Pressure on public finances has increased scrutiny of public support for innovation. We examine two particular issues. First, there have been many recent calls for the (relatively new) UK R&D subsidy to be extended to other “research” activities, such as software. Second, argument still...

This paper looks at the channels through which intangible assets affect productivity. The econometric analysis exploits a new dataset on intangible investment (INTAN-Invest) in conjunction with EUKLEMS productivity estimates for 10 EU member states from 1998 to 2007. We find that (a) the...

We (a) propose an implementable innovation index, (b) relate it to existing innovation definitions and (c) show whole-economy and industry-specific results for the UK market sector, 2000-2005. Our innovation measure starts by observing that we could get more GDP without innovation by simply...

We model the aid allocation decision where the donor government has announced that good governance is the criterion for receiving aid. Potential recipients must compete for the aid funds. The structure of the competition is important to the donor in terms of achieving good governance, and to the...

We present in this paper the panel econometrics estimation approach of measuring the technical change and total factor productivity (TFP) growth of 30 Chinese provinces during the period of 1993 to 2003. The random effects model with heteroscedastic variances has been used for the estimation of...

We apply a recently proposed method to disentangle unobserved heterogeneity from risk in returns to education. We replicate the original study on US men and extend to US women, UK men and German men. Most original results are not robust. A college education cannot universally be considered an...

We study the properties of two specification tests that have been applied to a variety of estimators in the context of value-added measures (VAMs) of teacher and school quality: the Hausman test for choosing between random and fixed effects and a test for feedback (sometimes called a...

There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical...

I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic, applications including supply and demand models and relate them to the recent applications in settings of randomized experiments with...

Forecasting errors pose a serious problem of identification, often neglected in empirical applications. Any attempt of estimating choice models under uncertainty may lead to severely biased results in the presence of forecasting errors even when individual expectations on future events are...