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Comments on ‘Jointness of growth determinants’ (replication data)
We consider the measures of jointness proposed by Doppelhofer and Weeks (2009) and Strachan (2009) in the context of variable selection. Using the general criteria suggested in... -
Jointness of growth determinants (replication data)
This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model... -
Assessing the credibility of instrumental variables inference with imperfect ...
Consistent instrumental variables (IV) estimation requires instruments uncorrelated with model errors, but this assumption is usually both suspect and untestable. Here the... -
Estimating Euler equations with noisy data: two exact GMM estimators (replica...
In this paper we exploit the specific structure of the Euler equation and develop two alternative GMM estimators that deal explicitly with measurement error. The first estimator... -
Random Recursive Partitioning: a matching method for the estimation of the av...
In this paper we introduce the Random Recursive Partitioning (RRP) matching method. RRP generates a proximity matrix which might be useful in econometric applications like... -
Does the option market produce superior forecasts of noise-corrected volatili...
This paper assesses the robustness of the relative performance of spot? and options-based volatility forecasts to the treatment of microstructure noise. Robustness of the... -
Efficiency and productivity of the US banking industry, 1998-2005: evidence f...
This paper provides estimates of bank efficiency and productivity in the United States, over the period from 1998 to 2005, using (for the first time) the globally flexible... -
Annual miles drive used car prices (replication data)
This paper investigates whether the net benefits from owning a vehicle, proxied by annual miles driven, explain the price declines observed over a vehicle's life. We first model... -
International output convergence: evidence from an autocorrelation function a...
This paper uses an autocorrelation function (ACF) approach to develop a new testing procedure for international output convergence. We define convergence in terms of sample ACFs... -
Hours per capita and productivity: evidence from correlated unobserved compon...
Recent studies debate the effect of a permanent productivity shock on hours per capita within a structural VAR context. This paper examines the issue using a correlated... -
Market fundamentals versus rational bubbles in stock prices: a Bayesian persp...
Using Bayesian Markov chain Monte Carlo methods, we decompose the log price-dividend ratio into a market fundamentals component and a bubble component. The market fundamentals...
