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Tadao Hoshino

Personal Details

First Name:Tadao
Middle Name:
Last Name:Hoshino
Suffix:
RePEc Short-ID:pho609
https://sites.google.com/site/hsntdo/home

Affiliation

School of Political Science and Economics
Faculty of Political Science and Economics
Waseda University

Tokyo, Japan
http://www.waseda.jp/fpse/pse/
RePEc:edi:spwasjp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).
  2. Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.

Articles

  1. Tadao Hoshino, 2018. "Semiparametric Spatial Autoregressive Models With Endogenous Regressors: With an Application to Crime Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 160-172, January.
  2. Tadao Hoshino & Hayato Nakanishi, 2016. "Economic Valuation of Environmental Quality Using Property Auction Data: A Structural Estimation Approach," Land Economics, University of Wisconsin Press, vol. 92(4), pages 703-717.
  3. Su, Liangjun & Hoshino, Tadao, 2016. "Sieve instrumental variable quantile regression estimation of functional coefficient models," Journal of Econometrics, Elsevier, vol. 191(1), pages 231-254.
  4. Hidano, Noboru & Hoshino, Tadao & Sugiura, Ayako, 2015. "The effect of seismic hazard risk information on property prices: Evidence from a spatial regression discontinuity design," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 113-122.
  5. Tadao Hoshino, 2014. "Quantile regression estimation of partially linear additive models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 509-536, September.
  6. Tadao Hoshino, 2013. "Estimation of the preference heterogeneity within stated choice data using semiparametric varying-coefficient methods," Empirical Economics, Springer, vol. 45(3), pages 1129-1148, December.
  7. Hoshino, Tadao, 2013. "Partial identification in binary response models with nonignorable nonresponses," Economics Letters, Elsevier, vol. 121(1), pages 74-78.
  8. Tadao Hoshino & Koichi Kuriyama, 2010. "Measuring the Benefits of Neighbourhood Park Amenities: Application and Comparison of Spatial Hedonic Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(3), pages 429-444, March.

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. HOSHINO Tadao & SHIMAMOTO Daichi & TODO Yasuyuki, 2017. "Accounting for Heterogeneity in Network Formation Behavior: An application to Vietnamese SMEs," Discussion papers 17023, Research Institute of Economy, Trade and Industry (RIETI).

    Cited by:

    1. Yasuyuki Todo & Keita Oikawa & Masahito Ambashi & Fukunari Kimura & Shujiro Urata, 2023. "Robustness and resilience of supply chains during the COVID‐19 pandemic," The World Economy, Wiley Blackwell, vol. 46(6), pages 1843-1872, June.
    2. Yasuyuki Todo & Keita Oikawa & Masahito Ambashi & Fukunari Kimura & Shujiro Urata, 2021. "Robustness and Resilience of Supply Chains During the COVID-19 Pandemic: Findings from a Questionnaire Survey on the Supply Chain Links of Firms in ASEAN and India," Working Papers DP-2021-40, Economic Research Institute for ASEAN and East Asia (ERIA).

  2. Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.

    Cited by:

    1. Xiaorong Yang & Jia Chen & Degui Li & Runze Li, 2023. "Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure," Papers 2303.13218, arXiv.org.
    2. Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020. "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers 2020-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    3. Tadao Hoshino, 2014. "Quantile regression estimation of partially linear additive models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 509-536, September.
    4. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    5. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    6. Tadao Hoshino, 2018. "Semiparametric Spatial Autoregressive Models With Endogenous Regressors: With an Application to Crime Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 160-172, January.
    7. Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2017. "Non-separable Models with High-dimensional Data," Economics and Statistics Working Papers 15-2017, Singapore Management University, School of Economics.
    8. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
    9. Kaspar W thrich, 2014. "A Comparison of two Quantile Models with Endogeneity," Diskussionsschriften dp1408, Universitaet Bern, Departement Volkswirtschaft.
    10. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    11. Zhou, Ying & Shen, Long & Ballester, Laura, 2023. "A two-stage credit scoring model based on random forest: Evidence from Chinese small firms," International Review of Financial Analysis, Elsevier, vol. 89(C).
    12. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.

Articles

  1. Tadao Hoshino, 2018. "Semiparametric Spatial Autoregressive Models With Endogenous Regressors: With an Application to Crime Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 160-172, January.

