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Tatsushi Oka

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2024. "Inflation Target at Risk: A Time-varying Parameter Distributional Regression," Papers 2403.12456, arXiv.org.

    Cited by:

    1. Ignacio Garr'on & C. Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2024. "International vulnerability of inflation," Papers 2410.20628, arXiv.org, revised Oct 2024.
    2. Garrón Vedia, Ignacio & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2024. "International vulnerability of inflation," DES - Working Papers. Statistics and Econometrics. WS 44814, Universidad Carlos III de Madrid. Departamento de Estadística.

  2. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2023. "Distributional Vector Autoregression: Eliciting Macro and Financial Dependence," Papers 2303.04994, arXiv.org.

    Cited by:

    1. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2024. "Inflation Target at Risk: A Time-varying Parameter Distributional Regression," Papers 2403.12456, arXiv.org.

  3. Difang Huang & Jiti Gao & Tatsushi Oka, 2022. "Semiparametric Single-Index Estimation for Average Treatment Effects," Papers 2206.08503, arXiv.org, revised Jan 2025.

    Cited by:

    1. Hui Liu & Jia Zhu & Huijie Cheng, 2024. "Enterprise digital transformation’s impact on stock liquidity: A corporate governance perspective," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-28, March.

  4. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2022. "Bivariate Distribution Regression with Application to Insurance Data," Papers 2203.12228, arXiv.org, revised Sep 2023.

    Cited by:

    1. Kobus, Martyna & Kapera, Marek & Maasoumi, Esfandiar, 2024. "Gap in many dimensions: Application to gender," Labour Economics, Elsevier, vol. 89(C).
    2. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2023. "Distributional Vector Autoregression: Eliciting Macro and Financial Dependence," Papers 2303.04994, arXiv.org.
    3. Holger Dette & Kathrin Mollenhoff & Dominik Wied, 2025. "Practically significant differences between conditional distribution functions," Papers 2506.06545, arXiv.org.
    4. Tatsushi Oka & Shota Yasui & Yuta Hayakawa & Undral Byambadalai, 2024. "Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials," Papers 2407.14074, arXiv.org, revised Jan 2025.

  5. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.

    Cited by:

    1. Undral Byambadalai & Tomu Hirata & Tatsushi Oka & Shota Yasui, 2025. "On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization," Papers 2506.05945, arXiv.org.

  6. Tatsushi Oka & Wei Wei & Dan Zhu, 2020. "A Spatial Stochastic SIR Model for Transmission Networks with Application to COVID-19 Epidemic in China," Papers 2008.06051, arXiv.org, revised Aug 2020.

    Cited by:

    1. Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).

  7. Tatsushi Oka & Ken Yamada, 2019. "Heterogeneous Impact of the Minimum Wage: Implications for Changes in Between- and Within-group Inequality," Papers 1903.03925, arXiv.org, revised Jul 2019.

    Cited by:

    1. Undral Byambadalai & Tomu Hirata & Tatsushi Oka & Shota Yasui, 2025. "On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization," Papers 2506.05945, arXiv.org.
    2. Hyunbae Chun & Jungmin Lee & Donghan Shin, 2024. "Does the Minimum Wage Affect Non-wage Workers?," Korean Economic Review, Korean Economic Association, vol. 40, pages 5-47.

  8. Dukpa Kim & Tatsushi Oka & Francisco Estrada & Pierre Perron, 2018. "Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures," Papers 1805.09937, arXiv.org.

    Cited by:

    1. C. Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2024. "Temperature in the Iberian Peninsula: Trend, seasonality, and heterogeneity," Papers 2406.14145, arXiv.org.
    2. Li Chen & Jiti Gao & Farshid Vahid, 2019. "Global temperatures and greenhouse gases - a common features approach," Working Papers 2019-07-15, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    3. Ar'anzazu de Juan & Pilar Poncela & Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2022. "Economic activity and climate change," Papers 2206.03187, arXiv.org, revised Jun 2022.
    4. Tatsushi Oka & Pierre Perron, 2016. "Testing for Common Breaks in a Multiple Equations System," Papers 1606.00092, arXiv.org, revised Jan 2018.
    5. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    6. Grant R. McDermott, 2021. "Skeptic priors and climate consensus," Climatic Change, Springer, vol. 166(1), pages 1-23, May.
    7. Carrion-i-Silvestre, Josep Lluís & Kim, Dukpa, 2021. "Statistical tests of a simple energy balance equation in a synthetic model of cotrending and cointegration," Journal of Econometrics, Elsevier, vol. 224(1), pages 22-38.
    8. Francisco Estrada & Luis Filipe Martins & Pierre Perron, 2017. "Characterizing and attributing the warming trend in sea and land surface temperatures," Boston University - Department of Economics - Working Papers Series WP2017-009, Boston University - Department of Economics.
    9. González-Rivera, Gloria & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2023. "Modelling intervals of minimum/maximum temperatures in the Iberian Peninsula," DES - Working Papers. Statistics and Econometrics. WS 37968, Universidad Carlos III de Madrid. Departamento de Estadística.

  9. David T. Frazier & Tatsushi Oka & Dan Zhu, 2017. "Indirect Inference with a Non-Smooth Criterion Function," Papers 1708.02365, arXiv.org, revised Jul 2019.

    Cited by:

    1. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2022. "Approximate maximum likelihood for complex structural models," Journal of Econometrics, Elsevier, vol. 231(2), pages 432-456.
    2. Worapree Maneesoonthorn & David T. Frazier & Gael M. Martin, 2024. "Probabilistic Predictions of Option Prices Using Multiple Sources of Data," Papers 2412.00658, arXiv.org.
    3. Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
    4. Frazier, David T. & Koo, Bonsoo, 2021. "Indirect inference for locally stationary models," Journal of Econometrics, Elsevier, vol. 223(1), pages 1-27.
    5. P Čížek & S Sadıkoğlu, 2022. "Misclassification-robust semiparametric estimation of single-index binary-choice models [Local NLLS estimation of semi-parametric binary choice models]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 433-454.
    6. David T. Frazier & Bonsoo Koo, 2020. "Indirect Inference for Locally Stationary Models," Monash Econometrics and Business Statistics Working Papers 30/20, Monash University, Department of Econometrics and Business Statistics.
    7. Jean-Jacques Forneron, 2019. "A Scrambled Method of Moments," Papers 1911.09128, arXiv.org.

