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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," CeMMAP working papers 01/24, 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. Okuno, Akifumi & Yano, Keisuke, 2023. "Dependence of variance on covariate design in nonparametric link regression," Statistics & Probability Letters, Elsevier, vol. 193(C).
    2. Konrad Menzel, 2023. "Transfer Estimates for Causal Effects across Heterogeneous Sites," Papers 2305.01435, arXiv.org, revised Feb 2024.

  3. 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. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    3. Eric Auerbach, 2022. "Testing for Differences in Stochastic Network Structure," Econometrica, Econometric Society, vol. 90(3), pages 1205-1223, May.
    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.

  4. 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. 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).
    2. 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.

  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. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," Papers 2108.04852, arXiv.org, revised Dec 2023.
    2. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    3. Konrad Menzel, 2021. "Bootstrap With Cluster‐Dependence in Two or More Dimensions," Econometrica, Econometric Society, vol. 89(5), pages 2143-2188, September.
    4. 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 & 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. 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.
    3. Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2021. "Multiway empirical likelihood," Papers 2108.04852, arXiv.org, revised Dec 2023.
    4. 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.
    5. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    6. 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.
    7. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
    8. 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.
    9. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    10. 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.
    11. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. W K Newey & S Stouli, 2022. "Heterogeneous coefficients, control variables and identification of multiple treatment effects [Multivalued treatments and decomposition analysis: An application to the WIA program]," Biometrika, Biometrika Trust, vol. 109(3), pages 865-872.
    6. Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
    7. Alejandro Sanchez-Becerra, 2022. "The Network Propensity Score: Spillovers, Homophily, and Selection into Treatment," Papers 2209.14391, arXiv.org.
    8. 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.
    9. 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.
    10. 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. 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.
    4. 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.
    5. Patacchini, Eleonora & Battaglini, Marco & Rainone, Edoardo, 2019. "Endogenous Social Connections in Legislatures," CEPR Discussion Papers 13845, C.E.P.R. Discussion Papers.
    6. Jason Fletcher & Stephen Ross & Yuxiu Zhang, 2019. "The Consequences of Friendships: Evidence on the Effect of Social Relationships in School on Academic Achievement," Working Papers 2019-043, Human Capital and Economic Opportunity Working Group.
    7. Koen Jochmans & Martin Weidner, 2016. "Fixed-effect regressions on network data," CeMMAP working papers 32/16, Institute for Fiscal Studies.
    8. Jiaying Gu & Roger Koenker, 2021. "Ranking and Selection from Pairwise Comparisons: Empirical Bayes Methods for Citation Analysis," Papers 2112.11064, arXiv.org.
    9. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    10. 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.
    11. Eric Auerbach, 2019. "Testing for Differences in Stochastic Network Structure," Papers 1903.11117, arXiv.org, revised Nov 2020.
    12. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. 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.
    14. 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.
    15. Shujie Ma & Liangjun Su & Yichong Zhang, 2020. "Detecting Latent Communities in Network Formation Models," Papers 2005.03226, arXiv.org, revised Mar 2021.
    16. 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.
    17. 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).
    18. 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.
    19. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
    20. Garcia Alvarado Fernando & Mandel Antoine, 2022. "The network structure of global tax evasion Evidence from the Panama Papers," Post-Print hal-03881348, HAL.
    21. Geert Ridder & Shuyang Sheng, 2020. "Two-Step Estimation of a Strategic Network Formation Model with Clustering," Papers 2001.03838, arXiv.org, revised Nov 2022.
    22. 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.
    23. 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.
    24. 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.
    25. Monica Billio & Roberto Casarin & Matteo Iacopini, 2018. "Bayesian Markov Switching Tensor Regression for Time-varying Networks," Working Papers 2018:14, Department of Economics, University of Venice "Ca' Foscari".
    26. Denis Kojevnikov & Vadim Marmer & Kyungchul Song, 2019. "Limit Theorems for Network Dependent Random Variables," Papers 1903.01059, arXiv.org, revised Feb 2021.
    27. Wayne Yuan Gao & Ming Li & Sheng Xu, 2020. "Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities," Papers 2001.00691, arXiv.org, revised Jul 2021.
    28. 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.
    29. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Working Papers 2022-02, Grenoble Applied Economics Laboratory (GAEL).
    30. 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.
    31. 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.
    32. 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.
    33. Junhui Cai & Dan Yang & Wu Zhu & Haipeng Shen & Linda Zhao, 2021. "Network regression and supervised centrality estimation," Papers 2111.12921, arXiv.org.
    34. Liyu Dou & Jakub Kastl & John Lazarev, 2020. "Quantifying Delay Externalities in Airline Networks," Working Papers 2020-65, Princeton University. Economics Department..
    35. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    36. Jun Sung Kim & Eleonora Patacchini & Pierre M. Picard & Yves Zenou, 2023. "Spatial interactions," Quantitative Economics, Econometric Society, vol. 14(4), pages 1295-1335, November.
    37. Han, Ruijian & Chen, Kani & Tan, Chunxi, 2020. "Bivariate gamma model," Journal of Multivariate Analysis, Elsevier, vol. 180(C).
    38. Michael P. Leung, 2020. "Equilibrium computation in discrete network games," Quantitative Economics, Econometric Society, vol. 11(4), pages 1325-1347, November.
    39. 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.
    40. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit," MPRA Paper 110034, University Library of Munich, Germany.
    41. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    42. 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.
    43. Michael P. Leung, 2019. "Inference in Models of Discrete Choice with Social Interactions Using Network Data," Papers 1911.07106, arXiv.org.
    44. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    45. 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.
    46. Hossein Alidaee & Eric Auerbach & Michael P. Leung, 2020. "Recovering Network Structure from Aggregated Relational Data using Penalized Regression," Papers 2001.06052, arXiv.org.
    47. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    48. 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.
    49. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. 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.
    56. Brice Romuald Gueyap Kounga, 2023. "Nonparametric Regression with Dyadic Data," Papers 2310.12825, arXiv.org.
    57. 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.
    58. 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.
    59. St'ephane Bonhomme & Kevin Dano, 2023. "Functional Differencing in Networks," Papers 2307.11484, arXiv.org.
    60. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    61. 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.
    62. Luis E. Candelaria & Yichong Zhang, 2024. "Robust Inference in Locally Misspecified Bipartite Networks," Papers 2403.13725, arXiv.org.
    63. 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.
    64. 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.