    Cited by:

    1. Luisa Alamá-Sabater & Teresa Fernández-Núñez & Miguel Ángel Márquez & Javier Salinas-Jimenez, 2020. "Do Countries with Similar Levels of Corruption Compete to Attract Foreign Investment? Evidence Using World Panel Data," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    2. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    3. Sylvain Barde & Rowan Cherodian & Guy Tchuente, 2024. "Moran's I 2-Stage Lasso: for Models with Spatial Correlation and Endogenous Variables," Papers 2404.02584, arXiv.org.
    4. Tizheng Li & Xiaojuan Kang, 2022. "Variable selection of higher-order partially linear spatial autoregressive model with a diverging number of parameters," Statistical Papers, Springer, vol. 63(1), pages 243-285, February.
    5. Qiong Pang & Xijian Hu, 2024. "INLA Estimation of Semi-Variable Coefficient Spatial Lag Model—Analysis of PM2.5 Influencing Factors in the Context of Urbanization in China," Mathematics, MDPI, vol. 12(7), pages 1-24, March.
    6. Maite Alguacil & Luisa Alamá-Sabater, 2021. "Migration in Spain: The Role of Cultural Diversity Revisited," Politics and Governance, Cogitatio Press, vol. 9(4), pages 118-132.
    7. Lin, Xu & Zhang, Jihu & Jiang, Shanhe, 2022. "Spatial and temporal correlations of crime in Detroit: Evidence from spatial dynamic panel data models," International Review of Law and Economics, Elsevier, vol. 72(C).
    8. Hoshino, Tadao, 2022. "Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect," Journal of Econometrics, Elsevier, vol. 229(2), pages 263-275.
    9. Román Mínguez & Roberto Basile & María Durbán, 2020. "An alternative semiparametric model for spatial panel data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 669-708, December.
    10. Bo Pieter Johannes Andree & Francisco Blasques & Eric Koomen, 2017. "Smooth Transition Spatial Autoregressive Models," Tinbergen Institute Discussion Papers 17-050/III, Tinbergen Institute.

  2. Su, Liangjun & Hoshino, Tadao, 2016. "Sieve instrumental variable quantile regression estimation of functional coefficient models," Journal of Econometrics, Elsevier, vol. 191(1), pages 231-254.
    See citations under working paper version above.
  3. Hidano, Noboru & Hoshino, Tadao & Sugiura, Ayako, 2015. "The effect of seismic hazard risk information on property prices: Evidence from a spatial regression discontinuity design," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 113-122.

    Cited by:

    1. Olga Filippova & Cuong Nguyen & Ilan Noy & Michael Rehm, 2019. "Who cares? Future sea-level-rise and house prices," CESifo Working Paper Series 7595, CESifo.
    2. Gary Cornwall & Beau Sauley, 2021. "Indirect effects and causal inference: reconsidering regression discontinuity," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-28, December.
    3. Franco, Sofia F. & Macdonald, Jacob L., 2018. "The effects of cultural heritage on residential property values: Evidence from Lisbon, Portugal," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 35-56.
    4. Huang, Yi, 2021. "Salience of hazard disclosure and house prices: Evidence from Christchurch, New Zealand," Regional Science and Urban Economics, Elsevier, vol. 88(C).
    5. Ti-Ching Peng, 2021. "The effect of hazard shock and disclosure information on property and land prices: a machine-learning assessment in the case of Japan," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 41(1), pages 1-32, February.
    6. Mizuki Kawabata & Michio Naoi & Shohei Yasuda, 2022. "Earthquake risk reduction and residential land prices in Tokyo," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-21, December.
    7. Abbie A. Rogers & Fiona L. Dempster & Jacob I. Hawkins & Robert J. Johnston & Peter C. Boxall & John Rolfe & Marit E. Kragt & Michael P. Burton & David J. Pannell, 2019. "Valuing non-market economic impacts from natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 1131-1161, November.
    8. Kono, Tatsuhito & Tatano, Hirokazu & Ushiki, Kenji & Nakazono, Daisuke & Sugisawa, Fumihito, 2022. "The effects of hazard risk information on locations of firms by industry in tsunami-prone coastal areas," MPRA Paper 115412, University Library of Munich, Germany.
    9. Liu, Haiyan & Ferreira, Susana & Brewer, Brady, 2016. "The Housing Market Impacts of Wastewater Injection Induced Seismicity Risk," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236069, Agricultural and Applied Economics Association.
    10. Jean Dubé & Maha AbdelHalim & Nicolas Devaux, 2021. "Evaluating the Impact of Floods on Housing Price Using a Spatial Matching Difference-In-Differences (SM-DID) Approach," Sustainability, MDPI, vol. 13(2), pages 1, January.
    11. Singh, Ruchi, 2019. "Seismic risk and house prices: Evidence from earthquake fault zoning," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 187-209.
    12. Masako Ikefuji & Roger J. A. Laeven & Jan R. Magnus & Yuan Yue, 2018. "Earthquake risk embedded in property prices: Evidence from five Japanese cities," Tinbergen Institute Discussion Papers 18-061/III, Tinbergen Institute.

  4. Tadao Hoshino, 2014. "Quantile regression estimation of partially linear additive models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 509-536, September.

