Federal Reserve Bank of Dallas

About: Federal Reserve Bank of Dallas is a other organization based out in Dallas, Texas, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 196 authors who have published 994 publications receiving 35508 citations.

Dynamics of Fiscal Financing in the United States

Abstract: Dynamic stochastic general equilibrium models that include policy rules for government spending, lump-sum transfers, and distortionary taxation on labor and capital income and on consumption expenditures are fit to U.S. data under a variety of specifications of fiscal policy rules. We obtain several results. First, the best fitting model allows a rich set of fiscal instruments to respond to stabilize debt. Second, responses of aggregate variables to fiscal policy shocks under rich fiscal rules can vary considerably from responses that allow only non-distortionary fiscal instruments to finance debt. Third, based on estimated policy rules, transfers, capital tax rates, and government spending have historically responded strongly to government debt, while labor taxes have responded more weakly. Fourth, all components of the intertemporal condition linking debt to expected discounted surpluses - transfers, spending, tax revenues, and discount factors - display instances where their expected movements are important in establishing equilibrium. Fifth, debt-financed fiscal shocks trigger long lasting dynamics so that short-run multipliers can differ markedly from long-run multipliers, even in their signs.

Can Multi-Stage Production Explain the Home Bias in Trade?

Abstract: A large empirical literature finds that there is too little international trade, and too much intra-national trade to be rationalized by observed international trade costs such as tariffs and transport costs. The literature uses frameworks in which goods are assumed to be produced in just one stage. This paper investigates whether the multi-stage nature of production helps explain the home bias in trade. The author shows that multi-stage production magnifies the effects of trade costs. He then calibrates a multi-stage production model to the U.S. and Canada. He solves the model with measures of trade costs constructed from data on tariffs, transport costs, and wholesale distribution margins. The model can explain about 3/8 of the Canada border effect; this is three times more than what a calibrated one-stage model can explain. The model also explains a good deal of Canada's vertical specialization trade. Finally, a reverse engineering exercise suggests that the unknown or unobserved component of trade costs is smaller than observed trade costs.

Econometric Analysis of High Dimensional VARs Featuring a Dominant Unit

Abstract: This paper extends the analysis of in…nite dimensional vector autoregressive models (IVAR) proposed in Chudik and Pesaran (2010) to the case where one of the variables or the cross section units in the IVAR model is dominant or pervasive. This extension is not straightforward and involves several technical di¢ culties. The dominant unit in‡uences the rest of the variables in