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TAX-LIMITED REACTION FUNCTIONS (replication data)
This paper models for the first time a spatial process in local tax policies in the presence of centrally imposed fiscal limitations. Focusing on the frequently encountered case... -
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... -
THE RESPONSES OF YOUTH TO A CASH TRANSFER CONDITIONAL ON SCHOOLING: A QUASI-E...
We estimate the effect of cash transfers given to youth conditional on high school attendance on the labor supply decisions and academic performance of youth. We exploit... -
EUCLIDEAN REVEALED PREFERENCES: TESTING THE SPATIAL VOTING MODEL (replication...
In the spatial model of voting, voters choose the candidate closest to them in the ideological space. Recent work by Degan and Merlo in 2009 shows that it is falsifiable on the... -
REVERSE REGRESSIONS AND LONG-HORIZON FORECASTING (replication data)
Long-horizon predictive regressions in finance pose formidable econometric problems when estimated using available sample sizes. Hodrick in 1992 proposed a remedy that is based... -
THE GROWTH AFTERMATH OF NATURAL DISASTERS (replication data)
This paper traces the yearly response of gross domestic product growth-both aggregated and disaggregated into its agricultural and non-agricultural components-to four types of... -
EURO CORPORATE BOND RISK FACTORS (replication data)
This paper investigates the determinants of credit spread changes in euro-denominated bonds. We adopt a factor model framework, inspired by the credit risk structural approach,... -
CARROT AND STICK: HOW RE-EMPLOYMENT BONUSES AND BENEFIT SANCTIONS AFFECT EXIT...
To increase the exit from welfare, benefit recipients in the municipality of Rotterdam were exposed to various financial incentives. Once their benefit spell exceeded one year,... -
VAR FORECASTING USING BAYESIAN VARIABLE SELECTION (replication data)
This paper develops methods for automatic selection of variables in Bayesian vector autoregressions (VARs) using the Gibbs sampler. In particular, I provide computationally... -
Forecasting with Medium and Large Bayesian VARS (replication data)
This paper is motivated by the recent interest in the use of Bayesian VARs for forecasting, even in cases where the number of dependent variables is large. In such cases factor... -
MEASURING THE EFFECT OF NAPSTER ON RECORDED MUSIC SALES: DIFFERENCE-IN-DIFFER...
This paper measures the effect of Napster on record sales. I treat the introduction of Napster as a technological event that only Internet users experienced, and use a... -
MULTIVARIATE METHODS FOR MONITORING STRUCTURAL CHANGE (replication data)
Detection of structural change is a critical empirical activity, but continuous monitoring for changes in real time raises well-known econometric issues that have been explored... -
Did China diversify its foreign reserves? (replication data)
This paper takes a novel approach to detect the latent currency portfolio of Chinese foreign exchange reserves and the underlying portfolio management strategies during 2000 and... -
Estimation of dynamic panel data models with sample selection (replication data)
We propose a new method for estimating dynamic panel data models with selection. The method uses backward substitution for the lagged dependent variable, which leads to an... -
Stochastic search variable selection in vector error correction models with a...
This paper develops methods for stochastic search variable selection (currently popular with regression and vector autoregressive models) for vector error correction models... -
Panel data estimates of the production function and product and labor market ...
Consistent with two models of imperfect competition in the labor market-the efficient bargaining model and the monopsony model-we provide two extensions of a microeconomic... -
Macroeconomic forecasting and structural change (replication data)
The aim of this paper is to assess whether modeling structural change can help improving the accuracy of macroeconomic forecasts. We conduct a simulated real-time out-of-sample... -
On the simultaneity problem in the aid and growth debate (replication data)
This paper shows that foreign aid has a significant positive average effect on real per capita gross domestic product (GDP) growth if, and only if, the quantitatively large...
