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Estimation of average treatment effects using panel data when treatment effec...
This paper proposes a new panel data approach to identify and estimate the time-varying average treatment effect (ATE). The approach allows for treatment effect heterogeneity... -
Mixed causal–noncausal autoregressions with exogenous regressors (replication...
Mixed causal-noncausal autoregressive (MAR) models have been proposed to model time series exhibiting nonlinear dynamics. Possible exogenous regressors are typically substituted... -
Multivariate dynamic intensity peaks‐over‐threshold models (replication data)
We propose a multivariate dynamic intensity peaks-over-threshold model to capture extremes in multivariate return processes. The random occurrence of extremes is modeled by a... -
Income and Democracy: A Smooth Varying Coefficient Redux (replication data)
Acemoglu et al. (American Economic Review 2008; 98: 808-842) find no effect of income on democracy when controlling for fixed effects in a dynamic panel model. Work by... -
Narrow Replication of ‘A Spatio-Temporal Model of House Prices in the Usa’ Us...
I narrowly replicate Holly et al.'s (Journal of Econometrics 2010; 158(1): 160-173) analysis of the housing market in the USA, using the open source R software instead of the... -
SMOOTH QUANTILE-BASED MODELING OF BRAND SALES, PRICE AND PROMOTIONAL EFFECTS ...
Semiparametric quantile regression is employed to flexibly estimate sales response for frequently purchased consumer goods. Using retail store-level data, we compare the... -
IDENTIFYING THE RESPONSE OF FERTILITY TO FINANCIAL INCENTIVES (replication data)
While using financial incentives to increase fertility has become relatively common, the effects of such policies are difficult to assess. We propose an identification strategy... -
EMBARRASSINGLY EASY EMBARRASSINGLY PARALLEL PROCESSING IN R (replication data)
This dataset has no description
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The impact of data revisions on the robustness of growth determinants-a note ...
Ciccone and Jaroci-ski (American Economic Journal: Macroeconomics 2010; 2: 222-246) show that inference in Bayesian model averaging (BMA) can be highly sensitive to small data...
