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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/



1-6-1 Nishiwaseda, Shinjuku-ku, Tokyo, 169-8050
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. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
    6. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    7. Galvao, Antonio F. & Gu, Jiaying & Volgushev, Stanislav, 2020. "On the unbiased asymptotic normality of quantile regression with fixed effects," Journal of Econometrics, Elsevier, vol. 218(1), pages 178-215.

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, Open Access Journal, vol. 12(15), pages 1-15, July.
    2. 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. 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.
    3. Olga Filippova & Cuong Nguyen & Ilan Noy & Michael Rehm, 2020. "Who Cares? Future Sea Level Rise and House Prices," Land Economics, University of Wisconsin Press, vol. 96(2), pages 207-224.
    4. 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.
    5. 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.
    6. 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.
    7. 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. Phathutshedzo Mpfumali & Caston Sigauke & Alphonce Bere & Sophie Mulaudzi, 2019. "Day Ahead Hourly Global Horizontal Irradiance Forecasting—Application to South African Data," Energies, MDPI, Open Access Journal, vol. 12(18), pages 1-28, September.
    2. 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.
    3. 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. 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.

  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. Wenjie Wu, 2012. "Spatial Variations in Amenity Values: New Evidence from Beijing, China," SERC Discussion Papers 0113, Spatial Economics Research Centre, LSE.
    2. 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.
    3. Kathrine Lausted Veie & Toke Emil Panduro, 2013. "An alternative to the standard spatial econometric approaches in hedonic house price models," IFRO Working Paper 2013/18, University of Copenhagen, Department of Food and Resource Economics.
    4. 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.
    5. 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.
    6. Chin-Shyong Su & Tser-Yieth Chen & Hsueh-Ling Wu, 2017. "Housing Price Differences Under the Development of New Towns: Using Taiwan as an Example," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(9), pages 869-881, September.
    7. 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.
    8. 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.
    9. Wu, Wenjie, 2012. "Spatial variations in amenity values: new evidence from Beijing, China," LSE Research Online Documents on Economics 58536, London School of Economics and Political Science, LSE Library.
    10. Jorge Chica-Olmo & Rafael Cano-Guervos & Mario Chica-Rivas, 2019. "Estimation of Housing Price Variations Using Spatio-Temporal Data," Sustainability, MDPI, Open Access Journal, vol. 11(6), pages 1-21, March.
    11. 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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