Showing 1 - 10 of 56
This paper introduces a new class of parameter estimators for dynamic models, called Simulated Nonparametric Estimators (SNE). The SNE minimizes appropriate distances between nonparametric joint (or conditional) densities estimated from sample data and nonparametric joint (or conditional)...
Persistent link: https://www.econbiz.de/10010745257
This paper introduces a new parameter estimator of dynamic models in which the state is a multidimensional, continuous-time, partially observed Markov process. The estimator minimizes appropriate distances between nonparametric joint (and/or conditional) densities of sample data and...
Persistent link: https://www.econbiz.de/10010745606
This paper uses recently developed methods for estimating dynamic heterogeneous cointegrated panel data models - which allows for heterogeneity in parameters and dynamics across agents - to study housing wealth effects in a dynamic model of the 50 US states and the District of Columbia from the...
Persistent link: https://www.econbiz.de/10011071164
This paper models uctuations in regional disaggregates as a nonsta- tionary, dynamically evolving distribution. Doing so enables study of the dynamics of aggregate uctuations jointly with those of the rich cross-section of regional disaggregates. For the US, the leading state| regardless of...
Persistent link: https://www.econbiz.de/10010928698
Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specific components and allows also for cross-sectional and temporal dependence and conditional heteroscedasticity. A simple nonparametric...
Persistent link: https://www.econbiz.de/10011268330
An asymptotic theory is developed for nonparametric and semiparametric series estimation under general cross-sectional dependence and heterogeneity. A uniform rate of consistency, asymptotic normality, and sufficient conditions for convergence, are established, and a data-driven studentization...
Persistent link: https://www.econbiz.de/10011126210
Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specifi…c components and allows also for cross-sectional and temporal dependence and conditional heteroscedasticity. A simple nonparametric...
Persistent link: https://www.econbiz.de/10011126728
Most financial risk regulations assume that asset returns are exogenous, where risk is estimated from historical data. This assumption fails to take into account the feedback effect of trading decisions on prices. We investigate the consequences of risk constrained trading by means of...
Persistent link: https://www.econbiz.de/10011126542
The paper proposes a simple test for the hypothesis of strong cycles and as a by-product a test for weak dependence for linear processes. We show that the limit distribution of the test is the maximum of a (semi)Gaussian process G(τ), τ ∈ [0; 1]. Because the covariance structure of G(τ) is a...
Persistent link: https://www.econbiz.de/10011071202
The paper analyzes the existence and impact of …nancing constraints as a possibly serious obstacle to innovation by …rms. Direct measures of …nancing constraints are employed using survey data collected by the Banque de France and Eurostat, which overcomes the problems with the traditional...
Persistent link: https://www.econbiz.de/10011071226