710 research outputs found

    Capturing NAFTA's impact with applied general equilibrium models

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    We examine the results of four static applied general equilibrium (AGE) modeling teams' analyses of the effects of NAFTA. What they show is that Mexico's economy, because it's the smallest, will see the biggest NAFTA-produced increase in economic welfare: from 2 to 5 percent of GDP. The U.S. welfare increase will be small, around 0.1 percent of GDP; Canada will notice no welfare increase due to NAFTA. We then discuss two examples of dynamic phenomena—labor force adjustment and capital flows—which are likely to influence NAFTA's welfare impact, but that aren't easy to incorporate into static AGE models. Early results indicate that this is an important direction for future study.North American Free Trade Agreement

    A primer on static applied general equilibrium models

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    In this paper, we describe and analyze the basic structure of the applied general equilibrium (AGE) models used to assess the effects of government trade policies. Once we have constructed the basic model, we extend it to cover features such as increasing returns to scale, imperfect competition, and differentiated products, following the AGE modeling trend of the past 10 years. We then compare a static AGE model's predictions with the actual data on how Spain was affected by entering the European Community and find that, when exogenous effects are included, a static AGE model's predictions are fairly accurate.Econometric models

    How to Advance Theory with Structural VARs: Use the Sims-Cogley-Nason Approach

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    The common approach to evaluating a model in the structural VAR literature is to compare the impulse responses from structural VARs run on the data to the theoretical impulse responses from the model. The Sims-Cogley-Nason approach instead compares the structural VARs run on the data to identical structural VARs run on data from the model of the same length as the actual data. Chari, Kehoe, and McGrattan (2006) argue that the inappropriate comparison made by the common approach is the root of the problems in the SVAR literature. In practice, the problems can be solved simply. Switching from the common approach to the Sims-Cogley-Nason approach basically involves changing a few lines of computer code and a few lines of text. This switch will vastly increase the value of the structural VAR literature for economic theory.

    Patrick Kehoe's comment on "Determinants of business cycle comovement: a robust analysis" by Marianne Baxter and Michael Kouparitsas

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    This paper by Baxter and Kouparitsas is an ambitious attempt to explore which variables are robust in explaining the correlations of bilateral GDP between countries at business cycle frequencies. Most of the variables turned out to be fragile. The main contribution is to show that countries with large amounts of bilateral trade tend to have robustly higher business cycle correlations. Another interesting finding is that neither currency unions nor industrial structure are robustly related to business cycle correlations.Business cycles - Econometric models

    Policy-Driven Productivity in Chile and Mexico in the 1980s and 1990s

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    Both Chile and Mexico experienced severe economic crises in the early 1980s, but Chile recovered much faster than did Mexico. Using growth accounting and a calibrated dynamic general equilibrium model, we conclude that the crucial determinant of this difference between the two countries was the faster productivity growth in Chile, rather than higher investment or employment. Our hypothesis is that this difference in productivity was driven by earlier policy reforms in Chile, the most crucial of which were in banking and bankruptcy procedures. We propose a theoretical framework in which government policy affects both the allocation of resources and the composition of firms.

    A decade lost and found: Mexico and Chile in the 1980s

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    Chile and Mexico experienced severe economic crises in the early 1980s. This paper analyzes four possible explanations for why Chile recovered much faster than did Mexico. Comparing data from the two countries allows us to rule out a monetarist explanation, an explanation based on falls in real wages and real exchange rates, and a debt overhang explanation. Using growth accounting, a calibrated growth model, and economic theory, we conclude that the crucial difference between the two countries was the earlier policy reforms in Chile that generated faster productivity growth. The most crucial of these reforms were in banking and bankruptcy procedures.Depressions ; Productivity

    Measuring Organization Capital

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    In the manufacturing sector of the U.S. economy, nearly 9% of output is not accounted for as payments to either physical capital or labor. The value of this output is a little larger than the value of the stock of physical capital. We build a model to measure how much of this output can be attributed to payments to organization capital-organization-specific knowledge that is built up with experience. We find that roughly 4% of output can be accounted for as payments to organization capital and that this capital has roughly two-thirds the value of the stock of physical capital.

    On the need for a new approach to analyzing monetary policy

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    We present a pricing kernel that summarizes well the main features of the dynamics of interest rates and risk in postwar U.S. data and use it to uncover how the pricing kernel has moved with the short rate. Our findings imply that standard monetary models miss an essential link between the central bank instrument and the economic activity that monetary policy is intended to affect, and thus we call for a new approach to monetary policy analysis. We sketch a new approach using an economic model based on our pricing kernel. The model incorporates the key relationships between policy and risk movements in an unconventional way: the central bank’s policy changes are viewed as primarily intended to compensate for exogenous business cycle fluctuations in risk that threaten to push inflation off target. This model, while an improvement over standard models, is considered just a starting point for their revision.Asset pricing ; Risk ; Taylor's rule

    Deflation and depression: is there an empirical link?

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    Are deflation and depression empirically linked? No, concludes a broad historical study of inflation and real output growth rates. Deflation and depression do seem to have been linked during the 1930s. But in the rest of the data for 17 countries and more than 100 years, there is virtually no evidence of such a link.Deflation (Finance) ; Depressions

    The advantage of transparency in monetary policy instruments

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    Monetary policy instruments differ in tightness - how closely they are linked to inflation - and transparency - how easily they can be monitored. Tightness is always desirable in a monetary policy instrument; when is transparency? When a government cannot commit to follow a given policy. We apply this argument to a classic question: Is the exchange rate or the money growth rate the better monetary policy instrument? We show that if the instruments are equally tight and a government cannot commit to a policy, then the exchange rate's greater transparency gives it an advantage as a monetary policy instrument.Monetary policy ; Foreign exchange rates ; Inflation (Finance) - Mathematical models
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