This paper examines how information on the purchasing patterns of different customer segments can be used to more accurately evaluate the economic impact of mergers. Using a detailed dataset for the leading manufacturers in the US during the late nineties, I evaluate the welfare effects of the...

A large literature examines government fiscal interactions in federations. However, the empirical evidence is scattered and inconclusive, especially with respect to the size of interactions, as well as the institutional and economic determinants underpinning them. This paper uses meta-regression...

The economics literature has traditionally advocated that “governments compete”, and hence one should expect non-negligible fiscal interactions between and among different levels of government. This paper uses meta-regression analysis to quantify the size of inter-jurisdictional fiscal...

We investigate urban GDP per capita growth across the EU12 using data for functionally defined cities—rather than administrative regions. We test hypotheses on the role of human capital, EU integration and fragmentation of urban government and explore spatial dependence and mechanisms 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...

We establish valid theoretical and empirical Edgeworth expansions for density-weighted averaged derivative estimates of semiparametric index models.

In a panel data model with fixed effects, possible cross-sectional dependence is investigated in a spatial autoregressive setting. An Edgeworth expansion is developed for the maximum likelihood estimate of the spatial correlation coefficient. The expansion is used to develop more accurate...