We examine the scope and value of targeted advertising in the magazine industry. We use data on reader characteristics at individual media, in contrast to previous work that has needed to infer this information from aggregate data. Our results show a strong relationship between subscriber...

Peer influence through word-of-mouth (WOM) plays an important role in many information systems but identification of causal effects is challenging. We identify causal WOM effects in the empirical setting of game adoption in a social network for gamers by exploiting differences in individuals'...

The political discussion on energy efficiency is focusing more and more on the building sector due to its susceptibility to potential market failures like the negative external pollution effects of CO2 emission. Using a discrete choice approach, this paper aims at deriving factors which increase...

Residential buildings strongly contribute to global CO2 emissions due to the high energy demand for electricity and heating, particularly in industrialised countries. Within the EU, decentralised heat generation is of particular relevance for future climate policy, as its emissions are not...

The availability of quantity information along with expenditure information in some household surveys allows the estimation of price reactions on the basis of unit values. We compare two specifications that have been proposed in this context by Deaton (1990) and Crawford et al. (1997) in order...

Motorized individual transport strongly contributes to global CO2 emissions, due to its intensive usage of fossil fuels. Current political efforts addressing this issue (i.e. emission performance standards in the EU) are directed towards car manufacturers. This paper focuses on the demand side....

Based on a rich panel of household data, we investigate the determinants of the use of consumer credit in Germany. We find that the usage frequency of an easily accessible, but relatively expensive source of consumer credit decreases with financial literacy but is unrelated to household income....

In this paper, we identify key drivers and barriers for the adoption of building energy retrofits in Germany, which is promoted by public policy as an important measure to address the future challenges of climate change and energy security. We analyze data from a 2009 survey of more than 400...

In this paper we use Bayes estimates of a multinomial probit model with fully flexible substitution patterns to forecast consumer response to ultra-low-emission vehicles. In this empirical application of the probit Gibbs sampler, we use stated-preference data on vehicle choice from a...

Previous literature on the distribution of willingness to pay has focused on its heterogeneity distribution without addressing exact interval estimation. In this paper we derive and analyze Bayesian confidence sets for quantifying uncertainty in the determination of willingness to pay for carbon...