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Mortality Forecasting in Geographical Space and Time

https://doi.org/10.2139/ssrn.5113565
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Initial conditions and moment restrictions in dynamic panel data models
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ESTIMATION OF UNIT ROOT SPATIAL DYNAMIC PANEL DATA MODELS
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A neural network extension of the Lee–Carter model to multiple populations
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Applying Lee-Carter under conditions of variable mortality decline
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Multi-population mortality models: fitting, forecasting and comparisons
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A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States
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A Review of Panel Data on Spatial Econometrics Models
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A Simple Panel‐CADF Test for Unit Roots*
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A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration
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Incorporating spatial information in machine learning: The Moran eigenvector spatial filter approach
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Spatio-temporal trends of mortality in small areas of Southern Spain
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Detecting spatio-temporal mortality clusters of European countries by sex and age
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Improving mortality forecasting using a hybrid of Lee–Carter and stacking ensemble model
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Smoothing and forecasting mortality rates
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Evaluating the Performance of the Lee-Carter Method for Forecasting Mortality
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The Convergence of European Mortality in Both Sexes in the Near Future: A Spatio-Temporal Approach
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Initial conditions and moment restrictions in dynamic panel data models
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A Three-Stage Iterative Procedure for Space-Time Modeling
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Modeling County-Level Spatio-Temporal Mortality Rates Using Dynamic Linear Models
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The Human Mortality Database
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Statistical Rules-of-Thumb
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