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The impact of data revisions on the robustness of growth determinants-a note ...
Ciccone and Jaroci-ski (American Economic Journal: Macroeconomics 2010; 2: 222-246) show that inference in Bayesian model averaging (BMA) can be highly sensitive to small data... -
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.... -
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... -
Estimation of sample selection models with spatial dependence (replication data)
We consider the estimation of a sample selection model that exhibits spatial autoregressive errors (SAE). Our methodology is motivated by a two-step strategy where in the first... -
Stochastic monotonicity in intergenerational mobility tables (replication data)
The aim of this paper is to test for stochastic monotonicity in intergenerational socio-economic mobility tables. In other words, we question whether having a parent from a high... -
Stocks, bonds, money markets and exchange rates: measuring international fina...
Understanding the complexity of the financial transmission process across various assets-domestically as well as within and across asset classes-requires the simultaneous... -
Non-parametric bounds on quantiles under monotonicity assumptions: with an ap...
Within the inferential context of predicting a distribution of potential outcomes P[y(t)] under a uniform treatment assignment t ∈ T, this paper deals with partial... -
Measuring and interpreting expectations of equity returns (replication data)
We analyze probabilistic expectations of equity returns elicited in the Survey of Economic Expectations in 1999-2001 and in the Michigan Survey of Consumers in 2002-2004. Our... -
Measuring the willingness to pay to avoid guilt: estimation using equilibrium...
We estimate structural models of guilt aversion to measure the population level of willingness to pay (WTP) to avoid feeling guilt by letting down another player. We compare... -
Assessing and valuing the nonlinear structure of hedge fund returns (replicat...
Several studies have put forward that hedge fund returns exhibit a nonlinear relationship with equity market returns, captured either through constructed portfolios of traded... -
Dynamics of worker flows and vacancies: evidence from the sign restriction ap...
This paper establishes robust dynamic features of the worker reallocation process in the US labor market. I use structural VARs with sign restrictions, which take the form of... -
Mixed logit models: accuracy and software choice (replication data)
This dataset has no description
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Identifying the age profile of patent citations: new estimates of knowledge d...
Previous research studies the age profile of patent citations to learn about knowledge flows over time. However, identification is problematic because of the collinearity... -
Firm size distributions through the lens of functional principal components a...
We explore the dynamics of firm size distributions through the lens of Functional Principal Component Analysis as proposed by Kneip and Utikal (2001). Using samples of UK firms... -
Why are gasoline prices sticky? A test of alternative models of price adjustm...
Macroeconomic models of business cycles rely on the assumption that firms adjust prices infrequently to generate the short-run non-neutrality of money documented by the monetary... -
Long-run relations in European electricity prices (replication data)
This paper analyses the interdependencies existing in wholesale electricity prices in six major European countries. The results of a robust multivariate long-run dynamic... -
Path forecast evaluation (replication data)
A path forecast refers to the sequence of forecasts 1 to H periods into the future. A summary of the range of possible paths the predicted variable may follow for a given... -
Semiparametric estimation of consumer demand systems in real expenditure (rep...
Microdata concerning consumer demand typically show considerable variation in real expenditures, but very little variation in prices. We propose a semiparametric strategy for... -
Continuous-time models, realized volatilities, and testable distributional im...
We provide an empirical framework for assessing the distributional properties of daily speculative returns within the context of the continuous-time jump diffusion models... -
Large Bayesian vector auto regressions (replication data)
This paper shows that vector auto regression (VAR) with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results of De Mol and co-workers...
