Forthcoming/ In Press
Bhattacharjee, A. , Castro, E.A., Maiti, T. and Marques, J.L. (2015). Endogenous Spatial Structure and Delineation of Housing Submarkets. Journal of Applied Econometrics, Special issue on Cross-Section Dependence (forthcoming).
Bhattacharjee, A. and Holly, S. (2015). MPC Decision Making, the Long Expansion and the Crisis: Integration with global economy, Heterogeneity and Network dynamics. In: A. Chrystal, J. Pearlman and P.N. Smith (Eds.), The Causes and Consequences of the Long UK Expansion: 1992 to 2007, Cambridge University Press (In Press).
Dass, S.C., Lim, C.-Y., Maiti, T. and Zhang, Z. (2015). Change Point Analysis of Cancer Mortality Rates for U.S. States using Functional Dirichlet Processes. Statistica Sinica (forthcoming).
Ditzen, J. and Gundlach, E. (2015). A Monte Carlo study of the BE estimator for growth regressions. Empirical Economics (forthcoming).
Maiti, T. , Ren, H., Dass, S.C. and Lim, C.-Y. (2015). Clustering Based Small Area Estimation: An Application of MEAP Data (Invited). Calcutta Statistical Association Bulletin (forthcoming).
Ahrens, A. and Bhattacharjee, A. (2015). Two-Step Lasso Estimation of the Spatial Weights Matrix. Econometrics (MDPI), 3 (1), Special issue on Spatial Econometrics, 128-155.
Bhattacharjee, A. and Holly, S. (2015). Influence, Interactions and Heterogeneity: Taking Personalities out of Monetary Policy Decision-Making. Manchester School 83(2), 153-182.
Castro, E.A., Zhang, Z., Bhattacharjee, A., Martins, J.M. and Maiti, T. (2015). Regional Fertility Data Analysis: A Small Area Bayesian Approach. In: D.K. Dey, A. Loganathan, U. Singh and and S.K. Upadhyay (Eds.), Current Trends in Bayesian Methodology with Applications, Chapman & Hall/CRC Press, Chapter 10, 203-224.
Schaffer, M.E. (2015). GINIREG: Stata module for Gini regression. Statistical Software. http://ideas.repec.org/c/boc/bocode/s457958.html
Bhattacharjee, A. and Han, J. (2014). Financial Distress of Chinese Firms: Microeconomic, Macroeconomic and Institutional Influences. China Economic Review 30, 244-262.
Bhattacharjee, A. , Maiti, T. and Petrie, D.J. (2014). General Equilibrium Effects of Spatial Structure: Health Outcomes and Health Behaviours in Scotland. Regional Science and Urban Economics 49, 286-297.
Dass, S.C., Lim, C.-Y. and Maiti, T. (2014). A generalized mixed model framework for assessing fingerprint individuality in presence of varying image quality. Annals of Applied Statistics 8(3), 1314-1340.
Diao, L., Smith, D.D., Datta, G.S., Maiti, T. and Opsomer, J.D. (2014). Accurate confidence interval estimation of small area parameters under the Fay–Herriot model. Scandinavian Journal of Statistics 41(2), 497-515.
Dohmen, T., Lehmann, H. and Schaffer, M.E. (2014). Wage policies of a Russian firm and the financial crisis of 1998: evidence from personnel data, 1997 to 2002. ILR Review 67(2), 504-531.
Maiti, T. , Ren, H. and Sinha, S. (2014). Prediction Error of Small Area Predictors Shrinking both Mean and Variances. Scandinavian Journal of Statistics 41, 775-790.
Majumdar, S.K. and Bhattacharjee, A. (2014). Firms, Markets and the State: Institutional Change and Manufacturing Sector Profitability Variances in India. Organization Science 25, 509-528.
Mitra, P., Muravyev, A. and Schaffer, M.E. (2014). Labor reallocation and firm growth: benchmarking transition countries against mature market economies. IZA Journal of Labor & Development 3(13).
Zhang, Z., Lim, C.-Y. and Maiti, T. (2014). Analyzing 2000-2010 Childhood Age-Adjusted Cancer Rates in Florida: A Spatial Clustering Approach. Statistics and Public Policy 1(1), 120-128.