  10. Tatsushi Oka & Pierre Perron, 2016. "Testing for Common Breaks in a Multiple Equations System," Papers 1606.00092, arXiv.org, revised Jan 2018.

    Cited by:

    1. Mugrabi, Farah Daniela, 2023. "Detecting and dating possibly distinct structural breaks in the covariance structure of financial assets," LIDAM Discussion Papers LFIN 2023001, Université catholique de Louvain, Louvain Finance (LFIN).
    2. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    3. Eo, Yunjong & Morley, James, 2011. "Likelihood-Ratio-Based Confidence Sets for the Timing of Structural Breaks," Working Papers 2011-07, University of Sydney, School of Economics, revised Feb 2014.
    4. Ye Li & Pierre Perron, 2013. "Inference Related to Locally Ordered and Common Breaks in a Multivariate System with Joined Segmented Trends," Boston University - Department of Economics - Working Papers Series 2013-010, Boston University - Department of Economics.
    5. Bergamelli, Michele & Bianchi, Annamaria & Khalaf, Lynda & Urga, Giovanni, 2019. "Combining p-values to test for multiple structural breaks in cointegrated regressions," Journal of Econometrics, Elsevier, vol. 211(2), pages 461-482.
    6. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    7. Dukpa Kim & Tatsushi Oka & Francisco Estrada & Pierre Perron, 2017. "Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures," Boston University - Department of Economics - Working Papers Series WP2018-015, Boston University - Department of Economics, revised Apr 2018.
    8. Karsten Schweikert, 2022. "Detecting Multiple Structural Breaks in Systems of Linear Regression Equations with Integrated and Stationary Regressors," Papers 2201.05430, arXiv.org, revised Sep 2024.
    9. Richard S. J. Tol & Francisco Estrada & Carlos Gay-García, 2012. "The persistence of shocks in GDP and the estimation of the potential economic costs of climate change," Working Paper Series 4312, Department of Economics, University of Sussex Business School.
    10. Jiang, Peiyun & Kurozumi, Eiji, 2021. "A new test for common breaks in heterogeneous panel data models," Discussion paper series HIAS-E-107, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    11. Perron, Pierre & Yamamoto, Yohei, 2014. "A Note On Estimating And Testing For Multiple Structural Changes In Models With Endogenous Regressors Via 2sls," Econometric Theory, Cambridge University Press, vol. 30(2), pages 491-507, April.
    12. Pierre L. Siklos, 2020. "Looking into the Rear-View Mirror: Lessons from Japan for the Eurozone and the U.S?," IMES Discussion Paper Series 20-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Alexander Berglund & Massimo Guidolin & Manuela Pedio, 2020. "Monetary policy after the crisis: A threat to hedge funds' alphas?," Journal of Asset Management, Palgrave Macmillan, vol. 21(3), pages 219-238, May.
    14. Josep Lluís Carrion‐i‐Silvestre & María Dolores Gadea, 2023. "Testing for multiple level shifts with an integrated or stationary noise component," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 801-819, September.
    15. Ye Li & Pierre Perron, 2012. "Inference on Locally Ordered Breaks in Multiple Regressions," Boston University - Department of Economics - Working Papers Series wp2015-013, Boston University - Department of Economics, revised 02 Feb 2015.
    16. Karsten Schweikert, 2020. "Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions," Papers 2001.07949, arXiv.org, revised Apr 2021.
    17. Karsten Schweikert, 2022. "Oracle Efficient Estimation of Structural Breaks in Cointegrating Regressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 83-104, January.
    18. Manner, Hans & Blatt, Dominik & Candelon, Bertrand, 2014. "Detecting financial contagion in a multivariate system," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100411, Verein für Socialpolitik / German Economic Association.
    19. Blatt, Dominik & Candelon, Bertrand & Manner, Hans, 2015. "Detecting contagion in a multivariate time series system: An application to sovereign bond markets in Europe," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 1-13.

  11. Heejoon Han & Oliver Linton & Tatsushi Oka & Yoon-Jae Whang, 2014. "The cross-quantilogram: measuring quantile dependence and testing directional predictability between time series," CeMMAP working papers 06/14, Institute for Fiscal Studies.

    Cited by:

