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Hiroyuki Kasahara

Citations

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Working papers

  1. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.

    Cited by:

    1. Hien Thu Pham & Nhan Buu Phan & Shino Takayama, 2020. "Productivity, Efficiency and Firm Size Distribution: Evidence from Vietnam," Discussion Papers Series 617, School of Economics, University of Queensland, Australia.
    2. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Feb 2026.
    3. Malein, Viktor (Малеин, Виктор) & Ponomarev, Yuriy (Пономарев, Юрий), 2019. "Analysis of Impact of New Technologies in Metallurgy on the Industry Production Function and Total Factor Productivity [Совокупная Факторная Производительность В Черной Металлургии: Влияние Новых Технологий]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 132-151, June.
    4. Hiroyuki KASAHARA & Mitsukuni NISHIDA & Michio SUZUKI, 2017. "Decomposition of Aggregate Productivity Growth with Unobserved Heterogeneity," Discussion papers 17083, Research Institute of Economy, Trade and Industry (RIETI).
    5. Emannuel Dhyne & Joep Konings & Joep Konings & Stijn Vanormelingen,, 2018. "IT and productivity: A firm level analysis," Working Paper Research 346, National Bank of Belgium.
    6. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    7. Tong Li & Yuya Sasaki, 2017. "Constructive Identification of Heterogeneous Elasticities in the Cobb-Douglas Production Function," Papers 1711.10031, arXiv.org.
    8. Nhan Buu Phany & Shino Takayamaz, 2020. "Analyses of Corruption and Productivity with Empirical Study in Vietnam," Discussion Papers Series 628, School of Economics, University of Queensland, Australia.
    9. Konings, Jozef & Dhyne, Emmanuel & Van den bosch, Jeroen & ,, 2018. "The Return on Information Technology: Who Benefits Most?," CEPR Discussion Papers 13246, C.E.P.R. Discussion Papers.
    10. Michele Battisti & Valentino Dardanoni & Stefano Demichelis, 2024. "Inter-firm Heterogeneity in Production," Papers 2411.15980, arXiv.org.
    11. Grieco, Paul & Pinkse, Joris & Slade, Margaret, 2018. "Brewed in North America: Mergers, marginal costs, and efficiency," International Journal of Industrial Organization, Elsevier, vol. 59(C), pages 24-65.
    12. Rentaro Utamaru, 2026. "Nonparametric Identification and Estimation of Production Functions Invariant to Productivity Dynamics," Papers 2604.04458, arXiv.org, revised Apr 2026.
    13. Li, Tong & Sasaki, Yuya, 2024. "Identification of heterogeneous elasticities in gross-output production functions," Journal of Econometrics, Elsevier, vol. 238(2).
    14. Xu Cheng & Frank Schorfheide & Peng Shao, 2025. "Clustering for Multi-Dimensional Heterogeneity with an Application to Production Function Estimation," PIER Working Paper Archive 25-014, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

  2. Hiroyuki Kasahara & Yasuyuki Sawada & Michio Suzuki, 2023. "The Effect of Bank Recapitalization Policy on Credit Allocation, Investment, and Productivity: Evidence from a Banking Crisis in Japan," CESifo Working Paper Series 10622, CESifo.

    Cited by:

    1. Li, Shouxing & Ding, Lili & Zhao, Xin, 2025. "Does government dual-target management affect local bank credit structure? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 97(C).
    2. Kanazawa, Nobuyuki, 2025. "The long-term effects of bank bailouts on corporate financing policies," Journal of Banking & Finance, Elsevier, vol. 176(C).
    3. Li, Xiao-Lin & Si, Deng-Kui, 2024. "Does financial market liberalization promote corporate radical innovation? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    4. Liu, Guanchun & Liu, Hangjuan & Wu, Jiaqi & You, Linqing, 2025. "Macroprudential assessment framework and firms’ access to bank credit: Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 236(C).

  3. Yu Hao & Hiroyuki Kasahara, 2022. "Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data," Papers 2210.02824, arXiv.org, revised Jun 2023.

    Cited by:

    1. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.

  4. Kisho HOSHI & Hiroyuki KASAHARA & Ryo MAKIOKA & Michio SUZUKI & Satoshi TANAKA, 2021. "The Heterogeneous Effects of COVID-19 on Labor Markets: People's Movement and Non-Pharmaceutical Interventions," Discussion papers 21045, Research Institute of Economy, Trade and Industry (RIETI).

    Cited by:

    1. Satoshi Tanaka, 2022. "Economic Impacts of SARS/MERS/COVID‐19 in Asian Countries," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 41-61, January.
    2. Tomoyuki Yagi & Kakuho Furukawa & Jouchi Nakajima, 2022. "Productivity Trends in Japan - Reviewing Recent Facts and the Prospects for the Post-COVID-19 Era -," Bank of Japan Working Paper Series 22-E-10, Bank of Japan.
    3. Andrea Bellucci & Gianluca Gucciardi, 2023. "A Turning Point for Banking: Unravelling the Changing Landscape of Banking Activity in Europe since the COVID-19 pandemic," Mo.Fi.R. Working Papers 183, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    4. Kisho Hoshi & Hiroyuki Kasahara & Ryo Makioka & Michio Suzuki & Satoshi Tanaka, 2021. "Trade-off between job losses and the spread of COVID-19 in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 683-716, October.
    5. Takano, Tetsuaki, 2024. "Worker flows by gender and industry in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 71(C).
    6. Michihito Ando & Masato Furuichi, 2022. "The association of COVID-19 employment shocks with suicide and safety net use: An early-stage investigation," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-26, March.
    7. Da Gong & Andong Yan & Jialin Yu, 2024. "The Costs of Zero-Covid: Effects of Anti-contagious Policy on Labor Market Outcomes in China," Journal of Labor Research, Springer, vol. 45(3), pages 436-478, September.
    8. Kikuchi, Junichi & Nagao, Ryoya & Nakazono, Yoshiyuki, 2023. "Expenditure responses to the COVID-19 pandemic," Japan and the World Economy, Elsevier, vol. 65(C).
    9. Carmen Aina & Irene Brunetti & Chiara Mussida & Sergio Scicchitano, 2023. "Distributional effects of COVID-19," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 221-256, March.

  5. Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf, 2021. "The Association of Opening K-12 Schools with the Spread of COVID-19 in the United States: County-Level Panel Data Analysis," Papers 2102.10453, arXiv.org, revised Jun 2021.

    Cited by:

    1. Ingo E. Isphording & Marc Diederichs & Reyn van Ewijk & Nico Pestel, 2021. "Schools under mandatory testing can mitigate the spread of SARS-CoV-2," Working Papers 2116, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    2. Emanuele Amodio & Michele Battisti & Antonio Francesco Gravina & Andrea Mario Lavezzi & Giuseppe Maggio, 2023. "School‐age vaccination, school openings and Covid‐19 diffusion," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1084-1100, May.
    3. Kisho Hoshi & Hiroyuki Kasahara & Ryo Makioka & Michio Suzuki & Satoshi Tanaka, 2021. "Trade-off between job losses and the spread of COVID-19 in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 683-716, October.
    4. Boucekkine, Raouf & Chakraborty, Shankha & Goenka, Aditya & Liu, Lin, 2024. "Economic epidemiological modelling: A progress report," Journal of Mathematical Economics, Elsevier, vol. 113(C).
    5. Salvatore Lattanzio, 2023. "Schools and the transmission of Sars-Cov-2: evidence from Italy," Temi di discussione (Economic working papers) 1401, Bank of Italy, Economic Research and International Relations Area.
    6. Koppa, Vijetha & West, Jeremy, 2022. "School reopenings, COVID-19, and employment," Santa Cruz Department of Economics, Working Paper Series qt5r67b4rc, Department of Economics, UC Santa Cruz.
    7. Jara, Karen Trujillo & Hernandez, Jose Ignacio & Mouter, Niek & Brouwer, Werner & van Exel, Job, 2025. "Preferences of citizens in Peru for school opening during a public-health crisis: A participatory value evaluation study," Social Science & Medicine, Elsevier, vol. 365(C).
    8. André Kurmann & Étienne Lalé, 2021. "School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom," CIRANO Working Papers 2021s-42, CIRANO.
    9. Amodio, Emanuele & Battisti, Michele & Kourtellos, Andros & Maggio, Giuseppe & Maida, Carmelo Massimo, 2022. "Schools opening and Covid-19 diffusion: Evidence from geolocalized microdata," European Economic Review, Elsevier, vol. 143(C).
    10. Dan Goldhaber & Scott A. Imberman & Katharine O. Strunk & Bryant G. Hopkins & Nate Brown & Erica Harbatkin & Tara Kilbride, 2022. "To What Extent Does In‐Person Schooling Contribute To The Spread Of Covid‐19? Evidence From Michigan And Washington," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 318-349, January.

  6. Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf, 2021. "The Association of Opening K-12 Schools and Colleges with the Spread of Covid-19 in the United States: County-Level Panel Data Analysis," CESifo Working Paper Series 8929, CESifo.

    Cited by:

    1. Ingo E. Isphording & Marc Diederichs & Reyn van Ewijk & Nico Pestel, 2021. "Schools under mandatory testing can mitigate the spread of SARS-CoV-2," Working Papers 2116, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    2. Emanuele Amodio & Michele Battisti & Antonio Francesco Gravina & Andrea Mario Lavezzi & Giuseppe Maggio, 2022. "School-age Vaccination, School Openings and Covid-19 diffusion," Papers 2203.12331, arXiv.org.
    3. Boucekkine, Raouf & Chakraborty, Shankha & Goenka, Aditya & Liu, Lin, 2024. "Economic epidemiological modelling: A progress report," Journal of Mathematical Economics, Elsevier, vol. 113(C).
    4. Koppa, Vijetha & West, Jeremy, 2021. "School Reopenings, COVID-19, and Employment," Santa Cruz Department of Economics, Working Paper Series qt07w4z6vb, Department of Economics, UC Santa Cruz.
    5. Lattanzio, Salvatore, 2024. "Schools and the transmission of Sars-Cov-2: Evidence from Italy," Economics & Human Biology, Elsevier, vol. 52(C).
    6. André Kurmann & Étienne Lalé, 2021. "School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom," CIRANO Working Papers 2021s-42, CIRANO.
    7. Amodio, Emanuele & Battisti, Michele & Kourtellos, Andros & Maggio, Giuseppe & Maida, Carmelo Massimo, 2022. "Schools opening and Covid-19 diffusion: Evidence from geolocalized microdata," European Economic Review, Elsevier, vol. 143(C).
    8. Dan Goldhaber & Scott A. Imberman & Katharine O. Strunk & Bryant G. Hopkins & Nate Brown & Erica Harbatkin & Tara Kilbride, 2022. "To What Extent Does In‐Person Schooling Contribute To The Spread Of Covid‐19? Evidence From Michigan And Washington," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 318-349, January.

  7. Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf, 2021. "A Response to Philippe Lemoine's Critique on our Paper "Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S."," Papers 2110.06136, arXiv.org.

    Cited by:

    1. Crudu, Federico & Di Stefano, Roberta & Mellace, Giovanni & Tiezzi, Silvia, 2024. "The gray zone: How not imposing a strict lockdown at the beginning of a pandemic can cost many lives," Labour Economics, Elsevier, vol. 89(C).

  8. Victor Chernozhukov & Hiroyuki Kasaha & Paul Schrimpf, 2020. "Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S," Papers 2005.14168, arXiv.org, revised Oct 2020.

    Cited by:

