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Learning, forecasting and structural breaks (replication data)
We provide a general methodology for forecasting in the presence of structural breaks induced by unpredictable changes to model parameters. Bayesian methods of learning and... -
Bayes estimates of distance-to-market: transactions costs, cooperatives and m...
Rationalizing non-participation as a resource deficiency in the household, this paper identifies strategies for milk-market development in the Ethiopian highlands. The... -
Modes, weighted modes, and calibrated modes: evidence of clustering using mod...
We apply recent results from the statistics literature to test for multimodality of worldwide distributions of several (unweighted and population-weighted) measures of labor... -
Jumps in cross-sectional rank and expected returns: a mixture model (replicat...
We propose a new nonlinear time series model of expected returns based on the dynamics of the cross-sectional rank of realized returns. We model the joint dynamics of a sharp... -
Are output growth-rate distributions fat-tailed? some evidence from OECD coun...
This work explores some distributional properties of aggregate output growth-rate time series. We show that, in the majority of OECD countries, output growth-rate distributions... -
A nonparametric decomposition of the Mexican American average wage gap (repli...
This paper shows that average wage gap decompositions between any two groups of workers can be carried out using nonparametric wage structures. It also proposes an algorithm to... -
An alternative approach to estimate the wage returns to private-sector traini...
This paper follows an alternative approach to identify the wage effects of private-sector training. The idea is to narrow down the comparison group by only taking into... -
Comparing smooth transition and Markov switching autoregressive models of US ...
Logistic smooth transition and Markov switching autoregressive models of a logistic transform of the monthly US unemployment rate are estimated by Markov chain Monte Carlo... -
The estimation of utility-consistent labor supply models by means of simulate...
We consider a utility-consistent static labor supply model with flexible preferences and a nonlinear and possibly non-convex budget set. Stochastic error terms are introduced to... -
Testing for country heterogeneity in growth models using a finite mixture app...
We define a bivariate mixture model to test whether economic growth can be considered exogenous in the Solovian sense. For this purpose, the multivariate mixture approach... -
Learning and fatigue during choice experiments: a comparison of online and ma...
This study investigates the effect of survey mode on respondent learning and fatigue during repeated choice experiments. Stated preference data are obtained from an experiment... -
Inferring disability status from corrupt data (replication data)
In light of widespread concerns about the reliability of self-reported disability, we investigate what can be learned about the prevalence of work disability under various... -
From temporary help jobs to permanent employment: what can we learn from matc...
The diffusion of temporary work agency (TWA) jobs has led to a harsh policy debate and ambiguous empirical evidence. Results for the USA, based on quasi-experimental evidence,... -
Sequential numerical integration in nonlinear state space models for microeco...
This paper discusses the estimation of a class of nonlinear state space models including nonlinear panel data models with autoregressive error components. A health economics... -
A bounds analysis of school completion rates in Australia (replication data)
Official estimates of school completion rates in Australia increased in the 1980s, peaked in 1992, and fell immediately thereafter before stabilizing. The official estimates... -
Panel cointegration tests of the Fisher effect (replication data)
Most empirical evidence suggests that the Fisher effect, stating that inflation and nominal interest rates should cointegrate with a unit slope on inflation, does not hold, a... -
Using the variance structure of the conditional autoregressive spatial specif...
This study investigates the pattern of knowledge spillovers arising from patent activity between European regions. A Bayesian hierarchical model is developed that specifies... -
The effect of seasonal adjustment on the properties of business cycle regimes...
We study the impact of seasonal adjustment on the properties of business cycle expansion and recession regimes using analytical, simulation and empirical methods. Analytically,... -
Bayesian counterfactual analysis of the sources of the great moderation (repl...
We use counterfactual experiments to investigate the sources of the large volatility reduction in US real GDP growth in the 1980s. Contrary to an existing literature that... -
Is gravity linear? (replication data)
Despite the solid theoretical foundation on which the gravity model of bilateral trade is based, empirical implementation requires several assumptions which do not follow...