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Estimation and inference for area-wise spatial income distributions from grouped data [article]

Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo
2019 arXiv   pre-print
In this work, we develop an effective method for the simultaneous estimation and inference for area-wise spatial income distributions taking account of geographical information from grouped data.  ...  Based on the multinomial likelihood function for grouped data, we propose a spatial state-space model for area-wise parameters of parametric income distributions.  ...  Acknowledgements This work was supported by JSPS KAKENHI Grant Numbers 18K12754, 18K12757, 19K13667 and Japan Center for Economic Research.  ... 
arXiv:1904.11109v2 fatcat:ve2mmvhubfb53ho6xkng6v53ce

Convergence in per capita CO2 emissions: A robust distributional approach

C. Ordás Criado, J.-M. Grether
2011 Resource and Energy Economics  
many country groupings (similar income, geographic neighbors, institutional partners).  ...  Our results point toward non-stationary, flattening and rightskewed spatial distributions before the oil price shocks of the 1970s and more stable shapes between 1980 and 2000 at the world level and for  ...  We also benefited from helpful comments from Jim de Melo and Scott Taylor. We thank David Goldblatt for his careful linguistic check.  ... 
doi:10.1016/j.reseneeco.2011.01.003 fatcat:ecyegtwy4fa5plcaa4w3up63za

Sparse estimation of huge networks with a block-wise structure

Francesco Moscone, Elisa Tosetti, Veronica Vinciotti
2017 Econometrics Journal  
While requiring a-priori information on the block structure, for example given by the hierarchical structure of data, our approach can be adopted for estimation and prediction using very large panel data  ...  Networks with a very large number of nodes appear in many application areas and pose challenges to the traditional Gaussian graphical modelling approaches.  ...  for estimating spatial weights matrices in the context of very large panel data.  ... 
doi:10.1111/ectj.12078 fatcat:otll4vflq5dztmfng25zo2n6lu

Profile of the Tourists, their Attitude Level, Expenditure Portfolio and its Determinants in Madurai Region - A Study

Selvaraj N
2015 Journal of Tourism & Hospitality  
The investigator has made a study about the purposes for which tourists came here under distribution by tourists of foreign nationalities and the Indian tourists.  ...  When man moved from country to country, he transformed the entire profile of the countries and changed the racial, religious and linguistic compositions of such locations.  ...  Table 7 : 7 Occupation-wise distribution of tourists visit in Madurai region. Source: Survey data.  ... 
doi:10.4172/2167-0269.1000182 fatcat:5ucg3fudyrdrvdk656ycvk45g4

Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution [article]

Guanyu Hu, Junxian Geng, Yishu Xue, Huiyan Sang
2021 arXiv   pre-print
We design efficient Markov chain Monte Carlo (MCMC) algorithms to simultaneously infer the posterior distributions of the number of clusters and the clustering configuration of spatial functional data.  ...  We apply the proposed spatial functional clustering method to state level income Lorenz curves from the American Community Survey Public Use Microdata Sample (PUMS) data.  ...  Figure 5 : 5 Histograms of Gini indices calculated from the simulated state-wise income data (5,100 in each panel from 100 replicates) for weak and strong signals under the two true partition settings.  ... 
arXiv:2002.06663v3 fatcat:izmyimegifhwndmqvjm7wqspoa

A memory-free spatial additive mixed modeling for big spatial data [article]

Daisuke Murakami, Daniel A. Griffith
2019 arXiv   pre-print
This study develops a spatial additive mixed modeling (AMM) approach estimating spatial and non-spatial effects from large samples, such as millions of observations.  ...  To overcome this limitation, this study develops a fast AMM with the estimation of spatial structure in residuals and regression coefficients together with non-spatial effects.  ...  Acknowledgement This study is funded by the JSPS KAKENHI Grant Numbers 17K12974 and 18H03628.  ... 
arXiv:1907.11369v2 fatcat:4xkwqqfv7fe6lkxcwja5a3tqbm

A microsimulation of spatial inequality in energy access: A Bayesian multi-level modelling approach for urban India [article]

A. P. Neto-Bradley
2021 arXiv   pre-print
Limited data exists on the spatial distribution of energy use in Indian cities, particularly amongst low-income households, and most quantitative studies focus primarily on the effect of economic determinants  ...  A microsimulation approach is proposed, using publicly available data and a Bayesian multi-level model to account for effects of current cooking practices, local socio-cultural context, and spatial effects  ...  The authors are grateful to Luke Archer at the Leeds Institute for Data Analytics, University of Leeds, for advice on generating synthetic populations using R.  ... 
arXiv:2109.08577v1 fatcat:ps2pqtayevaqpmqs4urgbrizm4

Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model

Tianyu Pan, Guanyu Hu, Weining Shen
2024 Statistica sinica  
We derive a closed-form conditional distribution for the proposed prior and introduce a new way to compute the marginal likelihood that renders efficient Bayesian inference.  ...  We demonstrate the excellent empirical performance of our method via extensive simulation studies and applications to a US precipitation data and a California median household income data study.  ...  Acknowledgment The authors thank the editor, the associate editor, and reviewers for their valuable comments, which helped improve the presentation of this paper.  ... 
doi:10.5705/ss.202021.0247 fatcat:igbmx76vo5cadawlujbx7sxji4

