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Semiparametric estimation and variable selection for single‐index copula mode...
A copula with a flexibly dependence structure can capture complexity and heterogeneity in economic and financial time series. Based on the recently proposed single-index copula,... -
Transitory and permanent shocks in the global market for crude oil (replicati...
This paper documents the determinants of real oil price in the global market based on an empirical model embedding transitory and permanent shocks. We find evidence of... -
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... -
Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful f...
Induced sparsity in the factor loading matrix identifies the factor basis, while rotational identification is obtained ex post by clustering methods closely related to machine... -
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... -
Fixed effects demeaning in the presence of interactive effects in treatment e...
The present paper shows that cross-section demeaning with respect to time fixed effects is more useful than commonly appreciated, in that it enables consistent and... -
Who benefits from privileged peers? Evidence from siblings in schools (replic...
By comparing siblings attending the same school at different points in time, we investigate whether the effect of peer quality on long-term labor market outcomes varies with... -
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... -
Dynamic discrete copula models for high‐frequency stock price changes (replic...
We develop a dynamic model for the intraday dependence between discrete stock price changes. The conditional copula mass function for the integer tick-size price changes has... -
Risk‐neutral moment‐based estimation of affine option pricing models (replica...
This paper provides a novel methodology for estimating option pricing models based on risk-neutral moments. We synthesize the distribution extracted from a panel of option... -
How important are fixed effects and time trends in estimating returns to scho...
A substantial and rapidly growing literature has developed around estimating earnings gains from 2-year college degrees using administrative data. These papers almost... -
Time Variation in Macro-Financial Linkages (replication data)
We analyze the contribution of credit spread, house and stock price shocks to the US economy based on a time-varying parameter vector autoregressive model. We find that the... -
Replicating the Results in ‘A New Model of Trend Inflation’ Using Particle Ma...
An article by Chan et al. (2013) published in the Journal of Business and Economic Statistics introduces a new model for trend inflation. They allow the trend inflation to... -
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... -
A Hidden Markov Model Approach to Information-Based Trading: Theory and Appli...
This paper develops a novel approach to information-based securities trading by characterizing the hidden state of the market, which varies following a Markov process. Extensive... -
Anticipating Long-Term Stock Market Volatility (replication data)
We investigate the relationship between long-term US stock market risks and the macroeconomic environment using a two-component GARCH-MIDAS model. Our results show that... -
Extracting Nonlinear Signals from Several Economic Indicators (replication data)
We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov switching dynamic factor models to identify the business cycle... -
What Drives Oil Prices? Emerging Versus Developed Economies (replication data)
We explore the role of demand from emerging and developed economies as drivers of the real price of oil. Using a FAVAR model that identifies shocks from different regions of the... -
MIXED‐FREQUENCY STRUCTURAL MODELS: IDENTIFICATION, ESTIMATION, AND POLICY ANA...
The mismatch between the timescale of DSGE (dynamic stochastic general equilibrium) models and the data used in their estimation translates into identification problems,...