    1. Roxanne Kovacs & Maurice Dunaiski & Janne Tukiainen, 2020. "Compulsory face mask policies do not affect community mobility in Germany," Discussion Papers 136, Aboa Centre for Economics.
    2. Simon Porcher & Thomas Renault, 2021. "Social distancing beliefs and human mobility: Evidence from Twitter," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205158, HAL.
    3. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2022. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," Working Papers 22-18, Federal Reserve Bank of Philadelphia.
    4. Sabina Marchetti & Alessandro Borin & Francesco Paolo Conteduca & Giuseppe Ilardi & Giorgio Guzzetta & Piero Poletti & Patrizio Pezzotti & Antonino Bella & Paola Stefanelli & Flavia Riccardo & Stefano, 2022. "An Epidemic Model for SARS-CoV-2 with Self-Adaptive Containment Measures," Questioni di Economia e Finanza (Occasional Papers) 681, Bank of Italy, Economic Research and International Relations Area.
    5. Albert Okunade & Favour Olarewaju & Babasoji Oyemakinde & Gregory Lubiani, 2025. "Determinants of COVID-19 mortality among the US law enforcement officers," Journal of Population Research, Springer, vol. 42(3), pages 1-24, September.
    6. Mellace, Giovanni & Crudu, Frederico & Di Stefano, Roberta & Tiezzi, Silvia, 2022. "The Gray Zone," Discussion Papers on Economics 5/2022, University of Southern Denmark, Department of Economics.
    7. Dion Bongaerts & Francesco Mazzola & Wolf Wagner, 2021. "Closed for business: The mortality impact of business closures during the Covid-19 pandemic," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-17, May.
    8. Fernández-Villaverde, Jesús & Arias, Jonas & Rubio-Ramírez, Juan Francisco & Shin, Minchul, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," CEPR Discussion Papers 15951, C.E.P.R. Discussion Papers.
    9. Ewen Gallic & Michel Lubrano & Pierre Michel, 2022. "Optimal lockdowns for COVID‐19 pandemics: Analyzing the efficiency of sanitary policies in Europe," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(5), pages 944-967, October.
    10. Seres, Gyula & Balleyer, Anna & Cerutti, Nicola & Friedrichsen, Jana & Süer, Müge, 2021. "Face Mask Use and Physical Distancing Before and After Mandatory Masking: No Evidence on Risk Compensation in Public Waiting Lines," Rationality and Competition Discussion Paper Series 300, CRC TRR 190 Rationality and Competition.
    11. Mark Pingle, 2022. "Addressing threats like Covid: why we will tend to over-react and how we can do better," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 21(1), pages 9-23, June.
    12. Berta, P. & Lovaglio, P.G. & Paruolo, P. & Verzillo, S., 2020. "Real Time Forecasting of Covid-19 Intensive Care Units demand," Health, Econometrics and Data Group (HEDG) Working Papers 20/16, HEDG, c/o Department of Economics, University of York.
    13. Krista M. Milich & Natalie Fisher & Gisela Sobral, 2024. "Effective public health messaging for university students: lessons learned to increase adherence to safety guidelines during a pandemic," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    14. Kahanec, Martin & Lafférs, Lukáš & Schmidpeter, Bernhard, 2021. "The Impact of Mass Antigen Testing for COVID-19 on the Prevalence of the Disease," IZA Discussion Papers 14228, IZA Network @ LISER.
    15. Kisho HOSHI & Hiroyuki KASAHARA & Ryo MAKIOKA & Michio SUZUKI & Satoshi TANAKA, 2021. "The Heterogeneous Effects of COVID-19 on Labor Markets: People's Movement and Non-Pharmaceutical Interventions," Discussion papers 21045, Research Institute of Economy, Trade and Industry (RIETI).
    16. Florian Dorn & Sahamoddin Khailaie & Marc Stoeckli & Sebastian C. Binder & Tanmay Mitra & Berit Lange & Stefan Lautenbacher & Andreas Peichl & Patrizio Vanella & Timo Wollmershäuser & Clemens Fuest & , 2023. "The common interests of health protection and the economy: evidence from scenario calculations of COVID-19 containment policies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 67-74, February.
    17. Daniel H. Cooper & Vaishali Garga & María Jose Luengo-Prado & Jenny Tang, 2020. "The Roles of Mobility and Masks in the Spread of COVID-19," Current Policy Perspectives 89224, Federal Reserve Bank of Boston.
    18. Peter A.G. van Bergeijk, 2021. "Pandemic Economics," Books, Edward Elgar Publishing, number 20401, June.
    19. Dongwoo Kim & Young Jun Lee, 2021. "Vaccination strategies and transmission of COVID-19: evidence across advanced countries," Papers 2109.06453, arXiv.org, revised Jan 2022.
    20. Baum, Christopher F. & García-Suaza, Andrés & Henry, Miguel & Otero, Jesús, 2025. "Drivers of COVID-19 in U.S. counties: A wave-level analysis," Economics & Human Biology, Elsevier, vol. 58(C).
    21. Zhaohui Su, 2021. "Rigorous Policy-Making Amid COVID-19 and Beyond: Literature Review and Critical Insights," IJERPH, MDPI, vol. 18(23), pages 1-17, November.
    22. Milosh, Maria & Painter, Marcus & Sonin, Konstantin & Van Dijcke, David & Wright, Austin L., 2021. "Unmasking partisanship: Polarization undermines public response to collective risk," Journal of Public Economics, Elsevier, vol. 204(C).
    23. Carnehl, Christoph & Fukuda, Satoshi & Kos, Nenad, 2023. "Epidemics with behavior," Journal of Economic Theory, Elsevier, vol. 207(C).
    24. Nicola Fuchs-Schündeln & Dirk Krueger & André Kurmann & Étienne Lalé & Alexander Ludwig & Irina Popova, 2021. "The fiscal and welfare effects of policy responses to the Covid-19 school closures," CIRANO Working Papers 2021s-40, CIRANO.
    25. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2024. "Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach," Papers 2405.12180, arXiv.org.
    26. Millimet, Daniel L. & Parmeter, Christopher F., 2021. "COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths," IZA Discussion Papers 14116, IZA Network @ LISER.
    27. Blas A. Marin-Lopez & David Jimenez-Gomez & José-María Abellán-Perpiñán, 2022. "Behavioral Economics in the Epidemiology of the COVID-19 Pandemic: Theory and Simulations," IJERPH, MDPI, vol. 19(15), pages 1-23, August.
    28. Yang Han & Jacqueline C. K. Lam & Victor O. K. Li & Jon Crowcroft, 2024. "Interpretable AI-driven causal inference to uncover the time-varying effects of PM2.5 and public health interventions on COVID-19 infection rates," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    29. Germain Gauthier, 2021. "On the Use of Two-Way Fixed Effects Models for Policy Evaluation During Pandemics," Papers 2106.10949, arXiv.org.
    30. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate," Department of Economics Working Papers 2020-06, McMaster University.
    31. Guo, Jiaqi & Wang, Qiang & Li, Rongrong, 2024. "Can official development assistance promote renewable energy in sub-Saharan Africa countries? A matter of institutional transparency of recipient countries," Energy Policy, Elsevier, vol. 186(C).
    32. Rafaela Rosário & Inês Fronteira & Maria R. O. Martins & Cláudia Augusto & Maria José Silva & Melanie Messer & Silvana Martins & Ana Duarte & Neida Ramos & Katharina Rathmann & Orkan Okan & Kevin Dada, 2022. "Infodemic Preparedness and COVID-19: Searching about Public Health and Social Measures Is Associated with Digital Health Literacy in University Students," IJERPH, MDPI, vol. 19(19), pages 1-9, September.
    33. Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2024. "Reprint: Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 239(2).
    34. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    35. Cooper, Daniel & Garga, Vaishali & Luengo-Prado, María José & Tang, Jenny, 2023. "The mitigating effect of masks on the spread of Covid-19," Economics & Human Biology, Elsevier, vol. 48(C).
    36. Checo, Ariadne & Grigoli, Francesco & Mota, Jose M., 2021. "Assessing Targeted Containment Policies to Fight COVID-19," GLO Discussion Paper Series 752, Global Labor Organization (GLO).
    37. Dorn, Florian & Lange, Berit & Braml, Martin & Gstrein, David & Nyirenda, John L.Z. & Vanella, Patrizio & Winter, Joachim & Fuest, Clemens & Krause, Gérard, 2023. "The challenge of estimating the direct and indirect effects of COVID-19 interventions – Toward an integrated economic and epidemiological approach," Economics & Human Biology, Elsevier, vol. 49(C).
    38. Girardi, Alessandro & Ventura, Marco, 2023. "The cost of waiting and the death toll in Italy during the first wave of the covid-19 pandemic," Health Policy, Elsevier, vol. 134(C).
    39. Miquel Oliu-Barton & Bary S R Pradelski & Nicolas Woloszko & Lionel Guetta-Jeanrenaud & Philippe Aghion & Patrick Artus & Arnaud Fontanet & Philippe Martin & Guntram B Wolff, 2022. "The Effect of COVID Certificates on Vaccine Uptake, Health Outcomes, and the Economy," Post-Print hal-03813557, HAL.
    40. Dhaval Dave & Drew McNichols & Joseph J. Sabia, 2022. "Political violence, risk aversion, and population health: Evidence from the US Capitol riot," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1345-1384, October.
    41. Kisho Hoshi & Hiroyuki Kasahara & Ryo Makioka & Michio Suzuki & Satoshi Tanaka, 2021. "Trade-off between job losses and the spread of COVID-19 in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 683-716, October.
    42. Patrick Rehill & Nicholas Biddle, 2023. "Transparency challenges in policy evaluation with causal machine learning -- improving usability and accountability," Papers 2310.13240, arXiv.org, revised Mar 2024.
    43. Patrick Rehill & Nicholas Biddle, 2023. "Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making," Papers 2309.00805, arXiv.org.
    44. Nada Wasi, 2022. "Comment on “Responses to COVID‐19 in Southeast Asia: Diverse Paths and Ongoing Challenges”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 111-113, January.
    45. Ghosh Debashis & Wang Lei, 2026. "Generalized coarsened confounding for causal effects: a large-sample framework," Journal of Causal Inference, De Gruyter, vol. 14(1), pages 1-21.
    46. Bisin, Alberto & Moro, Andrea, 2022. "JUE insight: Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses," Journal of Urban Economics, Elsevier, vol. 127(C).
    47. Martina Luskova, 2026. "The Effect of Face Masks on COVID-19 Transmission: A Meta-Analysis," Economics of Disasters and Climate Change, Springer, vol. 10(1), pages 1-49, April.
    48. Federico A. Bugni & Ivan A. Canay & Steve McBride, 2023. "Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes," Papers 2302.11505, arXiv.org, revised Jul 2025.
    49. Alexander Karaivanov & Dongwoo Kim & Shih En Lu & Hitoshi Shigeoka, 2021. "COVID-19 Vaccination Mandates and Vaccine Uptake," NBER Working Papers 29563, National Bureau of Economic Research, Inc.
    50. Eitan Altman & Mandar Datar & Francesco Pellegrini & Samir Perlaza & Daniel Sadoc Menasché, 2022. "The Mask Game with Multiple Populations," Dynamic Games and Applications, Springer, vol. 12(1), pages 147-167, March.
    51. Hensel, Lukas & Witte, Marc & Caria, A. Stefano & Fetzer, Thiemo & Fiorin, Stefano & Götz, Friedrich M. & Gomez, Margarita & Haushofer, Johannes & Ivchenko, Andriy & Kraft-Todd, Gordon & Reutskaja, El, 2022. "Global Behaviors, Perceptions, and the Emergence of Social Norms at the Onset of the COVID-19 Pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 473-496.
    52. Wei Tian & Seojeong Lee & Valentyn Panchenko, 2023. "Synthetic Controls with Multiple Outcomes," Papers 2304.02272, arXiv.org, revised Jul 2024.
    53. Hansen, Niels-Jakob H. & Mano, Rui C., 2023. "Mask mandates save lives," Journal of Health Economics, Elsevier, vol. 88(C).
    54. Jessica Carrick-Hagenbarth & Eric Edlund & Avanti Mukherjee, 2023. "Analysis of Hybrid Epidemiological-Economic Models of COVID-19 Mitigation Policies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 49(4), pages 585-612, October.
    55. Emanuel Nussli & Simon Hediger & Meta-Lina Spohn & Marloes H. Maathuis, 2024. "The effect of a strict facial-mask policy on the spread of COVID-19 in Switzerland during the early phase of the pandemic," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-20, December.
    56. Mader, Sebastian & Rüttenauer, Tobias, 2021. "The effects of non-pharmaceutical interventions on COVID-19-related mortality: A generalized synthetic control approach across 169 countries," SocArXiv v2ef8, Center for Open Science.
    57. Fezzi, Carlo & Fanghella, Valeria, 2021. "Tracking GDP in real-time using electricity market data: Insights from the first wave of COVID-19 across Europe," European Economic Review, Elsevier, vol. 139(C).
    58. Greenhalgh, Trisha & Engebretsen, Eivind, 2022. "The science-policy relationship in times of crisis: An urgent call for a pragmatist turn," Social Science & Medicine, Elsevier, vol. 306(C).
    59. Gaggero, Alessio & Mesa-Pedrazas, Ángela & Fernández-Pérez, Ángel, 2024. "Shutting down to save lives: A regression discontinuity analysis of non-essential business closure," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    60. Davide Furceri & Siddharth Kothari & Longmei Zhang, 2021. "The effects of COVID‐19 containment measures on the Asia‐Pacific region," Pacific Economic Review, Wiley Blackwell, vol. 26(4), pages 469-497, October.
    61. Kim, Suji & Lee, Sujin & Ko, Eunjeong & Jang, Kitae & Yeo, Jiho, 2021. "Changes in car and bus usage amid the COVID-19 pandemic: Relationship with land use and land price," Journal of Transport Geography, Elsevier, vol. 96(C).
    62. Lindskog, Annika & Olsson, Ola, 2023. "Conditional Persistence? Historical Disease Exposure and Government Response to COVID-19," Working Papers in Economics 835, University of Gothenburg, Department of Economics, revised 11 Dec 2024.
    63. Berta, P. & Bratti, M. & Fiorio, C.V. & Pisoni, E. & Verzillo, S., 2021. "Administrative border effects in Covid-19 related mortality," Health, Econometrics and Data Group (HEDG) Working Papers 21/21, HEDG, c/o Department of Economics, University of York.
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    74. Jiayin Pei & Zhi Lu & Xiaoming Yang, 2022. "What drives people to repost social media messages during the COVID‐19 pandemic? Evidence from the Weibo news microblog," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1609-1626, December.
    75. Sumedha Gupta & Kosali I. Simon & Coady Wing, 2020. "Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review," NBER Working Papers 28139, National Bureau of Economic Research, Inc.
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    87. Giovanni Scabbia & Antonio Sanfilippo & Annamaria Mazzoni & Dunia Bachour & Daniel Perez-Astudillo & Veronica Bermudez & Etienne Wey & Mathilde Marchand-Lasserre & Laurent Saboret, 2022. "Does climate help modeling COVID-19 risk and to what extent?," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-27, September.
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    99. Feng Wang & Xing Ge & Danwen Huang, 2022. "Government Intervention, Human Mobility, and COVID-19: A Causal Pathway Analysis from 121 Countries," Sustainability, MDPI, vol. 14(6), pages 1-26, March.
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    101. Dong, Bing & Liu, Yapan & Fontenot, Hannah & Ouf, Mohamed & Osman, Mohamed & Chong, Adrian & Qin, Shuxu & Salim, Flora & Xue, Hao & Yan, Da & Jin, Yuan & Han, Mengjie & Zhang, Xingxing & Azar, Elie & , 2021. "Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review," Applied Energy, Elsevier, vol. 293(C).
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    103. Michael D. Noel, 2022. "Competitive survival in a devastated industry: Evidence from hotels during COVID‐19," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(1), pages 3-24, February.
    104. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2021. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," Papers 2101.11901, arXiv.org.
    105. Hippolyte d'Albis & Emmanuelle Augeraud-Véron & Dramane Coulibaly & Rodolphe Desbordes, 2024. "Covid-19 and mobility: determinant or consequence?," PSE-Ecole d'économie de Paris (Postprint) halshs-04331269, HAL.
    106. Sarasty, Oscar & Amin, Modhurima & Badruddoza, Syed, 2022. "Impact of the COVID-19 pandemic on agricultural commodity prices," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322240, Agricultural and Applied Economics Association.
    107. Masuhara, Hiroaki & Hosoya, Kei, 2022. "Convergent movement of COVID-19 outbreak in Japan based on SIR model," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 29-43.
    108. Levelu, Anthonin & Sandkamp, Alexander-Nikolai, 2022. "A lockdown a day keeps the doctor away: The effectiveness of non-pharmaceutical interventions during the Covid-19 pandemic," Kiel Working Papers 2221, Kiel Institute for the World Economy.
    109. Crudu, Federico & Di Stefano, Roberta & Mellace, Giovanni & Tiezzi, Silvia, 2024. "The gray zone: How not imposing a strict lockdown at the beginning of a pandemic can cost many lives," Labour Economics, Elsevier, vol. 89(C).
    110. Austin L. Wright & Geet Chawla & Luke Chen & Anthony Farmer, 2020. "Tracking Mask Mandates during the COVID-19 Pandemic," Working Papers 2020-104, Becker Friedman Institute for Research In Economics.
    111. Fırat Bilgel & Burhan Can Karahasan, 2024. "Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 793-833, February.
    112. Anand Chopra & Michael B. Devereux & Amartya Lahiri, 2022. "Pandemics through the lens of occupations," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 540-580, February.
    113. Ron S. Kenett & Giancarlo Manzi & Carmit Rapaport & Silvia Salini, 2022. "Integrated Analysis of Behavioural and Health COVID-19 Data Combining Bayesian Networks and Structural Equation Models," IJERPH, MDPI, vol. 19(8), pages 1-26, April.
    114. Carlos B. Carneiro & I'uri H. Ferreira & Marcelo C. Medeiros & Henrique F. Pires & Eduardo Zilberman, 2020. "Lockdown effects in US states: an artificial counterfactual approach," Papers 2009.13484, arXiv.org, revised Feb 2021.
    115. Regina Pleninger & Sina Streicher & Jan-Egbert Sturm, 2022. "Do COVID-19 containment measures work? Evidence from Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-24, December.
    116. Syed Abdul Rehman Khan & Danish Iqbal Godil & Munaza Bibi & Zhang Yu & Syed Muhammad Ahsan Rizvi, 2021. "The Economic and Social Impact of Teleworking in Romania: Present Practices and Post Pandemic Developments," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(58), pages 787-787, August.
    117. Gyula Seres & Anna Helen Balleyer & Nicola Cerutti & Anastasia Danilov & Jana Friedrichsen & Yiming Liu & Müge Süer, 2021. "Face masks increase compliance with physical distancing recommendations during the COVID-19 pandemic," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 139-158, December.
    118. Lash, Michael T. & Sajeesh, S. & Araz, Ozgur M., 2023. "Predicting mobility using limited data during early stages of a pandemic," Journal of Business Research, Elsevier, vol. 157(C).
    119. Martin Kahanec & Lukáš Lafférs & Bernhard Schmidpeter, 2021. "The impact of repeated mass antigen testing for COVID-19 on the prevalence of the disease," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1105-1140, October.
    120. Matheus Pereira Libório & Petr Iakovlevitch Ekel & Carlos Augusto Paiva Martins, 2023. "Economic analysis through alternative data and big data techniques: what do they tell about Brazil?," SN Business & Economics, Springer, vol. 3(1), pages 1-16, January.
    121. Difang Huang & Jiti Gao & Tatsushi Oka, 2022. "Semiparametric Single-Index Estimation for Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 10/22, Monash University, Department of Econometrics and Business Statistics.
    122. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2022. "From the lockdown to the new normal: individual mobility and local labor market characteristics following the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1517-1550, October.
    123. Andrei Zubarev & Maria Kirillova, 2022. "Modeling COVID-19 spread in the Russian Federation using global VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 117-138.
    124. Martina Luskova, 2024. "The Effect of Face Masks on Covid Transmission: A Meta-Analysis," Working Papers IES 2024/2, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2024.
    125. Julliard, Christian & Shi, Ran & Yuan, Kathy, 2023. "The spread of COVID-19 in London: network effects and optimal lockdowns," LSE Research Online Documents on Economics 118825, London School of Economics and Political Science, LSE Library.
    126. Jonas E. Arias & Jesús Fernández-Villaverde & Juan Rubio Ramírez & Minchul Shin, 2021. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," NBER Working Papers 28617, National Bureau of Economic Research, Inc.
    127. Philipp Breidenbach & Timo Mitze, 2022. "Large-scale sport events and COVID-19 infection effects: evidence from the German professional football ‘experiment’," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 15-45.
    128. Daniel Goetz, 2022. "Does providing free internet access to low‐income households affect COVID‐19 spread?," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2648-2663, December.
    129. Jonas Herby & Lars Jonung & Steve H. Hanke, 2025. "Were COVID-19 lockdowns worth it? A meta-analysis," Public Choice, Springer, vol. 203(3), pages 337-367, June.
    130. Martin Huber & Henrika Langen, 2020. "Timing matters: the impact of response measures on COVID-19-related hospitalization and death rates in Germany and Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-19, December.
    131. Amodio, Emanuele & Battisti, Michele & Kourtellos, Andros & Maggio, Giuseppe & Maida, Carmelo Massimo, 2022. "Schools opening and Covid-19 diffusion: Evidence from geolocalized microdata," European Economic Review, Elsevier, vol. 143(C).
    132. Lipić, Tomislav & Štajduhar, Andrija & Medvidović, Luka & Wild, Dorian & Korošak, Dean & Podobnik, Boris, 2022. "Stringency without efficiency is not adequate to combat pandemics," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    133. Léa BOU SLEIMAN & Germain GAUTHIER, 2020. "COVID-19: Reduced forms have gone viral, but what do they tell us?," Working Papers 2020-32, Center for Research in Economics and Statistics, revised 18 Jan 2021.
    134. Esaka, Taro & Fujii, Takao, 2022. "Quantifying the impact of the Tokyo Olympics on COVID-19 cases using synthetic control methods," Journal of the Japanese and International Economies, Elsevier, vol. 66(C).