    65. Alejandro Sanchez-Becerra, 2022. "The Network Propensity Score: Spillovers, Homophily, and Selection into Treatment," Papers 2209.14391, arXiv.org.
    66. 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.
    67. Lee, Jiyon, 2018. "A spatial latent class model," Economics Letters, Elsevier, vol. 162(C), pages 62-68.
    68. 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.
    69. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
    70. Harold D Chiang & Yuya Sasaki, 2023. "On Using The Two-Way Cluster-Robust Standard Errors," Papers 2301.13775, arXiv.org.
    71. Zenou, Yves & Patacchini, Eleonora & picard, pierre & Kim, Jun Sung, 2017. "Urban Interactions," CEPR Discussion Papers 12432, C.E.P.R. Discussion Papers.
    72. 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.
    73. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    74. 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.
    75. 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.
    76. 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.
    77. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    78. 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.
    79. Bryan S. Graham, 2020. "Sparse network asymptotics for logistic regression," Papers 2010.04703, arXiv.org.
    80. Martin Mugnier, 2022. "A Simple and Computationally Trivial Estimator for Grouped Fixed Effects Models," Papers 2203.08879, arXiv.org, revised Dec 2023.
    81. 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.
    82. Adriana Lleras-Muney & Matthew Miller & Shuyang Sheng & Veronica Sovero, 2022. "Party On: The Labor Market Returns to Social Networks in Adolescence," Papers 2210.09426, arXiv.org, revised Mar 2024.
    83. 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.
    84. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    85. Leung, Michael P., 2019. "A weak law for moments of pairwise stable networks," Journal of Econometrics, Elsevier, vol. 210(2), pages 310-326.
    86. 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.
    87. Mingli Chen & Kengo Kato & Chenlei Leng, 2019. "Analysis of Networks via the Sparse $\beta$-Model," Papers 1908.03152, arXiv.org, revised Dec 2020.
    88. 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.
    89. 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.

  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. Sato, Yasuhiro & Zenou, Yves, 2019. "Assimilation Patterns in Cities," IZA Discussion Papers 12751, Institute of Labor Economics (IZA).
    3. Goette, Lorenz & Bruhin, Adrian & Haenni, Simon & Jiang, Lingqing, 2015. "Spillovers of Prosocial Motivation: Evidence from an Intervention Study on Blood Donors," CEPR Discussion Papers 10345, C.E.P.R. Discussion Papers.
    4. 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.
    5. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    6. 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.
    7. John List & Fatemeh Momeni & Michael Vlassopoulos & Yves Zenou, 2023. "The Social Side of Early Human Capital Formation: Using a Field Experiment to Estimate the Causal Impact of Neighborhoods," Framed Field Experiments 00722, The Field Experiments Website.
    8. 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.
    9. Mohit Agrawal & Joseph G. Altonji & Richard K. Mansfield, 2019. "Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting," Journal of Labor Economics, University of Chicago Press, vol. 37(S1), pages 11-83.
    10. 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.
    11. 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.
    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. 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.
    15. Jan Bietenbeck & Natalie Irmert & Linn Mattisson & Felix Weinhardt, 2023. "Autonomous schools, achievement and segregation," CEP Discussion Papers dp1968, Centre for Economic Performance, LSE.
    16. 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.
    17. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    18. Lundberg, Shelly, 2022. "Gender Economics: Dead-Ends and New Opportunities," IZA Discussion Papers 15217, Institute of Labor Economics (IZA).
    19. Dionissi Aliprantis, 2019. "Racial Inequality, Neighborhood Effects, and Moving to Opportunity," Economic Commentary, Federal Reserve Bank of Cleveland, issue October.
    20. Dionissi Aliprantis & Kristen Tauber & Hal Martin, 2022. "What Determines the Success of Housing Mobility Programs?," Working Papers 2022-043, Human Capital and Economic Opportunity Working Group.
    21. 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).
    22. 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.
    23. Dionissi Aliprantis & Hal Martin, 2020. "Neighborhood Sorting Obscures Neighborhood Effects in the Opportunity Atlas," Working Papers 20-37, Federal Reserve Bank of Cleveland.
    24. Oosterbeek, Hessel & Sóvágó, Sándor & van der Klaauw, Bas, 2021. "Preference heterogeneity and school segregation," Journal of Public Economics, Elsevier, vol. 197(C).
    25. Cristina Bratu & Matz Dahlberg & Madhinee Valeyatheepillay, 2021. "Age at Arrival and Residential Integration," CESifo Working Paper Series 9181, CESifo.
    26. 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.
    27. 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.
    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 & 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. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    3. 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.
    4. Fateh Belaïd & Ahmed Elsayed & Anis Omri, 2021. "Key drivers of renewable energy deployment in the MENA Region: Empirical evidence using panel quantile regression," Post-Print hal-03272568, HAL.
    5. Ming Li, 2021. "A Time-Varying Endogenous Random Coefficient Model with an Application to Production Functions," Papers 2110.00982, arXiv.org.
    6. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    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. 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.
    9. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    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. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.
    13. 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.
    14. 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.
    15. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    16. Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," Papers 1912.02151, arXiv.org, revised Aug 2022.
    17. 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.
    18. 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.
    19. 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.
    20. 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).
    21. 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).
    22. 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).

  12. 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. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Kevin Dano, 2023. "Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models," Papers 2303.00083, arXiv.org, revised Dec 2023.
    4. Nicolas Carayol, 2017. "Unintended triadic closure in social networks: The strategic formation of research collaborations between French inventors," Post-Print hal-02274634, HAL.
    5. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    6. Battaglini, Marco & Crawford, Forrest & Patacchini, Eleonora & Peng, Sida, 2020. "A Graphical Lasso Approach to Estimating Network Connections: The Case of U.S. Lawmakers," CEPR Discussion Papers 15041, C.E.P.R. Discussion Papers.
    7. 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.
    8. 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).
    9. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
    10. Garcia Alvarado Fernando & Mandel Antoine, 2022. "The network structure of global tax evasion Evidence from the Panama Papers," Post-Print hal-03881348, HAL.
    11. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    12. Wayne Yuan Gao & Ming Li & Sheng Xu, 2020. "Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities," Papers 2001.00691, arXiv.org, revised Jul 2021.
    13. 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.
    14. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. 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.
    16. 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.
    17. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    18. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    19. Yariv, Leeat & Jackson, Matthew O. & Nei, Stephen & Snowberg, Erik, 2023. "The Dynamics of Networks and Homophily," CEPR Discussion Papers 17809, C.E.P.R. Discussion Papers.
