Replication Data for: X Marks the Spot: Unlocking the Treasure of Spatial-X Models
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'In recent years, political scientists have made extensive use of spatial econometric models to test a wide range of theories. In a review of papers that have used these models, we find that a majority of these studies use the spatial autoregressive (SAR) model. Although this is a powerful method that reveals inferences about diffusion processes, it is also highly restrictive and makes assumptions that often are not appropriate given the expressed theories. We contend that spatial-X (SLX) models being a better reflection of typical theories about spatial processes. Our simulations demonstrate that SLX models consistently retrieve the direct and indirect effects of covariates when the true data-generating process reflects other spatial processes. We further elucidate the power of SLX models by demonstrating how they reveal  eterogeneity i' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["spatial models"]} <|eot_id|>
 Here is the Description of a dataset. Description:'In recent years, political scientists have made extensive use of spatial econometric models to test a wide range of theories. In a review of papers that have used these models, we find that a majority of these studies use the spatial autoregressive (SAR) model. Although this is a powerful method that reveals inferences about diffusion processes, it is also highly restrictive and makes assumptions that often are not appropriate given the expressed theories. We contend that spatial-X (SLX) models being a better reflection of typical theories about spatial processes. Our simulations demonstrate that SLX models consistently retrieve the direct and indirect effects of covariates when the true data-generating process reflects other spatial processes. We further elucidate the power of SLX models by demonstrating how they reveal  eterogeneity i' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
In recent years, political scientists have made extensive use of spatial econometric models to test a wide range of theories. In a review of papers that have used these models, we find that a majority of these studies use the spatial autoregressive (SAR) model. Although this is a powerful method that reveals inferences about diffusion processes, it is also highly restrictive and makes assumptions that often are not appropriate given the expressed theories. We contend that spatial-X (SLX) models being a better reflection of typical theories about spatial processes. Our simulations demonstrate that SLX models consistently retrieve the direct and indirect effects of covariates when the true data-generating process reflects other spatial processes. We further elucidate the power of SLX models by demonstrating how they reveal  eterogeneity i
spatial models