We discuss the use of calibration techniques in economic models. Calibration contrasts with estimation in relying on … deterministic calculation of model parameter values consistent with data, rather than econometric estimation. The reasons why … calibration, the use of data pre-adjustments, and the incorporation of model estimation consistent elasticities. We conclude with …

structural models used in macroeconomics. The routine involves the estimation of dynamic moments over subgroups of the cross …-sectional dimension of agents. Micro moments differ from each other in the informative content that they carry for point estimation of the … relevant information for the correct estimation of the subjective discount rate. However, data from the cross section are not …

the case of panel data, an estimation of the incidence of measurement error on the total variance can be obtained by …

parameter estimation. The asymptotic null distribution of the resulting test statistic is represented by invariance principle …

Kernel density estimation (KDE) has been prominently used to measure poverty from grouped data (Sala-i-Martin, 2006 … density estimation in poverty analysis …

techniques, in particular kernel density estimation, in estimating poverty from grouped data. Using Monte Carlo simulations, we … show that kernel density estimation gives rise to nontrivial biases in estimated poverty levels that depend on the … estimates to changes in the bandwidth and show that they vary widely with it. A comparison of kernel density estimation with …