    20. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    21. 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.
    22. 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.
    23. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    25. Boucher, Vincent, 2020. "Equilibrium homophily in networks," European Economic Review, Elsevier, vol. 123(C).
    26. 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.
    27. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    28. Leung, Michael P., 2019. "A weak law for moments of pairwise stable networks," Journal of Econometrics, Elsevier, vol. 210(2), pages 310-326.
    29. 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.

  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. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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).
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Yuya Sasaki & Takuya Ura, 2021. "Slow Movers in Panel Data," Papers 2110.12041, arXiv.org.
    15. 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.

  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. Koen Jochmans, 2018. "Semiparametric Analysis of Network Formation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 705-713, October.
    2. Koen Jochmans & Martin Weidner, 2016. "Fixed-effect regressions on network data," CeMMAP working papers 32/16, Institute for Fiscal Studies.
    3. Koen Jochmans, 2015. "Two-way models for gravity," SciencePo Working papers Main hal-01114776, HAL.
    4. Bryan S. Graham, 2016. "Homophily and Transitivity in Dynamic Network Formation," NBER Working Papers 22186, National Bureau of Economic Research, Inc.
    5. 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.
    6. 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.
    7. 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.
    8. Bryan S. Graham, 2014. "Methods of Identification in Social Networks," NBER Working Papers 20414, National Bureau of Economic Research, Inc.
    9. 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," Working Papers hal-03459820, HAL.
    10. 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.
    11. 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.
    12. Vincent Boucher, 2014. "Conformism and Self-Selection in Social Networks," Cahiers de recherche 1424, CIRPEE.
    13. Harsh Gupta & Mason A. Porter, 2020. "Mixed Logit Models and Network Formation," Papers 2006.16516, arXiv.org, revised Aug 2022.
    14. 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. González, Felipe, 2020. "Collective action in networks: Evidence from the Chilean student movement," Journal of Public Economics, Elsevier, vol. 188(C).
    3. Andrew B. Bernard & Andreas Moxnes, 2018. "Networks and Trade," NBER Working Papers 24556, National Bureau of Economic Research, Inc.
    4. Konstantin B chel & Maximilian von Ehrlich, 2016. "Cities and the Structure of Social Interactions: Evidence from Mobile Phone Data," Diskussionsschriften dp1608, Universitaet Bern, Departement Volkswirtschaft.
    5. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    6. 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).
    7. 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).
    8. 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.
    9. Eric Auerbach, 2019. "Testing for Differences in Stochastic Network Structure," Papers 1903.11117, arXiv.org, revised Nov 2020.
    10. Bryan S. Graham, 2016. "Homophily and Transitivity in Dynamic Network Formation," NBER Working Papers 22186, National Bureau of Economic Research, Inc.
    11. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    12. Gao, Xing & Ladley, Daniel, 2022. "Statistical arbitrage and risk contagion," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    13. 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.
    14. 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.
    15. Áureo de Paula & Seth Richards-Shubik & Elie Tamer, 2017. "Identifying preferences in networks with bounded degree," CeMMAP working papers CWP35/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Ioannides, Yannis M., 2015. "Neighborhoods to nations via social interactions," Economic Modelling, Elsevier, vol. 48(C), pages 5-15.
    17. 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.
    18. Wayne Yuan Gao & Ming Li & Sheng Xu, 2020. "Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities," Papers 2001.00691, arXiv.org, revised Jul 2021.
    19. 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.
    20. 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.
    21. 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.
    22. Zenou, Yves & Patacchini, Eleonora & Rainone, Edoardo, 2014. "Heterogeneous Peer Effects in Education," CEPR Discussion Papers 9804, C.E.P.R. Discussion Papers.
    23. 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.
    24. 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.
    25. Liyu Dou & Jakub Kastl & John Lazarev, 2020. "Quantifying Delay Externalities in Airline Networks," Working Papers 2020-65, Princeton University. Economics Department..
    26. Áureo de Paula, 2020. "Econometric Models of Network Formation," CeMMAP working papers CWP4/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. 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," Working Papers hal-03459820, HAL.
    28. 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.
    29. 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.
    30. Zenou, Yves & Lindquist, Matthew, 2019. "Crime and Networks: 10 Policy Lessons," CEPR Discussion Papers 13823, C.E.P.R. Discussion Papers.
    31. 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.
    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. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    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. Brice Romuald Gueyap Kounga, 2023. "Identification and Estimation of a Semiparametric Logit Model using Network Data," Papers 2310.07151, arXiv.org.
    37. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    38. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    40. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. George Judge, 2016. "Econometric Information Recovery in Behavioral Networks," Econometrics, MDPI, vol. 4(3), pages 1-11, September.
    47. Lindquist, Matthew J. & Sauermann, Jan & Zenou, Yves, 2022. "Peer Effects in the Workplace: A Network Approach," IZA Discussion Papers 15131, Institute of Labor Economics (IZA).
    48. Eric Auerbach, 2019. "Identification and Estimation of a Partially Linear Regression Model using Network Data," Papers 1903.09679, arXiv.org, revised Jun 2021.
    49. 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.
    50. 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.
    51. , 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.
    52. Wayne Yuan Gao, 2017. "Nonparametric Identification in Index Models of Link Formation," Papers 1710.11230, arXiv.org, revised May 2018.
    53. Patacchini, Eleonora & Arduini, Tiziano, 2016. "Residential Choices of Young Americans," IZA Discussion Papers 10186, Institute of Labor Economics (IZA).
    54. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers 43/15, Institute for Fiscal Studies.
    55. Harsh Gupta & Mason A. Porter, 2020. "Mixed Logit Models and Network Formation," Papers 2006.16516, arXiv.org, revised Aug 2022.
    56. Fershtman, Chaim & Persitz, Dotan, 2018. "Social Clubs and Social Networks," CEPR Discussion Papers 12874, C.E.P.R. Discussion Papers.
    57. 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.
    58. 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.
    59. Bryan S. Graham, 2016. "Homophily and transitivity in dynamic network formation," CeMMAP working papers 16/16, Institute for Fiscal Studies.
    60. Zenou, Yves, 2014. "Key Players," CEPR Discussion Papers 10277, C.E.P.R. Discussion Papers.
    61. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
    62. Del Bello, Carlo L. & Patacchini, Eleonora & Zenou, Yves, 2015. "Neighborhood Effects in Education," IZA Discussion Papers 8956, Institute of Labor Economics (IZA).
    63. 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.
