This paper extends Meenagh and Minford (2021) to the four waves of infection in the UK by end-2021, using the unique newly available sample-based estimates of infections created by the ONS. These allow us to estimate the e§ects on the Covid hospitalisation and fatality rates of vaccination and...

The credibility of standard instrumental variables assumptions is often under dispute. This paper imposes weak monotonicity in order to gain information on counterfactual outcomes, but avoids independence or exclusion restrictions. The outcome process is assumed to be sequentially ordered,...

This paper explores semi-monotonicity constraints in the distribution of potential outcomes, first, conditional on an instrument, and second, in terms of the response function. The imposed assumptions are strictly weaker than traditional instrumental variables assumptions and can be gainfully...

We evaluate the effectiveness of placing microchips on the bags for the curbside collection in reducing the unsorted urban solid waste and increasing the fraction recycled. The microchip allows the waste collection company to identify the users that left the bags on the curb and check whether...

Florian Dorn prepared this study during his doctoral studies at the Ludwig-Maximilians University of Munich (LMU). The study was completed in September 2020 and accepted as doctoral thesis by the Department of Economics. This dissertation contributes to the empirics of public economics and...

We provide evidence of a positive effect of major infrastructure development on international trade, using the opening of the fixed link between Denmark and Sweden in 2000 (The Oresund Bridge) as a quasi-natural experiment. Our Synthetic Control Method (SCM) constructs a counterfactual...

This study aims to investigate the effectiveness of car scrappage schemes implemented in the European Union (EU) during the economic crisis of 2009. The study uses a synthetic control variable and a difference-in-differences method to evaluate these policies. Using monthly data on new passenger...

This paper investigates the impact of tourism policy on employment, using the Tourism Development Policy (TDP) implemented in the Argentinean province of Salta during the years of 2003 to 2010 as a case study. Following the Synthetic Control Method for comparative case studies, we use a...

With the advent of big data in economics machine learning algorithms become more and more appealing to economists. Despite some attempts of establishing artificial neural networks in in the early 1990s, only little is known about their ability of estimating causal effects in policy evaluation....

Background: Across the member countries of the Organisation for Economic Co-operation and Development (OECD), pay-for-performance (P4P) programs have been implemented in the inpatient sector to improve the quality of care provided by hospitals. However, little is known about whether such...