We suggest two nonparametric approaches, based on kernel methods and orthogonal series, respectively, to estimating regression functions in the presence of instrumental variables. For the first time in this class of problems we derive optimal convergence rates, and show that they are attained by...

The paper addresses the distinctiveness of migration flows in the post-Soviet space east of the European Union: the Commonwealth of Independent States (CIS) and Georgia. Population mobility within this region is hypothesized to differ from extra-regional population movements due to the common...

Since the 1990s, Moldova has relied on migration as a vent for labour oversupply and on inflows of migrant remittances as its main engine of economic growth. Labour migrants account for almost a quarter of the labour force and Moldova is one of the most remittance-dependent economies in the...

Assume we have a dataset, Z say, from the joint distribution of random variables X and Y , and two further, independent datasets, X and Y, from the marginal distributions of X and Y , respectively. We wish to combine X, Y and Z, so as to construct an estimator of the joint density. This problem...

This paper will present empirical evidence on the wider spatial-economic impacts of High Speed Trains (HSTs) at the intra-regional level. It represents follow-up research to a previous empirical study at inter-regional level, based on UKIC125- an upgraded HST system. The findings suggest that...

Port container trucking is currently one of the most challenging aspects of the love-hate relationship between ports and cities. This paper highlights important examples of emerging good practices at and around the marine port terminal. Hinterland connectivity and landside productivity are...

There is agreement within industrial organisation economics that an inverted U-shape relationship exists between the level of competition in an industry and the level of innovation in that industry. Thus, when consolidation changes the level of competition in an industry we might expect this to...

A major application of rescaled adjusted range analysis (RS analysis) is the study of price fluctuations in financial markets. There, the value of the Hurst constant, H, in a time series may be interpreted as an indicator of the irregularity of the price of a commodity, currency or similar...

Standard approaches to constructing nonparametric confidence bands for functions are frustrated by the impact of bias, which generally is not estimated consistently when using the bootstrap and conventionally smoothed function estimators. To overcome this problem, it is common practice to either...

Standard approaches to constructing nonparametric confidence bands for functions are frustrated by the impact of bias, which generally is not estimated consistently when using the bootstrap and conventionally smoothed function estimators. To overcome this problem it is common practice to either...