We propose a framework for causal inference using factor models. We base our identification strategy on the assumption that policy interventions cause structural breaks in the factor loadings for the treated units. The method allows heterogeneous trends and is easy to implement. We compare our...

The paper solves an applied problem: at a specific object of observation, the scientific school of Omsk State University named after P. A. Stolypin "Problems of infrastructural development of the agro-industrial complex of the Siberian region", to consider the prospects of the university in the...

This research focuses on examining why young social media users might become trapped in a "social bubble" defined as seeking information that supports only one’s existing beliefs. We use a method called Qualitative Comparative Analysis to identify various combinations of factors that either...

This research aims to elucidate the organizational patterns of interregional economic interdependence to enhance our comprehension of the national economy's structure at a regional scale. Employing a multilayer network model, this study represents economic interdependence among Indonesian...

In this paper, I argue that in situations of complex network dependence, the traditional and widely used Hausman-style instrumental variable estimation may not be valid for causal identification. This is the case for inter-regional migration networks when evaluating place-based labor market...

We study how extreme (high) temperatures affect firm dynamics---entry, exit, and aggregate productivity---in Chinese manufacturing sectors. Existing studies focus on the effects on incumbent firms (intensive margin), while we examine the effects on entry and exit (extensive margin), and their...

Input-output linkages among sectors and firms are largely overlooked when assessing regulatory policies. Using a carbon emissions regulation in China as an example, we find that the regulation facilitates the transition to green technologies and reduces entry and carbon emissions in the...

While numerous studies have explored variations in ethnic divisions and corruption outcomes at the macro level, few studies examine whether individual corruption experiences at the micro level vary systematically depending on ethnic group affiliation, particularly when accounting for...

In various policy institutions, current estimates of quarterly GDP growth are frequently employed to advise decision makers on the current state of the economy. The bridge equation serves as a fundamental model for nowcasting, elucidating GDP growth through the utilization of time-aggregated...

We propose a portfolio construction method that accounts for the regime-dependent behavior of stocks, thereby impacting their expected returns. Using a hidden Markov model (HMM) and a regime-weighted least-squares approach, we estimate forward-looking regime-conditional factors. These factors...