Research


Working Papers / Works in Progress
  1. Feldkircher, M. and Kakamu, K. "How does monetary policy affect income inequality in Japan?: Evidence from grouped data," submitted. Working Papers in Regional Science, 2018/03, WU Vienna University of Economics and Business [arXiv]
  2. Kobayashi, G., Yamauchi, Y., Kakamu, K., Kawakubo, Y. and Sugasawa, S. "Bayesian approach to Lorenz curve using time series grouped data," submitted. [arXiv]
  3. Sanko, N., Sakai, H., Kakamu, K. and Nakamura, E. "Cost structure changes in Japanese local bus sector in the deregulation era: Bayesian gradual switching approach," submitted.
  4. Kunimoto, N and Kakamu, K. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," submitted.
  5. Kakamu, K. "Bayesian analysis of lognormal mixtures with an unknown number of components from grouped data," in progress.
  6. Kakamu, K., Kamiya, S., Staufer-Steinnocher, P., Yamasaki, T. and Yanase, N. "Extreme earthquakes and the purchasing behavior for earthquake insurance in Japan: A Bayesian approach," in progress.
Publications (Google Scholar Citations)
  1. Kakamu, K. and Nishino, H. (2019) "Bayesian estimation of beta-type distribution parameters based on grouped data," Computational Economics, 53, 625-645.
  2. Kobayashi, G. and Kakamu, K. (2019) "Approximate Bayesian computation for Lorenz curves from grouped data," Computational Statistics, 34, 253-279. [arXiv]
  3. Ohtsuka, Y. and Kakamu, K. (2018) "Regional growth and business cycles in Japan," Review of Urban & Regional Development Studies, 30, 1-25.
  4. Usui, T., Chikasada, M. and Kakamu, K. (2017) "Does garbage pricing increase immoral disposal of household waste?," Applied Economics, 49, 3829-3840.
  5. Kakamu, K. (2016) "Simulation studies comparing Dagum and Singh-Maddala income distributions," Computational Economics, 48, 593-605.
  6. Wang, Y. and Kakamu, K. (2016) "Comment on "Measuring the performance of nations at Beijing summer Olympics using integer-valued DEA model"," Journal of Sports Economics, 17, 418-422.
  7. Nishino, H. and Kakamu, K. (2015) "A random walk stochastic volatility model for income inequality," Japan and the World Economy, 36, 21-28.
  8. Usui, T., Kakamu, K. and Chikasada, M. (2015) "To introduce recycling or not: A panel data analysis in Japan," Resources, Conservation & Recycling, 101, 84-95.
  9. Ohtsuka, Y. and Kakamu, K. (2015) "Comparison of the sampling efficiency in spatial autoregressive model," Open Journal of Statistics, 5, 10-20.
  10. Kobayashi, G., Kakamu, K., Sato, E. and Kozumi, H. (2014) "An integrated purchase model using Gaussian Copula," Behaviormetrika, 41(2), 147-167.
  11. Kakamu, K, Yunoue, H. and Kuramoto, T. (2014) "Spatial patterns of flypaper effects for local expenditure by policy objective in Japan: A Bayesian approach," Economic Modelling, 37, 500-506.
  12. Nishino, H. and Kakamu, K. (2013) "Bayesian Whittle estimation of ARFIMA model," Advances and Applications in Statistics, 37(2), 149-170.
  13. Ohtsuka, Y. and Kakamu, K. (2013) "Space-time model versus VAR model: Forecasting electricity demand in Japan," Journal of Forecasting, 32(1), 75-85.
  14. Nishino, H., Kakamu, K. and Oga, T. (2012) "Bayesian estimation of persistent income inequality using the lognormal stochastic volatility model," Journal of Income Distribution, 21(1), 88-101.
  15. Kakamu, K., Polasek, W. and Wago, H. (2012) "Production technology and agglomeration for Japanese prefectures during 1991-2000," Papers in Regional Science, 91(1), 29-41.
  16. Nishino, H. and Kakamu, K. (2011) "Grouped data estimation and testing of Gini coefficient using lognormal distributions," Sankhya Series B, 73(2), 193-210.
  17. Ohtsuka, Y., Oga, T. and Kakamu, K. (2010) "Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach," Computational Statistics & Data Analysis, 54(11), 2721-2735.