    1. Shahzad, Syed Jawad Hussain & Naifar, Nader & Hammoudeh, Shawkat & Roubaud, David, 2017. "Directional predictability from oil market uncertainty to sovereign credit spreads of oil-exporting countries: Evidence from rolling windows and crossquantilogram analysis," Energy Economics, Elsevier, vol. 68(C), pages 327-339.
    2. Avik Sinha & Arshian Sharif & Arnab Adhikari & Ankit Sharma, 2022. "Dependence structure between Indian financial market and energy commodities: a cross-quantilogram based evidence," Annals of Operations Research, Springer, vol. 313(1), pages 257-287, June.
    3. Lee, L. & Linton, O. & Whang, Y-J., 0000. "Quantilograms under Strong Dependence," Cambridge Working Papers in Economics 1936, Faculty of Economics, University of Cambridge.
    4. Syed Jawad Hussain Shahzad & Thi Hong Van Hoang & Jose Arreola-Hernandez, 2019. "Risk spillovers between large banks and the financial sector: Asymmetric evidence from Europe," Post-Print hal-02129104, HAL.
    5. Kuang, Wei, 2023. "The equity-oil hedge: A comparison between volatility and alternative risk frameworks," Energy, Elsevier, vol. 271(C).
    6. Guo, Dong & Zhou, Peng, 2021. "Green Bonds as Hedging Assets before and after COVID: A Comparative Study between the US and China," Cardiff Economics Working Papers E2021/28, Cardiff University, Cardiff Business School, Economics Section.
    7. Bouri, Elie & Shahzad, Syed Jawad Hussain & Raza, Naveed & Roubaud, David, 2018. "Oil volatility and sovereign risk of BRICS," Energy Economics, Elsevier, vol. 70(C), pages 258-269.
    8. Urom, Christian & Mzoughi, Hela & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "Directional predictability and time-frequency spillovers among clean energy sectors and oil price uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 326-341.
    9. Huthaifa Alqaralleh, 2024. "The sovereign Credit Default Swap Spreads and Chinese Sectors Stock Market: A Causality in Quantile and Dependence Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(4), pages 845-866, December.
    10. Uddin, Gazi Salah & Yahya, Muhammad & Goswami, Gour Gobinda & Lucey, Brian & Ahmed, Ali, 2022. "Stock market contagion during the COVID-19 pandemic in emerging economies," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 302-309.
    11. Lei, Heng & Xue, Minggao & Liu, Huiling & Ye, Jing, 2023. "Precious metal as a safe haven for global ESG stocks: Portfolio implications for socially responsible investing," Resources Policy, Elsevier, vol. 80(C).
    12. Konstantina Vartholomatou & Konstantina Pendaraki & Athanasios Tsagkanos, 2022. "Corporate bonds, exchange rates and memorandum: Evidence from Greece and Ireland," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3484-3489, July.
    13. Zhu, Huiming & Huang, Xi & Ye, Fangyu & Li, Shuang, 2024. "Frequency spillover effects and cross-quantile dependence between crude oil and stock markets: Evidence from BRICS and G7 countries," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    14. Mohammad Enamul Hoque & M. Kabir Hassan & Luca Pezzo, 2024. "Managing risk and reaping rewards: Climate‐change futures as a game‐changer for energy futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(8), pages 1338-1356, August.
    15. Alin Marius Andries & Steven Ongena & Nicu Sprincean & Radu Tunaru, 2020. "Risk Spillovers and Interconnectedness between Systemically Important Institutions," Swiss Finance Institute Research Paper Series 20-40, Swiss Finance Institute.
    16. Iulia Lupu & Radu Lupu & Adina Criste, 2023. "The Nexus between Green Bonds and European Banks: A Cross-Quantilogram Approach," Energies, MDPI, vol. 16(24), pages 1-19, December.
    17. Joaqui-Barandica, Orlando & Oviedo-Gómez, Andres & Manotas-Duque, Diego F., 2023. "Directional predictability between interest rates and the Stoxx 600 Banks index: A quantile approach," Finance Research Letters, Elsevier, vol. 58(PA).
    18. Zeng, Hongjun & Abedin, Mohammad Zoynul & Wu, Ran & Ahmed, Abdullahi D., 2024. "Asymmetric dependency among US national financial conditions and clean energy markets," Global Finance Journal, Elsevier, vol. 63(C).
    19. Shen, Yifan, 2018. "International risk transmission of stock market movements," Economic Modelling, Elsevier, vol. 69(C), pages 220-236.
    20. Sinha, Avik & Ghosh, Vinit & Hussain, Nazim & Nguyen, Duc Khuong & Das, Narasingha, 2023. "Green financing of renewable energy generation: Capturing the role of exogenous moderation for ensuring sustainable development," Energy Economics, Elsevier, vol. 126(C).
    21. Klochkov, Yegor & Härdle, Wolfgang Karl & Xu, Xiu, 2019. "Localizing Multivariate CAViaR," IRTG 1792 Discussion Papers 2019-007, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    22. Pham, Linh, 2021. "Frequency connectedness and cross-quantile dependence between green bond and green equity markets," Energy Economics, Elsevier, vol. 98(C).
    23. Bouri, Elie & Kachacha, Imad & Roubaud, David, 2020. "Oil market conditions and sovereign risk in MENA oil exporters and importers," Energy Policy, Elsevier, vol. 137(C).
    24. Islam, Md. Monirul & Shahbaz, Muhammad & Samargandi, Nahla, 2024. "The nexus between Russian uranium exports and US nuclear-energy consumption: Do the spillover effects of geopolitical risks matter?," Energy, Elsevier, vol. 293(C).
    25. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019. "Return spillovers around the globe: A network approach," Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
    26. Sohag, Kazi & Sokolova, Yulia & Vilamová, Šárka & Blueschke, Dmitri, 2023. "Volatility transmission from critical minerals prices to green investments," Resources Policy, Elsevier, vol. 82(C).
    27. Stefan Birr & Stanislav Volgushev & Tobias Kley & Holger Dette & Marc Hallin, 2015. "Quantile Spectral Analysis for Locally Stationary Time Series," Working Papers ECARES ECARES 2015-27, ULB -- Universite Libre de Bruxelles.
    28. valdivia coria, joab dan, 2025. "Efectos no lineales del cambio climático y restricción de divisas en la inflación de alimentos [Non-linear effects of climate change and foreign exchange constraints on food inflation]," MPRA Paper 124883, University Library of Munich, Germany.
    29. Bouri, Elie & Lien, Donald & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018. "Directional predictability of implied volatility: From crude oil to developed and emerging stock markets," Finance Research Letters, Elsevier, vol. 27(C), pages 65-79.
    30. Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Bekiros, Stelios & Rehman, Mobeen Ur, 2018. "Risk transmitters and receivers in global currency markets," Finance Research Letters, Elsevier, vol. 25(C), pages 1-9.
    31. Muhammad Ali Faisal & Murat Donduran, 2025. "A Two-Stage Analysis of Interaction Between Stock and Exchange Rate Markets: Evidence from Turkey," Annals of Data Science, Springer, vol. 12(1), pages 171-198, February.
    32. Aktham Maghyereh & Salem Adel Ziadat, 2024. "Pattern and determinants of tail-risk transmission between cryptocurrency markets: new evidence from recent crisis episodes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-34, December.
    33. Bampinas, Georgios & Panagiotidis, Theodore, 2023. "How would the war and the pandemic affect the stock and cryptocurrency cross-market linkages?," MPRA Paper 117094, University Library of Munich, Germany.
    34. Wen, Danyan & Wang, Gang-Jin & Ma, Chaoqun & Wang, Yudong, 2019. "Risk spillovers between oil and stock markets: A VAR for VaR analysis," Energy Economics, Elsevier, vol. 80(C), pages 524-535.
