Updated on 2021/12/08

写真a

 
HOSHINO, Tadao
 
Affiliation
Faculty of Political Science and Economics, School of Political Science and Economics
Job title
Associate Professor
Profile
Associate Professor, School of Political Science and Economics, Waseda University

PhD in Social Engineering: Tokyo Institute of Technology, March 2012
MSc in Local Economic Development: London School of Economics, November 2008
BA in Economics: Waseda University, March 2007

Degree

  • 東京工業大学   学術博士

Research Experience

  • 2016.04
    -
    2018.03

    Tokyo University of Science   Department of Business Economics   Tenured Assistant Professor

  • 2014.04
    -
    2016.03

    Waseda University   Global Education Center   Non-tenured Assistant Professor

Professional Memberships

  •  
     
     

    Econometric Society

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    環境経済・政策学会

  •  
     
     

    日本統計学会

  •  
     
     

    日本経済学会

 

Research Areas

  • Economic statistics

Research Interests

  • Non-market valuation

  • Social interactions

  • Econometrics

Papers

  • Semiparametric Estimation of Censored Spatial Autoregressive Models

    Hoshino Tadao

    Econometric Theory    2019.02  [Refereed]

  • Two-Step Estimation of Incomplete Information Social Interaction Models with Sample Selection

    Tadao Hoshino

    Journal of Business & Economic Statistics     0  2017.10  [Refereed]

    DOI

  • Sieve instrumental variable quantile regression estimation of functional coefficient models

    Liangjun Su, Tadao Hoshino

    JOURNAL OF ECONOMETRICS   191 ( 1 ) 231 - 254  2016.03  [Refereed]

     View Summary

    In this paper we consider sieve instrumental variable quantile regression (IVQR) estimation of functional coefficient models where the coefficients of endogenous regressors are unknown functions of some exogenous covariates. We estimate the functional coefficients by the sieve-IVQR technique and establish the uniform consistency and asymptotic normality of the estimators. Based on the sieve estimates, we propose a nonparametric specification test for the constancy of the functional coefficients and study its asymptotic. We conduct simulations to evaluate the finite sample behavior of our estimator and test statistic, and apply our method to study the estimation of quantile Engel curves. (C) 2015 Elsevier B.V. All rights reserved.

    DOI

  • Semiparametric Spatial Autoregressive Models with Endogenous Regressors: With an Application to Crime Data

    Tadao Hoshino

    Journal of Business & Economic Statistics     1  2016.02  [Refereed]

    DOI

  • Economic valuation of environmental quality using property auction data: A structural estimation approach

    Tadao Hoshino, Hayato Nakanishi

    Land Economics   92 ( 4 ) 703 - 717  2016  [Refereed]

     View Summary

    This study proposes a method to economically evaluate environmental quality using property auction data. Our approach is consistent with microeconomic auction theory and can directly estimate the value function from the data, a task that is often difficult when using conventional revealed preference methods such as the hedonic approach. We use a method of simulated moments to estimate the value function, which in turn is used to calculate the economic value of environmental quality changes.We apply this method to data on foreclosure property auctions in Tokyo in order to economically evaluate hypothetical improvements in neighborhood fire risks.

    DOI

  • The effect of seismic hazard risk information on property prices: Evidence from a spatial regression discontinuity design

    Noboru Hidano, Tadao Hoshino, Ayako Sugiura

    REGIONAL SCIENCE AND URBAN ECONOMICS   53   113 - 122  2015.07  [Refereed]

     View Summary

    In this paper, we utilize a spatial two-dimensional regression discontinuity (RD) design to study how Tokyo's property market evaluates information on seismic hazard risk. This approach is superior to the conventional one-dimensional RD design as it is able to account for spatially heterogeneous treatment effects and reduce small-sample biases. Our data consists of residential property transactions from the 23-ward area of Tokyo. Our results show that the unit prices of residential properties in low-risk zones were between 13,970-17,380 JPY higher than those in high-risk zones depending on the type of seismic hazard risk. In addition, we find that information on seismic hazard risk does not significantly affect the prices of newly constructed apartments, which are more resistant to earthquake damage than older residences. (C) 2015 Elsevier B.V. All tights reserved.

    DOI

  • Quantile regression estimation of partially linear additive models

    Tadao Hoshino

    JOURNAL OF NONPARAMETRIC STATISTICS   26 ( 3 ) 509 - 536  2014  [Refereed]

     View Summary

    In this paper, we consider the estimation of partially linear additive quantile regression models where the conditional quantile function comprises a linear parametric component and a nonparametric additive component. We propose a two-step estimation approach: in the first step, we approximate the conditional quantile function using a series estimation method. In the second step, the nonparametric additive component is recovered using either a local polynomial estimator or a weighted Nadaraya-Watson estimator. Both consistency and asymptotic normality of the proposed estimators are established. Particularly, we show that the first-stage estimator for the finite-dimensional parameters attains the semiparametric efficiency bound under homoskedasticity, and that the second-stage estimators for the nonparametric additive component have an oracle efficiency property. Monte Carlo experiments are conducted to assess the finite sample performance of the proposed estimators. An application to a real data set is also illustrated.

