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农业生产动态与热量摄入—收入关系：来自巴基斯坦的证据AI 解读

Panel data on farm households from rural Pakistan are used to estimate the calorie response to different components of income in an analysis that takes into account the sequential nature of agricultural production, labor and capital market imperfections, heterogeneity, and productivity effects of calories. The estimates indicate that the income-calorie relationship depends importantly on production stage, the form of income, the liquidity of assets, and the extent to which…

健康的社会经济不平等：度量、计算与统计推断AI 解读

This paper clarifies the relationship between two widely used indices of health inequality and explains why these are superior to others indices used in the literature. It also develops asymptotic estimators for their variances and clarifies the role that demographic standardization plays in the analysis of socioeconomic inequalities in health. Empirical illustrations are presented for Dutch health survey data.

医疗技术的边际成本效果：面板工具变量方法AI 解读

We use panel instrumental variables techniques to estimate incremental mortality and cost effects of intensive procedures for treating heart attacks among the elderly. We identify incremental effects by comparing trends in procedure use, hospital costs, and mortality between hospitals that adopted intensive technologies to corresponding trends at nonadopting hospitals. We formalize the identification assumptions required for ‘difference-in-differences’ estimation and present…

非线性与混沌检验的单盲受控竞赛AI 解读

Interest has been growing in testing for nonlinearity or chaos in economic data, but much controversy has arisen about the available results. This paper explores the reasons for these empirical difficulties. We designed and ran a single-blind controlled competition among five highly regarded tests for nonlinearity or chaos with ten simulated data series. The data generating mechanisms include linear processes, chaotic recursions, and nonchaotic stochastic processes; and both…

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季节单位根与季节均值变动的贝叶斯分析AI 解读

In this paper we propose a Bayesian analysis of seasonal unit roots in quarterly observed time series. Seasonal unit root processes are useful to describe economic series with changing seasonal fluctuations. A natural alternative model for similar purposes contains deterministic seasonal mean shifts instead of seasonal stochastic trends. This leads to analysing seasonal unit roots in the presence of mean shifts using Bayesian techniques. Our method is illustrated using…

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