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Binary quantile regression: a Bayesian approach based on the asymmetric Lapla...
This paper develops a Bayesian method for quantile regression for dichotomous response data. The frequentist approach to this type of regression has proven problematic in both... -
BAYESIAN MODEL SELECTION AND FORECASTING IN NONCAUSAL AUTOREGRESSIVE MODELS (...
In this paper, we propose a Bayesian estimation and forecasting procedure for noncausal autoregressive (AR) models. Specifically, we derive the joint posterior density of the... -
A RANK-ORDERED LOGIT MODEL WITH UNOBSERVED HETEROGENEITY IN RANKING CAPABILIT...
To study preferences, respondents to a survey are usually asked to select their most preferred option from a set. Preferences can be estimated more efficiently if respondents... -
FOSTERING EDUCATIONAL ENROLMENT THROUGH SUBSIDIES: THE ISSUE OF TIMING (repli...
The purpose of this paper is to build a dynamic structural model of educational choices in which cognitive skills shape decisions. The model is estimated by maximum likelihood... -
‘DUAL’ GRAVITY: USING SPATIAL ECONOMETRICS TO CONTROL FOR MULTILATERAL RESIST...
We derive a quantity-based structural gravity equation system in which both trade flows and error terms are cross-sectionally correlated. This system can be estimated using... -
WEIGHTED SMOOTH TRANSITION REGRESSIONS (replication data)
A new procedure is proposed for modelling nonlinearity of a smooth transition form, by allowing the transition variable to be a weighted function of lagged observations. This... -
Optimal monetary policy using an unrestricted VAR (replication data)
This paper proposes a simple benchmark for monetary policy. Assuming the true model of the economy is unknown, it is based on an unrestricted vector autoregression (VAR). The... -
A simple, flexible estimator for count and other ordered discrete data (repli...
This paper examines a flexible way to model empirically discrete data outcomes using hazard rate decompositions. It presents a general data-generating mechanism based on... -
Term structure surprises: the predictive content of curvature, level, and slo...
This paper analyzes the predictive content of the term structure components level, slope, and curvature within a dynamic factor model of macroeconomic and interest rate data.... -
Lose weight for a raise only if overweight: Marginal integration for semi-lin...
Some studies have shown that body mass index (BMI), weight (kg)/height (m)2, has a negative (or no) effect on wage. But BMI representing obesity is a tightly specified function... -
A blocking and regularization approach to high-dimensional realized covarianc...
We introduce a blocking and regularization approach to estimate high-dimensional covariances using high-frequency data. Assets are first grouped according to liquidity. Using... -
Probabilistic forecasting of output growth, inflation and the balance of trad...
We apply a global vector autoregressive (GVAR) model to the analysis of inflation, output growth and global imbalances among a group of 33 countries (26 regions). We account for... -
An identification-robust test for time-varying parameters in the dynamics of ...
We test for the presence of time-varying parameters (TVP) in the long-run dynamics of energy prices for oil, natural gas and coal, within a standard class of mean-reverting... -
Modelling dependence using skew t copulas: Bayesian inference and application...
We construct a copula from the skew t distribution of Sahu et al. (2003). This copula can capture asymmetric and extreme dependence between variables, and is one of the few... -
Nonparametric estimation of the impact of taxes on female labor supply (repli...
This paper proposes a simple extension of nonparametric estimation methods for nonlinear budget-set models derived in Blomquist and Newey (2002) to censored dependent variables.... -
Revealing the preferences of the US Federal Reserve (replication data)
We use Bayesian methods to estimate changes in US post-war monetary policy in the Smets and Wouters model. We perform the estimations by allowing for a break in monetary policy... -
Improved instrumental variables estimation of simultaneous equations under co...
In this paper we develop estimation techniques and a specification test for the validity of instrumental variables allowing for conditionally heteroskedastic disturbances. We... -
Estimation of nonlinear models with mismeasured regressors using marginal inf...
We consider the estimation of nonlinear models with mismeasured explanatory variables, when information on the marginal distribution of the true values of these variables is... -
Modelling heterogeneity and dynamics in the volatility of individual wages (r...
This paper presents a model for the heterogeneity and dynamics of the conditional mean and conditional variance of individual wages. A bias-corrected likelihood approach, which... -
The impact of reserve prices on the perceived bias of expert appraisals of fi...
We examine whether expert appraisals provided to bidders before major art auctions are unbiased indicators of value. Despite a strong grounding in theory, this aspect of optimal...