  18. Kakamu, K. and Fukushige, M. (2009) "Multilevel decomposition methods for income inequality measures," Japanese Economic Review, 60(3), 333-344.
  19. Kakamu, K. (2009) "Small sample properties and model choice in spatial models: A Bayesian approach," Far East Journal of Applied Mathematics, 34(1), 31-56.
  20. Kakamu, K. and Wago, H. (2008) "Small-sample properties of panel spatial autoregressive models: Comparison of the Bayesian and maximum likelihood methods," Spatial Economic Analysis, 3(3), 305-319.
  21. Kakamu, K., Polasek, W. and Wago, H. (2008) "Spatial interaction of crime incidents in Japan," Mathematics and Computers in Simulation, 78(2-3), 276-282.
  22. Kakamu, K. (2008) "Spatial patterns of production activity in Japanese MEA: A Bayesian approach," Empirical Economics Letters, 7(2), 137-143.
  23. Mizobuchi, K. and Kakamu, K. (2007) "Simulation studies on the CO2 emission reduction efficiency in spatial econometrics: A case of Japan," Economics Bulletin, 18(4), 1-9.
  24. Kakamu, K. and Fukushige, M. (2006) "Productivity convergence of manufacturing industries in Japanese MEA," Applied Economics Letters, 13(10), 649-653.
  25. Kakamu, K. (2005) "Bayesian estimation of a distance functional weight matrix model," Economics Bulletin, 3(57), 1-6.
  26. Kakamu, K. and Fukushige, M. (2005) "Divergence or convergence?: Income inequality between cities, towns and villages in Japan," Japan and the World Economy, 17(4), 407-416.
  27. Suzuki, K., Kakamu, K. and Fukushige, M. (2003) "How much effect does human capital have on interregional income differentials in Japan?," Studies in Regional Science, 33(1), 129-139.
Chapters in Books
  1. Nakamura, E., Urakami, T and Kakamu, K. (2019) "Bayesian stochastic frontier model with endogenous regressors: An application to the effect of division of labor in Japanese water supply organizations," (Jeliazkov, I. and Tobias, J. eds.) Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B (Advances in Econometrics, Volume 40B), , Emerald Publishing Limited, 29-46.
  2. Kakamu, K. and Wago, H. (2014) "School choice effects in Tokyo metropolitan area: A Bayesian spatial quantile regression approach," (Jeliazkov, I. and Yang, X.-S. eds) Bayesian Inference in the Social Sciences, John Wiley & Sons, Ltd., 317-329.
  3. Kakamu, K., Ohtsuka, Y. and Arasawa, S. (2011) "On the roles of spatial interactions and heteroscedasticity in crime modeling," (Hasselm, A.E. ed) Crime: Causes, Types and Victims, Nova Science Publishers, 211-220.
  4. Kakamu, K., Wago, H. and Tanizaki, H. (2010) "Estimation of regional business cycle in Japan using Bayesian panel spatial autoregressive probit model," (Nolin, T.P. ed) Handbook of Regional Economics, Nova Science Publishers, 555-571.
  5. Ohtsuka, Y. and Kakamu, K. (2009) "Estimation of electric demand in Japan: A Bayesian spatial autoregressive AR(p) approach," (Schwartz, L.V. ed) Inflation: Causes and Effects, Nova Science Publishers, 156-178.
  6. Kakamu, K., Polasek, W. and Wago, H. (2007) "Model choice for panel spatial models: Crime modeling in Japan," (Decker, R. and Lenz, H.-J. eds) Advances in Data Analysis, Springer, 237-244.
Other Publications
  1. Kakamu, K., Polasek, W. and Wago, H. (2007) "Spatial agglomeration and spill-over analysis for Japanese prefectures during 1991-2000," Proceedings of International Congress on Modelling and Simulation, 958-964.
  2. Kakamu, K., Polasek, W. and Wago, H. (2005) "Spatial interaction of crime incidents in Japan," Proceedings of International Congress on Modelling and Simulation, 407-413.
  3. Kakamu, K. and Wago, H. (2005) "Bayesian spatial panel probit model with an application to business cycle in Japan," Proceedings of International Congress on Modelling and Simulation, 856-863.