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Textual Analysis in Real Estate (replication data)
This paper incorporates text data from MLS listings into a hedonic pricing model. We show that the comments section of the MLS, which is populated by real estate agents who... -
Out-of-Sample Return Predictability: A Quantile Combination Approach (replica...
This paper develops a novel forecasting method that minimizes the effects of weak predictors and estimation errors on the accuracy of equity premium forecasts. The proposed... -
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... -
Differences Between Classical and Bayesian Estimates for Mixed Logit Models: ...
The mixed logit model is widely used in applied econometrics. Researchers typically rely on the free choice between the classical and Bayesian estimation approach. However,... -
Forecasting with Global Vector Autoregressive Models: a Bayesian Approach (re...
This paper develops a Bayesian variant of global vector autoregressive (B-GVAR) models to forecast an international set of macroeconomic and financial variables. We propose a... -
Estimating Bayesian Decision Problems with Heterogeneous Expertise (replicati...
We consider the recent novel two-step estimator of Iaryczower and Shum (American Economic Review 2012; 102: 202-237), who analyze voting decisions of US Supreme Court justices.... -
Lasso for Instrumental Variable Selection: A Replication Study (replication d...
Recently, Lasso methods have been applied to economic questions. In a seminal paper, Belloni et al. (Econometrica; 80(6): 2369-2429) make use of (post-)Lasso for instrumental... -
An Extension of the<i>J</i>-Test to a Spatial Panel Data Framework (replicati...
Kelejian (Letters in Spatial and Resources Sciences; 1: 3-11) extended the J-test procedure to a spatial framework. Although his suggested test was computationally simple and... -
A Test of the Conditional Independence Assumption in Sample Selection Models ...
Identification in most sample selection models depends on the independence of the regressors and the error terms conditional on the selection probability. All quantile and mean... -
Spline Regression in the Presence of Categorical Predictors (replication data)
We consider the problem of estimating a relationship nonparametrically using regression splines when there exist both continuous and categorical predictors. We combine the... -
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... -
IDENTIFYING CAUSAL MECHANISMS (PRIMARILY) BASED ON INVERSE PROBABILITY WEIGHT...
This paper demonstrates the identification of causal mechanisms of a binary treatment under selection on observables, (primarily) based on inverse probability weighting; i.e. we... -
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... -
MODEL PRIORS REVISITED: INTERACTION TERMS IN BMA GROWTH APPLICATIONS (replica...
This paper provides a sensitivity analysis on the prior choice for interaction terms for the results of Masanjala and Papageorgiou (Rough and lonely road to prosperity. Journal... -
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... -
crs: A PACKAGE FOR NONPARAMETRIC SPLINE ESTIMATION IN R (replication data)
crs is a library for R written by Jeffrey S. Racine (Maintainer) and Zhenghua Nie. This add-on package provides a collection of functions for spline-based nonparametric... -
EXPLORING ALL VAR ORDERINGS FOR CALCULATING SPILLOVERS? YES, WE CAN!-A NOTE O...
Diebold and Yilmaz (Economic Journal 2009; 119; 158-171) introduce the spillover index to measure linkages between international financial markets. As their index depends on the... -
EMBARRASSINGLY EASY EMBARRASSINGLY PARALLEL PROCESSING IN R (replication data)
This dataset has no description
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Categorical semiparametric varying-coefficient models (replication data)
Semiparametric varying-coefficient models have become a common fixture in applied data analysis. Existing approaches, however, presume that those variables affecting the... -
SPATIAL FILTERING, MODEL UNCERTAINTY AND THE SPEED OF INCOME CONVERGENCE IN E...
In this paper we put forward a Bayesian model averaging method aimed at performing inference under model uncertainty in the presence of potential spatial autocorrelation. The...