    35. Chang, Hao-Wen & Chang, Tsangyao & Wang, Mei-Chih, 2024. "Revisit the impact of exchange rate on stock market returns during the pandemic period," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    36. Bouri, Elie & Hussain Shahzad, Syed Jawad & Roubaud, David, 2020. "Cryptocurrencies as hedges and safe-havens for US equity sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 294-307.
    37. Aviral Kumar Tiwari & Muhammad Shahbaz & Rabeh Khalfaoui & Rizwan Ahmed & Shawkat Hammoudeh, 2024. "Directional predictability from energy markets to exchange rates and stock markets in the emerging market countries (E7 + 1): New evidence from cross‐quantilogram approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 719-789, January.
    38. Kartal, Mustafa Tevfik & Pata, Ugur Korkut & Alola, Andrew Adewale, 2024. "Energy security risk and financial development nexus: Disaggregated level evidence from South Korea by cross-quantilogram approach," Applied Energy, Elsevier, vol. 363(C).
    39. Wang, Yu & Cheung, Adrian (Wai Kong) & Yan, Wanlin & Wang, Bin, 2024. "Green bond and green stock in China: The role of economic and climate policy uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    40. Oğuzhan Çepni & Rangan Gupta & Mark E. Wohar, 2020. "The role of real estate uncertainty in predicting US home sales growth: evidence from a quantiles-based Bayesian model averaging approach," Applied Economics, Taylor & Francis Journals, vol. 52(5), pages 528-536, January.
    41. Dai, Zhifeng & Zhu, Junxin & Zhang, Xinhua, 2022. "Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment," Energy Economics, Elsevier, vol. 114(C).
    42. Adewuyi, Adeolu O. & Awodumi, Olabanji B. & Abodunde, Temitope T., 2019. "Analysing the gold-stock nexus using VARMA-BEKK-AGARCH and Quantile regression models: New evidence from South Africa and Nigeria," Resources Policy, Elsevier, vol. 61(C), pages 348-362.
    43. Georgios Bampinas & Panagiotis Konstantinou & Theodore Panagiotidis, 2021. "Reassessing the inflation uncertainty‐inflation relationship in the tails," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 508-534, October.
    44. Wang, Mei-Chih & Chang, Hao-Wen & Chang, Tsangyao, 2025. "Impact of COVID-19 on Taiwanese stock market," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    45. Narayan, Shivani & Kumar, Dilip, 2024. "Unveiling interconnectedness and risk spillover among cryptocurrencies and other asset classes," Global Finance Journal, Elsevier, vol. 62(C).
    46. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2022. "Quantile connectedness between sentiment and financial markets: Evidence from the S&P 500 twitter sentiment index," International Review of Financial Analysis, Elsevier, vol. 83(C).
    47. Kumar, Satish & Khalfaoui, Rabeh & Tiwari, Aviral Kumar, 2021. "Does geopolitical risk improve the directional predictability from oil to stock returns? Evidence from oil-exporting and oil-importing countries," Resources Policy, Elsevier, vol. 74(C).
    48. Nahla Samargandi & Kazi Sohag, 2022. "Oil Price Shocks to Foreign Assets and Liabilities in Saudi Arabia under Pegged Exchange Rate," Mathematics, MDPI, vol. 10(24), pages 1-15, December.
    49. Atil, Ahmed & Nawaz, Kishwar & Lahiani, Amine & Roubaud, David, 2020. "Are natural resources a blessing or a curse for financial development in Pakistan? The importance of oil prices, economic growth and economic globalization," Resources Policy, Elsevier, vol. 67(C).
    50. Bouri, Elie & Gupta, Rangan & Lau, Chi Keung Marco & Roubaud, David & Wang, Shixuan, 2018. "Bitcoin and global financial stress: A copula-based approach to dependence and causality in the quantiles," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 297-307.
    51. Rahman, Md Lutfur & Hedström, Axel & Uddin, Gazi Salah & Kang, Sang Hoon, 2021. "Quantile relationship between Islamic and non-Islamic equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    52. Zhu, Huiming & Zeng, Tian & Wang, Xinghui & Xia, Xiling, 2025. "Frequency domain cross-quantile coherency and connectedness network of exchange rates: Evidence from ASEAN+3 countries," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    53. Damek, Ewa & Mikosch, Thomas & Zhao, Yuwei & Zienkiewicz, Jacek, 2023. "Whittle estimation based on the extremal spectral density of a heavy-tailed random field," Stochastic Processes and their Applications, Elsevier, vol. 155(C), pages 232-267.
    54. Islam, Md. Saiful & Islam, Md. Monirul & Rehman, Anis Ur & Alam, Md. Fakhre & Tarique, Md., 2024. "Mineral production amidst the economy of uncertainty: Response of metallic and non-metallic minerals to geopolitical turmoil in Saudi Arabia," Resources Policy, Elsevier, vol. 90(C).
    55. Bechir Raggad & Elie Bouri, 2023. "Quantile Dependence between Crude Oil Returns and Implied Volatility: Evidence from Parametric and Nonparametric Tests," Mathematics, MDPI, vol. 11(3), pages 1-23, January.
    56. Lee, Ji Hyung, 2016. "Predictive quantile regression with persistent covariates: IVX-QR approach," Journal of Econometrics, Elsevier, vol. 192(1), pages 105-118.
    57. Trabelsi, Nader, 2023. "Spillovers and predictability between Saudi Arabia and global financial Markets: Evidence from G20 countries," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    58. Ozkan, Oktay & Sunday Adebayo, Tomiwa & Usman, Ojonugwa, 2024. "Dynamic connectedness of clean energy markets, green markets, and sustainable markets: The role of climate policy uncertainty," Energy, Elsevier, vol. 303(C).
    59. Elsayed, Ahmed H. & Khalfaoui, Rabeh & Nasreen, Samia & Gabauer, David, 2024. "The impact of oil shocks on green, clean, and socially responsible markets," Energy Economics, Elsevier, vol. 136(C).
    60. Chishti, Muhammad Zubair & Xia, Xiqiang & Dogan, Eyup, 2024. "Understanding the effects of artificial intelligence on energy transition: The moderating role of Paris Agreement," Energy Economics, Elsevier, vol. 131(C).
    61. Qi, Shaozhou & Pang, Lidong & Qi, Tianbai & Zhang, Xiaoling & Pirtea, Marilen Gabriel, 2024. "The correlation between the green bond market and carbon trading markets under climate change: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    62. Sullivan HUE & Yannick LUCOTTE & Sessi TOKPAVI, 2018. "Measuring network systemic risk contributions: A leave-one-out approach," LEO Working Papers / DR LEO 2708, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    63. Imran, Zulfiqar Ali & Ahad, Muhammad & Shahzad, Khurram & Ahmad, Mobeen & Hameed, Imran, 2024. "Safe haven properties of industrial stocks against ESG in the United States: Portfolio implication for sustainable investments," Energy Economics, Elsevier, vol. 136(C).
    64. Hau, Liya & Yang, Xiaomei & Zhang, Yongmin, 2024. "Multiscale quantile dependence between China's green bond and green equity: Fresh evidence from higher-order moment perspective," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    65. Fernandez-Mejia, Julian, 2024. "Extremely stablecoins," Finance Research Letters, Elsevier, vol. 63(C).
    66. António Afonso & José Alves & Wojciech Grabowski & Sofia Monteiro, 2025. "Stock and Sovereign Returns Linkages: Time-Varying Causality and Extreme-Quantile Determinants," CESifo Working Paper Series 11667, CESifo.
    67. Daniel Danau, 2017. "Prudence and preference for flexibility gain," Economics Working Paper Archive (University of Rennes & University of Caen) 2017-05, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, revised Nov 2017.
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    Cited by:

