Using firm-level survey data for the West German manufacturing sector, this paper revisits the technology-driven business cycle hypothesis for the case of aggregate investment. We construct a survey-based measure of technology shocks to gauge their contribution to short-run investment...

We analyze the impact of international R&D spillovers on recipient countries in terms of social and private returns. We divide the aggregate R&D stock by the business, government and education sectors and examine the impact on Total Factor Productivity. We endogenize the accrual of the R&D...

We study whether technology gains in sectors related to Information and Communications Technology (ICT) increase productivity in the rest of the economy. To separate exogenous gains in ICT from other technological progress, we use the relative price of ICT goods and services in a structural VAR...

We study whether technology gains in sectors related to Information and Communications Technology (ICT) increase productivity in the rest of the economy. To separate exogenous gains in ICT from other technological progress, we use the relative price of ICT goods and services in a structural VAR...

We examine partisan bias in inflation expectations. Our dataset includes inflation expectations of the New York Fed’s Survey of Consumer Expectations over the period June 2013 to June 2018. The results show that inflation expectations were 0.46 percentage points higher in Republican-dominated...

We examine partisan bias in inflation expectations. Our dataset includes inflation expectations of the New York Fed's Survey of Consumer Expectations over the period June 2013 to June 2018. The results show that inflation expectations were 0.46 percentage points higher in Republican-dominated...

This paper provides a new comparative analysis of pooled least squares and fixed effects estimators of the slope coefficients in the case of panel data models when the time dimension (T) is fixed while the cross section dimension (N) is allowed to increase without bounds. The individual effects...

This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...

This paper explores the properties of pre-test strategies in estimating a linear Cliff-Ord-type spatial model when the researcher is unsure about the nature of the spatial dependence. More specifically, the paper explores the finite sample properties of the pre-test estimators introduced in...

We propose a novel method of Mean-Capital Requirement portfolio optimization. The optimization is performed using a parallel framework for optimization based on the Nondominated Sorting Genetic Algorithm II. Capital requirements for market risk include an additional stress component introduced...