This paper takes the Asian crisis as an example to show that the Autoregressive Conditional Hazard (ACH) model is a powerful tool for studying the time series features of speculative attacks. The ACH model proposes a duration variable to capture the changes in the frequency of attacks, which...

The worst of the global financial crisis is behind us, but the trajectory to recovery varies widely across economies. Employing a dynamic structural multi-country model with a financial accelerator, this paper studies the roles of two important policy actions in economic recovery: fiscal...

This paper provides firm-level evidence that credit constraints restrict international trade flows and affect the sectoral pattern of multinational activity. Using detailed customs data from China, we show that foreign affiliates and joint ventures have better export performance than private...

type="main" xml:id="rssc12050-abs-0001" <title type="main">Summary</title> <p>A major issue in non-inferiority trials is the controversial assumption of constancy, namely that the active control has the same effect relative to placebo as in previous studies comparing the active control with placebo. The constancy assumption...</p>

This paper studies the effects of the fiscal-stimulus package in Mainland China on its output and employment. Using the input-output table as the analytical framework, we argue that the aggregate effect on output and employment of a given amount of fiscal spending depends on the distribution of...

Latent class models with crossed subject-specific and test(rater)-specific random effects have been proposed to estimate the diagnostic accuracy (sensitivity and specificity) of a group of binary tests or binary ratings. However, the computation of these models are hindered by their complicated...

Community detection in the social networks is one of the most important tasks of social computing. Highly relevant researches indicate that the social network generally contains both an overlapping and hierarchical structure. This paper introduces an efficient and functional community detection...