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This paper aims to examine the effects of marginal and general wage subsidies on employment and income distribution.

The paper constructs a theoretical, partial‐equilibrium model of an economy in which a large number of competitive firms produce a homogeneous output good. Involuntary unemployment arises from a too high and rigid wage. By conducting comparative static analyses, the paper evaluates the impact of general and marginal wage subsidies on employment and incomes.

The paper shows that a marginal wage subsidy is a fiscally more efficient instrument for employment creation than a general wage subsidy because it resembles a combination of a general wage subsidy with a profit tax. These favorable effects persist even if between‐firm displacement effects are taken into account.

In line with most of the literature on marginal employment subsidies, attention is restricted to a partial‐equilibrium analysis in which the wage is assumed to be fixed. This helps to sharpen the focus on between‐firm competition, but is perhaps implausible when analyzing a general‐equilibrium setting. The inclusion of endogenous wage setting is bound to provide an interesting area for future research.

If politicians want to implement a wage subsidy scheme that has to be self‐financing, marginal wage subsidies are an effective policy instrument for employment creation. Its downside is an inefficient allocation of labor among firms, because some firms become larger than is necessary.

The paper provides a novel approach to model the between‐firm displacement effects of marginal wage subsidies and derives policy conclusions.

The purpose of this paper is to explore the differences (if any) between serial and hard-to-solve one-off homicides, and to determine if it is possible to distinguish the two types of homicides based on offence behaviours and victim characteristics.

A sample of 116 Italian serial homicides was compared to 45 hard-to-solve one-off homicides. Hard-to-solve one-off homicides were defined as having at least 72 hours pass between when the offence came to the knowledge of the police and when the offender was caught. Logistic regression was used to predict whether a killing was part of a series or a one-off offence.

The serial killers targeted more strangers and prostitutes, displayed a higher level of forensic awareness both before and after the killing, and had more often an apparent sexual element in their offence. Conversely, the one-off homicides were found to include more traits indicative of impulsive and expressive behaviour. The model demonstrated a good ability (AUC=0.88) to predict whether a homicide belonged to the serial or one-off category.

The findings should be replicated using local homicide data to maximise the validity of the model in countries outside of Italy.

Being able to distinguish between serial and one-off homicides based on information available at a new crime scene could be practically useful for homicide investigators managing finite resources.

Studies comparing serial homicides to one-off homicides are scarce, and there are no studies explicitly trying to predict whether a homicide is an isolated case or part of a series.