    Cited by:

    1. Jianbao Chen & Suli Cheng, 2021. "GMM Estimation of a Partially Linear Additive Spatial Error Model," Mathematics, MDPI, vol. 9(6), pages 1-28, March.
    2. Phathutshedzo Mpfumali & Caston Sigauke & Alphonce Bere & Sophie Mulaudzi, 2019. "Day Ahead Hourly Global Horizontal Irradiance Forecasting—Application to South African Data," Energies, MDPI, vol. 12(18), pages 1-28, September.
    3. Seongil Jo & Taeyoung Roh & Taeryon Choi, 2016. "Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(1), pages 177-206, March.
    4. Lebotsa, Moshoko Emily & Sigauke, Caston & Bere, Alphonce & Fildes, Robert & Boylan, John E., 2018. "Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem," Applied Energy, Elsevier, vol. 222(C), pages 104-118.
    5. Cheng, Suli & Chen, Jianbao, 2023. "GMM estimation of partially linear additive spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
    6. Kellner, Ralf & Nagl, Maximilian & Rösch, Daniel, 2022. "Opening the black box – Quantile neural networks for loss given default prediction," Journal of Banking & Finance, Elsevier, vol. 134(C).

  5. Tadao Hoshino, 2013. "Estimation of the preference heterogeneity within stated choice data using semiparametric varying-coefficient methods," Empirical Economics, Springer, vol. 45(3), pages 1129-1148, December.

    Cited by:

    1. Victor Champonnois & Olivier Chanel, 2016. "How useful are (Censored) Quantile Regressions for Contingent Valuation?," Working Papers 2016.12, FAERE - French Association of Environmental and Resource Economists.
    2. Erik Haugom & Iveta Malasevska & Gudbrand Lien, 2021. "Optimal pricing of alpine ski passes in the case of crowdedness and reduced skiing capacity," Empirical Economics, Springer, vol. 61(1), pages 469-487, July.

  6. Tadao Hoshino & Koichi Kuriyama, 2010. "Measuring the Benefits of Neighbourhood Park Amenities: Application and Comparison of Spatial Hedonic Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(3), pages 429-444, March.

    Cited by:

    1. Jisoo Sim & Patrick Miller, 2019. "Understanding an Urban Park through Big Data," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
    2. Wenjie Wu, 2012. "Spatial Variations in Amenity Values: New Evidence from Beijing, China," SERC Discussion Papers 0113, Centre for Economic Performance, LSE.
    3. Ozhegov, Evgeniy & Kosolapov, Nikita & Pozolotina, Iuliia, 2017. "On dependence between housing value and school characteristics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 28-48.
    4. Kathrine von Graevenitz & Toke Emil Panduro, 2015. "An Alternative to the Standard Spatial Econometric Approaches in Hedonic House Price Models," Land Economics, University of Wisconsin Press, vol. 91(2), pages 386-409.
    5. Pauline Laille & Marianne Lefebvre & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers hal-02867639, HAL.
    6. Shinsuke Kyoi, 2021. "People’s Avoidance of Neighboring Agricultural Urban Green Infrastructure: Evidence from a Choice Experiment," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    7. Radosław Trojanek, 2016. "The impact of green areas on dwelling prices: the case of Poznań city," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 4(2), pages 27-35.
    8. Cao, Y. & Swallow, B. & Qiu, F., 2018. "Does Municipal Development Policy Affect Property Values: A Quasi-Experimental Hedonic Model Approach in Alberta, Canada," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277044, International Association of Agricultural Economists.
    9. Kilgarriff, Paul & Charlton, Martin & Foley, Ronan & O'Donoghue, Cathal, 2019. "The impact of housing consumption value on the spatial distribution of welfare," Journal of Housing Economics, Elsevier, vol. 43(C), pages 118-130.
    10. Anping Chen & Marlon Boarnet & Mark Partridge & Wenjie Wu & Guanpeng Dong, 2014. "Valuing The “Green” Amenities In A Spatial Context," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 569-585, September.
    11. Jorge Chica-Olmo & Rafael Cano-Guervos & Mario Chica-Rivas, 2019. "Estimation of Housing Price Variations Using Spatio-Temporal Data," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    12. Marianne Lefebvre & Masha Maslianskaia Pautrel & Pauline Laille, 2018. "Public preferences for pesticide-free urban green spaces: a socio-economic survey [Acceptation du "Zéro-pesticides" dans les espaces publics : Étude socio-économique]," Working Papers hal-02519184, HAL.
    13. Peter Phibbs & Nicole Gurran, 2021. "The role and significance of planning in the determination of house prices in Australia: Recent policy debates," Environment and Planning A, , vol. 53(3), pages 457-479, May.
    14. Fenjie Long & Lang Shi, 2021. "Growth in surrounding consumer amenities: The economic externality of urban parks," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1062-1079, June.
    15. Marianne Lefebvre & Pauline Laille & Masha Maslianskaia-Pautrel, 2020. "Individual preferences regarding pesticide-free management of green-spaces: a discret choice experiment with French citizens," Working Papers 2020.02, FAERE - French Association of Environmental and Resource Economists.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-SEA: South East Asia (2) 2015-02-28 2017-04-02
  2. NEP-ECM: Econometrics (1) 2015-02-28
  3. NEP-ENT: Entrepreneurship (1) 2017-04-02
  4. NEP-SBM: Small Business Management (1) 2017-04-02

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