  9. Hiroyuki Kasahara & Yoichi Sugita, 2020. "Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data," Papers 2011.00143, arXiv.org.

    Cited by:

    1. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    2. Kaoru HOSONO & Miho TAKIZAWA & Kenta YAMANOUCHI, 2022. "Foreign Direct Investment and Markups," Discussion papers 22009, Research Institute of Economy, Trade and Industry (RIETI).
    3. Matsuyama, Kiminori & Ushchev, Philip, 2022. "Destabilizing Effects of Market Size in the Dynamics of Innovation," CEPR Discussion Papers 15010, C.E.P.R. Discussion Papers.
    4. Kaoru HOSONO & Miho TAKIZAWA & Kenta YAMANOUCHI, 2022. "Financial Constraints and Markups," Discussion papers 22012, Research Institute of Economy, Trade and Industry (RIETI).
    5. Kiminori Matsuyama & Philip Ushchev, 2022. "Selection and Sorting of Heterogeneous Firms through Competitive Pressures," CIRJE F-Series CIRJE-F-1189, CIRJE, Faculty of Economics, University of Tokyo.
    6. Shinnosuke KIKUCHI, 2024. "Trends in National and Local Market Concentration in Japan: 1980-2020," Discussion papers 24049, Research Institute of Economy, Trade and Industry (RIETI).
    7. Rentaro Utamaru, 2026. "Nonparametric Identification and Estimation of Production Functions Invariant to Productivity Dynamics," Papers 2604.04458, arXiv.org, revised Apr 2026.
    8. Panon, Ludovic, 2022. "Labor share, foreign demand and superstar exporters," Journal of International Economics, Elsevier, vol. 139(C).

  10. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Testing the Order of Multivariate Normal Mixture Models," Papers 1902.02920, arXiv.org.

    Cited by:

    1. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    2. Yu Hao & Hiroyuki Kasahara, 2025. "Estimating the Number of Components in Panel Data Finite Mixture Regression Models with an Application to Production Function Heterogeneity," Papers 2506.09666, arXiv.org.
    3. Yu Hao & Hiroyuki Kasahara, 2022. "Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data," Papers 2210.02824, arXiv.org, revised Jun 2023.

  11. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.

    Cited by:

    1. Denni Tommasi & Lina Zhang, 2024. "Identifying program benefits when participation is misreported," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1123-1148, September.
    2. Marcell T. Kurbucz, 2026. "Identification of Latent Group Effects under Conditional Calibration," Papers 2604.08798, arXiv.org.
    3. Augustine Denteh & D'esir'e K'edagni, 2022. "Misclassification in Difference-in-differences Models," Papers 2207.11890, arXiv.org, revised Apr 2026.

  12. Hiroyuki Kasahara & Heiwai Tang, 2019. "Excessive Entry and Exit in Export Markets," NBER Working Papers 25878, National Bureau of Economic Research, Inc.

    Cited by:

    1. Ito, Tadashi & Nakamura, Ryohei & Morita, Manabu, 2021. "Wholesalers, indirect exports, geography, and economies of scope: Evidence from firm transaction data in Japan," Japan and the World Economy, Elsevier, vol. 58(C).
    2. Haishi Li & Zhi Li & Ziho Park & Yulin Wang & Jing Wu, 2024. "To Comply or Not to Comply: Understanding Neutral Country Supply Chain Responses to Russian Sanctions," CESifo Working Paper Series 11110, CESifo.
    3. Jamal Ibrahim Haidar, 2022. "Internalization of externalities in international trade," Empirical Economics, Springer, vol. 63(1), pages 469-497, July.

  13. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Testing the Number of Regimes in Markov Regime Switching Models," Papers 1801.06862, arXiv.org, revised Jan 2018.

    Cited by:

    1. Blazsek, Szabolcs & Escribano, Álvaro, 2022. "Score-driven threshold ice-age models: benchmark models for long-run climate forecasts," UC3M Working papers. Economics 34757, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Yu Hao & Hiroyuki Kasahara, 2025. "Estimating the Number of Components in Panel Data Finite Mixture Regression Models with an Application to Production Function Heterogeneity," Papers 2506.09666, arXiv.org.
    3. Qiuying Cheng & Xinyu Wang & Song Shi & Zhuqing Wang, 2025. "Heterogeneous impacts of fundamentals on gold market risk using regime switching quantile-based GARCH-MIDAS model," Empirical Economics, Springer, vol. 69(3), pages 1411-1465, September.
    4. Gabriel Rodriguez-Rondon & Jean-Marie Dufour, 2024. "MSTest: An R-Package for Testing Markov Switching Models," Papers 2411.08188, arXiv.org.
    5. Basistha, Arabinda, 2025. "A Markov-switching dynamic factor framework for dating global economic cycles," Journal of International Money and Finance, Elsevier, vol. 157(C).
    6. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2019. "Asymptotic properties of the maximum likelihood estimator in regime switching econometric models," Journal of Econometrics, Elsevier, vol. 208(2), pages 442-467.
    7. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2025. "The information matrix test for Markov switching autoregressive models with covariate-dependent transition probabilities," Working Papers wp2025_2502, CEMFI.
    8. Shaw, Charles, 2018. "Regime-Switching And Levy Jump Dynamics In Option-Adjusted Spreads," MPRA Paper 94154, University Library of Munich, Germany, revised 27 May 2019.
    9. Meitz, Mika & Saikkonen, Pentti, 2021. "Testing for observation-dependent regime switching in mixture autoregressive models," Journal of Econometrics, Elsevier, vol. 222(1), pages 601-624.

  14. Hiroyuki KASAHARA & Mitsukuni NISHIDA & Michio SUZUKI, 2017. "Decomposition of Aggregate Productivity Growth with Unobserved Heterogeneity," Discussion papers 17083, Research Institute of Economy, Trade and Industry (RIETI).

    Cited by:

    1. Ana Paula Cusolito & Roberto N. Fattal Jaef & Fausto Andres Patino Pena & Singh,Akshat Vikram, 2024. "The Financial Premium and Real Cost of Bureaucrats in Businesses," Policy Research Working Paper Series 10929, The World Bank.
    2. Kenta Ikeuchi & YoungGak Kim & Hyeog Ug Kwon & Kyoji Fukao, 2022. "Productivity dynamics in Japan and the negative exit effect," Contemporary Economic Policy, Western Economic Association International, vol. 40(1), pages 204-217, January.

  15. Hiroyuki Kasahara & Katsumi Shimotsu, 2017. "Asymptotic Properties of the Maximum Likelihood Estimator in Regime Switching Econometric Models," CIRJE F-Series CIRJE-F-1049, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Cavicchioli, Maddalena, 2024. "A matrix unified framework for deriving various impulse responses in Markov switching VAR: Evidence from oil and gas markets," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    2. Ruijun Bu & Jie Cheng & Fredj Jawadi, 2022. "A latent‐factor‐driven endogenous regime‐switching non‐Gaussian model: Evidence from simulation and application," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3881-3896, October.
    3. Cavicchioli, Maddalena, 2023. "Impulse response function analysis for Markov switching var models," Economics Letters, Elsevier, vol. 232(C).
    4. Frederik Krabbe, 2024. "Asymptotic Properties of the Maximum Likelihood Estimator for Markov-switching Observation-driven Models," Papers 2412.19555, arXiv.org, revised Dec 2025.
    5. 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.
    6. Chaojun Li & Yan Liu, 2020. "Asymptotic Properties of the Maximum Likelihood Estimator in Regime-Switching Models with Time-Varying Transition Probabilities," Papers 2010.04930, arXiv.org, revised Dec 2021.

  16. Hiroyuki Kasahara & Yawen Liang & Joel Rodrigue, 2013. "Does Importing Intermediates Increase the Demand for Skilled Workers? Plant-level Evidence from Indonesia," CESifo Working Paper Series 4463, CESifo.

