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Numerical distribution functions for unit root and cointegration tests (repli...
This paper employs response surface regressions based on simulation experiments to calculate distribution functions for some well-known unit root and cointegration test... -
Semiparametric estimation of a hedonic price function (replication data)
Previous work on the preferred specification of hedonic price models usually recommended a Box-Cox model. In this paper we note that any parametric model involves implicit... -
Applied cointegration analysis in the mirror of macroeconomic theory (replica...
Cointegration analyses of macroeconomic time series are often not based on fully specified theoretical models. We use a theoretical model to scrutinize common procedures in... -
Persistence of shocks on seasonal processes (replication data)
The paper addresses the issue of measuring the persistence of shocks on seasonally integrated processes observed at quarterly intervals. We show that the amplitude of the... -
The inconsistency of common scale estimators when output prices are unobserve...
This paper explores the inconsistency of common scale estimators when output is proxied by deflated sales, based on a common output deflator across firms. The problem arises... -
Credit rationing and threshold effects in the relation between money and outp...
The possibility that the effect of monetary policy on output may depend on whether credit conditions are tight or loose can be expressed as a non-linearity in the relation... -
Analytic derivatives and the computation of GARCH estimates (replication data)
In the context of univariate GARCH models we show how analytic first and second derivatives of the log-likelihood can be successfully employed for estimation purposes. Maximum... -
Computing median unbiased estimates in macroeconometric models (replication d...
A stochastic simulation procedure is proposed in this paper for obtaining median unbiased (MU) estimates in macroeconometric models. MU estimates are computed for lagged... -
On a double-threshold autoregressive heteroscedastic time series model (repli...
Tong's threshold models have been found useful in modelling nonlinearities in the conditional mean of a time series. The threshold model is extended to the so-called... -
Parametric and semi-parametric estimation of the binary response model of lab...
This paper compares the familiar probit model with three semiparametric estimators of binary response models in an application to labour market participation of married women.... -
The excess co-movement of commodity prices reconsidered (replication data)
This paper provides an empirical reconsideration of evidence for excess co-movement of commodity prices within the framework of univariate and multivariate GARCH(1, 1) models.... -
Incorporating monotonicity and concavity conditions in flexible functional fo...
Empirical economists using flexible functional forms often face the disturbing choice of drawing inferences from an approximation violating properties dictated by theory or... -
Money demand revisited: An operational subjective approach (replication data)
This paper proposes a method of data analysis founded on the philosophy and understanding of uncertain knowledge developed by Bruno de Finetti. Specifically, the paper... -
Parametric and semi-parametric modelling of vacation expenditures (replicatio...
We analyse several limited dependent variable models explaining the budget share that Dutch families spend on vacations. To take account of the substantial number of zero... -
Analysing inflation by the fractionally integrated ARFIMA-GARCH model (replic...
This paper considers the application of long-memory processes to describing inflation for ten countries. We implement a new procedure to obtain approximate maximum likelihood... -
A class of binary response models for grouped duration data (replication data)
This paper explores the relationship between conventional models for binary response such as the probit and logit, and the proportional hazard (PH) and related specifications... -
Forecasting exchange rates using feedforward and recurrent neural networks (r...
In this paper we investigate the out-of-sample forecasting ability of feedforward and recurrent neural networks based on empirical foreign exchange rate data. A two-step... -
Maximum likelihood estimation of a GARCH-stable model (replication data)
Maximum likelihood is used to estimate a generalized autoregressive conditional heteroskedastic (GARCH) process where the residuals have a conditional stable distribution... -
Spectral tests of the martingale hypothesis for exchange rates (replication d...
A new family of spectral shape tests was proposed recently by Durlauf (1991) for testing the martingale hypothesis. Unlike the widely used variance ratio test, spectral shape... -
A simple and efficient method for estimating the magnitude and precision of w...
In this article we propose a simple and efficient method of estimating welfare measures in an n-equation system. We also estimate the variance of these measures. The accuracy...
