We exploit a natural experiment provided by the 1990 introduction of the UK National Minimum Wage (NMW) to investigate the relationship between wages and monitoring and to test for Efficiency Wages considerations in a low-wage sector, the UK residential care homes industry. Our findings seem to...

A century has passed since the first call for a British national minimum wage (NMW). That remarkable Fabian tract discussed wage setting, coverage, monopsony, international labour standards, inspection and compliance and the interaction between the NMW and the social security system. The NMW was...

Research suggests that, at the levels set in countries like the US and the UK, minimum wages have little effect on employment but do have impacts on wage inequality. However we lack models that can explain these facts – this paper presents one based on imperfect labour markets. The paper also...

We provide a general class of tests for correlation in time series, spatial, spatiotemporal and cross-sectional data. We motivate our focus by reviewing how computational and theoretical difficulties of point estimation mount as one moves from regularly-spaced time series data, through forms of...

This paper investigates whether the geographic distribution of manufacturing activities depends on the size of plants. Using Italian data, we find, as in Kim [Kim, S., 1995. Expansion of markets and the geographic concentration of economic activities: the trends in U.S. regional manufacturing...

In order to value non-market goods, economists estimate individuals’ willingness to pay (WTP) for these goods using revealed or stated preference methods. We compare these conventional approaches with subjective well-being (SWB), which is based on individuals’ ratings of their happiness or...

This paper uses a difference-in-difference style estimation strategy to test separately the impact of competition from public sector and private sector hospitals on the efficiency of public hospitals. Our identification strategy takes advantage of the phased introduction of a recent set of...

Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing nonstochastic explanatory variables and innovations suspected to be non-normal. The main stress is on the case of distribution of unknown, nonparametric, form, where series...