    Cited by:

    1. Dewitte, Ruben & Dumont, Michel & Merlevede, Bruno & Rayp, Glenn & Verschelde, Marijn, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1172-1182.
    2. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
    3. Mamiko Takeuchi, 2025. "Wage Premiums and the Impact of the COVID-19 Pandemic on Highly Educated Employees in Nine Asian Countries," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 68(4), pages 1165-1186, December.
    4. Antonia Lopez Villavicencio & Ivan Ledezma, 2024. "Global Value Chains and Productivity: Causal Evidence for Firms Worldwide," EconomiX Working Papers 2024-4, University of Paris Nanterre, EconomiX.
    5. Marta Duda-Nyczak & Christian Viegelahn, 2016. "Exporters, Importers and Employment: Firm-Level Evidence from Africa," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 59(3), pages 309-341, September.
    6. Hisamitsu Saito & Toshiyuki Matsuura, 2025. "Foreign Direct Investment and Quality‐Upgrading Spillovers in Indonesia," The World Economy, Wiley Blackwell, vol. 48(5), pages 1127-1138, May.
    7. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    8. Akhmetova, Zhanar & Ferguson, Shon, 2015. "Offshoring, Total Factor Productivity and Skill-Biased Technological Change," Working Paper Series 1074, Research Institute of Industrial Economics.
    9. Li, Yifan & Miao, Zhuang & Tuuli, Maxwell, 2022. "Exchange rate volatility and import of intermediate inputs: Evidence from Chinese firms," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 120-134.
    10. Toubal, Farid & Harrigan, James & Reshef, Ariell, 2021. "Techies, Trade, and Skill-Biased Productivity," CEPR Discussion Papers 15815, C.E.P.R. Discussion Papers.
    11. Campbell, Jason, 2024. "The link between import sources and export success: Evidence from China," International Economics, Elsevier, vol. 178(C).
    12. Rottner, Elisa, 2023. "Do climate policies lead to outsourcing? Evidence from firm-level imports," ZEW Discussion Papers 23-070, ZEW - Leibniz Centre for European Economic Research.
    13. Leblebicioğlu, Asli & Weinberger, Ariel, 2021. "Openness and factor shares: Is globalization always bad for labor?," Journal of International Economics, Elsevier, vol. 128(C).
    14. Yasar, Mahmut & Rejesus, Roderick M., 2020. "International linkages, technology transfer, and the skilled labor wage share: Evidence from plant-level data in Indonesia," World Development, Elsevier, vol. 128(C).
    15. Ting Zhu & Tan Li, 2024. "Import competition, state‐owned enterprise prevalence and employment: Evidence from China," The World Economy, Wiley Blackwell, vol. 47(6), pages 2515-2535, June.
    16. Wang, Chao & Zhang, Yue-Jun, 2022. "The effect of environmental regulation and skill premium on the inflow of FDI:Evidence from Chinese industrial sectors," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 227-242.
    17. Wang, Wenxiao & Thangavelu, Shandre & Lin, Faqin, 2021. "Global value chains, firms, and wage inequality: Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    18. Miklós Koren & Márton Csillag, 2017. "Machines and Machinists: Importing Skill-Biased Technology," CEU Working Papers 2017_1, Department of Economics, Central European University.
    19. Mingrong Wang & Longnan Ma, 2025. "Import Competition, Labor Market Flexibility, and Skill Premium-Evidence from China Based on the Dynamic Threshold Model," Administrative Sciences, MDPI, vol. 15(10), pages 1-30, September.
    20. Ge, Ying & Fang, Tony & Jiang, Yeheng, 2019. "Access to Imported Intermediates and Intra-Firm Wage Inequality," IZA Discussion Papers 12246, IZA Network @ LISER.
    21. Fariha Kamal & Mary E. Lovely & Devashish Mitra, 2014. "Trade Liberalization And Labor Shares In China," Working Papers 14-24, Center for Economic Studies, U.S. Census Bureau.
    22. Mahua Paul & Ramaa Arun Kumar, 2021. "Import intensity of India’s manufactured exports: an industry level analysis," Indian Economic Review, Springer, vol. 56(1), pages 67-90, June.
    23. Chang-Hwan Choi & Xuan Zhou & Jung-O Ko, 2023. "Can Human Capital Drive Sustainable International Trade? Evidence from BRICS Countries," Sustainability, MDPI, vol. 16(1), pages 1-11, December.
    24. Chen, Wen & Xue, Wei, 2024. "The impact of capital goods trade liberalization on regional labor market in China," China Economic Review, Elsevier, vol. 86(C).
    25. Masahiro Endoh, 2020. "Trade Effects on Wage Inequality through Worker and Firm Heterogeneity in Japan," Keio-IES Discussion Paper Series 2020-017, Institute for Economics Studies, Keio University.
    26. Toshiyuki Matsuura & Hisamitsu Saito, 2023. "Foreign direct investment and labor demand by skill in Indonesian manufacturing firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(4), pages 921-941, November.
    27. García Muñoz, Teresa María & Milgram Baleix, Juliette & Odeh, Omar Odeh, 2019. "Inequality in Latin America: The role of the nature of trade and partners," Economics Discussion Papers 2019-59, Kiel Institute for the World Economy.

  17. Hiroyuki Kasahara & Katsumi Shimotsu & Michio Suzuki, 2013. "Does an R&D Tax Credit Affect R&D Expenditure? The Japanese R&D Tax Credit Reform in 2003," CESifo Working Paper Series 4451, CESifo.

    Cited by:

    1. Oliver Falck & Anna Kerkhof & Christian Pfaffl, 2023. "Taxation and Innovation: How R&D Tax Credit Schemes Foster Innovation in the Private Sector," EconPol Forum, CESifo, vol. 24(04), pages 61-66, July.
    2. OKAMURO, Hiroyuki & SAKUMA, Yohei, 2021. "The Effects of R&D Tax Incentive Reform on R&D Expenditures: The Case of 2009 Reform in Japan," TDB-CAREE Discussion Paper Series E-2021-04, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
    3. Ziesemer, Thomas, 2019. "The effects of R&D subsidies and publicly performed R&D on business R&D: A survey," MERIT Working Papers 2019-036, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Bajgar, Matěj & Srholec, Martin, 2025. "Crowding in or crowding out? Evidence from discontinuity in the assignment of business R&D subsidies," Journal of Public Economics, Elsevier, vol. 245(C).
    5. Liu, Qing & Qiu, Larry D. & Wei, Xing & Zhan, Chaoqun, 2024. "The (dis)connection between R&D and productivity in China: Policy implications of R&D tax credits," Journal of Comparative Economics, Elsevier, vol. 52(1), pages 297-320.
    6. Masanori Orihara & Yoshiaki Ogura & Yue Cai, 2022. "Borrowing in Unsettled Times and Cash Holdings Afterwards," Working Papers 2207, Waseda University, Faculty of Political Science and Economics.
    7. Pöschel, Carla, 2020. "Incentive Effects of R&D Tax Incentives: A Meta-Analysis Focusing on R&D Tax Policy Designs," arqus Discussion Papers in Quantitative Tax Research 243, arqus - Arbeitskreis Quantitative Steuerlehre, revised 2020.
    8. Nirupama L. Rao & Timothy Simcoe, 2025. "Tax Incentives for Research and Development: Policy Design and Evidence," NBER Chapters, in: Entrepreneurship and Innovation Policy and the Economy, volume 5, pages 77-95, National Bureau of Economic Research, Inc.
    9. Ivus, Olena & Jose, Manu & Sharma, Ruchi, 2021. "R&D tax credit and innovation: Evidence from private firms in india," Research Policy, Elsevier, vol. 50(1).
    10. Silvia Appelt & Matej Bajgar & Chiara Criscuolo & Fernando Galindo-Rueda, 2025. "How effective are R&D tax incentives? Reconciling micro and macro evidence," CEP Discussion Papers dp2071, Centre for Economic Performance, LSE.
    11. Yuanhong Hu & Min Jiang & Sheng Sun & Yixin Dai, 2022. "Does Trade Facilitation Promote Export Technological Sophistication? Evidence From the European Transition Countries," SAGE Open, , vol. 12(2), pages 21582440221, June.
    12. Blandinieres, Florence & Steinbrenner, Daniela, 2021. "How does the evolution of R&D tax incentives schemes impact their effectiveness? Evidence from a meta-analysis," ZEW Discussion Papers 21-020, ZEW - Leibniz Centre for European Economic Research.
    13. Chih‐Hai Yang & Chia‐Hui Huang & Wei‐Hsuan Chang, 2021. "Does Reduction In The Tax Credit Rate Retard R&D Activity? Evidence From Taiwan'S R&D Tax Credit Reform In 2010," Contemporary Economic Policy, Western Economic Association International, vol. 39(2), pages 398-415, April.
    14. Pfeiffer, Olena & Spengel, Christoph, 2017. "Tax incentives for research and development and their use in tax planning," ZEW Discussion Papers 17-046, ZEW - Leibniz Centre for European Economic Research.
    15. John Lester, 2021. "Benefit-Cost Analysis of Federal and Provincial SR&ED Investment Tax Credits," SPP Research Papers, The School of Public Policy, University of Calgary, vol. 14(1), January.

  18. Kasahara Hiroyuki & Shimotsu Katsumi, 2012. "Testing the Number of Components in Finite Mixture Models," Global COE Hi-Stat Discussion Paper Series gd12-259, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Yu Hao & Hiroyuki Kasahara, 2025. "Estimating the Number of Components in Panel Data Finite Mixture Regression Models with an Application to Production Function Heterogeneity," Papers 2506.09666, arXiv.org.
    2. Yangguang Huang & Ming He, 2021. "Structural Analysis Of Tullock Contests With An Application To U.S. House Of Representatives Elections," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 1011-1054, August.
    3. Yu Hao & Hiroyuki Kasahara, 2022. "Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data," Papers 2210.02824, arXiv.org, revised Jun 2023.
    4. Meitz, Mika & Saikkonen, Pentti, 2021. "Testing for observation-dependent regime switching in mixture autoregressive models," Journal of Econometrics, Elsevier, vol. 222(1), pages 601-624.

  19. Hiroyuki Kasahara, & Katsumi Shimotsu & Michio Suzuki, 2012. "Does an R&D Tax Credit Affect R&D Expenditure? The Japanese Tax Credit Reform in 2003," CARF F-Series CARF-F-275, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Oct 2013.

    Cited by:

    1. Castellacci, Fulvio & Lie, Christine, 2013. "Do the effects of R&D tax credits vary across industries? A meta-regression analysis," MPRA Paper 47937, University Library of Munich, Germany.

  20. Kasahara Hiroyuki & Shimotsu Katsumi, 2012. "Nonparametric Identification and Estimation of the Number of Components in Multivariate Mixtures," Global COE Hi-Stat Discussion Paper Series gd12-247, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Konstantin T. Matchev & Prasanth Shyamsundar, 2020. "InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification," Papers 2009.00131, arXiv.org.
    2. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    3. Yu Hao & Hiroyuki Kasahara, 2025. "Estimating the Number of Components in Panel Data Finite Mixture Regression Models with an Application to Production Function Heterogeneity," Papers 2506.09666, arXiv.org.
    4. Bonhomme, Stéphane & Jochmans, Koen & Robin, Jean-Marc, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," Journal of Econometrics, Elsevier, vol. 201(2), pages 237-248.
    5. Marie du Roy de Chaumaray & Matthieu Marbac, 2023. "Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(4), pages 1081-1122, December.
    6. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2016. "Non-parametric estimation of finite mixtures from repeated measurements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 211-229, January.
    7. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Nonparametric spectral-based estimation of latent structures," CeMMAP working papers CWP18/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2016. "Estimating Multivariate Latent-Structure Models," Sciences Po Economics Publications (main) hal-03392022, HAL.
    9. Qihui Chen & Zheng Fang, 2018. "Improved Inference on the Rank of a Matrix," Papers 1812.02337, arXiv.org, revised Mar 2019.
    10. Áureo de Paula & Xun Tang, 2020. "Testable implications of multiple equilibria in discrete games with correlated types," CeMMAP working papers CWP56/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Hu, Yingyao & Xin, Yi, 2024. "Identification and estimation of dynamic structural models with unobserved choices," Journal of Econometrics, Elsevier, vol. 242(2).
    12. Johannes F. Jörg & Catherine Cleophas, 2022. "Nonparametric estimation of customer segments from censored sales panel data," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(4), pages 393-417, August.
    13. Erhao Xie, 2018. "Inference in Games Without Nash Equilibrium: An Application to Restaurants, Competition in Opening Hours," Staff Working Papers 18-60, Bank of Canada.
    14. Yu Hao & Hiroyuki Kasahara, 2022. "Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data," Papers 2210.02824, arXiv.org, revised Jun 2023.
    15. Michael Levine & Gildas Mazo, 2024. "A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure," Computational Statistics, Springer, vol. 39(4), pages 1825-1846, June.
    16. Xu, Ke-Li, 2018. "A semi-nonparametric estimator of regression discontinuity design with discrete duration outcomes," Journal of Econometrics, Elsevier, vol. 206(1), pages 258-278.
    17. David Balan & Patrick DeGraba & Francine Lafontaine & Patrick McAlvanah & Devesh Raval & David Schmidt, 2015. "Economics at the FTC: Fraud, Mergers and Exclusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(4), pages 371-398, December.
    18. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    19. Bagkavos, Dimitrios & Patil, Prakash N., 2023. "Goodness-of-fit testing for normal mixture densities," Computational Statistics & Data Analysis, Elsevier, vol. 188(C).
    20. Hiroaki Masuhara, 2019. "Identifying finite mixture models in the presence of moment-generating function: application in medical care using a zero-inflated binomial model," Economics Bulletin, AccessEcon, vol. 39(2), pages 1529-1537.

  21. Kasahara, Hiroyuki & 笠原, 博幸 & Shimotsu, Katsumi & 下津, 克己, 2011. "Sequential Estimation of Dynamic Programming Models with Unobserved Heterogeneity," Discussion Papers 2011-03, Graduate School of Economics, Hitotsubashi University.

    Cited by:

    1. 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.
    2. Shintaro Yamaguchi, 2016. "Effects of Parental Leave Policies on Female Career and Fertility Choices," Department of Economics Working Papers 2016-10, McMaster University.
    3. Shintaro Yamaguchi, 2015. "Effects of Parental Leave Policies on Female Career and Fertility Choices," Working Papers e096, Tokyo Center for Economic Research.
    4. Yamaguchi, Shintaro, 2016. "Effects of Parental Leave Policies on Female Career and Fertility Choices," CEI Working Paper Series 2016-8, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    5. Alexander Karaivanov & Robert M. Townsend, 2013. "Dynamic Financial Constraints: Distinguishing Mechanism Design from Exogenously Incomplete Regimes," NBER Working Papers 19617, National Bureau of Economic Research, Inc.

  22. Hiroyuki KASAHARA & Katsumi SHIMOTSU & Michio SUZUKI, 2011. "How Much Do R&D Tax Credits Affect R&D Expenditures? Japanese tax credit reform in 2003," Discussion papers 11072, Research Institute of Economy, Trade and Industry (RIETI).

    Cited by:

    1. Yohei Kobayashi, 2014. "Effect of R&D tax credits for SMEs in Japan: a microeconometric analysis focused on liquidity constraints," Small Business Economics, Springer, vol. 42(2), pages 311-327, February.

  23. Hiroyuki Kasahara & Beverly Lapham, 2008. "Productivity and the Decision to Import and Export: Theory and Evidence," CESifo Working Paper Series 2240, CESifo.

