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What time use surveys can (and cannot) tell us about labor supply (replicatio...
The American Time Use Survey (ATUS) accurately measures hours worked on a single day. We propose several estimators of elasticities of weekly labor supply in a linear regression... -
Average treatment effects for stayers with correlated random coefficient mode...
Correlated random coefficient (CRC) models provide a useful framework for estimating average treatment effects (ATE) with panel data by accommodating heterogeneous treatment... -
Flexible Estimation of Demand Systems: A Copula Approach (replication data)
In this paper we study the own-price elasticity for gasoline in demand systems involving three expenditure categories in the transportation sector in Canada: gasoline, local... -
Mismatch Shocks and Unemployment During the Great Recession (replication data)
We investigate the macroeconomic consequences of fluctuations in the effectiveness of the labor market matching process with a focus on the Great Recession. We conduct our... -
Bubbles and Crises: The Role of House Prices and Credit (replication data)
This paper utilizes quarterly panel data for 20 OECD countries over the period 1975:Q1-2014:Q2 to explore the importance of house prices and credit in affecting the likelihood... -
CHOOSING THE VARIABLES TO ESTIMATE SINGULAR DSGE MODELS (replication data)
We propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables... -
THE ROLE OF TIME-VARYING PRICE ELASTICITIES IN ACCOUNTING FOR VOLATILITY CHAN...
There has been a systematic increase in the volatility of the real price of crude oil since 1986, followed by a decline in the volatility of oil production since the early... -
Non-Gaussian dynamic Bayesian modelling for panel data (replication data)
A first order autoregressive non-Gaussian model for analysing panel data is proposed. The main feature is that the model is able to accommodate fat tails and also skewness, thus...