeuille & Denis Fougère, 2007. "Identification of Peer Using Group Size Variation," Working Papers 2007-34, Center for Research in Economics and Statistics.
    25. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
    26. Bansal, Sangeeta & Khanna, Madhu & Sydlowski, Joseph, 2021. "Incentives for corporate social responsibility in India: Mandate, peer pressure and crowding-out effects," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    27. Hirano, Keisuke & Hahn, Jinyong, 2010. "Design of randomized experiments to measure social interaction effects," Economics Letters, Elsevier, vol. 106(1), pages 51-53, January.
    28. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2007. "Identification of Peer Effects through Social Networks," Cahiers de recherche 0705, CIRPEE.
    29. Cheung, Tommy King-Yin & Wong, Wai-hung & Zhang, Anming & Wu, Yangming, 2020. "Spatial panel model for examining airport relationships within multi-airport regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 148-163.
    30. Guerra, José Alberto & Mohnen, Myra, 2022. "Multinominal choice with social interactions: occupations in Victorian London," LSE Research Online Documents on Economics 115715, London School of Economics and Political Science, LSE Library.
    31. Grodner, Andrew & Kniesner, Thomas J., 2007. "Labor Supply with Social Interactions: Econometric Estimates and Their Tax Policy Implications," IZA Discussion Papers 3034, Institute of Labor Economics (IZA).
    32. Giovanni Abbiati & Jonathan Pratschke, 2021. "‘Like with Like’ or ‘Do Like’? Modelling Peer Effects in The Classroom," CSEF Working Papers 603, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    33. Arthur Lewbel & Xi Qu & Xun Tang, 2023. "Social Networks with Unobserved Links," Journal of Political Economy, University of Chicago Press, vol. 131(4), pages 898-946.
    34. ÖZGÜR, Onur & BISIN, Alberto, 2011. "Dynamic linear economies with social interactions," Cahiers de recherche 2011-03, Universite de Montreal, Departement de sciences economiques.
    35. Giacomo DeGiorgi, "undated". "Be As Careful Of The Company You Keep As Of The Books You Read. Peer Effects In Education And On The Labor Market," Discussion Papers 07-054, Stanford Institute for Economic Policy Research.
    36. Ariel H. Fambeu, 2019. "Peer Effect and Environmental Responsibility of Enterprises in a Sub-Saharan African Country," Economics Bulletin, AccessEcon, vol. 39(2), pages 1084-1094.
    37. Steven N. Durlauf & Hisatoshi Tanaka, 2008. "Understanding Regression Versus Variance Tests For Social Interactions," Economic Inquiry, Western Economic Association International, vol. 46(1), pages 25-28, January.
    38. Giorgio Topa & Elizabeth Setren & Meta Brown, 2011. "Do Referrals Lead to Better Matches? Evidence from a Firm's Employee," 2011 Meeting Papers 711, Society for Economic Dynamics.
    39. Jason Fletcher, 2013. "Social Interactions And College Enrollment: Evidence From The National Education Longitudinal Study," Contemporary Economic Policy, Western Economic Association International, vol. 31(4), pages 762-778, October.
    40. Lin, Zhongjian & Tang, Xun & Yu, Ning Neil, 2021. "Uncovering heterogeneous social effects in binary choices," Journal of Econometrics, Elsevier, vol. 222(2), pages 959-973.
    41. Bet Caeyers, 2014. "Exclusion bias in empirical social interaction models: causes, consequences and solutions," CSAE Working Paper Series 2014-05, Centre for the Study of African Economies, University of Oxford.
    42. Jesse A. Matheson, 2015. "Prices and social behaviour: Evidence from adult smoking in Canadian Aboriginal communities," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(5), pages 1661-1693, December.
    43. Fang, Hang & Chen, Qianheng & Delgado, Michael S. & He, Qinying, 2023. "Peer correlations in income: Evidence from a Guanxi network in rural China," Economics Letters, Elsevier, vol. 222(C).
    44. Vaughan Daniel, 2013. "Nurture vs. Nurture: Endogenous Parental and Peer Effects and the Transmission of Culture," Working Papers 2013-04, Banco de México.
    45. David Puelz & Guillaume Basse & Avi Feller & Panos Toulis, 2022. "A graph‐theoretic approach to randomization tests of causal effects under general interference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 174-204, February.
    46. Hesselius, Patrik & Johansson, Per & Vikström, Johan, 2008. "Monitoring and norms in sickness insurance: empirical evidence from a natural experiment," Working Paper Series 2008:8, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    47. Ciliberto, Federico & Miller, Amalia & Skyt Nielsen, Helena & Simonsen, Marianne, 2013. "Playing the Fertility Game at Work: An Equilibrium Model of Peer Effects," MPRA Paper 45914, University Library of Munich, Germany.
    48. Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
    49. Tommy K. Y. Cheung & Simon K. C. Cheung, 2020. "Spatial dependence model with feature difference," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 615-627, July.
    50. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    51. Brock,W.A. & Durlauf,S.N., 2005. "Social interactions and macroeconomics," Working papers 5, Wisconsin Madison - Social Systems.
    52. De Giorgi, Giacomo & Pellizzari, Michele & Redaelli, Silvia, 2007. "Be as Careful of the Books You Read as of the Company You Keep: Evidence on Peer Effects in Educational Choices," IZA Discussion Papers 2833, Institute of Labor Economics (IZA).
    53. David E. Bloom & David Canning & Isabel Günther & Sebastian Linnemayr, 2008. "Social Interactions and Fertility in Developing Countries," PGDA Working Papers 3408, Program on the Global Demography of Aging.
    54. Lea Eilers & Alfredo R. Paloyo & Peggy Bechara, 2022. "The effect of peer employment and neighborhood characteristics on individual employment," Empirical Economics, Springer, vol. 62(4), pages 1885-1908, April.
    55. Entorf, Horst & Tatsi, Eirini, 2009. "Migrants at School: Educational Inequality and Social Interaction in the UK and Germany," IZA Discussion Papers 4175, Institute of Labor Economics (IZA).
    56. Laurent Davezies & Xavier D'Haultfoeuille & Denis Fougère, 2009. "Identification of peer effects using group size variation," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 397-413, November.

  16. David E. Bloom & David Canning & Bryan Graham, 2003. "Longevity and Life‐cycle Savings," Scandinavian Journal of Economics, Wiley Blackwell, vol. 105(3), pages 319-338, September.
    See citations under working paper version above.
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