    Cited by:

    1. Ricardo A. López & Huong D. Nguyen, 2015. "Real Exchange Rate Volatility and Imports of Intermediate Inputs: A Microeconometric Analysis of Manufacturing Plants," Review of International Economics, Wiley Blackwell, vol. 23(5), pages 972-995, November.
    2. Bruno Merlevede & Angelos Theodorakopoulos, 2016. "Productivity effects from inter-industry offshoring and inshoring: Firm-level evidence from Belgium," FIW Working Paper series 165, FIW.
    3. Alfonso Exposito & Juan A. Sanchis-Llopis, 2020. "The effects of innovation on the decisions of exporting and/or importing in SMEs: empirical evidence in the case of Spain," Small Business Economics, Springer, vol. 55(3), pages 813-829, October.
    4. Segundo Camino‐Mogro & Paul Carrillo‐Maldonado, 2023. "Do imports of intermediate inputs generate higher productivity? Evidence from Ecuadorian manufacturing firms," The World Economy, Wiley Blackwell, vol. 46(5), pages 1471-1521, May.
    5. Eck, Katharina & Engemann, Martina & Schnitzer, Monika, 2012. "How Trade Credits Foster International Trade," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 379, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    6. Michele Imbruno & Rosanna Pittiglio & Filippo Reganati, 2015. "FDI, Intermediate Inputs and Firm Performance: Theory and Evidence from Italy," Discussion Papers 2015-15, University of Nottingham, GEP.
    7. Gaigne, Carl & Le Mener, Leo, 2012. "Agricultural Prices, Selection, and the Evolution of Food Industry," Working Papers 125221, Structure and Performance of Agriculture and Agri-products Industry (SPAA).
    8. Altomonte, Carlo & Aquilante, Tommaso & Békés, Gábor & Ottaviano, Gianmarco I. P., 2014. "Internationalization and innovation of firms: evidence and policy," LSE Research Online Documents on Economics 60275, London School of Economics and Political Science, LSE Library.
    9. Miaojie Yu & Jin Li, 2014. "Imported Intermediate Inputs, Firm Productivity and Product Complexity," The Japanese Economic Review, Japanese Economic Association, vol. 65(2), pages 178-192, June.
    10. Leila Baghdadi & Sonia Ben Kheder & Hassen Arouri, 2017. "In Search of A New Development Model For Tunisia: Assessing the Performance of the Offshore Regime," Working Papers 1118, Economic Research Forum, revised 07 Jun 2017.
    11. Parra, María Dolores & Martínez-Zarzoso, Inmaculada, 2015. "Imported inputs and Egyptian exports: Exploring the links," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 9, pages 1-31.
    12. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    13. Gibson, Mark & Graciano, Tim, 2011. "Trade Models with Heterogeneous Firms: What About Importing?," MPRA Paper 33048, University Library of Munich, Germany.
    14. Santos, Eleonora, 2017. "Externalities from FDI on domestic firms’ Productivity: A Literature Review for Developed Countries," MPRA Paper 88958, University Library of Munich, Germany.
    15. Hiroyuki Kasahara & Yawen Liang & Joel Rodrigue, 2013. "Does Importing Intermediates Increase the Demand for Skilled Workers? Plant-level Evidence from Indonesia," CESifo Working Paper Series 4463, CESifo.
    16. Bas, Maria & Paunov, Caroline, 2021. "Disentangling trade reform impacts on firm market and production decisions," European Economic Review, Elsevier, vol. 135(C).
    17. Chen, Binkai & Guo, Dongmei & Li, Yuting & Xia, Junjie & Xu, Mingzhi, 2025. "How U.S. tariffs impact China’s domestic sourcing: Evidence from firm-to-firm transactions," Journal of International Money and Finance, Elsevier, vol. 150(C).
    18. Li, Mingyang & Kumbhakar, Subal C., 2025. "Export and productivity in Chinese manufacturing: A semiparametric smooth coefficient approach," Economics Letters, Elsevier, vol. 256(C).
    19. Andreas Dür & Lisa Lechner, 2023. "Winners and Losers From Trade Agreements: Stock Market Reactions to TPP and TTIP," Politics and Governance, Cogitatio Press, vol. 11(4), pages 200-211.
    20. Huang, Geng & Lin, Xi & He, Ling-Yun, 2025. "Importing intermediates from high-tech countries versus from low-tech countries: Theory and evidence from enterprise-level energy efficiency," Energy Economics, Elsevier, vol. 145(C).
    21. Li, Xiao-Lin & Li, Jingya & Wang, Jia & Si, Deng-Kui, 2021. "Trade policy uncertainty, political connection and government subsidy: Evidence from Chinese energy firms," Energy Economics, Elsevier, vol. 99(C).
    22. Segundo Camino-Mogro & Mary Armijos & Paul Vera-Gilces, 2022. "High-growth firms and international trade: evidence from Ecuador," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 299-332, January.
    23. Sadayuki Takii, . "Import Penetration, Export Orientation and Plant Size in Indonesian Manufacturing," Chapters, in: Chin Hee Hahn & Dionisius A. Narjoko (ed.), Globalization and Performance of Small and Large Firms, chapter 6, pages VI-1 - VI, Economic Research Institute for ASEAN and East Asia (ERIA).
    24. Peters, Bettina & Riley, Rebecca & Siedschlag, Iulia & Vahter, Priit & McQuinn, John, 2014. "Innovation and Productivity in Services:Evidence from Germany, Ireland and the United Kingdom," Papers WP480, Economic and Social Research Institute (ESRI).
    25. Dalgic, Basak & Fazlioglu, Burcu & Gasiorek, Michael, 2015. "Costs of trade and self-selection into exporting and importing: The case of Turkish manufacturing firms," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 9, pages 1-28.
    26. Joaquin Blaum, 2018. "Global Firms in Large Devaluations," 2018 Meeting Papers 593, Society for Economic Dynamics.
    27. Ramanarayanan, Ananth, 2017. "Imported inputs, irreversibility, and international trade dynamics," Journal of International Economics, Elsevier, vol. 104(C), pages 1-18.
    28. Michele Imbruno, 2019. "Importing under trade policy uncertainty: Evidence from China," Post-Print hal-02171715, HAL.
    29. Egger, Hartmut & Kreickemeier, Udo & Wrona, Jens, 2015. "Offshoring domestic jobs," Journal of International Economics, Elsevier, vol. 97(1), pages 112-125.
    30. Sato, Hitoshi & Zhu, Lianming, 2014. "Tariff reductions and labor demand elasticities : evidence from Chinese firm-level data," IDE Discussion Papers 463, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    31. Carballo, Jerónimo & Schaur, Georg & Graziano, Alejandro & Volpe Martincus, Christian, 2016. "Transit Trade," IDB Publications (Working Papers) 7688, Inter-American Development Bank.
    32. Kasahara, Hiroyuki & Rodrigue, Joel, 2008. "Does the use of imported intermediates increase productivity? Plant-level evidence," Journal of Development Economics, Elsevier, vol. 87(1), pages 106-118, August.
    33. Trang T. Hoang, 2022. "The Dynamics of Global Sourcing," International Finance Discussion Papers 1337, Board of Governors of the Federal Reserve System (U.S.).
    34. Ariu, Andrea & Breinlich, Holger & Corcos, Gregory & Mion, Giordano, 2019. "The interconnections between services and goods trade at the firm-level," Journal of International Economics, Elsevier, vol. 116(C), pages 173-188.
    35. Peter Tóth, 2014. "To What Extent Can Czech Exporters Cushion Exchange Rate Shocks through Imported Inputs?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 74-93.
    36. Anders Rosenstand Laugesen, 2015. "Extensive Margins of Offshoring and Exporting," Economics Working Papers 2015-24, Department of Economics and Business Economics, Aarhus University.
    37. Nakhoda, Aadil, 2013. "The impact of the exports of BRIC countries plus Turkey on the exports of Pakistan," MPRA Paper 52477, University Library of Munich, Germany.
    38. Haruka Yane, 2019. "Global value chains and labor markets," Asia-Pacific Journal of Regional Science, Springer, vol. 3(1), pages 177-200, February.
    39. JaeBin Ahn & Moon Jung Choi, 2016. "From Firm-level Imports to Aggregate Productivity: Evidence from Korean Manufacturing Firms Data," Working Papers 2016-6, Economic Research Institute, Bank of Korea.
    40. Lo Turco, Alessia & Maggioni, Daniela, 2014. "The micro evolution of trade and turnover in Turkey under the global crisis," Economic Systems, Elsevier, vol. 38(3), pages 397-414.
    41. Jichuan Sheng & Jing Xin & Weihai Zhou, 2023. "The impact of environmental regulations on corporate productivity via import behaviour: the case of China’s manufacturing corporations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3671-3697, April.
    42. Emanuele Brancati & Raffaele Brancati & Dario Guarascio & Antonello Zanfei, 2022. "Innovation drivers of external competitiveness in the great recession," Small Business Economics, Springer, vol. 58(3), pages 1497-1516, March.
    43. Andrew B. Bernard & J. Bradford Jensen & Stephen J. Redding & Peter K. Schott, 2016. "Global Firms," NBER Working Papers 22727, National Bureau of Economic Research, Inc.
    44. Cao, Yuanyuan & Chen, Shaojian & Tang, Heyan, 2025. "Robot adoption and firm export: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    45. Michele Imbruno, 2018. "Importing under trade policy uncertainty: Evidence from China," Working Papers halshs-01823910, HAL.
    46. Sara Formai & Filippo Vergara Caffarelli, 2015. "Quantifying the productivity e ects of global value chains," Cambridge Working Papers in Economics 1564, Faculty of Economics, University of Cambridge.
    47. Bruno Merlevede & Angelos Theodorakopoulos, 2018. "Productivity Effects Of Internationalisation Through The Domestic Supply Chain: Evidence From Europe," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 18/949, Ghent University, Faculty of Economics and Business Administration.
    48. Santiago Camara, 2022. "Granular Linkages, Supplier Cost Shocks & Export Performance," Working Papers 153, Red Nacional de Investigadores en Economía (RedNIE).
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    212. Maria Bas & Åsa Johansson & Fabrice Murtin & Giuseppe Nicoletti, 2016. "The effects of input tariffs on productivity: panel data evidence for OECD countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(2), pages 401-424, May.
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    228. Juan de Lucio & Carmen Díaz-Mora & Raúl Mínguez & Asier Minondo & Francisco Requena, 2023. "Do firms react to supply-chain disruptions?," Working Papers 2306, Department of Applied Economics II, Universidad de Valencia.
    229. Tomohiro ARA & Hongyong ZHANG, 2019. "The Margins of Intermediate Goods Trade: Theory and Evidence," Discussion papers 19109, Research Institute of Economy, Trade and Industry (RIETI).
    230. Michele Bernini & Chiara Tomasi, 2014. "Exchange rate pass-through and product heterogeneity: does quality matter on the import side?," Working Papers 2014020, The University of Sheffield, Department of Economics.
    231. Qasim, Ahmed Waqar & Itaya, Jun-ichi, 2019. "Trade Policy with Intermediate Inputs Trade," Discussion paper series. A 342, Graduate School of Economics and Business Administration, Hokkaido University.
    232. Francesco Nucci & Filomena Pietrovito & Alberto Franco Pozzolo, 2021. "Imports and credit rationing: A firm‐level investigation," The World Economy, Wiley Blackwell, vol. 44(11), pages 3141-3167, November.
    233. Elena A. Fedorova & Aleksei E. Nikolaev & Yuliya S. Shirokova & Fedor Yu. Fedorov, 2019. "Export and Import Activities of Russian Companies With FDI in the Context of Sanctions," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 75-90, June.
    234. Antrà s, Pol & Chor, Davin, 2021. "Global Value Chains," CEPR Discussion Papers 15908, C.E.P.R. Discussion Papers.
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    236. M.R. van den Berg, 2013. "Importing, productivity and SMEs: firm-level evidence from the Netherlands," Working Papers 13-07, Utrecht School of Economics.
    237. Alfonso Expósito & Amparo Sanchis-Llopis & Juan A. Sanchis-Llopis, 2021. "The effect of the manager gender on SMEs export and import decisions: Evidence for Spain," Working Papers 2115, Department of Applied Economics II, Universidad de Valencia.
    238. Maria Bas, 2009. "Trade, Foreign Inputs and Firms’ Decisions: Theory and Evidence," Working Papers 2009-35, CEPII research center.
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    240. Youngwoo Rho & Joel Rodrigue, 2016. "Firm‐Level Investment And Export Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 271-304, February.
    241. Francesco Serti & Chiara Tomasi & Antonello Zanfei, 2009. "The links between internationalization, skills and wages. The role of differences across firms and across partner countries," LEM Papers Series 2009/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    242. Khan,Shafaat Yar & Khederlarian, Armen, 2021. "Inventories, Input Costs, and Productivity Gains from Trade Liberalizations," Policy Research Working Paper Series 9564, The World Bank.
    243. Vandenbussche, Hylke & Viegelahn, Christian, 2016. "Input Reallocation Within Firms," CEPR Discussion Papers 11395, C.E.P.R. Discussion Papers.
    244. Ligia Melo & Carlos Ballesteros, 2014. "Impacto de los factores externos sobre la creación y destrucción de empleo en el sector manufacturero colombiano," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 81, pages 155-186.
    245. Cuneyt Koyuncu & Rasim Yilmaz, 2010. "Chinese exports and productivity gains: panel evidence," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 24(2), pages 161-170, November.
    246. Ferguson, Shon & Sanctuary, Mark, 2014. "Firm Productivity and Carbon Leakage: A Study of Swedish Manufacturing Firms," Working Paper Series 1035, Research Institute of Industrial Economics.
    247. María D. Parra & Inmaculada Martínez-Zarzoso, 2014. "Imported intermediate inputs and Egyptian exports: Exploring the links," Working Papers 2014/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    248. Huang, Geng & He, Ling-Yun & Lin, Xi, 2023. "Deterioration or improvement? Intermediate product import and enterprises' environmental performance," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 139-150.
    249. Reasner,Mason Scott & Tan,Shawn Weiming, 2021. "International Sourcing and Firm Learning : Evidence from Serbian Firms," Policy Research Working Paper Series 9790, The World Bank.
    250. Tomohiro ARA, 2019. "Two-sided Heterogeneity: New implications for input trade," Discussion papers 19065, Research Institute of Economy, Trade and Industry (RIETI).
    251. Maria Bas & Vanessa Strauss-Kahn, 2014. "Does importing more inputs raise exports? Firm-level evidence from France," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 150(2), pages 241-275, May.
    252. Görg, Holger & Seric, Adnan, 2013. "With a little help from my friends: Supplying to multinationals, buying from multinationals, and domestic firm performance," Kiel Working Papers 1867, Kiel Institute for the World Economy.
    253. Karishma Banga, 2022. "Impact of global value chains on total factor productivity: The case of Indian manufacturing," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 704-735, May.
    254. Serrano-Domingo, Guadalupe & Requena-Silvente, Francisco & María A. Martín-Montaner, Joan & Raúl Mínguez, 2025. "Exploring the import-export nexus at firm level using a generalized propensity score approach," Working Papers 2516, Department of Applied Economics II, Universidad de Valencia.
    255. Alessandra Bonfiglioli & Rosario Crinò & Gino Gancia, 2021. "International Trade with Heterogeneous Firms: Theory and Evidence," CESifo Working Paper Series 9423, CESifo.
    256. Chandra Putra & Dionisius Narjoko, 2022. "Simultaneity and Heterogeneity in Import and Productivity: Case Study of Indonesian Manufacturing," ADBI Working Papers 1319, Asian Development Bank Institute.
    257. Eugene Beaulieu & Shan Wan, "undated". "International Technology Diffusion via Goods Trade: Theory and Evidence from China," Working Papers 2016-38, Department of Economics, University of Calgary, revised 12 Aug 2016.
    258. Dayna Zaclicever & Andrea Pellandra, 2018. "Imported inputs, technology spillovers and productivity: firm-level evidence from Uruguay," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(4), pages 725-743, November.
    259. Lucia Errico & Sandro Rondinella & Francesco Trivieri, 2025. "Financial Constraints and Firms’ Productivity: The Role of Participation in Global Value Chains," Open Economies Review, Springer, vol. 36(4), pages 1229-1253, September.
    260. Roger Bandick, 2020. "Global sourcing, productivity and export intensity," The World Economy, Wiley Blackwell, vol. 43(3), pages 615-643, March.
    261. Brancati, Emanuele & Brancati, Raffaele & Guarascio, Dario & Zanfei, Antonello, 2020. "In Times of Trouble: Innovative Drivers of External Competitiveness for Small Businesses during the Great Recession," GLO Discussion Paper Series 639, Global Labor Organization (GLO).
    262. Zhang, Dongyang & Zheng, Wenping & Ning, Lutao, 2018. "Does innovation facilitate firm survival? Evidence from Chinese high-tech firms," Economic Modelling, Elsevier, vol. 75(C), pages 458-468.
    263. SUGITA, Yoichi & 杉田, 洋一, 2017. "A Matching Theory of Global Supply Chains," Discussion paper series HIAS-E-62, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    264. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2008. "Pseudo-likelihood estimation and bootstrap inference for structural discrete Markov decision models," Journal of Econometrics, Elsevier, vol. 146(1), pages 92-106, September.
    265. Boehe, Dirk & F S Campos, Camila & Menezes-Filho, Naercio, 2017. "Importers and the Survival of New Exporters," MPRA Paper 116045, University Library of Munich, Germany, revised 2022.