    1. Christian Bauer & Sebastian Weber, 2016. "The Efficiency of Monetary Policy when Guiding Inflation Expectations," Research Papers in Economics 2016-14, University of Trier, Department of Economics.
    2. Casini, Alessandro & Perron, Pierre, 2022. "Generalized Laplace Inference In Multiple Change-Points Models," Econometric Theory, Cambridge University Press, vol. 38(1), pages 35-65, February.
    3. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    4. Tang, Yanlin & Song, Xinyuan & Zhu, Zhongyi, 2015. "Threshold effect test in censored quantile regression," Statistics & Probability Letters, Elsevier, vol. 105(C), pages 149-156.
    5. Li, Zheng & Zeng, Jingjing & Hensher, David A., 2023. "An efficient approach to structural breaks and the case of automobile gasoline consumption in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    6. Zhongjun Qu & Jungmo Yoon, 2011. "Nonparametric Estimation and Inference on Conditional Quantile Processes," Boston University - Department of Economics - Working Papers Series WP2011-059, Boston University - Department of Economics.
    7. Mayer, Alexander & Wied, Dominik & Troster, Victor, 2025. "Quantile Granger causality in the presence of instability," Journal of Econometrics, Elsevier, vol. 249(PB).
    8. Feiyu Jiang & Zifeng Zhao & Xiaofeng Shao, 2022. "Jiang, Zhao and Shao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1849-1854, October.
    9. Yunmi Kim & Lijuan Huo & Tae-Hwan Kim, 2020. "Dealing with Markov-Switching Parameters in Quantile Regression Models," Working papers 2020rwp-166, Yonsei University, Yonsei Economics Research Institute.
    10. Weichi Wu & Zhou Zhou, 2017. "Nonparametric Inference for Time-Varying Coefficient Quantile Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 98-109, January.
    11. Yu, Ping, 2015. "Adaptive estimation of the threshold point in threshold regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 83-100.
    12. Tatsushi Oka & Pierre Perron, 2016. "Testing for Common Breaks in a Multiple Equations System," Papers 1606.00092, arXiv.org, revised Jan 2018.
    13. Marilena Furno, 2021. "Cointegration tests at the quantiles," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1087-1100, January.
    14. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    15. Russo, Emanuele & Foster-McGregor, Neil & Verspagen, Bart, 2019. "Characterizing growth instability: new evidence on unit roots and structural breaks in long run time series," MERIT Working Papers 2019-026, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    16. Rangan Gupta & Charl Jooste & Omid Ranjbar, 2017. "South Africa’s inflation persistence: a quantile regression framework," Economic Change and Restructuring, Springer, vol. 50(4), pages 367-386, November.
    17. Liwen Zhang & Huixia Judy Wang & Zhongyi Zhu, 2017. "Composite change point estimation for bent line quantile regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(1), pages 145-168, February.
    18. Tolga Omay & Rangan Gupta & Giovanni Bonaccolto, 2017. "The US real GNP is trend-stationary after all," Applied Economics Letters, Taylor & Francis Journals, vol. 24(8), pages 510-514, May.
    19. Kuriyama Nina, 2016. "Testing cointegration in quantile regressions with an application to the term structure of interest rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 107-121, April.
    20. Gabriel Montes-Rojas & Zacharias Psaradakis & Martín Sola, 2024. "On Regime Separation in Markov-Switching Quantile Regressions," Department of Economics Working Papers 2024_05, Universidad Torcuato Di Tella.
    21. Ghysels, Eric & Liu, Hanwei, 2017. "Downside Risk in the Chinese Stock Market - Has it Fundamentally Changed?," CEPR Discussion Papers 12180, C.E.P.R. Discussion Papers.
    22. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    23. Yannick Hoga, 2024. "Persistence-Robust Break Detection in Predictive Quantile and CoVaR Regressions," Papers 2410.05861, arXiv.org.
    24. Tillmann, Peter & Wolters, Maik Hendrik, 2012. "The changing dynamics of US inflation persistence: A quantile regression approach," IMFS Working Paper Series 60, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    25. Zhongxin Ni & Xing Lu & Wenjun Xue, 2021. "Does the belt and road initiative resolve the steel overcapacity in China? Evidence from a dynamic model averaging approach," Empirical Economics, Springer, vol. 61(1), pages 279-307, July.
    26. Feiyu Jiang & Zifeng Zhao & Xiaofeng Shao, 2022. "Modelling the COVID‐19 infection trajectory: A piecewise linear quantile trend model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1589-1607, November.
    27. Venkata Jandhyala & Stergios Fotopoulos & Ian MacNeill & Pengyu Liu, 2013. "Inference for single and multiple change-points in time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 423-446, July.
    28. Chuang Wan & Wei Zhong & Wenyang Zhang & Changliang Zou, 2023. "Multikink quantile regression for longitudinal data with application to progesterone data analysis," Biometrics, The International Biometric Society, vol. 79(2), pages 747-760, June.
    29. Fenghua Wen & Kaiyan Weng & Wei-Xing Zhou, 2020. "Measuring the contribution of Chinese financial institutions to systemic risk: an extended asymmetric CoVaR approach," Risk Management, Palgrave Macmillan, vol. 22(4), pages 310-337, December.
    30. Zhang, Yingying & Wang, Huixia Judy & Zhu, Zhongyi, 2019. "Quantile-regression-based clustering for panel data," Journal of Econometrics, Elsevier, vol. 213(1), pages 54-67.
    31. Marilena Furno, 2012. "Tests for structural break in quantile regressions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(4), pages 493-515, October.
    32. Zhanfeng Wang & Wenxin Liu & Yuanyuan Lin, 2015. "A change-point problem in relative error-based regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(4), pages 835-856, December.
    33. Yannick Hoga & Christian Schulz, 2025. "Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series," Papers 2502.10065, arXiv.org, revised Jun 2025.
    34. Wolters, Maik H., 2012. "Estimating monetary policy reaction functions using quantile regressions," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 342-361.
    35. Zhou, Mi & Wang, Huixia Judy & Tang, Yanlin, 2015. "Sequential change point detection in linear quantile regression models," Statistics & Probability Letters, Elsevier, vol. 100(C), pages 98-103.
    36. Uribe, Jorge M. & Chuliá, Helena & Guillén, Montserrat, 2017. "Uncertainty, systemic shocks and the global banking sector: Has the crisis modified their relationship?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 52-68.
    37. Sebastiano Manzan & Dawit Zerom, 2015. "Asymmetric Quantile Persistence and Predictability: the Case of US Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(2), pages 297-318, April.
    38. Alexander Aue & Rex C. Y. Cheung & Thomas C. M. Lee & Ming Zhong, 2014. "Segmented Model Selection in Quantile Regression Using the Minimum Description Length Principle," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1241-1256, September.
    39. Jean-Paul Chavas & Salvatore Falco, 2017. "Resilience, Weather and Dynamic Adjustments in Agroecosystems: The Case of Wheat Yield in England," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(2), pages 297-320, June.
    40. Sahbi FARHANI, 2012. "Tests of Parameters Instability: Theoretical Study and Empirical Analysis on Two Types of Models (ARMA Model and Market Model)," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 246-266.
    41. Rangan Gupta & Charl Jooste & Omid Ranjbar, 2015. "The Changing Dynamics of South Africa's Inflation Persistence: Evidence from a Quantile Regression Framework," Working Papers 201563, University of Pretoria, Department of Economics.
    42. Sangyeol Lee & Chang Kyeom Kim, 2024. "Test for conditional quantile change in general conditional heteroscedastic time series models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 76(2), pages 333-359, April.
    43. Emanuele Russo & Neil Foster-McGregor, 2022. "Characterizing growth instability: new evidence on unit roots and structural breaks in countries’ long run trajectories," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 713-756, April.
    44. Wen-Yi Chen & Tsangyao Chang & Yu-Hui Lin, 2018. "Investigating the Persistence of Suicide in the United States: Evidence from the Quantile Unit Root Test," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 813-833, January.
    45. Zeng, Zijian & Li, Meng, 2021. "Bayesian median autoregression for robust time series forecasting," International Journal of Forecasting, Elsevier, vol. 37(2), pages 1000-1010.
    46. Chiou, Yan-Yu & Chen, Mei-Yuan & Chen, Jau-er, 2018. "Nonparametric regression with multiple thresholds: Estimation and inference," Journal of Econometrics, Elsevier, vol. 206(2), pages 472-514.
    47. Ji, Qiang & Zhang, Dayong & Zhao, Yuqian, 2020. "Searching for safe-haven assets during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 71(C).
    48. Chiang, Harold D. & Sasaki, Yuya, 2019. "Causal inference by quantile regression kink designs," Journal of Econometrics, Elsevier, vol. 210(2), pages 405-433.
    49. Yan-Yu Chiou & Mei-Yuan Chen & Jau-er Chen, 2017. "Nonparametric Regression with Multiple Thresholds: Estimation and Inference," Papers 1705.09418, arXiv.org, revised Feb 2018.

