This paper provides analytic guides to recent literature on China’s macroeconomic development, emphasizing the critical role of the gradualist reform approach. Our analysis suggests that from 1978 to 1997, the gradualist approach contributed to China’s aggregate total factor productivity and economic growth primarily through policies that facilitated the reallocation of surplus labor from agriculture to nonagricultural sectors. Since 1998, the government’s focus shifted, with various reforms encouraging large enterprises, whether state owned or privately owned, to enter capital-intensive sectors, making capital deepening the main driver of economic growth. While this strategy sustained China’s GDP growth, it also increased trade tensions with global partners, created barriers to transitioning to a consumption-led economy, and threatened China’s long-term financial stability, casting long shadows over the Chinese economy.

Measurement errors in economic data are pervasive and nontrivial in size. The presence of measurement errors causes biased and inconsistent parameter estimates and leads to erroneous conclusions to various degrees in economic analysis. While linear errors-in-variables models are usually handled with well-known instrumental variable methods, this article provides an overview of recent research papers that derive estimation methods that provide consistent estimates for nonlinear models with measurement errors. We review models with both classical and nonclassical measurement errors, and with misclassification of discrete variables. For each of the methods surveyed, we describe the key ideas for identification and estimation, and discuss its application whenever it is currently available.