    64. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    65. 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.
    66. 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.

  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. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    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. 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.
    4. 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 2023.
    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. 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.
    8. 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.
    9. Deng, Zichen & Lindeboom, Maarten, 2021. "Early-Life Famine Exposure, Hunger Recall and Later-Life Health," IZA Discussion Papers 14487, Institute of Labor Economics (IZA).
    10. 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.
    11. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    12. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    13. 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.
    14. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
    15. 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.
    16. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    17. 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.
    18. Doerr Annabelle & Strittmatter Anthony, 2021. "Identifying Causal Channels of Policy Reforms with Multiple Treatments and Different Types of Selection," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 67-88, January.
    19. 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.
    20. 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.
    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. 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.
    23. 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.
    24. 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 Apr 2024.
    25. 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.
    26. 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.
    27. 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.
    28. Atsushi Inoue & Tong Li & Qi Xu, 2021. "Two Sample Unconditional Quantile Effect," Papers 2105.09445, arXiv.org.
    29. Yanqin Fan & Hyeonseok Park & Gaoqian Xu, 2023. "Quantifying Distributional Model Risk in Marginal Problems via Optimal Transport," Papers 2307.00779, arXiv.org.
    30. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    31. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.

  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. Xavier d'Haultfoeuille & Roland Rathelot, 2011. "Measuring Segregation on Small Units : A Partial Identification Analysis," Working Papers 2011-18, Center for Research in Economics and Statistics.
    3. Jonas Hjort, 2013. "Ethnic Divisions and Production in Firms," CESifo Working Paper Series 4449, CESifo.
    4. Ulrike Unterhofer, 2022. "Peer Effects in Labor Market Training," Papers 2211.12366, arXiv.org, revised Jun 2023.
    5. Pål Schøne & Kristine von Simson & Marte Strøm, 2020. "Peer gender and educational choices," Empirical Economics, Springer, vol. 59(4), pages 1763-1797, October.
    6. 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.
    7. 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.
    8. Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Jul 2022.
    9. Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised Dec 2023.
    10. 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).
    11. 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).
    12. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
    13. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
    14. 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.
    15. Thiemann, Petra, 2017. "The Persistent Effects of Short-Term Peer Groups in Higher Education," IZA Discussion Papers 11024, Institute of Labor Economics (IZA).
    16. 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).
    17. Chih‐Sheng Hsieh & Hans van Kippersluis, 2018. "Smoking initiation: Peers and personality," Quantitative Economics, Econometric Society, vol. 9(2), pages 825-863, July.
    18. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    19. Maximilian Kasy & Alexander Teytelboym, 2023. "Matching with semi-bandits," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 45-66.
    20. 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.
    21. Maximilian Kasy & Alexander Teytelboym, 2020. "Adaptive Combinatorial Allocation," Papers 2011.02330, arXiv.org.
    22. Kasy, Maximilian & Lehner, Lukas, 2023. "Employing the Unemployed of Marienthal: Evaluation of a Guaranteed Job Program," IZA Discussion Papers 16088, Institute of Labor Economics (IZA).
    23. Brian Krauth, 2020. "Peers as treatments," Discussion Papers dp20-08, Department of Economics, Simon Fraser University.
    24. Maximilian Kasy & Lukas Lehner, 2023. "Employing the Unemployed of Marienthal: Evaluation of a Guaranteed Job Program," CESifo Working Paper Series 10394, CESifo.
    25. Lehner, Lukas & Kasy, Maximilian, 2022. "Employing the unemployed of Marienthal: Evaluation of a guaranteed job program," INET Oxford Working Papers 2022-29, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    26. Weinberg, Bruce A., 2013. "Group design with endogenous associations," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 411-421.
    27. 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.
    28. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  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. 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.
    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. Bennett, Magdalena & Bergman, Peter, 2018. "Better Together? Social Networks in Truancy and the Targeting of Treatment," IZA Discussion Papers 11267, Institute of Labor Economics (IZA).
    4. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020. "Inference on winners," CeMMAP working papers CWP43/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. 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.
    6. 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.
    7. 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.
    8. Debopam Bhattacharya & Pascaline Dupas, 2008. "Inferring Welfare Maximizing Treatment Assignment under Budget Constraints," NBER Working Papers 14447, National Bureau of Economic Research, Inc.
    9. 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.
    10. Eric Auerbach & Yong Cai, 2022. "Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices," Papers 2205.01246, arXiv.org, revised Oct 2022.
    11. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2019. "Non-separable models with high-dimensional data," Journal of Econometrics, Elsevier, vol. 212(2), pages 646-677.
    12. 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.
    13. Fairlie, Robert, 2014. "A community college instructor like me: Race and ethnicity interactions in the classroom," Santa Cruz Department of Economics, Working Paper Series qt1pd995t5, Department of Economics, UC Santa Cruz.
    14. 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.
    15. Siddhartha Bandyopadhyay & Antonio Cabrales, 2020. "Pricing group membership," Papers 2008.03102, arXiv.org.
    16. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    17. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    18. 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.
    19. 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).
    20. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    21. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
    22. Anton Badev, 2021. "Nash Equilibria on (Un)Stable Networks," Econometrica, Econometric Society, vol. 89(3), pages 1179-1206, May.
    23. de Gendre, Alexandra & Salamanca, Nicolás, 2020. "On the Mechanisms of Ability Peer Effects," IZA Discussion Papers 13938, Institute of Labor Economics (IZA).
    24. Frölich, Markus & Michaelowa, Katharina, 2011. "Peer effects and textbooks in African primary education," Labour Economics, Elsevier, vol. 18(4), pages 474-486, August.
    25. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. 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.
    27. 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.

  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. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2016. "Identification of panel data models with endogenous censoring," Journal of Econometrics, Elsevier, vol. 194(1), pages 57-75.
    2. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    3. 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.
    4. Manuel Arellano & Stéphane Bonhomme, 2009. "Identifying Distributional Characteristics in Random Coefficients Panel Data Models," Working Papers wp2009_0904, CEMFI.
    5. 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.
    6. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009. "Identification and Estimation of Marginal Effects in Nonlinear Panel Models," Boston University - Department of Economics - Working Papers Series wp2009-b, Boston University - Department of Economics.
    7. Hoderlein, Stefan & Sherman, Robert, 2015. "Identification and estimation in a correlated random coefficients binary response model," Journal of Econometrics, Elsevier, vol. 188(1), pages 135-149.

  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. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
    3. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    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. 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.