  13. Tatsushi Oka, 2004. "Juvenile Crime and Punishment: Evidence from Japan," Discussion Papers in Economics and Business 04-16, Osaka University, Graduate School of Economics.

    Cited by:

    1. Michihito Ando & Hiroaki Mori & Shintaro Yamaguchi, 2022. "Universal Early Childhood Education and Adolescent Risky Behavior," RFBerlin Discussion Paper Series 2218, Rockwool Foundation Berlin (RF Berlin).
    2. Marcelo Castro & Cesar Tirso, 2023. "The impacts of the age of majority on the exposure to violent crimes," Empirical Economics, Springer, vol. 64(2), pages 983-1023, February.
    3. Ando, Michihito & Mori, Hiroaki & Yamaguchi, Shintaro, 2022. "Universal Early Childhood Education and Adolescent Risky Behavior," IZA Discussion Papers 15531, Institute of Labor Economics (IZA).
    4. Ignacio Munyo, 2015. "The Juvenile Crime Dilemma," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(2), pages 201-211, April.
    5. Cristiano M. Costa & Luciana D. Costa & Renata C. Gomes, 2015. "Family member incarceration and delinquent behaviour in the classroom: evidence from Brazil," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 411-415, March.
    6. Ando, Michihito & Mori, Hiroaki & Yamaguchi, Shintaro, 2022. "Universal early childhood education and adolescent risky behavior," SocArXiv rnkgs, Center for Open Science.

Articles

  1. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon–Jae Whang, 2025. "Quantile random-coefficient regression with interactive fixed effects: Heterogeneous group-level policy evaluation," Econometric Reviews, Taylor & Francis Journals, vol. 44(5), pages 630-648, May.
    See citations under working paper version above.
  2. Tatsushi Oka & Ken Yamada, 2023. "Heterogeneous Impact of the Minimum Wage: Implications for Changes in Between- and Within-Group Inequality," Journal of Human Resources, University of Wisconsin Press, vol. 58(1), pages 335-362.
    See citations under working paper version above.
  3. Wang, Yunyun & Oka, Tatsushi & Zhu, Dan, 2023. "Bivariate distribution regression with application to insurance data," Insurance: Mathematics and Economics, Elsevier, vol. 113(C), pages 215-232.
    See citations under working paper version above.
  4. Kim, Dukpa & Oka, Tatsushi & Estrada, Francisco & Perron, Pierre, 2020. "Inference related to common breaks in a multivariate system with joined segmented trends with applications to global and hemispheric temperatures," Journal of Econometrics, Elsevier, vol. 214(1), pages 130-152.
    See citations under working paper version above.
  5. Frazier, David T. & Oka, Tatsushi & Zhu, Dan, 2019. "Indirect inference with a non-smooth criterion function," Journal of Econometrics, Elsevier, vol. 212(2), pages 623-645.
    See citations under working paper version above.
  6. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.

