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Evaluating density forecasts: forecast combinations, model mixtures, calibrat...
This paper reviews current density forecast evaluation procedures, and considers a proposal that such procedures be augmented by an assessment of sharpness. This was motivated... -
Jumps, cojumps and macro announcements (replication data)
We use recently proposed tests to extract jumps and cojumps from three types of assets: stock index futures, bond futures, and exchange rates. We then characterize the dynamics... -
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... -
How different is Africa? A comment on Masanjala and Papageorgiou (replication...
Masanjala and Papageorgiou (Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging, Journal of Applied... -
Modelling and forecasting multivariate realized volatility (replication data)
This paper proposes a methodology for dynamic modelling and forecasting of realized covariance matrices based on fractionally integrated processes. The approach allows for... -
Modeling and forecasting short-term interest rates: The benefits of smooth re...
In this paper we propose a smooth transition tree model for both the conditional mean and variance of the short-term interest rate process. The estimation of such models is... -
A comparison of treatment effects estimators using a structural model of AMI ...
We compare the performance of various matching estimators using a novel approach that is feasible in the absence of experimental data. We estimate a structural model of hospital... -
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... -
Simulation-based tests of forward-looking models under VAR learning dynamics ...
In this paper we propose a simulation-based technique to investigate the finite sample performance of likelihood ratio (LR) tests for the nonlinear restrictions that arise when... -
Forecasting large datasets with Bayesian reduced rank multivariate models (re...
The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we propose three alternative reduced rank forecasting models and... -
Conditional Markov chain and its application in economic time series analysis...
Motivated by the great moderation in major US macroeconomic time series, we formulate the regime switching problem through a conditional Markov chain. We model the long-run... -
Biases in approximating log production (replication data)
Most empirical work in economic growth assumes either a Cobb-Douglas production function expressed in logs or a log-approximated constant elasticity of substitution... -
Job and wage mobility with minimum wages and imperfect compliance (replicatio...
We propose a job search model with minimum wage regulations and imperfect compliance to explain the doubling of the mean and variance of hourly earnings of white males during... -
Estimating the returns to schooling: a likelihood approach based on normal mi...
In this paper we develop likelihood-based methods for statistical inference in a joint system of equations for the choice of length of schooling and earnings. The model for... -
When Kahneman meets Manski: Using dual systems of reasoning to interpret subj...
To understand how decisions to invest in stocks are taken, economists need to elicit expectations regarding risk-return tradeoff. One of the few surveys which has elicited such... -
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... -
npRmpi: A package for parallel distributed kernel estimation in R (replicatio...
This dataset has no description
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Regime shifts in stock-flow I(2)-I(1) systems: the case of US fiscal sustaina...
In the last two decades, fiscal sustainability has been tested through the use of non-stationary time series analysis. Two different approximations can be found in the...