    6. Yuya Sasaki & Takuya Ura & Yichong Zhang, 2020. "Unconditional Quantile Regression with High Dimensional Data," Papers 2007.13659, arXiv.org, revised Feb 2022.
    7. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022. "Locally Robust Semiparametric Estimation," Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
    8. Denis Nekipelov & Vira Semenova & Vasilis Syrgkanis, 2018. "Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models," Papers 1806.04823, arXiv.org, revised Sep 2021.
    9. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    10. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
    11. 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.
    12. Michael Zimmert, 2018. "Efficient Difference-in-Differences Estimation with High-Dimensional Common Trend Confounding," Papers 1809.01643, arXiv.org, revised Aug 2020.
    13. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. M. Hristache & V. Patilea, 2017. "Conditional moment models with data missing at random," Biometrika, Biometrika Trust, vol. 104(3), pages 735-742.
    20. 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.
    21. 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.
    22. Minji Bang & Wayne Yuan Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," Papers 2101.05847, arXiv.org, revised Jun 2022.
    23. 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.
    24. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. 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.
    26. Heng Chen & Marie-Hélène Felt & Christopher Henry, 2018. "2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation," Technical Reports 114, Bank of Canada.

  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. 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.
    3. Knaus, Michael C. & Lechner, Michael & Reimers, Anne K., 2018. "For better or worse? – The Effects of Physical Education on Child Development," Economics Working Paper Series 1801, University of St. Gallen, School of Economics and Political Science.
    4. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2019. "Synthetic Difference in Differences," Working Papers wp2019_1907, CEMFI.
    5. 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).
    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. Òscar Jordà & Alan M. Taylor, 2013. "The Time for Austerity: Estimating the Average Treatment Effect of Fiscal Policy," NBER Working Papers 19414, National Bureau of Economic Research, Inc.
    8. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    9. 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.
    10. 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.
    11. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    12. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    17. Pierre Chausse & George Luta, 2017. "Casual Inference using Generalized Empirical Likelihood Methods," Working Papers 1707, University of Waterloo, Department of Economics, revised Dec 2017.
    18. 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.
    19. 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.
    20. Yuya Sasaki & Takuya Ura & Yichong Zhang, 2020. "Unconditional Quantile Regression with High Dimensional Data," Papers 2007.13659, arXiv.org, revised Feb 2022.
    21. Deng, Zichen & Lindeboom, Maarten, 2021. "Early-Life Famine Exposure, Hunger Recall and Later-Life Health," IZA Discussion Papers 14487, Institute of Labor Economics (IZA).
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Arun Advani & Toru Kitagawa & Tymon S{l}oczy'nski, 2018. "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," Papers 1809.09527, arXiv.org, revised Apr 2019.
    28. 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.
    29. 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.
    30. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
    31. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    32. 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.
    33. Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
    34. 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.
    35. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
    36. Arun Advani & Toru Kitagawa & Tymon Sloczynski, 2018. "Mostly harmless simulations? On the internal validity of empirical Monte Carlo studies," CeMMAP working papers CWP56/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Sloczynski, Tymon & Uysal, Derya & Wooldridge, Jeffrey M., 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," IZA Discussion Papers 15241, Institute of Labor Economics (IZA).
    38. 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.
    39. 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.
    40. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2018. "A Unified Framework for Efficient Estimation of General Treatment Models," Papers 1808.04936, arXiv.org, revised Aug 2018.
    41. 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.
    42. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    43. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    44. 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.
    45. 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.
    46. Rothe, Christoph & Firpo, Sergio, 2013. "Semiparametric Estimation and Inference Using Doubly Robust Moment Conditions," IZA Discussion Papers 7564, Institute of Labor Economics (IZA).
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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 Apr 2024.
    53. 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.
    54. 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.
    55. 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.
    56. Marianne BLÉHAUT & Xavier D'HAULTFOEUILLE & Jérémy L'HOUR & Alexandre B. TSYBAKOV, 2020. "An alternative to synthetic control for models with many covariates under sparsity," Working Papers 2020-17, Center for Research in Economics and Statistics.
    57. 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.
    58. 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.
    59. 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.
    60. Hao Cheng & Ying Wei, 2018. "A fast imputation algorithm in quantile regression," Computational Statistics, Springer, vol. 33(4), pages 1589-1603, December.
    61. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
    62. Susan Athey & Guido Imbens, 2016. "The State of Applied Econometrics - Causality and Policy Evaluation," Papers 1607.00699, arXiv.org.
    63. 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.
    64. 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.
    65. 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.
    66. 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.
    67. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," RatSWD Working Papers 165, German Data Forum (RatSWD).
    68. 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.
    69. 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".
    70. 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.
    71. 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.
    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. Phillip Heiler, 2020. "Efficient Covariate Balancing for the Local Average Treatment Effect," Papers 2007.04346, arXiv.org.
    74. 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.
    75. Samuel Bazzi & Sudarno Sumarto & Asep Suryahadi, "undated". "It’s All in the Timing: Household Expenditure and Labor Supply Responses to Unconditional Cash Transfers," Working Papers 280, Publications Department.
    76. 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. David E. Bloom & David Canning & Günther Fink, 2011. "Implications of Population Aging for Economic Growth," NBER Working Papers 16705, National Bureau of Economic Research, Inc.
    2. 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).
    3. 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.
    4. Baris Yoruk, 2013. "Does giving to charity lead to better health? Evidence from tax subsidies for charitable giving," Discussion Papers 13-03, University at Albany, SUNY, Department of Economics.
    5. 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.
    6. 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.
    7. Jack, William & Lewis, Maureen, 2009. "Health investments and economic growth : macroeconomic evidence and microeconomic foundations," Policy Research Working Paper Series 4877, The World Bank.
    8. 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.
    9. Eytan Sheshinski, 2006. "Longevity and Aggregate Savings," CESifo Working Paper Series 1828, CESifo.
    10. 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.
    11. 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.
    12. Malmberg, Bo & Lindh, Thomas, 2004. "Demographically based global income forecasts up to the year 2050," Arbetsrapport 2004:7, Institute for Futures Studies.
    13. Kotschy, Rainer, 2022. "Health improvements impact income inequality," The Journal of the Economics of Ageing, Elsevier, vol. 22(C).
    14. Infrastructure Victoria, 2016. "Moving from Evaluation to Valuation: Improving project appraisals by monetising more social and environmental impacts," Policy papers 201602, Infrastructure Victoria.
