The rapid development of the Internet of Things (IoT) accumulates a large number of
communication records, which are utilized for anomaly detection in IoT communication …

The aim is to optimise the procedures and reduce the workload of human resource
management (HRM), thereby increasing the working efficiency and improving system …

In finite samples, the use of a slightly endogenous but highly relevant instrument can reduce
mean-squared error (MSE). Building on this observation, I propose a novel moment …

Social interactions determine many economic behaviours, but information on social ties
does not exist in most publicly available and widely used datasets. We present results on the …

A common approach to constructing a Synthetic Control unit is to fit on the outcome variable
and covariates in pre-treatment time periods, but it has been shown by Ferman and Pinto …

There has been a growing interest in incorporating auxiliary summary information from
external studies into the analysis of internal individual‐level data. In this paper, we propose …

This paper offers an empirical analysis of how public and private debt jointly influence
economic growth. We consider the endogeneity and interlink of two debt variables which are …

This paper proposes a desparsified GMM estimator for estimating high-dimensional
regression models allowing for, but not requiring, many more endogenous regressors than …

High-dimensional linear models with endogenous variables play an increasingly important
role in the recent econometric literature. In this work, we allow for models with many …

Instrumental variable methods are among the most commonly used causal inference
approaches to deal with unmeasured confounders in observational studies. The presence of …