    Cited by:

    1. Undral Byambadalai & Tomu Hirata & Tatsushi Oka & Shota Yasui, 2025. "On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization," Papers 2506.05945, arXiv.org.
    2. Undral Byambadalai & Tatsushi Oka & Shota Yasui, 2024. "Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction," Papers 2407.16037, arXiv.org.
    3. Brantly Callaway & Tong Li, 2019. "Quantile treatment effects in difference in differences models with panel data," Quantitative Economics, Econometric Society, vol. 10(4), pages 1579-1618, November.
    4. Jiafeng Gu, 2024. "The Impact of Regional Patent Policies on University Technology Transfer: Empirical Evidence from China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 18770-18796, December.
    5. Saibal Ghosh, 2020. "Bank Lending and Monetary Transmission: Does Politics Matter?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(2), pages 359-381, June.
    6. Brantly Callaway & Tong Li & Joel Rodrigue & Yuya Sasaki & Yong Tan, 2024. "Regulation, Emissions and Productivity: Evidence from China’s Eleventh Five-Year Plan," Staff Working Papers 24-7, Bank of Canada.
    7. Jiafeng Gu, 2021. "Effects of Patent Policy on Outputs and Commercialization of Academic Patents in China: A Spatial Difference-in-Differences Analysis," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    8. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods and an Application on the Minimum Wage and Employment," DETU Working Papers 1804, Department of Economics, Temple University.
    9. Brantly Callaway & Pedro H. C. Sant'Anna, 2018. "Difference-in-Differences with Multiple Time Periods," Papers 1803.09015, arXiv.org, revised Dec 2020.
    10. Soichiro Yamauchi, 2020. "Difference-in-Differences for Ordinal Outcomes: Application to the Effect of Mass Shootings on Attitudes toward Gun Control," Papers 2009.13404, arXiv.org.
    11. Peng, Ying & Tian, Chuanhao & Wen, Haizhen, 2021. "How does school district adjustment affect housing prices: An empirical investigation from Hangzhou, China," China Economic Review, Elsevier, vol. 69(C).
    12. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    13. Jessica Ya Sun, 2020. "Welfare consequences of access to health insurance for rural households: Evidence from the New Cooperative Medical Scheme in China," Health Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 337-352, March.
    14. Afrouz Azadikhah Jahromi & Brantly Callaway, 2019. "Heterogeneous Effects of Job Displacement on Earnings," DETU Working Papers 1901, Department of Economics, Temple University.
    15. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    16. Yihong Xu & Li Zheng, 2025. "Quantile Treatment Effects in High Dimensional Panel Data," Papers 2504.00785, arXiv.org, revised Jun 2025.
    17. Li, Xiaofeng & Lin, Lihua, 2024. "Identification of quantile treatment effects in difference-in-differences settings with staggered adoption," Economics Letters, Elsevier, vol. 241(C).
    18. Clarke, Damian & Llorca-Jaña, Manuel & Pailañir, Daniel, 2021. "The Use of Quantile Methods in Economic History," IZA Discussion Papers 14659, Institute of Labor Economics (IZA).
    19. Gonçalves, S. & Rodrigues, T.P. & Chagas, A.L.S., 2020. "The impact of wind power on the Brazilian labor market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    20. David Bounie & Youssouf Camara, 2020. "Card-Sales Response to Merchant Contactless Payment Acceptance," Post-Print hal-02296302, HAL.
    21. Bounie, David & Camara, Youssouf, 2020. "Card-sales response to merchant contactless payment acceptance," Journal of Banking & Finance, Elsevier, vol. 119(C).
    22. Wolfgang Frimmel & Bernhard Schmidpeter & Rene Wiesinger & Rudolf Winter-Ebmer, 2022. "Mandatory Wage Posting, Bargaining and the Gender Wage Gap," Economics working papers 2022-02, Department of Economics, Johannes Kepler University Linz, Austria.
    23. Finn McGuire & Peter C. Smith & Nicholas Stacey & Ijeoma Edoka & Noemi Kreif, 2025. "Do health care quality improvement policies work for all? Distributional effects by baseline quality in South Africa," Health Economics, John Wiley & Sons, Ltd., vol. 34(1), pages 175-199, January.
    24. Lyu, Chaofeng & Xie, Zhe & Li, Zhi, 2022. "Market supervision, innovation offsets and energy efficiency: Evidence from environmental pollution liability insurance in China," Energy Policy, Elsevier, vol. 171(C).
    25. Carolina Caetano & Brantly Callaway & Stroud Payne & Hugo Sant'Anna Rodrigues, 2022. "Difference in Differences with Time-Varying Covariates," Papers 2202.02903, arXiv.org, revised Jun 2024.
    26. Zhang, Zhao & Zhang, Feipeng & Ma, Caoyuan, 2024. "Does carbon emission trading scheme inhibit corporate executives' pursuit of excess compensation? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 139(C).
    27. Brantly Callaway, 2022. "Difference-in-Differences for Policy Evaluation," Papers 2203.15646, arXiv.org.
    28. Eréndira León Bravo, 2022. "Three essays on education, wages, and the labour market in Mexico," Economics PhD Theses 0322, Department of Economics, University of Sussex Business School.
    29. William Prieto Bustos & Cristian Darío Castillo Robayo & Jacobo Campo Robledo & Juliana Molina Dominguez, 2024. "Impact of Venezuelan Migration on the Informal Workforce of Native Workers in Colombia," Economies, MDPI, vol. 12(2), pages 1-25, February.
    30. Pedro H. C. Sant'Anna, 2016. "Program Evaluation with Right-Censored Data," Papers 1604.02642, arXiv.org.
    31. Tatsushi Oka & Shota Yasui & Yuta Hayakawa & Undral Byambadalai, 2024. "Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials," Papers 2407.14074, arXiv.org, revised Jan 2025.
    32. Shao, Shuai & Xu, Le & Yang, Lili & Yu, Dianfan, 2024. "How do energy-saving policies improve environmental quality: Evidence from China’s Top 10,000 energy-consuming enterprises program," World Development, Elsevier, vol. 175(C).