    15. Kawagishi, Taketo & Nakamoto, Yasuhiro, 2016. "Dynamic Analysis of Health Status in a Small Open Economy," MPRA Paper 73859, University Library of Munich, Germany.
    16. 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.
    17. 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.
    18. 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.
    19. Bloom, David & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2022. "Health and Economic Growth: Reconciling the Micro and Macro Evidence," CEPR Discussion Papers 17393, C.E.P.R. Discussion Papers.
    20. 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.
    21. Milanez Ana, 2020. "Workforce Ageing and Labour Productivity Dynamics," Naše gospodarstvo/Our economy, Sciendo, vol. 66(3), pages 1-13, September.
    22. 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.
    23. 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.
    24. Pierre Pestieau & Grégory Ponthière, 2016. "Longevity variations and the welfare state," Post-Print halshs-01509666, HAL.
    25. 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.
    26. 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.
    27. Doran, Justin, 2012. "An analysis of the interdependence of demographic factors, labour effort and economic growth in Ireland," MPRA Paper 48266, University Library of Munich, Germany.
    28. World Bank, 2013. "EU11 Regular Economic Report, Issue #26, January 2013," World Bank Publications - Reports 16489, The World Bank Group.
    29. 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.
    30. Reyer Gerlagh & Richard Jaimes & Ali Motavasseli, 2017. "Global Demographic Change and Climate Policies," CESifo Working Paper Series 6617, CESifo.
    31. 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.
    32. 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.
    33. Irmen, Andreas, 2018. "Technological Progress, the Supply of Hours Worked, and the Consumption-Leisure Complementarity," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181551, Verein für Socialpolitik / German Economic Association.
    34. Natacha Raffin & Thomas Seegmuller, 2017. "The Cost of Pollution on Longevity, Welfare and Economic Stability," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 683-704, November.
    35. Hans Fehr & Sabine Jokisch & Laurence Kotlikoff, 2004. "Fertility, Mortality, and the Developed World’s Demographic Transition," CESifo Working Paper Series 1326, CESifo.
    36. Annarita Baldanzi & Klaus Prettner & Paul Tscheuschner, 2019. "Longevity-induced vertical innovation and the tradeoff between life and growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(4), pages 1293-1313, October.
    37. 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.
    38. Timothy J. Halliday & Hui He & Hao Zhang, 2009. "Health Investment over the Life-Cycle," Working Papers 200910, University of Hawaii at Manoa, Department of Economics.
    39. 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).
    40. Oliver Fritz & Peter Mayerhofer & Reinhard Haller & Gerhard Streicher & Florian Bachner & Herwig Ostermann, 2013. "Die regionalwirtschaftlichen Effekte der österreichischen Krankenanstalten," WIFO Studies, WIFO, number 46672, April.
    41. David E. Bloom & David Canning, 2005. "Global Demographic Change: Dimensions and Economic Significance," PGDA Working Papers 0105, Program on the Global Demography of Aging.
    42. Chung Tran, 2014. "Temptation and Taxation with Elastic Labor," ANU Working Papers in Economics and Econometrics 2014-617, Australian National University, College of Business and Economics, School of Economics.
    43. Antoine Bommier, 2013. "Life-Cycle Preferences Revisited," Journal of the European Economic Association, European Economic Association, vol. 11(6), pages 1290-1319, December.
    44. Antoine Bommier, "undated". "Mortality Decline, Impatience and Aggregate Wealth Accumulation with Risk-Sensitive Preferences," Working Papers ETH-RC-14-006, ETH Zurich, Chair of Systems Design.
    45. Bommier, Antoine, 2009. "Mortality Decline and Aggregate Wealth Accumulation," TSE Working Papers 09-050, Toulouse School of Economics (TSE).
    46. 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.
    47. Miyake, Yusuke, 2022. "Endogenous childcare costs in R&D based model," MPRA Paper 112491, University Library of Munich, Germany.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. Johan Fourie, 2012. "The wealth of the Cape Colony: Measurements from probate inventories," Working Papers 268, Economic Research Southern Africa.
    53. Bloom, David E. & Kuhn, Michael & Prettner, Klaus, 2018. "Health and Economic Growth," IZA Discussion Papers 11939, Institute of Labor Economics (IZA).
    54. 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.
    55. de la Croix, David & Lindh, Thomas & Malmberg, Bo, 2009. "Demographic change and economic growth in Sweden: 1750-2050," Journal of Macroeconomics, Elsevier, vol. 31(1), pages 132-148, March.
    56. 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.
    57. 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.
    58. 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.
    59. 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.
    60. Jeffrey G. Williamson, 2013. "Demographic Dividends Revisited," Asian Development Review, MIT Press, vol. 30(2), pages 1-25, September.
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    66. 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.
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    79. 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.
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    93. Tomas Kögel, 2001. "Youth dependency and total factor productivity," MPIDR Working Papers WP-2001-030, Max Planck Institute for Demographic Research, Rostock, Germany.
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    97. Kárpáti, Daniel, 2023. "Essays in finance & health," Other publications TiSEM 5505e140-1f4d-4f61-a5a5-e, Tilburg University, School of Economics and Management.
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    108. 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.
    109. 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.
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    112. 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.
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    114. Bloom, David E. & Canning, David & Hu, Linlin & Liu, Yuanli & Mahal, Ajay & Yip, Winnie, 2010. "The contribution of population health and demographic change to economic growth in China and India," Journal of Comparative Economics, Elsevier, vol. 38(1), pages 17-33, March.
    115. 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.
    116. Noëmie Lisack & Rana Sajedi & Gregory Thwaites, 2019. "Population Ageing and the Macroeconomy," Working papers 745, Banque de France.
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    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. 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.
    121. 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.
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    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.
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    3. Caselli, Francesco, 2004. "Accounting for Cross-Country Income Differences," CEPR Discussion Papers 4703, C.E.P.R. Discussion Papers.
    4. 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).
    5. 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.
    6. M. Scarlato & M. Cenci, 2004. "Innovazione tecnologica e offerta di skills:una simulazione," Computational Economics 0401003, University Library of Munich, Germany.
    7. 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.
    8. Florian Englmaier & Markus Reisinger, 2006. "Information, Coordination, and the Industrialization of Countries," CESifo Working Paper Series 1670, CESifo.
    9. Jonathan Temple, 2005. "Dual Economy Models: A Primer For Growth Economists," Manchester School, University of Manchester, vol. 73(4), pages 435-478, July.
    10. 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.
    11. 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.
