
 MIT Economics: Statistics and Econmetrics (Site not responding. Last check: ) 
  Theory and application of time series methods in econometrics, including representation theorems, decomposition theorems, prediction, spectral analysis, estimation with stationary and nonstationary processes, VARs, unit webusers, and cointegration. 
  Microeconometric models, including large sample theory for estimation and hypothesis testing, generalized method of moments, estimation of censored and truncated specifications and duration models, nonparametric and semiparametric estimation, panel data, bootstrapping, and simulation methods. 
  Covers topics in econometrics and empirical modeling that are likely to be useful to applied researchers working on crosssection and panel data applications. 
 econwww.mit.edu /graduate/stats.htm (266 words) 
