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Matching theory and evidence on Covid‐19 using a stochastic network SIR model...
This paper develops an individual-based stochastic network SIR model for the empirical analysis of the Covid-19 pandemic. It derives moment conditions for the number of infected... -
If not now, when? The timing of childbirth and labor market outcomes (replica...
We study the effect of childbirth and birth timing on female labor market outcomes in Italy. The impact is traced up to 21 years since school completion by estimating a factor... -
Productivity effects of internationalisation through the domestic supply chai...
This paper investigates productivity effects for a given firm resulting from the import or export of intermediate inputs by domestic upstream and downstream industries. With the... -
The double‐edged sword of global integration: Robustness, fragility, and cont...
Increased global integration of firm, production, and financial networks has the potential to benefit growth but also amplify the transmission of crises. We test whether higher... -
The impact of HIV/AIDS on human capital investment in Sub‐Saharan Africa: New...
The risk of AIDS-related mortality increased dramatically throughout the 1990s. This paper updates previous work by Fortson (2011) to examine the impact of mortality risk on... -
Ranking intersecting distribution functions (replication data)
Second-degree dominance has become a widely accepted criterion for ordering distribution functions according to social welfare. However, it provides only a partial ordering, and... -
The role of startups for local labor markets (replication data)
There are substantial differences in startup activity across US local labor markets. We study the causes and consequences of these differences. Startup productivity shocks are... -
Hidden group patterns in democracy developments: Bayesian inference for group...
We propose a nonparametric Bayesian approach to estimate time-varying grouped patterns of heterogeneity in linear panel data models. Unlike the classical approach in Bonhomme... -
Two applications of wild bootstrap methods to improve inference in cluster‐IV...
Microeconomic data often have within-cluster dependence, which affects standard error estimation and inference. When the number of clusters is small, asymptotic tests can be... -
Mostly harmless simulations? Using Monte Carlo studies for estimator selectio...
We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness. We show... -
Efficient estimation of factor models with time and cross-sectional dependenc...
This paper studies the efficient estimation of large-dimensional factor models with both time and cross-sectional dependence assuming (N,T) separability of the covariance... -
Structural FECM: Cointegration in large‐scale structural FAVAR models (replic...
Starting from the dynamic factor model for nonstationary data we derive the factor-augmented error correction model (FECM) and its moving-average representation. The latter is... -
On the Empirical Failure of Purchasing Power Parity Tests (replication data)
Empirical research on the validity of the purchasing power parity (PPP) condition is generally based on real exchange rates built using the consumer price index (CPI), but fails... -
WHO REALLY WANTS TO BE A MILLIONAIRE? ESTIMATES OF RISK AVERSION FROM GAMESHO...
This paper estimates the degree of risk aversion from one of the most popular TV gameshows ever. The format of the show is straightforward; it involves no strategic decision... -
SEMI-PARAMETRIC ESTIMATION OF PROGRAM IMPACTS ON DISPERSION OF POTENTIAL WAGE...
We propose the use of instrumental variables and pairwise matching to identify the average treatment effect on variance in potential outcomes. We show that identifying and... -
Realized GARCH: a joint model for returns and realized measures of volatility...
We introduce a new framework, Realized GARCH, for the joint modeling of returns and realized measures of volatility. A key feature is a measurement equation that relates the... -
Identification of parameters in normal error component logit-mixture (NECLM) ...
Although the basic structure of logit-mixture models is well understood, important identification and normalization issues often get overlooked. This paper addresses issues... -
A structural dynamic analysis of retirement behaviour in the Netherlands (rep...
This study focuses on determinants of elderly labour force participation and retirement decisions in the Netherlands. This is analysed by a dynamic programming model for the...