  7. Oka, Tatsushi & Perron, Pierre, 2018. "Testing for common breaks in a multiple equations system," Journal of Econometrics, Elsevier, vol. 204(1), pages 66-85.
    See citations under working paper version above.
  8. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    See citations under working paper version above.
  9. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.

    Cited by:

    1. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    2. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    3. Shosei Sakaguchi, 2020. "Partial Identification and Inference in Duration Models with Endogenous Censoring," CeMMAP working papers CWP8/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Choi, Jin-young & Lee, Myoung-jae, 2019. "Twins are more different than commonly believed, but made less different by compensating behaviors," Economics & Human Biology, Elsevier, vol. 35(C), pages 18-31.
    5. Shosei Sakaguchi, 2021. "Partial Identification and Inference in Duration Models with Endogenous Censoring," Papers 2107.00928, arXiv.org.
    6. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
    7. Shosei Sakaguchi, 2024. "Partial identification and inference in duration models with endogenous censoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 308-326, March.

  10. Dukpa Kim & Tatsushi Oka, 2014. "Divorce Law Reforms And Divorce Rates In The Usa: An Interactive Fixed‐Effects Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 231-245, March.

    Cited by:

    1. Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
    3. Gagliardi, Luisa, 2019. "The impact of foreign technological innovation on domestic employment via the industry mix," Research Policy, Elsevier, vol. 48(6), pages 1523-1533.
    4. Shinya Fukui, 2020. "The effect of deregulation of the "Act concerning the Industry Restriction"," Discussion Papers 2002, Graduate School of Economics, Kobe University.
    5. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 13/22, Monash University, Department of Econometrics and Business Statistics.
    6. Yi‐Ting Chen, 2020. "A distributional synthetic control method for policy evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 505-525, August.
    7. Laurent Gobillon & Thierry Magnac, 2014. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Control," CESifo Working Paper Series 5077, CESifo.
    8. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    9. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    10. Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
    11. Hyungsik Roger Moon & Martin Weidner, 2015. "Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects," Econometrica, Econometric Society, vol. 83(4), pages 1543-1579, July.
    12. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation," Papers 2208.03632, arXiv.org, revised Nov 2024.
    13. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    14. Xiang, Jingjie & Li, Li, 2022. "Monetary policy uncertainty, debt financing cost and real economic activities: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 1025-1044.
    15. Matteo Picchio, 2021. "Microchip bags and waste sorting," Working Papers 449, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    16. Chernozhukov, Victor & Wüthrich, Kaspar & Zhu, Yinchu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," University of California at San Diego, Economics Working Paper Series qt90m9d66s, Department of Economics, UC San Diego.
    17. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    18. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    19. Xu Lin & Lizi Wu, 2021. "Interdependence among mental health care providers: evidence from a spatial dynamic panel data model with interactive fixed effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 131-165, August.
    20. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    21. Abraham Chigavazira & Hayley Fisher & Tim Robinson & Anna Zhu, 2019. "The Consequences of Extending Equitable Property Division Divorce Laws to Cohabitants," Melbourne Institute Working Paper Series wp2019n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    22. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," CeMMAP working papers 28/24, Institute for Fiscal Studies.
    23. Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2018. "Debiasing and $t$-tests for synthetic control inference on average causal effects," Papers 1812.10820, arXiv.org, revised May 2025.
    24. Evan Totty, 2017. "The Effect Of Minimum Wages On Employment: A Factor Model Approach," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1712-1737, October.
    25. Feng, Qu, 2020. "Common factors and common breaks in panels: An empirical investigation," Economics Letters, Elsevier, vol. 187(C).
    26. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    27. Yacouba Kassouri, 2024. "The Rise of Transnational Financial Crimes and Tropical Deforestation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(10), pages 2795-2831, October.
    28. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    29. Mohitosh Kejriwal & Xiaoxiao Li & Linh Nguyen & Evan Totty, 2024. "The efficacy of ability proxies for estimating the returns to schooling: A factor model‐based evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 3-21, January.
    30. Edith Aguirre, 2019. "Do changes in divorce legislation have an impact on divorce rates? The case of unilateral divorce in Mexico," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-24, December.
    31. Robert F. Phillips & Benjamin D. Williams, 2024. "A Simple Interactive Fixed Effects Estimator for Short Panels," Papers 2410.12709, arXiv.org.
    32. Jushan Bai & Sung Hoon Choi & Yuan Liao, 2019. "Standard Errors for Panel Data Models with Unknown Clusters," Papers 1910.07406, arXiv.org, revised May 2020.
    33. Bai, Jushan & Liao, Yuan, 2017. "Inferences in panel data with interactive effects using large covariance matrices," Journal of Econometrics, Elsevier, vol. 200(1), pages 59-78.
    34. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    35. Boudt, Kris & Heyndels, Ewoud, 2024. "Robust interactive fixed effects," Econometrics and Statistics, Elsevier, vol. 29(C), pages 206-223.
    36. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Harouna Sedgo & Luc-Désiré Omgba, 2021. "Corruption and distortion of public expenditures: Evidence from Africa," EconomiX Working Papers 2021-7, University of Paris Nanterre, EconomiX.
    38. Shen, Danqing, 2018. "Marriage, Divorce and Sorting: A Reassessment of Unilateral Divorce Laws," MPRA Paper 92848, University Library of Munich, Germany.
    39. Iv'an Fern'andez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-Rank Approximations of Nonseparable Panel Models," Papers 2010.12439, arXiv.org, revised Mar 2021.

  11. Oka, Tatsushi & Qu, Zhongjun, 2011. "Estimating structural changes in regression quantiles," Journal of Econometrics, Elsevier, vol. 162(2), pages 248-267, June.
    See citations under working paper version above.
  12. Tatsushi Oka, 2009. "Juvenile crime and punishment: evidence from Japan," Applied Economics, Taylor & Francis Journals, vol. 41(24), pages 3103-3115.
    See citations under working paper version above.
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