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Central, Eastern, and Southeastern European insurance markets have garnered considerable research attention in recent years. Yet, that research has been constrained by a dearth of insurer‐level data. This paper highlights XPRIMM as a promising source of insurer data and uses this data set to provide an illustrative analysis of insurance prices in Central and Eastern Europe. We also discuss the limitations of XPRIMM data and efforts to overcome these limitations through the creation of a more comprehensive data set.

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China's nonlife insurance market is among the largest in the world and is ripe for policy-relevant research. The China Insurance Yearbook is well-positioned to support this study. The current essay provides an overview of the China Insurance Yearbook and includes graphical summaries of yearbook data. We discuss implications for the study of nonlife insurance in China and highlight new insights that might be gained from an analysis of yearbook data.

There is a rich literature that utilizes state, province, and other sub-regional data to evaluate the causes and effects of civil litigation. Yet, issues of spatial dependence are often neglected in this context. In the current study, we argue that civil litigation may be subject to spatial spill-overs, in which litigation in one region influences litigation in nearby regions. We then test for spatial effects using six years (2011-2016) of province-level data from China. Our results provide strong evidence of jurisdiction-level spillovers, even after controlling for spatially correlated regressors and shocks. Additionally, we find that ignoring spatial pro-cesses can lead to a systematic underestimation of the influence of civil litigation determinants.