We estimate the eff ect of the Dutch-German border on house prices. In the last 40 years the development of house prices in the Netherlands and Germany has been substantially diff erent. While the Netherlands have been hit by two real estate cycles, prices in Germany have been extraordinary stable. We develop a model for studying house prices and the impact of the border. Then we study the deve...

In this paper I develop an empirical framework to estimate the role of agglomeration externalities, especially those stemming from input-output linkages, in the location process of US manufacturing plants. Furthermore, drawing on the model of Holmes and Stevens (2004b), I propose a way to reconciliate some previous puzzling results about proximity to consumers’ demand and the scope of agglomera...

Racial gaps in homeownership over the past century in the United States have profound implications for black-white gaps in wealth, health, education, and public goods. Closely related to these gaps are patterns of residential sorting on the basis of race. We use new county-level segregation estimates for the period of 1880 to 1940 combined with homeownership data from the federal census to docu...

Fluctuations in housing prices are relevant to wealth accumulation, labor mobility, consumption, macroeconomic volatility, and financial market stability. However, it is ex ante difficult to know when housing price movements are due to fundamentals, such as changes in the user cost of capital, versus irrational exuberance. I propose combining the canonical urban economics Alonso-Muth-Mills mode...

Autoantibodies that bind DNA are a hallmark of systemic lupus erythematosus. A subset of autoantibody*DNA complexes localize to kidney tissue and lead to damage and even death. 11F8, 9F11, and 15B10 are clonally related anti-DNA autoantibodies isolated from an autoimmune mouse. 11F8 binds ssDNA in a sequence-specific manner and causes tissue damage, while 9F11 and 15B10 bind ssDNA non-specifica...

The main objective of this work is to automatically design neural network models with sigmoid basis units for binary classification tasks. The classifiers that are obtained achieve a double objective: a high classification level in the dataset and a high classification level for each class. We present MPENSGA2, a Memetic Pareto Evolutionary approach based on the NSGA2 multiobjective evolutionar...

associated with olmesartan. Aliment Pharmacol Ther. 2014;40:16–23. 4. DeGaetani M, Tennyson CA, Lebwohl B, Lewis SK, Abu Daya H, Arguelles-Grande C, et al. Villous atrophy and negative celiac serology: a diagnostic and therapeutic dilemma. Am J Gastroenterol. 2013;108:647–53. 5. Ulla-Rocha JL, Lopez-Pineiro S, Puga-Gimenez M. Acute renal failure secondary to diarrhea due to sprue like-enteropat...

Do indexes of house prices behave differently depending on the estimation method? If so, to what extent? To address these questions, we use a unique dataset that we compiled from individual listings in a widely circulated real estate advertisement magazine. The dataset contains more than 470,000 listings of housing prices between 1986 and 2008, including the period of the housing bubble and its...

Microorganisms able to degrade hydrocarbon pollutants (gasoline, and other petroleum derivatives) have been isolated from two contaminated areas (Sândominic and Bălan) by enrichment technique. The hydrocarbon degradative capacity of contaminated sites were determined using “Biometer flasks” (respiratory CO2 production measurement). Total counts and hydrocarbon degrading counts were determined u...

We implement several Bayesian and classical models to forecast employment for eight sectors of the US economy. In addition to standard vector-autoregressive and Bayesian vector autoregressive models, we also include the information content of 143 additional monthly series in some models. Several approaches exist for incorporating information from a large number of series. We consider two approa...