An electronic limit order book is resilient when it reverts to its normal shape promptly after large trades. This paper suggests a continuous-time impulse response function based on intensities, which formalizes resiliency in terms of a timeframe and probability of order book replenishment. This is then estimated for trading on an LSE order book, using an appropriate parametric model which view...

This paper estimates ordered logit and probit regression models for bank ratings which also include a country index to capture country-specific variation. The empirical findings provide support to the hypothesis that the individual international bank ratings assigned by Fitch Ratings are underpinned by fundamental quantitative financial analyses. Also, there is strong evidence of a country effe...

This paper estimates a simple structural model of monetary policy in the UK for 1963-2000, focusing on the policy of inflation targeting introduced in 1992. Our main findings are: i) the adoption of inflation targets led to significant changes in monetary policy giving greater weight to inflation; (ii) monetary policy post-1992 is asymmetric as policy makers respond more to upward deviation of ...

The objective of this study is to compare alternative computerized model-selection strategies in the context of the vector autoregressive (VAR) modeling framework. The focus is on a comparison of subset modeling strategies with the general-to-specific reduction approach automated by PcGets. Different measures of the possible gains of model selection are considered: (i) the chances of finding th...

We propose a spatial quantile autoregression (SQAR) model, which allows cross-sectional dependence among the responses, unknown heteroscedasticity in the disturbances, and heterogeneous impacts of covariates on different points (quantiles) of a response distribution. The instrumental variable quantile regression (IVQR) method of Chernozhukov and Hansen (2006) is generalized to allow the data to...

We use noncausal autoregressions to examine the persistence properties of quarterly U.S. consumer price inflation from 1970:1—2012:2. These nonlinear models capture the autocorrelation structure of the inflation series as accurately as their conventional causal counterparts, but they allow for persistence to depend on the size and sign of shocks to inflation as well as the inflation rate. Infla...

We study situations in which autoregressive models are estimated on time series that contain switches in the data generating parameters and these switches are not accounted for. The geometry of this estimation problem causes estimated vector autoregressive models to display a unit eigenvalue, and the sum of the estimated autoregressive parameters of ARMA and GARCH models to be close to one. Thi...

This paper uses the 1998-99 Canadian National Population Health Survey (NPHS) data to examine the health-income relationship that underlies the absolute income hypothesis. To allow for nonlinearity and data heterogeneity, we use a partially linear semiparametric quantile regression model. Among more than dozen of socioeconomic variables, we find that family income, age and the food security sta...

This paper proposes a method to estimate price sensitivity of economic agents using nonlinear contracts. Our proposed estimator exploits discontinuity in nonlinear contracts. As an application, we study contracts between a managed care organization and hospitals for organ transplants. Exploiting “donut holes”in the reimbursement contracts, we show that hospitals submit signi…cantly larger bills...

A test strategy consisting of a two-step application of a Lagrange Multiplier test was recently suggested as a device to reveal spatial nonstationarity, spurious spatial regression and spatial cointegration. The present paper generalises the test procedure by incorporating control for biased test values emerging from unobserved heteroscedasticity. Using Monte Carlo simulation, the behaviour of ...