This paper examines the question whether information is contained in forecasts from DSGE models beyond that contained in lagged values, which are extensively used in the models. Four sets of forecasts are examined. The results are encouraging for DSGE forecasts of real GDP. The results suggest...

This paper uses a multicountry macroeconometric model to estimate the macroeconomic effects of the U.S. stimulus bill passed in February 2009. The analysis has the advantage of taking into account many endogenous effects. Real U.S. output is estimated to be $554 billion larger when summed over...

This paper uses a multicountry macroeconometric model to estimate the macroeconomic effects of a Chinese yuan appreciation. The estimated effects on U.S. output and employment are modest. Positive effects on U.S. output from a decrease in imports from China are offset by negative effects on U.S....

This paper uses a structural multi-country macroeconometric model to estimate the size of the decrease in transfer payments (or tax expenditures) needed to stabilize the U.S. government debt/GDP ratio. It takes into account endogenous effects of changes in fiscal policy on the economy and in...

This paper uses a multicountry macroeconometric model to analyze possible macroeconomic consequences of large future U.S. federal government deficits. The analysis has the advantage of accounting for the endogeneity of the deficit. In the baseline run, which assumes no large tax increases or...

The results in this paper, using a structural multi-country macroeconometric model, suggest that there is at most a small gain from fiscal stimulus in the form of increased transfer payments or increased tax deductions if the increased debt generated must eventually be paid back. The gain in...

Standard tests and confidence sets in the moment inequality literature are not robust to model misspecification in the sense that they exhibit spurious precision when the identified set is empty. This paper introduces tests and confidence sets that provide correct asymptotic inference for a...

This paper introduces a new identification- and singularity-robust conditional quasi-likelihood ratio (SR-CQLR) test and a new identification- and singularity-robust Anderson and Rubin (1949) (SR-AR) test for linear and nonlinear moment condition models. Both tests are very fast to compute....

We consider inference in models defined by approximate moment conditions. We show that near-optimal confidence intervals (CIs) can be formed by taking a generalized method of moments (GMM) estimator, and adding and subtracting the standard error times a critical value that takes into account...

We consider inference in models defined by approximate moment conditions. We show that near-optimal confidence intervals (CIs) can be formed by taking a generalized method of moments (GMM) estimator, and adding and subtracting the standard error times a critical value that takes into account...