Mapping the Voxel-Wise Effective Connectome in Resting State fMRI

Guo-Rong Wu, Sebastiano Stramaglia, Huafu Chen, Wei Liao, Daniele Marinazzo, Pedro Antonio Valdes-Sosa
2013 PLoS ONE  
We for the first time depicted the voxel-wise hubs of incoming and outgoing information, called Granger causality density (GCD), as a complement to previous repertoire of functional and anatomical connectomes  ...  and short datasets, such as time series from individual voxels in fMRI.  ...  We only chose a fixed value of the data length which ensured a robust significant causal inference.  ... 
doi:10.1371/journal.pone.0073670 pmid:24069220 pmcid:PMC3771991 fatcat:p66g77eu2bfs5fc2bjsvzjdz4a

Socioeconomic Correlates of Anti-Science Attitudes in the US

Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman
2021 Future Internet  
and rural areas, respectively.  ...  Our analysis demonstrates the feasibility of using spatially resolved social media data to monitor public attitudes on issues of social importance.  ...  Acknowledgments: Authors are grateful to Nazanin Alipourfard for providing help with running the DoGR software. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi13060160 fatcat:c4nrj2ywdjgbrkaxpoxvof3wie

A Spatio-Temporal Model of House Prices in the US

Sean Holly, M. Hashem Pesaran, Takashi Yamagata
2006 Social Science Research Network  
We are able to identify a significant spatial effect, even after controlling for State specific real incomes, and allowing for a number of unobserved common factors. JEL Code: C21, C23.  ...  This allows us to find a cointegrating relationship between house prices and incomes and to identify a small role for real interest rates.  ...  MG stands for Mean Group estimates.  ... 
doi:10.2139/ssrn.937377 fatcat:ilybfjecszhurcne7edk23o5se

Supplementary Material from Segregation and polarization in urban areas

Alfredo J. Morales, Xiaowen Dong, Yaneer Bar-Yam, Alex 'Sandy' Pentland
2019 Figshare  
Supplementary information provided in sections, figures and tables.  ...  The color of each curve indicates the normalized median income of each group (from red to blue) and the black dashed curve shows the global distribution.  ...  The KS statistical test estimates the probability that two samples follow the same distribution.  ... 
doi:10.6084/m9.figshare.9939416 fatcat:34zjy75utjcsdl3xkpkfcfxse4

Whose express access? Assessing the equity implications of bus express routes in Montreal, Canada

James DeWeese, Manuel Santana Palacios, Anastasia Belikow, Ahmed El-Geneidy
2022 Journal of Transport and Land Use  
This occurs despite the location of low-income populations in some outlying areas of the city, which express bus routes are supposed to serve.  ...  This paper assesses how the accessibility benefits of express bus route policy are distributed in Montreal, Canada, while providing a pathway for public transportation agencies to assess their policies  ...  Daniel Bergeron from ARTM for providing us with access to the detailed Montreal OD-survey data.  ... 
doi:10.5198/jtlu.2022.1879 fatcat:ligj74j5bbcu3iaz2t4w4gzkem

A Spatially Explicit Approach to the Study of Socio- Demographic Inequality in the Spatial Distribution of Trees across Boston Neighborhoods

Dustin T. Duncan, Ichiro Kawachi, Susan Kum, Jared Aldstadt, Gianfranco Piras, Stephen A. Matthews, Giuseppe Arbia, Marcia C. Castro, Kellee White, David R. Williams
2014 Spatial Demography  
We also thank the City of Boston's Department of Innovation and Technology for in releasing the tree data.  ...  We thank Jeff Blossom for providing technical assistance with building the geospatial dataset used in this research and for commenting on our description of the tree data.  ...  However, LeSage and Pace (2010) find little theoretical basis for the diffused evidence that estimates and inferences from spatial regression models are sensitive to a particular specification of the weights  ... 
doi:10.1007/bf03354902 pmid:29354668 pmcid:PMC5771436 fatcat:y33kagmi4vhenoltkiq2mxnwou

New economic geography and regional price level

Reinhold Kosfeld, Hans-Friedrich Eckey, Matthias Türck
2007 Jahrbuch für Regional Wissenschaft  
In view of the lack of areawide regional price data, Aten and Heston (2005) adopted an econometric approach in estimating regional price level from an international perspective.  ...  The present paper relies on the price mechanisms of the Helpman model (Helpman, 1998) in developing spatialeconometric models for regional price level and its major components.  ...  spatial patterns, formulating hypotheses for georeferenced variables and assessing spatial models (Haining and Wise, 1997) .  ... 
doi:10.1007/s10037-007-0022-7 fatcat:jgxyny2atbdwpp3dmr4otjr5sm
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