  24. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2008. "Sequential Estimation of Structural Models with a Fixed Point Constraint," Queen's Economics Department Working Papers 273669, Queen's University - Department of Economics.

    Cited by:

    1. Yanqin Fan & Yigit Okar & Xuetao Shi, 2024. "Iterative Distributed Multinomial Regression," Papers 2412.01030, arXiv.org.
    2. 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.
    3. Aguirregabiria, Victor & Nevo, Aviv, 2010. "Recent developments in empirical IO: dynamic demand and dynamic games," MPRA Paper 27814, University Library of Munich, Germany.
    4. Suguru Otani, 2024. "Industry Dynamics with Cartels: The Case of the Container Shipping Industry," Papers 2407.15147, arXiv.org.
    5. Victor Aguirregabiria & Mathieu Marcoux, 2021. "Imposing equilibrium restrictions in the estimation of dynamic discrete games," Quantitative Economics, Econometric Society, vol. 12(4), pages 1223-1271, November.
    6. Suguru Otani, 2024. "Industry Dynamics with Cartels: The Case of the Container Shipping Industry," Discussion Paper Series DP2024-28, Research Institute for Economics & Business Administration, Kobe University.
    7. Adam Dearing & Jason R. Blevins, 2019. "Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games," Papers 1912.10488, arXiv.org, revised Apr 2024.
    8. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2013. "Testing for Equilibrium Multiplicity in Dynamic Markov Games," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 423, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    9. Sumon Datta & K. Sudhir, 2013. "Does reducing spatial differentiation increase product differentiation? Effects of zoning on retail entry and format variety," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 83-116, March.
    10. Liu, Xiaodong & Zhou, Jiannan, 2017. "A social interaction model with ordered choices," Economics Letters, Elsevier, vol. 161(C), pages 86-89.
    11. Fabio A. Miessi Sanches & Daniel Junior Silva & Sorawoot Srisuma, 2016. "Ordinary Least Squares Estimation Of A Dynamic Game Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 623-634, May.
    12. Blevins, Jason R. & Kim, Minhae, 2024. "Nested Pseudo likelihood estimation of continuous-time dynamic discrete games," Journal of Econometrics, Elsevier, vol. 238(2).
    13. Takeshi Fukasawa, 2024. "Fast and simple inner-loop algorithms of static / dynamic BLP estimations," Papers 2404.04494, arXiv.org, revised Apr 2025.
    14. Sumon Datta & K. Sudhir, 2012. "Does Reducing Spatial Differentiation Increase Product Differentiation" Effects of Zoning on Retail Entry and Format Variety," Cowles Foundation Discussion Papers 1851, Cowles Foundation for Research in Economics, Yale University, revised Sep 2012.
    15. Mathieu Lambotte, 2025. "Heterogeneity in peer effects for binary outcomes," Papers 2511.15891, arXiv.org, revised Nov 2025.
    16. Sumon Datta & K. Sudhir, 2013. "Does reducing spatial differentiation increase product differentiation? Effects of zoning on retail entry and format variety," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 83-116, March.
    17. Konan Hara & Yuki Ito & Paul Koh, 2022. "Identification and Estimation of Dynamic Games with Unknown Information Structure," Papers 2205.03706, arXiv.org, revised Oct 2025.
    18. Sumon Datta & K. Sudhir, 2023. "The Agglomeration-Differentiation Tradeoff in Spatial Location Choice," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 10(1), pages 1-25, December.
    19. Chomsisengphet, Souphala & Kiefer, Hua & Liu, Xiaodong, 2018. "Spillover effects in home mortgage defaults: Identifying the power neighbor," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 68-82.
    20. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
    21. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    22. Jacob Schwartz, 2018. "Schooling Choice, Labour Market Matching, and Wages," Papers 1803.09020, arXiv.org, revised Aug 2019.
    23. Marleen Marra, 2024. "Estimating and Auction Platform Game with Two-Sided Entry," Sciences Po Economics Discussion Papers hal-03393068, HAL.
    24. Chen, Denghui & Kiefer, Hua & Liu, Xiaodong, 2022. "Estimation of discrete choice network models with missing outcome data," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    25. Christopher Ferrall, 2020. "Object Oriented (Dynamic) Programming: Replication, Innovation and "Structural" Estimation," Working Paper 1432, Economics Department, Queen's University.
    26. Mathieu Lambotte & Benjamin Montmartin, 2025. "Competition, Conformism and the Voluntary Adoption of Policies Designed to Freeze Prices," GREDEG Working Papers 2025-17, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Jul 2025.
    27. Aguirregabiria, Victor & Ho, Chun-Yu, 2012. "A dynamic oligopoly game of the US airline industry: Estimation and policy experiments," Journal of Econometrics, Elsevier, vol. 168(1), pages 156-173.
    28. Taisuke Otsu & Martin Pesendorfer, 2021. "Equilibrium multiplicity in dynamic games: testing and estimation," STICERD - Econometrics Paper Series 618, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    29. Pesendorfer, Martin & Takahashi, Yuya & Otsu, Taisuke, 2014. "Testing Equilibrium Multiplicity in Dynamic Games," CEPR Discussion Papers 10111, C.E.P.R. Discussion Papers.
    30. Otero, Karina V., 2016. "Nonparametric identification of dynamic multinomial choice games: unknown payoffs and shocks without interchangeability," MPRA Paper 86784, University Library of Munich, Germany.
    31. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2016. "Pooling data across markets in dynamic Markov games," LSE Research Online Documents on Economics 66182, London School of Economics and Political Science, LSE Library.
    32. Jinhyuk Lee & Kyoungwon Seo, 2015. "A computationally fast estimator for random coefficients logit demand models using aggregate data," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 86-102, March.
    33. Taisuke Otsu & Martin Pesendorfer, 2023. "Equilibrium multiplicity in dynamic games: Testing and estimation," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 26-42.
    34. Christopher Ferrall, 2023. "Object Oriented (Dynamic) Programming: Closing the “Structural” Estimation Coding Gap," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 761-816, October.
    35. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    36. Guerra, José Alberto & Mohnen, Myra, 2022. "Multinominal choice with social interactions: occupations in Victorian London," LSE Research Online Documents on Economics 115715, London School of Economics and Political Science, LSE Library.
    37. Fabio A. Miessi Sanches & Daniel Silva Junior, Sorawoot Srisuma, 2014. "Ordinary Least Squares Estimation for a Dynamic Game," Working Papers, Department of Economics 2014_19, University of São Paulo (FEA-USP), revised 23 Feb 2015.
    38. Yue Liu & Rong Luo, 2023. "Network Effects and Multinetwork Sellers’ Dynamic Pricing in the U.S. Smartphone Market," Management Science, INFORMS, vol. 69(6), pages 3297-3318, June.
    39. Sun, Yutec & Ishihara, Masakazu, 2019. "A computationally efficient fixed point approach to dynamic structural demand estimation," Journal of Econometrics, Elsevier, vol. 208(2), pages 563-584.

  25. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2007. "Nonparametric Identification and Estimation of Multivariate Mixtures," Queen's Economics Department Working Papers 273629, Queen's University - Department of Economics.

    Cited by:

    1. Yingying Dong & Arthur Lewbel, 2009. "Nonparametric Identification of a Binary Random Factor in Cross Section Data," Boston College Working Papers in Economics 707, Boston College Department of Economics, revised 01 Jul 2010.

  26. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2006. "Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices," Queen's Economics Department Working Papers 273568, Queen's University - Department of Economics.

    Cited by:

    1. Hiroyuki Kasahara & Katsumi Shimotsu, 2008. "Sequential Estimation of Structural Models with a Fixed Point Constraint," CESifo Working Paper Series 2507, CESifo.
    2. John Bound & Todd Stinebrickner & Timothy Waidmann, 2007. "Health, Economic Resources and the Work Decisions of Older Men," NBER Working Papers 13657, National Bureau of Economic Research, Inc.
    3. Victor Aguirregabiria & Pedro mira, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers tecipa-297, University of Toronto, Department of Economics.
    4. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2008. "Pseudo-likelihood estimation and bootstrap inference for structural discrete Markov decision models," Journal of Econometrics, Elsevier, vol. 146(1), pages 92-106, September.

  27. Kasahara, Hiroyuki & Lapham, Beverly, 2006. "Import Protection as Export Destruction," Queen's Economics Department Working Papers 273540, Queen's University - Department of Economics.

    Cited by:

    1. Ling Feng & Zhiyuan Li & Deborah L. Swenson, 2012. "The Connection between Imported Intermediate Inputs and Exports: Evidence from Chinese Firms," IAW Discussion Papers 86, Institut für Angewandte Wirtschaftsforschung (IAW).
    2. Olivier CADOT & Céline CARRERE & Vanessa STRAUSS-KAHN, 2011. "Trade Diversification, Income, and Growth: What Do We Know?," Working Papers P33, FERDI.
    3. Idrisova, Vittoria (Идрисова, Виттория), 2017. "Determinants of Value-Added Exports: The Role of Import Demand Factors [Детерминанты Экспорта Добавленной Стоимости: Роль Факторов Спроса На Импорт]," Working Papers 051715, Russian Presidential Academy of National Economy and Public Administration.
    4. Ponomareva, Ekaterina (Пономарева, Екатерина) & Magomedov, Rustam (Магомедов, Рустам), 2017. "Non-Tariff Measures and the Structure of Trade Flows [Нетарифные Меры И Структура Торговых Потоков]," Working Papers 051704, Russian Presidential Academy of National Economy and Public Administration.
    5. Ananth Ramanarayanan, 2007. "International Trade Dynamics with Intermediate Inputs," 2007 Meeting Papers 722, Society for Economic Dynamics.
    6. Paolo Guerrieri & Filippo Vergara Caffarelli, 2012. "Trade openness and international fragmentation of production in the European Union: the new divide?," Temi di discussione (Economic working papers) 855, Bank of Italy, Economic Research and International Relations Area.
    7. Gnangnon, Sèna Kimm, 2020. "Aid for Trade, Export Product Diversification and Import Product Diversification," EconStor Preprints 223021, ZBW - Leibniz Information Centre for Economics.
    8. Bas, Maria & Strauss-Kahn, Vanessa, 2010. "Does importing more inputs raise exports? Firm level evidence from France," MPRA Paper 27315, University Library of Munich, Germany.

  28. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2006. "Nested Pseudo-likelihood Estimation and Bootstrap-based Inference for Structural Discrete Markov Decision Models," Queen's Economics Department Working Papers 273539, Queen's University - Department of Economics.

    Cited by:

    1. Hiroyuki Kasahara & Katsumi Shimotsu, 2006. "Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices," University of Western Ontario, Departmental Research Report Series 20065, University of Western Ontario, Department of Economics.
    2. Victor Aguirregabiria & Pedro mira, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers tecipa-297, University of Toronto, Department of Economics.
    3. Hiroyuki Kasahara & Katsumi Shimotsu, 2008. "Sequential Estimation Of Structural Models With A Fixed Point Constraint," Working Paper 1192, Economics Department, Queen's University.

  29. Joel Rodrigue & Hiroyuki Kasahara, 2004. "Does the Use of Imported Intermediates Increase Productivity? Plant-Level Evidence," Econometric Society 2004 North American Summer Meetings 511, Econometric Society.

