This paper presents two new tools for the identification of faking interviewers in surveys. One method is based on Benford?s Law, and the other exploits the empirical observation that fakers most often produce answers with less variability than could be expected from the whole survey. We focus...

In this paper we measure the speed at which firms adjust to demand shocks using individual firm data. Identification of shocks is achieved by a combination of quantitative and qualitative judgments on capacity utilisation in micro survey data. A novel feature of our approach is the distinction...

Numerous research papers have used Irish-only data to test for the presence of an investment gap for small- and medium-sized enterprises (SMEs). In this paper, we use cross country firm-level survey data from the World Bank Enterprise Surveys to explore the investment patterns of Irish SMEs in a...

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

This study aims to measure the impact of governance indicators on corruption in Arab countries during the period 2005-2016. Several techniques including co-integration, forecasting variance error decomposition, and impulse response function are employed. The results indicate that corruption is...

This paper derives a universal approximation result for theminimum fuzzy implication rule as well as a differentiable substitute function that allows fast optimization and function approximation with neuro-fuzzy networks.

This paper proposes a new framework for analyzing the effects of sequences of treatments with duration outcomes. Applications include sequences of active labor market policies assigned at specific unemployment durations and sequences of medical treatments. We consider evaluation under...

Different segments of a population affected by the same policy intervention may have different responses. We study the role of equilibrium effects on explaining these differences. Our case study is the government's extension of guarantees during the Great Recession to certain debt issuers. We...

This paper presents a method of calculating sharp bounds on the average treatment effect using linear programming under identifying assumptions commonly used in the literature. This new method provides a sensitivity analysis of the identifying assumptions and missing data in an application...

Classical regression analysis uses partial coefficients to measure the influences of some variables (regressors) on another variable (regressand). However, a descriptive point of view shows that these coefficients are very bad measures of influence. Their interpretation as an average change of...