    12. Keith Blackburn & Gonzalo F. Forgues-Puccio, 2011. "Foreign aid - a fillip for development or a fuel for corruption?," Centre for Growth and Business Cycle Research Discussion Paper Series 158, Economics, The University of Manchester.
    13. 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.
    14. Kraay, Aart & McKenzie, David, 2014. "Do poverty traps exist ?," Policy Research Working Paper Series 6835, The World Bank.
    15. Kraay, Aart & Raddatz, Claudio, 2005. "Poverty traps, aid, and growth," Policy Research Working Paper Series 3631, The World Bank.
    16. Bloom, David E & Canning, David & Sevilla, Jaypee, 2003. "Geography and Poverty Traps," Journal of Economic Growth, Springer, vol. 8(4), pages 355-378, December.
    17. Areendam Chanda & Beatrice Farkas, 2009. "Technology-Skill Complementarity and International TFP Differences," DEGIT Conference Papers c014_028, DEGIT, Dynamics, Economic Growth, and International Trade.
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    19. Holger Breinlich & Gianmarco I. P. Ottaviano & Jonathan R. W. Temple, 2013. "Regional Growth and Regional Decline," CEP Discussion Papers dp1232, Centre for Economic Performance, LSE.
    20. 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.
    21. 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.
    22. Strulik, Holger & Vollmer, Sebastian, 2010. "The Fertility Transition Around the World - 1950-2005," Hannover Economic Papers (HEP) dp-443, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    23. 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.
    24. Temple, Jonathan & Wößmann, Ludger, 2006. "Dualism and cross-country growth regressions," Munich Reprints in Economics 19619, University of Munich, Department of Economics.
    25. 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.
    26. Sasaki, Hiroaki & Mino, Kazuo, 2021. "Effects of Exhaustible Resources and Declining Population on Economic Growth with Hotelling's Rule," MPRA Paper 107787, University Library of Munich, Germany.
    27. Frederic Docquier & David de la Croix, 2010. "Do Brain Drain and Poverty Result from Coordination Failures?," 2010 Meeting Papers 440, Society for Economic Dynamics.
    28. 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.
    29. 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).
    30. Dalton, P.S. & Ghosal, S. & Mani, A., 2011. "Poverty and Aspirations Failure," Discussion Paper 2011-124, Tilburg University, Center for Economic Research.
    31. 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.
    32. 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.
    33. Temple, Jonathan & Ying, Huikang, 2014. "Life During Structural Transformation," CEPR Discussion Papers 10297, C.E.P.R. Discussion Papers.
    34. 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.
    35. 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.
    36. Hiroaki Sasaki, 2010. "Trade, Non-Scale Growth, and Uneven Development," Discussion papers e-10-002, Graduate School of Economics Project Center, Kyoto University.
    37. 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.
    38. Galor, Oded, 2007. "Multiple growth regimes - Insights from unified growth theory," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 470-475, September.
    39. 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.
    40. Golub, Alexander & Toman, Michael, 2014. "Climate change, industrial transformation, and"development traps"," Policy Research Working Paper Series 6951, The World Bank.
    41. Vollrath, Dietrich, 2014. "The efficiency of human capital allocations in developing countries," Journal of Development Economics, Elsevier, vol. 108(C), pages 106-118.
    42. Donald S. Allen & Leonce Ndikumana, 1999. "Income inequality and minimum consumption: implications for growth," Working Papers 1999-013, Federal Reserve Bank of St. Louis.
    43. 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.
    44. 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).
    45. 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.
    46. Vollmer, Sebastian & Holzmann, Hajo & Schwaiger, Florian, 2010. "Peaks vs. Components," Hannover Economic Papers (HEP) dp-452, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    47. Patrick Kline & Enrico Moretti, 2013. "Local Economic Development, Agglomeration Economies and the Big Push: 100 Years of Evidence from the Tennessee Valley Authority," Working Paper series 43_13, Rimini Centre for Economic Analysis.
    48. Areendam Chanda & Carl-Johan Dalgaard, 2003. "Dual Economies and International Total Factor Productivity Differences," Macroeconomics 0305002, University Library of Munich, Germany.
    49. Kenza Benhima & Baptiste Massenot, 2012. "Safety Traps," Cahiers de Recherches Economiques du Département d'économie 12.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    50. 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.
    51. 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.
    52. 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.
    53. Franz Wirl, 2011. "Conditions for indeterminacy and thresholds in neoclassical growth models," Journal of Economics, Springer, vol. 102(3), pages 193-215, April.
    54. 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.
    55. Herman Geyer, 2016. "Poverty Traps in South African Agriculture," Agrekon, Taylor & Francis Journals, vol. 55(4), pages 356-376, October.
    56. 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.
    57. Jonathan Temple, 2002. "The Costs of Dualism," Bristol Economics Discussion Papers 02/532, School of Economics, University of Bristol, UK.
    58. Alice Nicole Sindzingre, 2007. "Poverty traps: a perspective from development economics," Working Papers hal-04139210, HAL.
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. 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.
    64. 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.
    65. 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.
    66. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).
    67. 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.
    68. 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.
    69. 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.
    70. Jonathan Temple, 2006. "Aggregate Production Functions and Growth Economics," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(3), pages 301-317.
    71. 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.
    72. 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.
    73. 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.
    74. Richard G. Harris & Peter E. Robertson & Jessica Y. Xu, 2010. "The International Effects of China's Growth, Trade and Ecucation Booms," Economics Discussion / Working Papers 10-04, The University of Western Australia, Department of Economics.
    75. Nejat ANBARCI & Mehmet ULUBASOGLU, 2010. "Endogenous Liberalization and Within-Country Inequality," EcoMod2010 259600008, EcoMod.
    76. 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.
    77. 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.
    78. 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.
    79. Alice Nicole Sindzingre, 2007. "Poverty traps: a perspective from development economics," EconomiX Working Papers 2007-26, University of Paris Nanterre, EconomiX.
    80. 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.
    81. 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.

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. 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.
  3. 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.
  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 & 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.
  9. 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. 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.
    2. 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.
    3. 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.
    4. Peter Hull, 2018. "Estimating Treatment Effects in Mover Designs," Papers 1804.06721, arXiv.org.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Cavit Pakel & Martin Weidner, 2023. "Bounds on Average Effects in Discrete Choice Panel Data Models," Papers 2309.09299, arXiv.org, revised Dec 2023.
    10. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2016. "Identification of panel data models with endogenous censoring," Journal of Econometrics, Elsevier, vol. 194(1), pages 57-75.