    Cited by:

    1. Ricardo A. López & Huong D. Nguyen, 2015. "Real Exchange Rate Volatility and Imports of Intermediate Inputs: A Microeconometric Analysis of Manufacturing Plants," Review of International Economics, Wiley Blackwell, vol. 23(5), pages 972-995, November.
    2. Hiroyuki Kasahara & Beverly Lapham, 2006. "Import Protection as Export Destruction," University of Western Ontario, Economic Policy Research Institute Working Papers 20062, University of Western Ontario, Economic Policy Research Institute.
    3. Dibyendu Maiti & Uday Bhanu Sinha, 2025. "ICT adoption, trade composition and welfare," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-25, February.
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    412. Ambos, Björn & Brandl, Kristin & Perri, Alessandra & Scalera, Vittoria G. & Van Assche, Ari, 2021. "The nature of innovation in global value chains," Journal of World Business, Elsevier, vol. 56(4).
    413. Sugata Marjit & Anwesha Basu & C. Veeramani, 2019. "Growth Gains from Trade," CESifo Working Paper Series 7905, CESifo.
    414. Hu, Cui & Parsley, David & Tan, Yong, 2017. "Exchange Rate Induced Export Quality Upgrading: A Firm-Level Perspective," MPRA Paper 80506, University Library of Munich, Germany.
    415. Julian Emami Namini & Giovanni Facchini & Ricardo A. Lopez, 2011. "Export Growth and Factor Market Competition: Theory and Some Evidence," Tinbergen Institute Discussion Papers 11-013/2, Tinbergen Institute.
    416. Stefan KÜHN & Christian VIEGELAHN, 2019. "Foreign trade barriers and jobs in global supply chains," International Labour Review, International Labour Organization, vol. 158(1), pages 137-167, March.
    417. Bas, Maria & Causa, Orsetta, 2013. "Trade and product market policies in upstream sectors and productivity in downstream sectors: Firm-level evidence from China," Journal of Comparative Economics, Elsevier, vol. 41(3), pages 843-862.
    418. Bas, Maria & Strauss-Kahn, Vanessa, 2015. "Input-trade liberalization, export prices and quality upgrading," Journal of International Economics, Elsevier, vol. 95(2), pages 250-262.
    419. Bruno Merlevede & Angelos Theodorakopoulos, 2021. "Productivity effects of internationalisation through the domestic supply chain," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 808-832, September.
    420. Lucia Errico & Sandro Rondinella & Francesco Trivieri, 2025. "Financial Constraints and Firms’ Productivity: The Role of Participation in Global Value Chains," Open Economies Review, Springer, vol. 36(4), pages 1229-1253, September.
    421. Roger Bandick, 2020. "Global sourcing, productivity and export intensity," The World Economy, Wiley Blackwell, vol. 43(3), pages 615-643, March.
    422. Nishioka, Shuichiro & Ripoll, Marla, 2012. "Productivity, trade and the R&D content of intermediate inputs," European Economic Review, Elsevier, vol. 56(8), pages 1573-1592.
    423. Brancati, Emanuele & Brancati, Raffaele & Guarascio, Dario & Zanfei, Antonello, 2020. "In Times of Trouble: Innovative Drivers of External Competitiveness for Small Businesses during the Great Recession," GLO Discussion Paper Series 639, Global Labor Organization (GLO).
    424. Kao, Erin Hui-Chuan & Liu, Jin-Tan, 2022. "Extensive margins of trade and firm survival," Economics Letters, Elsevier, vol. 218(C).
    425. Bandick Roger & Karpaty Patrik & Tingvall Patrik, 2024. "Import, Productivity, and Export Performances," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-17.
    426. Yasmine Eissa & Chahir Zaki, 2023. "On GVC and innovation: the moderating role of policy," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(1), pages 49-71, March.
    427. Macedoni, Luca & Weinberger, Ariel, 2022. "Quality heterogeneity and misallocation: The welfare benefits of raising your standards," Journal of International Economics, Elsevier, vol. 134(C).
    428. Meng Cai & Riming Cui & Dan Li, 2025. "The role of imports in reducing emissions: evidence from Chinese listed companies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(1), pages 1121-1144, January.

  30. Kasahara, Hiroyuki, 2003. "Technology Adoption Under Relative Factor Price Uncertainty: The Putty-Clay Investment Model," Queen's Economics Department Working Papers 273441, Queen's University - Department of Economics.

    Cited by:

    1. Ramanarayanan, Ananth, 2017. "Imported inputs, irreversibility, and international trade dynamics," Journal of International Economics, Elsevier, vol. 104(C), pages 1-18.
    2. Michele Imbruno, 2019. "Importing under trade policy uncertainty: Evidence from China," Post-Print hal-02171715, HAL.
    3. Imbruno, Michele, 2019. "Importing under trade policy uncertainty: Evidence from China," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 806-826.

Articles

  1. Kasahara, Hiroyuki & Sawada, Yasuyuki & Suzuki, Michio, 2024. "The effect of bank recapitalization policy on credit allocation, investment, and productivity: Evidence from a banking crisis in Japan," Journal of Banking & Finance, Elsevier, vol. 158(C).
    See citations under working paper version above.
  2. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2022. "Identification Of Regression Models With A Misclassified And Endogenous Binary Regressor," Econometric Theory, Cambridge University Press, vol. 38(6), pages 1117-1139, December.
    See citations under working paper version above.
  3. Hoshi, Kisho & Kasahara, Hiroyuki & Makioka, Ryo & Suzuki, Michio & Tanaka, Satoshi, 2022. "The heterogeneous effects of COVID-19 on labor markets: People’s movement and non-pharmaceutical interventions," Journal of the Japanese and International Economies, Elsevier, vol. 63(C).
    See citations under working paper version above.
  4. Chernozhukov, Victor & Kasahara, Hiroyuki & Schrimpf, Paul, 2021. "Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S," Journal of Econometrics, Elsevier, vol. 220(1), pages 23-62.
    See citations under working paper version above.
  5. Kisho Hoshi & Hiroyuki Kasahara & Ryo Makioka & Michio Suzuki & Satoshi Tanaka, 2021. "Trade-off between job losses and the spread of COVID-19 in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 683-716, October.

    Cited by:

    1. Masayuki Morikawa, 2024. "Productivity dynamics of work from home: Firm-level evidence from Japan," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 465-487, April.
    2. Tomoo INOUE & Tatsuyoshi OKIMOTO, 2022. "Exploring the Dynamic Relationship between Mobility and the Spread of COVID-19, and the Role of Vaccines," Discussion papers 22011, Research Institute of Economy, Trade and Industry (RIETI).
    3. Satoshi Tanaka, 2022. "Economic Impacts of SARS/MERS/COVID‐19 in Asian Countries," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 41-61, January.
    4. Masayuki MORIKAWA, 2022. "Productivity Dynamics of Work from Home since the Onset of the COVID-19 Pandemic: Evidence from a panel of firm surveys," Discussion papers 22061, Research Institute of Economy, Trade and Industry (RIETI).
    5. Beppu, Shotaro & Fujii, Daisuke & Kubota, Hiroyuki & Machi, Kohei & Maeda, Yuta & Nakata, Taisuke & Shibuya, Haruki, 2023. "Cross-regional heterogeneity in health and economic outcomes during the COVID-19 pandemic: An analysis of Japan," Journal of the Japanese and International Economies, Elsevier, vol. 70(C).
    6. Hoshi, Kisho & Kasahara, Hiroyuki & Makioka, Ryo & Suzuki, Michio & Tanaka, Satoshi, 2022. "The heterogeneous effects of COVID-19 on labor markets: People’s movement and non-pharmaceutical interventions," Journal of the Japanese and International Economies, Elsevier, vol. 63(C).
    7. Shibamoto, Masahiko & Hayaki, Shoka & Ogisu, Yoshitaka, 2022. "COVID-19 infection spread and human mobility," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    8. Feiyu Hu & Jun Pan & Haijun Wang, 2024. "Unveiling the spatial and temporal variation of customer sentiment in hotel experiences: a case study of Beppu City, Japan," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    9. Michihito Ando & Masato Furuichi, 2022. "The association of COVID-19 employment shocks with suicide and safety net use: An early-stage investigation," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-26, March.

  6. Victor Chernozhukov & Hiroyuki Kasahara & Paul Schrimpf, 2021. "The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(42), pages 2103420118-, October.
    See citations under working paper version above.
  7. Kasahara, Hiroyuki & Li, Bingjing, 2020. "Grain exports and the causes of China's Great Famine, 1959–1961: County-level evidence," Journal of Development Economics, Elsevier, vol. 146(C).

    Cited by:

    1. Yu, Yantuan & Tang, Kai, 2023. "Does financial inclusion improve energy efficiency?," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    2. Roser Alvarez-Klee & Ramon Ramon-Muñoz, 2024. "Demographic crises during the Maoist period. A case study of the Great Flood of 1975 and the forgotten famine," Working Papers 0269, European Historical Economics Society (EHES).
    3. Ou, Susan & Xiong, Heyu, 2021. "Mass persuasion and the ideological origins of the Chinese Cultural Revolution," Journal of Development Economics, Elsevier, vol. 153(C).
    4. Hu, Zhi-An & Li, Jinghong & Nie, Zhuo, 2023. "Long Live friendship? The long-term impact of Soviet aid on Sino-Russian trade," Journal of Development Economics, Elsevier, vol. 164(C).
    5. Li, Xing & Liu, Zimin & Wu, Honglei & Yang, Dan, 2024. "Calculation and optimization of China's power distortion under carbon peaking target," Energy, Elsevier, vol. 306(C).

  8. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2019. "Asymptotic properties of the maximum likelihood estimator in regime switching econometric models," Journal of Econometrics, Elsevier, vol. 208(2), pages 442-467.
    See citations under working paper version above.
  9. Kasahara, Hiroyuki & Tang, Heiwai, 2019. "Excessive entry and exit in export markets," Journal of the Japanese and International Economies, Elsevier, vol. 53(C), pages 1-1.
    See citations under working paper version above.
  10. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Estimation of Discrete Choice Dynamic Programming Models," The Japanese Economic Review, Japanese Economic Association, vol. 69(1), pages 28-58, March.

    Cited by:

    1. Ecenur Oguz & Robert L. Bray, 2026. "Training Neural Networks Embedded in Dynamic Discrete Choice Models," Papers 2604.09736, arXiv.org.

  11. Kasahara, Hiroyuki & Liang, Yawen & Rodrigue, Joel, 2016. "Does importing intermediates increase the demand for skilled workers? Plant-level evidence from Indonesia," Journal of International Economics, Elsevier, vol. 102(C), pages 242-261.
    See citations under working paper version above.
  12. Hiroyuki Kasahara & Katsumi Shimotsu, 2015. "Testing the Number of Components in Normal Mixture Regression Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1632-1645, December.

    Cited by:

    1. Khorunzhina, Natalia & Richard, Jean-Francois, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," MPRA Paper 72326, University Library of Munich, Germany.
    2. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    3. Yu Hao & Hiroyuki Kasahara, 2025. "Estimating the Number of Components in Panel Data Finite Mixture Regression Models with an Application to Production Function Heterogeneity," Papers 2506.09666, arXiv.org.
    4. Fisher, Mark & Jensen, Mark J., 2022. "Bayesian nonparametric learning of how skill is distributed across the mutual fund industry," Journal of Econometrics, Elsevier, vol. 230(1), pages 131-153.
    5. Dante Amengual & Xinyue Bei & Marine Carrasco & Enrique Sentana, 2023. "Score-type tests for normal mixtures," CIRANO Working Papers 2023s-02, CIRANO.
    6. Budanova, Sofya, 2025. "Penalized estimation of finite mixture models," Journal of Econometrics, Elsevier, vol. 249(PB).
    7. Wong, Tony S.T. & Lam, Kwok Fai & Zhao, Victoria X., 2018. "Asymptotic null distribution of the modified likelihood ratio test for homogeneity in finite mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 248-257.
    8. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Testing the Number of Regimes in Markov Regime Switching Models," Papers 1801.06862, arXiv.org, revised Jan 2018.
    9. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Testing the Order of Multivariate Normal Mixture Models," Papers 1902.02920, arXiv.org.
    10. Ye, Mao & Lu, Zhao-Hua & Li, Yimei & Song, Xinyuan, 2019. "Finite mixture of varying coefficient model: Estimation and component selection," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 452-474.
    11. Wichitchan, Supawadee & Yao, Weixin & Yang, Guangren, 2019. "Hypothesis testing for finite mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 132(C), pages 180-189.
    12. Gabriel Rodriguez-Rondon & Jean-Marie Dufour, 2024. "MSTest: An R-Package for Testing Markov Switching Models," Papers 2411.08188, arXiv.org.
    13. Luísa Novais & Susana Faria, 2025. "Robust order selection of mixtures of regression models with random effects," Computational Statistics, Springer, vol. 40(6), pages 3205-3228, July.
    14. Yu Hao & Hiroyuki Kasahara, 2022. "Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data," Papers 2210.02824, arXiv.org, revised Jun 2023.
    15. Wang, Zhihao & Shi, Yanlin & Gao, Guangyuan, 2025. "Additive tree latent variable models with applications to insurance loss prediction," Insurance: Mathematics and Economics, Elsevier, vol. 125(C).
    16. Hou, Yanxi & Li, Jiahong & Gao, Guangyuan, 2025. "Insurance loss modeling with gradient tree-boosted mixture models," Insurance: Mathematics and Economics, Elsevier, vol. 121(C), pages 45-62.
    17. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    18. Alexander D. Stead & Phill Wheat & William H. Greene, 2023. "On hypothesis testing in latent class and finite mixture stochastic frontier models, with application to a contaminated normal-half normal model," Journal of Productivity Analysis, Springer, vol. 60(1), pages 37-48, August.
    19. Meitz, Mika & Saikkonen, Pentti, 2021. "Testing for observation-dependent regime switching in mixture autoregressive models," Journal of Econometrics, Elsevier, vol. 222(1), pages 601-624.
    20. Pan, Lanfeng & Li, Yehua & He, Kevin & Li, Yanming & Li, Yi, 2020. "Generalized linear mixed models with Gaussian mixture random effects: Inference and application," Journal of Multivariate Analysis, Elsevier, vol. 175(C).

