In this paper we clarify the relations between the existing sets of regularity conditions for convergence rates of nonparametric indirect regression (NPIR) and nonparametric instrumental variables (NPIV) regression models. ...

We give a brief introduction to the vector autoregressive model for cointegrated I(2) variables and show how some plausible economic relations can be formulated in the I(2) framework in such a way that likelihood ratio ...

Improving water productivity depends on how local communal water and grazing resources are governed. This involves institutional and organizational issues. In the mixed farming systems of the Amhara Regional State, Ethiopia, ...

Most policymakers and academics predicted that the European monetary union would lead to economic and institutional modernizaon in its least productive members – Greece, Ireland, Italy, Portugal and Spain. In fact, apart ...

The First World War radically altered the political landscape of Central Europe. The new borders after 1918 are typically viewed as detrimental to the region's economic integration and development. We argue that this view ...

This article explores the pattern of land rents and agricultural productivity across nineteenth-century Prussia to gain new insights on the causes of the “Little Divergence” between European regions. We argue that agriculture ...

We analyze the profitability of government-owned banks’ lending to their owners, using a unique data set of relatively homogeneous government-owned banks; the banks are all owned by similarly structured local governments ...

Bayesian learning claims that the strength of the price impact of unanticipated information depends on the relative precision of traders' prior and posterior beliefs. In this paper, we test for this implication of Bayesian ...

We examine the geography of cotton textiles in Britain in 1838 to test claims about why the industry came to be so heavily concentrated in Lancashire. Our analysis considers both first and second nature aspects of geography ...

It is argued that standard impulse response analysis based on vector autoregressive models has a number of shortcomings. Although the impulse responses are estimated quantities, measures for sampling variability such as ...