    11. Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The triangular model with random coefficients," CeMMAP working papers CWP33/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. 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.
    13. Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
    14. 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.
    15. 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.
    16. Chen, Xiaohong & Liao, Zhipeng, 2014. "Sieve M inference on irregular parameters," Journal of Econometrics, Elsevier, vol. 182(1), pages 70-86.
    17. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    18. Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Financial Stability Review, Banco de España, issue NOV.
    19. 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.
    20. 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.
    21. Ming Li, 2021. "A Time-Varying Endogenous Random Coefficient Model with an Application to Production Functions," Papers 2110.00982, arXiv.org.
    22. 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.
    23. 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.
    24. 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.
    25. Santiago Pereda Fernández, 2016. "Copula-based random effects models for clustered data," Temi di discussione (Economic working papers) 1092, Bank of Italy, Economic Research and International Relations Area.
    26. Xiaohong Chen & Demian Pouzo, 2014. "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models," Papers 1411.1144, arXiv.org, revised Mar 2015.
    27. Victor Chernozhukov & Jerry A. Hausman & Whitney K. Newey, 2019. "Demand Analysis with Many Prices," NBER Working Papers 26424, National Bureau of Economic Research, Inc.
    28. 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.
    29. 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.
    30. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Mar 2024.
    31. 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.
    32. 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.
    33. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Mar 2024.
    34. 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.
    35. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    36. 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.
    37. 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.
    38. 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.
    39. Emmanouil Kitsios & Manasa Patnam, 2016. "Estimating Fiscal Multipliers with Correlated Heterogeneity," IMF Working Papers 2016/013, International Monetary Fund.
    40. Clément de Chaisemartin & Xavier d'Haultfoeuille & Félix Pasquier & Gonzalo Vazquez-Bare, 2022. "Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period," SciencePo Working papers Main hal-03873926, HAL.
    41. 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.
    42. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    43. 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.
    44. 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.
    45. 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.
    46. Takuya Ishihara, 2020. "Panel Data Quantile Regression for Treatment Effect Models," Papers 2001.04324, arXiv.org, revised Nov 2021.
    47. 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.
    48. Linton, O. & Shiu, J-L., 2019. "Semiparametric Nonlinear Panel Data Models with Measurement Error," Cambridge Working Papers in Economics 1906, Faculty of Economics, University of Cambridge.
    49. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2016. "IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade," Econometrica, Econometric Society, vol. 84, pages 809-833, March.
    50. 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.
    51. 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.
    52. 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.
    53. Yuya Sasaki & Takuya Ura, 2021. "Slow Movers in Panel Data," Papers 2110.12041, arXiv.org.
    54. 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.
    55. 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).
    56. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    57. Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
    58. 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.
    59. Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
    60. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  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, Japanese Economic Association, 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. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. 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.
    3. 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).
    4. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    5. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    6. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    7. 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.
    8. Matthew Harding & Carlos Lamarche, 2017. "Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 342-358, March.
    9. 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.
    10. 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.
    11. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    12. 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.
    13. 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.
    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, 2012. "Estimating and Testing a Quantile Regression Model with Interactive Effects," IZA Discussion Papers 6802, Institute of Labor Economics (IZA).
    16. 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.
    17. 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.
    18. 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.

  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. 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.
    3. 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.
    4. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    5. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions and Malaria Preventive Behaviors in Sub-Saharan Africa," Working Papers halshs-00940084, HAL.
    6. 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).
    7. 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.
    8. Vincent Boucher & Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2014. "Do Peers Affect Student Achievement? Evidence From Canada Using Group Size Variation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 91-109, January.
    9. Bryan S. Graham & Geert Ridder & Petra Thiemann & Gema Zamarro, 2020. "Teacher-to-classroom assignment and student achievement," CeMMAP working papers CWP36/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Guido M. Kuersteiner & Ingmar R. Prucha & Ying Zeng, 2021. "Efficient Peer Effects Estimators with Group Effects," Papers 2105.04330, arXiv.org, revised Apr 2022.
    11. 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.
    12. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Post-Print hal-03072119, HAL.
    13. Stephen L. Ross, 2009. "Social Interactions within Cities: Neighborhood Environments and Peer Relationships," Working papers 2009-31, University of Connecticut, Department of Economics.
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  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. Bénédicte Apouey & Gabriel Picone, 2014. "Social Interactions and Malaria Preventive Behaviors in Sub-Saharan Africa," Working Papers halshs-00940084, HAL.
    2. 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.
    3. Brock,W.A. & Durlauf,S.N., 2004. "Identification of binary choice models with social interactions," Working papers 2, Wisconsin Madison - Social Systems.
    4. 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.
    5. Jesse A. Matheson, 2015. "Prices and social behaviour: Evidence from adult smoking in Canadian Aboriginal communities," Canadian Journal of Economics, Canadian Economics Association, vol. 48(5), pages 1661-1693, December.
    6. Goette, Lorenz & Bruhin, Adrian & Haenni, Simon & Jiang, Lingqing, 2015. "Spillovers of Prosocial Motivation: Evidence from an Intervention Study on Blood Donors," CEPR Discussion Papers 10345, C.E.P.R. Discussion Papers.
    7. Onur Ozgur & Alberto Bisin, 2011. "Dynamic linear economies with social interactions," Levine's Working Paper Archive 786969000000000036, David K. Levine.
    8. Gonzalo Vazquez-Bare, 2017. "Identification and Estimation of Spillover Effects in Randomized Experiments," Papers 1711.02745, arXiv.org, revised Jan 2022.
    9. Brock,W.A. & Durlauf,S.N., 2003. "Multinomial choice with social interactions," Working papers 1, Wisconsin Madison - Social Systems.
    10. Jose-Alberto Guerra & Myra Mohnen, 2022. "Multinomial Choice with Social Interactions: Occupations in Victorian London," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 736-747, October.
    11. Blume,L.E. & Durlauf,S.N., 2005. "Identifying social interactions : a review," Working papers 12, Wisconsin Madison - Social Systems.
    12. Grodner, Andrew & Kniesner, Thomas J. & Bishop, John A., 2011. "Social Interactions in the Labor Market," IZA Discussion Papers 5934, Institute of Labor Economics (IZA).
    13. Giacomo De Giorgi & Anders Frederiksen & Luigi Pistaferri, 2016. "Consumption Network Effects," NBER Working Papers 22357, National Bureau of Economic Research, Inc.
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    See citations under working paper version above.
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