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Panicca: Panic on Cross-Section Averages (replication data)
The cross-section average (CA) augmentation approach of Pesaran (A simple panel unit root test in presence of cross-section dependence. Journal of Applied Econometrics 2007; 22:... -
Exponent of Cross-Sectional Dependence: Estimation and Inference (replication...
This paper provides a characterisation of the degree of cross-sectional dependence in a two dimensional array, {xit,i = 1,2,...N;t = 1,2,...,T} in terms of the rate at which the... -
Volatility of Price Indices for Heterogeneous Goods with Applications to the ...
Price indices for heterogeneous goods such as real estate or fine art constitute crucial information for institutional or private investors considering alternative investment... -
SEQUENTIAL MONTE CARLO SAMPLING FOR DSGE MODELS (replication data)
We develop a sequential Monte Carlo (SMC) algorithm for estimating Bayesian dynamic stochastic general equilibrium (DSGE) models; wherein a particle approximation to the... -
Estimation of Treatment Effects without an Exclusion Restriction: with an App...
The increase in childhood obesity has garnered the attention of many in policymaking circles. Consequently, school nutrition programs such as the School Breakfast Program (SBP)... -
International evidence on the efficacy of new‐Keynesian models of inflation p...
We take an agnostic view of the Phillips curve debate, and carry out an empirical investigation of the relative and absolute efficacy of Calvo sticky price (SP), sticky... -
Bayesian estimation of random-coefficients choice models using aggregate data...
This article discusses the use of Bayesian methods for estimating logit demand models using aggregate data. We analyze two different demand systems: independent samples and... -
Jointness of growth determinants (replication data)
This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model... -
Estimating Euler equations with noisy data: two exact GMM estimators (replica...
In this paper we exploit the specific structure of the Euler equation and develop two alternative GMM estimators that deal explicitly with measurement error. The first estimator... -
Random Recursive Partitioning: a matching method for the estimation of the av...
In this paper we introduce the Random Recursive Partitioning (RRP) matching method. RRP generates a proximity matrix which might be useful in econometric applications like... -
Rotterdam model versus almost ideal demand system: will the best specificatio...
The Rotterdam model and the Almost Ideal Demand System (AIDS) are often applied in consumer demand systems modeling. Using Monte Carlo techniques, we determine which model... -
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... -
Small-sample confidence intervals for multivariate impulse response functions...
Existing methods for constructing confidence bands for multivariate impulse response functions may have poor coverage at long lead times when variables are highly persistent.... -
Semiparametric three-step estimation methods for simultaneous equation system...
This paper proposes a new method for estimating a structural model of labour supply in which hours of work depend on (log) wages and the wage rate is considered endogenous. The... -
Distribution approximations for cointegration tests with stationary exogenous...
The distribution of a functional of two correlated vector-Brownian motions is approximated by a Gamma distribution. This functional represents the limiting distribution for... -
Aggregate vs. disaggregate data analysis—a paradox in the estimation of a mon...
We use Japanese aggregate and disaggregate money demand data to show that conflicting inferences can arise. The aggregate data appears to support the contention that there was... -
Selection correction and sensitivity analysis for ordered treatment effect on...
In estimating the effect of an ordered treatment effect on a count response y with an observational data where τ is self-selected (not randomized), observed variables x and... -
Modelling and forecasting level shifts in absolute returns (replication data)
Due to high and low volatility periods, time series of absolute returns experience temporary level shifts which differ in length and size. In this paper we modify the basic... -
Estimating quadratic variation using realized variance (replication data)
This paper looks at some recent work on estimating quadratic variation using realized variance (RV)?that is, sums of M squared returns. This econometrics has been motivated by... -
Estimating shocks and impulse response functions (replication data)
This paper examines the issue of how to identify the shocks in a cointegrated VAR when the following assumptions are made: the variables can be classified as endogenous or...
