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PANEL PROBIT WITH FLEXIBLE CORRELATED EFFECTS: QUANTIFYING TECHNOLOGY SPILLOV...
In this paper, we introduce a Bayesian panel probit model with two flexible latent effects: first, unobserved individual heterogeneity that is allowed to vary in the population... -
NON-LINEAR DSGE MODELS AND THE CENTRAL DIFFERENCE KALMAN FILTER (replication ...
This paper introduces a quasi maximum likelihood approach based on the central difference Kalman filter to estimate non-linear dynamic stochastic general equilibrium (DSGE)... -
EVALUATING REAL-TIME VAR FORECASTS WITH AN INFORMATIVE DEMOCRATIC PRIOR (repl...
This paper proposes Bayesian forecasting in a vector autoregression using a democratic prior. This prior is chosen to match the predictions of survey respondents. In particular,... -
UNEMPLOYMENT, HUMAN CAPITAL DEPRECIATION, AND UNEMPLOYMENT INSURANCE POLICY (...
This paper presents a structural estimation of a life cycle model with unemployment risk. The model allows for human capital depreciation during unemployment. It is estimated... -
HOW IMPORTANT ARE ENDOGENOUS PEER EFFECTS IN GROUP LENDING? ESTIMATING A STAT...
We quantify the importance of endogenous peer effects in group lending programs by estimating a static game of incomplete information. Endogenous peer effects describe how one's... -
THE EFFECT OF PARENTAL EMPLOYMENT ON CHILD SCHOOLING (replication data)
This paper presents a model that provides conditions under which a causal interpretation can be given to the association between childhood parental employment and subsequent... -
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... -
GENERALIZED AUTOREGRESSIVE SCORE MODELS WITH APPLICATIONS (replication data)
We propose a class of observation-driven time series models referred to as generalized autoregressive score (GAS) models. The mechanism to update the parameters over time is the... -
MULTIVARIATE VOLATILITY MODELING OF ELECTRICITY FUTURES (replication data)
We model the dynamic volatility and correlation structure of electricity futures of the European Energy Exchange index. We use a new multiplicative dynamic conditional... -
NONLINEAR GROWTH EFFECTS OF TAXATION: A SEMI-PARAMETRIC APPROACH USING AVERAG...
One of the major challenges of empirical tax research is the identification and calculation of appropriate tax data. While there is consensus that average marginal tax rates are... -
EFFICIENT AGGREGATION OF PANEL QUALITATIVE SURVEY DATA (replication data)
Qualitative business survey data are used widely to provide indicators of economic activity ahead of the publication of official data. Traditional indicators exploit only... -
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... -
MEDICAL EXPENDITURE RISK AND HOUSEHOLD PORTFOLIO CHOICE (replication data)
Medical expenses are an increasingly important contributor to household financial risk. We examine the effect of medical expenditure risk on the willingness of Medicare... -
SPATIAL COMPETITION WITH CHANGING MARKET INSTITUTIONS (replication data)
Competition across space can be fundamentally altered by changes in market institutions. We propose a framework that integrates market-altering policy changes in the spatial... -
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... -
BENEFIT DURATION, UNEMPLOYMENT DURATION AND JOB MATCH QUALITY: A REGRESSION-D...
We use a sharp discontinuity in the maximum duration of benefit entitlement to identify the effect of extended benefit duration on unemployment duration and post-unemployment... -
ENTRY INTO PHARMACEUTICAL SUBMARKETS: A BAYESIAN PANEL PROBIT ANALYSIS (repli...
We study entry into pharmaceutical submarkets by using a dynamic panel probit model. We develop a Bayesian version of Wooldridge's approach to dealing with unobserved... -
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...