Baum, C.F. and Schaffer, M.E. (2013). ACTEST: Stata module to perform Cumby-Huizinga general test for autocorrelation in time series. Statistical Software. http://ideas.repec.org/c/boc/bocode/s457668.html
Baum, C.F. and Schaffer, M.E. (2013). AVAR: Stata module to perform asymptotic covariance estimation for iid and non-iid data robust to heteroskedasticity, autocorrelation, 1-and 2-way clustering, and common cross-panel autocorrelated disturbances. Statistical Software. http://ideas.repec.org/c/boc/bocode/s457689.html
Bhattacharjee, A. and Holly, S. (2013). Understanding interactions in social networks and committees. Spatial Economic Analysis 8(1), 23-53.
Bhattacharjee, A. and Jensen-Butler, C. (2013). Estimation of the spatial weights matrix under structural constraints. Regional Science and Urban Economics 43(4), 617-634.
Carlin, W., Schaffer, M.E. and Seabright, P. (2013). Soviet Power Plus Electrification: What is the Long-Run Legacy of Communism?. Explorations in Economic History 50(1), 116-147.
Kovandzic, T., Schaffer, M.E., and Kleck, G. (2013). Estimating the causal effect of gun prevalence on homicide rates: a local average treatment effect approach. Journal of Quantitative Criminology 29(4), 477-541.
Marques, J.L., Castro, E.A. and Bhattacharjee, A. (2013). Os Padrões Espaciais do Mercado da Habitação: Uma Noção Multidimensional Não Euclideana do Espaço (in Portuguese, trans: "Spatial Patterns of the Housing Market: Multidimensional Non-Euclidean Notion of Space"). Revista Portuguesa de Estudos Regionnais 32(1), 5-23.
Finlay, K., Magnusson, L. and Schaffer, M.E. (2013). WEAKIV: Stata module to perform weak-instrument-robust tests and confidence intervals for instrumental-variable (IV) estimation of linear, probit and tobit models. Statistical Software. https://ideas.repec.org/c/boc/bocode/s457684.html
Xu, Y., Choi, J., Dass, S.C. and Maiti, T. (2013). Efficient Bayesian Spatial Prediction with Mobile Sensor Networks Using Gaussian Markov Random Fields. Automatica 49, 3520-3530.
Baum, C.F. and Schaffer, M.E. (2012). IVREG2H: Stata module to perform instrumental variables estimation using heteroskedasticity-based instruments. Statistical Software. http://ideas.repec.org/c/boc/bocode/s457555.html
Bhattacharjee, A. , Castro, E.A. and Marques, J.L. (2012). Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal. Spatial Economic Analysis 7(1), 133-167.
Dass, S.C., Lim, C.-Y. and Maiti, T. (2012). Default Bayesian analysis for multivariate generalized CAR models. Statistica Sinica 22, 231-248.
Dass, S.C., Maiti, T., Ren, H. and Sinha, S. (2012). Small Area Estimation Shrinking both Means and Variance. Survey Methodology 38, 173-187.
Hall, P. and Maiti, T. (2012). Choosing Trajectory and Data Type when Classifying Functional Data. Biometrika 99 , 799-811.
Marques, J.L., Castro, E.A. and Bhattacharjee, A. (2012). Methods and models of analysis in the urban housing market. In: R. Capello and T.P. Dentinho (Eds.), ‘Networks, Space and Competitiveness: Evolving Challenges for Sustainable Growth’, Edward Elgar: Cheltenham UK, Chapter 7, 149-180.
Mukhopadhyay, P., Maiti, T. and Fuller, W. (2012). County level Estimation using Data from the U.S. National Resources Inventory (Invited). Journal of the Indian Society of Agricultural Statistics 66, 65-74.
Ruehl, C., Appleby, P., Fennema, J., Naumov, A. and Schaffer, M.E. (2012). Economic Development and the Demand for Energy: A Historical Perspective on the Next 20 Years. Energy Policy 50, Special Section: Past and Prospective Energy Transitions - Insights from History, 109-116.
Xu, Y., Choi, J., Dass, S.C. and Maiti, T. (2012). Sequential Bayesian prediction and adaptive sampling algorithms for mobile sensor networks. IEEE Transactions on Automatic Control 57(8), 2078-2084.