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2013 年度 実施状況報告書

財政政策が労働市場に与える影響についての理論、実証分析

研究課題

研究課題/領域番号 25780195
研究種目

若手研究(B)

研究機関国際大学

研究代表者

LIN Ching  国際大学, 国際関係学研究科, 准教授 (70582287)

研究期間 (年度) 2013-04-01 – 2015-03-31
キーワードDSGE モデル / 財政政策 / 労働市場
研究概要

In this project I examine the effects of fiscal simulations on the unemployment. In particular, I focus on its asymmetric effects on “skilled workers” and “low-skilled worker”. The low-skilled worker here refers to those workers with low education background and less working experiences (eg, young workers). Since the unemployment of low skilled worker usually generates rather larger social problems and draws much attention from the policymaker. Therefore, when the fiscal stimulation is implemented, it is important to know how well it can do for this specific group. To explore this issue I construct a dynamic general equilibrium model with the setting of workers’ heterogeneity. I then estimate the model using Bayesian methods. Based on estimated model I can evaluate the fiscal stimulation effects.
In this year my coauthor (Prof. Miyamoto) and I have completed a research paper (published in the Journal of the Japanese and International Economies), in which we estimate a search-matching model using Japanese data by Bayesian methods. The estimated results identify some special features in Japanese labor markets, which are crucial for my research in the next stage.
I also invited Dr. Morrow (currently working in London School of Economics) to jointly work on this project. He visited Japan last summer for two weeks, guided and assisted me on many issues in estimation and model constructing. We also visited several Japanese Universities ( Waseda University, Nagoya university and Kobe University) for presenting papers and exchanging research ideas with other scholars.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

Currently I follow the planned schedule. I’ve also collected the necessary data sets and investigate their cyclic properties. I am constructing the model and will soon work on estimation.

今後の研究の推進方策

In the coming year the research focus is to estimating the constructed theoretical model using Bayesian methods. I'll use the estimated model evaluate the fiscal stimulation effects and conduct numerical experiments to examine the effects of different types of fiscal stimulations.
I'll summarize the results and findings as several research papers. These papers will be firstly presented in university seminar and conferences, and then revised based on the comments received. I'll submit these papers to academic journals.

次年度の研究費の使用計画

A large part of the planned expenditure not spent yet is for upgrading the existing computer severs. This procedure was not implemented because research focus in the last year was the model constructing and data analysis, which both require relatively less computational burden. However, in the coming year, the main work will transfer to those computational intensive tasks - the model simulation and estimations. The computer server upgrading is still necessary and will be implemented soon.
The amount incurred will be used for upgrading the existing computer sever for the model simulation and estimation.

  • 研究成果

    (3件)

すべて 2014 2013

すべて 雑誌論文 (1件) 学会発表 (2件)

  • [雑誌論文] An Estimated Search and Matching Model of the Japanese Labor Market2014

    • 著者名/発表者名
      Ching-Yang Lin, Hiroaki Miyamoto
    • 雑誌名

      Journal of the Japanese and International Economies

      巻: 32 ページ: 86–104

    • DOI

      10.1016/j.jjie.2014.03.001

  • [学会発表] How Do Income and Bequest Taxes Affect Income Inequality? The Role of Parental Transfers2013

    • 著者名/発表者名
      Ching-Yang Lin
    • 学会等名
      Econometric Society Australasian Meeting
    • 発表場所
      University of Sydney, Sydney, Australia
    • 年月日
      20130709-20130712
  • [学会発表] Estimating a search and matching model of the aggregate labor market in Japan2013

    • 著者名/発表者名
      Ching-Yang Lin
    • 学会等名
      Search Theory Workshop
    • 発表場所
      関西大学, Osaka, japan
    • 年月日
      20130614-20130614

URL: 

公開日: 2015-05-28  

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