    DOI

  • Estimation of the preference heterogeneity within stated choice data using semiparametric varying-coefficient methods

    Tadao Hoshino

    EMPIRICAL ECONOMICS   45 ( 3 ) 1129 - 1148  2013.12  [Refereed]

     View Summary

    This study proposes the use of semiparametric varying-coefficient methods to estimate the preference heterogeneity within stated choice data. Semiparametric varying-coefficient methods have the potential to overcome the disadvantages of conventional random parameter models and latent class models. For binary probit models with varying coefficients, in particular, this study proposes an easy-to-compute local iterative least squares (LILS) approach, based on the expectation-maximization algorithm. The finite sample properties of the LILS estimator are assessed using Monte Carlo experiments. In order to demonstrate the practical usefulness of semiparametric varying-coefficient methods, we present an empirical study, conducting an economic valuation of a landscape with dichotomous choice contingent valuations.

    DOI

  • Partial identification in binary response models with nonignorable nonresponses

    Tadao Hoshino

    Economics Letters   121 ( 1 ) 74 - 78  2013  [Refereed]

     View Summary

    This study investigates the identification of parameters in semiparametric binary response models of the form y=1(x'β+v+ε&gt
    0) when there are nonignorable nonresponses. We propose an estimation procedure for the identified set, the set of parameters that are observationally indistinguishable from the true value β, based on the special regressor approach of Lewbel (2000). We show that the estimator for the identified set is consistent in the Hausdorff metric. © 2013 Elsevier B.V.

    DOI

  • Estimation and Analysis of Preference Heterogeneity in Residential Choice Behaviour

    Tadao Hoshino

    URBAN STUDIES   48 ( 2 ) 363 - 382  2011.02  [Refereed]

     View Summary

    Effective and efficient planning and development of residential environments require clarifying the nature of residential preferences. In reality, residential preferences are heterogeneous, so the standard econometric models that assume only one type of preference are not optimal. In this study, conjoint choice experiment methods are employed with a mixed logit approach. The findings reveal significant heterogeneity with regard to some residential attributes. The determinants of preference heterogeneity were also investigated by conducting regression analyses on the attributes that were valued heterogeneously. Overall, the relationships observed between the explanatory variables and the heterogeneity in the valuations were understandable. However, coefficient of determination values for each model were low, indicating that the bulk of preference heterogeneity results from unobservable factors.

    DOI

  • Measuring the Benefits of Neighbourhood Park Amenities: Application and Comparison of Spatial Hedonic Approaches

    Tadao Hoshino, Koichi Kuriyama

    ENVIRONMENTAL & RESOURCE ECONOMICS   45 ( 3 ) 429 - 444  2010.03  [Refereed]

     View Summary

    The hedonic price method was used to estimate the influence of parks on the rental prices of single-room dwellings in Setagaya Ward, Tokyo, Japan. A simple least squares method is not optimal when the data set contains spatial autocorrelation. To improve the accuracy of estimates, we employed spatial autoregression and kriging models, resulting in a higher validity of the spatial models compared to the least squares model. Kriging models were superior to others particularly in terms of prediction accuracy, indicating that these models should be employed if the objective is superior prediction rather than estimation. The results showed that the effect of parks on property values varied with the buffer distance and park size.

    DOI

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Books and Other Publications

  • Rによる実証分析:回帰分析から因果分析へ

    星野 匡郎( Part: Joint author)

    オーム社  2016

  • 統計リテラシーβ:データの分布

    星野 匡郎( Part: Sole author)

    早稲田大学出版部  2014

  • 環境評価の最新テクニック

    星野 匡郎( Part: Joint author)

    勁草書房  2011

Awards

  • SEEPS Young Achievement Award

    2018.09   Society for Environmental Economics and Policy Studies  

    Winner: Hoshino Tadao

Specific Research

  • 構造推定アプローチによる経済政策評価

    2014   中西勇人

     View Summary

    (1) 不動産オークションデータを活用し,環境質に対する需要関数をデータから直接推定する方法を提案した。実証分析では,東京地方裁判所において実施された住居用マンションの競売データを用い,住居近隣の防火水準の改善がもたらす経済的価値を測定した。以上の結果を論文としてまとめ,学術誌Land Economicsへ投稿した。(2) 内生変数を含むセミパラメトリック空間計量経済モデルに対して,Series 2SLS法を用いた推定方法を提案した。Series 2SLS推定量の漸近的性質を証明した後,実証分析として,東京都における地域犯罪と交番立地の関係性を調べた。以上の結果を論文としてまとめ,学術誌Journal of Business & Economic Statisticsへ投稿した。

 

Syllabus

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