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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... -
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... -
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... -
Mixed logit models: accuracy and software choice (replication data)
This dataset has no description
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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... -
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... -
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...