  13. Hiroyuki Kasahara & Katsumi Shimotsu, 2014. "Non-parametric identification and estimation of the number of components in multivariate mixtures," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 97-111, January.
    See citations under working paper version above.
  14. Kasahara, Hiroyuki & Shimotsu, Katsumi & Suzuki, Michio, 2014. "Does an R&D tax credit affect R&D expenditure? The Japanese R&D tax credit reform in 2003," Journal of the Japanese and International Economies, Elsevier, vol. 31(C), pages 72-97.
    See citations under working paper version above.
  15. Hiroyuki Kasahara & Tatsuyoshi Okimoto & Katsumi Shimotsu, 2014. "Modified Quasi-Likelihood Ratio Test for Regime Switching," The Japanese Economic Review, Japanese Economic Association, vol. 65(1), pages 25-41, March.

    Cited by:

    1. Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    2. Al-Shboul, Mohammad & Anwar, Sajid, 2016. "Fractional integration in daily stock market indices at Jordan's Amman stock exchange," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 16-37.
    3. Gabriel Rodriguez-Rondon & Jean-Marie Dufour, 2024. "MSTest: An R-Package for Testing Markov Switching Models," Papers 2411.08188, arXiv.org.
    4. Jiang, George J. & Lo, Ingrid, 2014. "Private information flow and price discovery in the U.S. treasury market," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 118-133.

  16. Kasahara, Hiroyuki & Lapham, Beverly, 2013. "Productivity and the decision to import and export: Theory and evidence," Journal of International Economics, Elsevier, vol. 89(2), pages 297-316.
    See citations under working paper version above.
  17. Hiroyuki Kasahara & Katsumi Shimotsu, 2012. "Sequential Estimation of Structural Models With a Fixed Point Constraint," Econometrica, Econometric Society, vol. 80(5), pages 2303-2319, September.
    See citations under working paper version above.
  18. Kasahara, Hiroyuki, 2009. "Temporary Increases in Tariffs and Investment: The Chilean Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 113-127.

    Cited by:

    1. Chang-Tai Hsieh & Jonathan A. Parker, 2006. "Taxes and Growth in a Financially Underdeveloped Country: Evidence from the Chilean Investment Boom," NBER Working Papers 12104, National Bureau of Economic Research, Inc.
    2. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2021. "Sufficient statistics for unobserved heterogeneity in structural dynamic logit models," Journal of Econometrics, Elsevier, vol. 223(2), pages 280-311.
    3. Victor Aguirregabiria, 2007. "Another Look at the Identification of Dynamic Discrete Decision Processes: With an Application to Retirement Behavior," Working Papers tecipa-282, University of Toronto, Department of Economics.
    4. Victor Aguirregabiria, 2005. "Another Look at the Identification of Dynamic Discrete Decision Processes," Econometrics 0504006, University Library of Munich, Germany.
    5. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Estimation of Discrete Choice Dynamic Programming Models," The Japanese Economic Review, Springer, vol. 69(1), pages 28-58, March.
    6. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1445-1488, December.

  19. Hiroyuki Kasahara & Katsumi Shimotsu, 2009. "Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices," Econometrica, Econometric Society, vol. 77(1), pages 135-175, January.

    Cited by:

    1. Konstantin T. Matchev & Prasanth Shyamsundar, 2020. "InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification," Papers 2009.00131, arXiv.org.
    2. Hanming Fang & Yang Wang, 2015. "Estimating Dynamic Discrete Choice Models With Hyperbolic Discounting, With An Application To Mammography Decisions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 565-596, May.
    3. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    4. Victor Aguirregabiria & Arvind Magesan, 2012. "Identification and estimation of dynamic games when players' beliefs are not in equilibrium," Working Papers tecipa-449, University of Toronto, Department of Economics.
    5. Marc Henry & Koen Jochmans & Bernard Salanié, 2014. "Inference on Mixtures Under Tail Restrictions," Sciences Po Economics Publications (main) hal-01053810, HAL.
    6. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    7. Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2012. "Semiparametric estimation of random coefficients in structural economic models," CeMMAP working papers CWP09/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Khorunzhina, Natalia, 2011. "Dynamic Stock Market Participation of Households," MPRA Paper 35310, University Library of Munich, Germany.
    9. Bruneel-Zupanc, Christophe Alain, 2021. "Discrete-Continuous Dynamic Choice Models: Identification and Conditional Choice Probability Estimation," TSE Working Papers 21-1185, Toulouse School of Economics (TSE).
    10. Martin Browning & Jesus M. Carro, 2009. "Dynamic binary outcome models with maximal heterogeneity," Economics Series Working Papers 426, University of Oxford, Department of Economics.
    11. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    12. Hiroyuki Kasahara & Katsumi Shimotsu, 2008. "Sequential Estimation of Structural Models with a Fixed Point Constraint," CESifo Working Paper Series 2507, CESifo.
    13. Yu Hao & Hiroyuki Kasahara, 2025. "Estimating the Number of Components in Panel Data Finite Mixture Regression Models with an Application to Production Function Heterogeneity," Papers 2506.09666, arXiv.org.
    14. Young Ahn & Hiroyuki Kasahara, 2026. "Event-Study Designs for Discrete Outcomes under Transition Independence," Papers 2603.07914, arXiv.org.
    15. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2013. "Testing for Equilibrium Multiplicity in Dynamic Markov Games," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 423, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    16. Miao, Ke & Su, Liangjun & Wang, Wendun, 2020. "Panel threshold regressions with latent group structures," Journal of Econometrics, Elsevier, vol. 214(2), pages 451-481.
    17. Bonhomme, Stéphane & Jochmans, Koen & Robin, Jean-Marc, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," Journal of Econometrics, Elsevier, vol. 201(2), pages 237-248.
    18. Bunting, Jackson & Diegert, Paul & Maurel, Arnaud, 2025. "Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation," IZA Discussion Papers 17977, IZA Network @ LISER.
    19. Higgins, Ayden & Jochmans, Koen, 2021. "Identification Of Mixtures Of Dynamic Discrete Choices," TSE Working Papers 21-1272, Toulouse School of Economics (TSE), revised Jan 2023.
    20. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    21. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers CWP51/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. 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.
    23. Yuichi Kitamura & Louise Laage, 2018. "Nonparametric Analysis of Finite Mixtures," Papers 1811.02727, arXiv.org.
    24. Saptorshee Kanto Chakraborty & Massimiliano Mazzanti, 2021. "Revisiting the literature on the dynamic Environmental Kuznets Curves using a latent structure approach," SEEDS Working Papers 0521, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2021.
    25. Zhongjian Lin & Zhentao Shi & Yapeng Zheng, 2026. "Social Interactions Models with Latent Structures," Papers 2602.06435, arXiv.org.
    26. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.
    27. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    28. Budanova, Sofya, 2025. "Penalized estimation of finite mixture models," Journal of Econometrics, Elsevier, vol. 249(PB).
    29. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Sep 2025.
    30. Bonhomme, Stéphane & Lamadon, Thibaut & Manresa, Elena, 2017. "Discretizing Unobserved Heterogeneity," Working Paper Series 2017:21, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    31. Yingyao Hu & Matthew Shum & Matthew Shum & Ruli Xiao, 2015. "A Simple Estimator for Dynamic Models with Serially Correlated Unobservables," CAEPR Working Papers 2015-017, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    32. Nibbering, D. & Paap, R., 2019. "Panel Forecasting with Asymmetric Grouping," Econometric Institute Research Papers EI-2019-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    33. Rasmus Lentz & Jean Marc Robin & Suphanit Piyapromdee, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," 2018 Meeting Papers 469, Society for Economic Dynamics.
    34. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    35. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza‐Rodrigues, 2021. "Identification of counterfactuals in dynamic discrete choice models," Quantitative Economics, Econometric Society, vol. 12(2), pages 351-403, May.
    36. Hu, Yingyao, 2017. "The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics," Journal of Econometrics, Elsevier, vol. 200(2), pages 154-168.
    37. Fabio A. Miessi Sanches & Daniel Junior Silva & Sorawoot Srisuma, 2016. "Ordinary Least Squares Estimation Of A Dynamic Game Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 623-634, May.
    38. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," Working Papers tecipa-706, University of Toronto, Department of Economics.
    39. Hu, Yingyao & Shum, Matthew, 2012. "Nonparametric identification of dynamic models with unobserved state variables," Journal of Econometrics, Elsevier, vol. 171(1), pages 32-44.
    40. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2016. "Non-parametric estimation of finite mixtures from repeated measurements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 211-229, January.
    41. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2017. "Dynamic Random Utility," Cowles Foundation Discussion Papers 2092R, Cowles Foundation for Research in Economics, Yale University, revised Nov 2018.
    42. John Gardner, 2020. "Intergenerational altruism in the migration decision calculus: evidence from the African American Great Migration," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 115-154, January.
    43. Hasraddin Guliyev, 2025. "Using Machine Learning Techniques to Test the Load Capacity Curve Hypothesis: A Classifier-Lasso Application on Global Panel Data," Biophysical Economics and Resource Quality, Springer, vol. 10(1), pages 1-18, June.
    44. Steven T. Berry & Giovanni Compiani, 2020. "An Instrumental Variable Approach to Dynamic Models," NBER Working Papers 27756, National Bureau of Economic Research, Inc.
    45. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Nonparametric spectral-based estimation of latent structures," CeMMAP working papers CWP18/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Hema Yoganarasimhan, 2016. "Estimation of Beauty Contest Auctions," Marketing Science, INFORMS, vol. 35(1), pages 27-54, January.
    47. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2016. "Estimating Multivariate Latent-Structure Models," Sciences Po Economics Publications (main) hal-03392022, HAL.
    48. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2013. "Nonparametric estimation of finite mixtures," Working Papers hal-00972868, HAL.
    49. Takeshi Fukasawa, 2024. "Fast and simple inner-loop algorithms of static / dynamic BLP estimations," Papers 2404.04494, arXiv.org, revised Apr 2025.
    50. Qihui Chen & Zheng Fang, 2018. "Improved Inference on the Rank of a Matrix," Papers 1812.02337, arXiv.org, revised Mar 2019.
    51. Taiga Tsubota, 2021. "Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting," Papers 2111.10721, arXiv.org, revised Oct 2024.
    52. Hajimoladarvish, Narges, 2021. "Explaining Heterogeneity in Risk Preferences Using a Finite Mixture Model," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(4), pages 533-554, December.
    53. Stéphane Bonhomme & Kevin Dano & Bryan S. Graham, 2023. "Identification in a binary choice panel data model with a predetermined covariate," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 14(3), pages 315-351, December.
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  20. Kasahara, Hiroyuki & Rodrigue, Joel, 2008. "Does the use of imported intermediates increase productivity? Plant-level evidence," Journal of Development Economics, Elsevier, vol. 87(1), pages 106-118, August.
    See citations under working paper version above.
  21. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2008. "Pseudo-likelihood estimation and bootstrap inference for structural discrete Markov decision models," Journal of Econometrics, Elsevier, vol. 146(1), pages 92-106, September.

    Cited by:

    1. Aguirregabiria, Victor & Nevo, Aviv, 2010. "Recent developments in empirical IO: dynamic demand and dynamic games," MPRA Paper 27814, University Library of Munich, Germany.
    2. Karun Adusumilli & Dita Eckardt, 2019. "Temporal-Difference estimation of dynamic discrete choice models," Papers 1912.09509, arXiv.org, revised Dec 2022.
    3. Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Working Papers tecipa-489, University of Toronto, Department of Economics.
    4. Vadim Marmer & Taisuke Otsu, 2009. "Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit," Cowles Foundation Discussion Papers 1724, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
    5. Federico A. Bugni & Jackson Bunting, 2018. "On the iterated estimation of dynamic discrete choice games," CeMMAP working papers CWP13/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Hiroyuki Kasahara & Katsumi Shimotsu, 2008. "Sequential Estimation of Structural Models with a Fixed Point Constraint," CESifo Working Paper Series 2507, CESifo.
    7. Adam Dearing & Jason R. Blevins, 2019. "Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games," Papers 1912.10488, arXiv.org, revised Apr 2024.
    8. Aguirregabiria, Victor & Magesan, Arvind, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural," MPRA Paper 46056, University Library of Munich, Germany.
    9. Murasawa, Yasutomo, 2023. "大学中退の逐次意思決定モデルの構造推定 [Structural estimation of a sequential decision model of college dropout]," MPRA Paper 118183, University Library of Munich, Germany.
    10. Srisuma, Sorawoot & Linton, Oliver, 2012. "Semiparametric estimation of Markov decision processes with continuous state space," Journal of Econometrics, Elsevier, vol. 166(2), pages 320-341.
    11. Aguirregabiria, Victor & Ho, Chun-Yu, 2009. "A Dynamic Oligopoly Game of the US Airline Industry: Estimation and Policy Experiments," MPRA Paper 16739, University Library of Munich, Germany.
    12. Song, Yichun, 2025. "A Frisch-Waugh-Lovell theorem for empirical likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 211(C).
    13. Komarova, Tatiana & Sanches, Fábio & Silva Junior, Daniel & Srisuma, Sorawoot, 2018. "Joint analysis of the discount factor and payoff parameters in dynamic discrete choice games," LSE Research Online Documents on Economics 86858, London School of Economics and Political Science, LSE Library.
    14. Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
    15. An, Yonghong & Hu, Yingyao & Xiao, Ruli, 2021. "Dynamic decisions under subjective expectations: A structural analysis," Journal of Econometrics, Elsevier, vol. 222(1), pages 645-675.
    16. Abhimanyu Gupta, 2020. "Efficient closed-form estimation of large spatial autoregressions," Papers 2008.12395, arXiv.org, revised May 2021.
    17. Aguirregabiria, Victor, 2009. "Estimation of Dynamic Discrete Games Using the Nested Pseudo Likelihood Algorithm: Code and Application," MPRA Paper 17329, University Library of Munich, Germany.
    18. Hidehiko Ichimura, 2018. "Announcement," The Japanese Economic Review, Springer, vol. 69(1), pages 26-27, March.
    19. Fabio A. Miessi Sanches & Daniel Silva Junior, Sorawoot Srisuma, 2014. "Ordinary Least Squares Estimation for a Dynamic Game," Working Papers, Department of Economics 2014_19, University of São Paulo (FEA-USP), revised 23 Feb 2015.
    20. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Estimation of Discrete Choice Dynamic Programming Models," The Japanese Economic Review, Springer, vol. 69(1), pages 28-58, March.
    21. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.

Chapters

  1. Hiroyuki Kasahara & Heiwai Tang, 2018. "Excessive Entry and Exit in Export Markets," NBER Chapters, in: Globalization and Welfare Impacts of International Trade, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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