The Mexican economy experienced two large crises: in 1995 and in 2008. The dynamics and origins of the episodes are very different; nevertheless, is there a common underlying mechanism? First, by applying the Business Cycle Accounting method, we find that the efficiency wedge is the main driver of output during both episodes. We present an equivalence between the neoclassical growth model with distortions and a small open economy with imported intermediate goods inputs, in which relative price changes manifest themselves as changes on the efficiency wedge. This result proposes a solution for the theoretical puzzle regarding the relationship between terms of trade shocks and productivity. Finally, the model is able to reproduce both the intensities and velocities of the crises in Mexico.

We examine whether input–output interactions among industries impact the transmission of monetary policy shocks through the economy. Using vector autoregressive (VAR) methods we find evidence of heterogeneity in the output response to a monetary policy shock in both finished goods industries and intermediate goods industries. While output responses in finished goods industries can be related to heterogeneity in industry characteristics, this relationship is not so obvious for intermediate goods industries. For the intermediate goods industries in our sample, we find new evidence of demand-spillover effects that impact the transmission of monetary policy via input–output linkages.

Trade in intermediate goods is an important feature of trade in developed small open economies. We show that a model that assumes trade in intermediate goods brings the dynamics of an otherwise standard small open economy closer to what is observed in the data. With trade in intermediate goods, movements of international relative prices affect the economy through an additional channel, denoted the “cost channel.” A model embedding this channel comes closer to business cycle data in several dimensions compared to models with trade in final goods only. It increases the share of output variance explained by foreign shocks, lowers the exchange rate pass-through, and delivers a positive international correlation of outputs. In addition, the matching of other business cycle moments is at least as good as in a model with trade in final goods only.

I add intangible capital to a variant of the neoclassical growth model that already features physical and human capital, and study the implications for international income differences. I calibrate the parameters associated with intangible capital by using new estimates of investment in intangibles by Corrado et al. [Review of Income and Wealth 55, 661–685 (2009)] and depreciation rates by Corrado and Hulten [American Economic Review 100, 99–104 (2010)]. I find that for a given efficiency difference between rich and poor countries, the model with intangible capital can explain more than double the income differences of the model without. Put another way, in the benchmark case, differences in intangible capital account for 14.3% of the observed income differences. I also examine the role played by intangible capital in versions of the model with barriers to accumulation. In all the variants that I consider, differences in intangible capital account for 10% to 22% of the observed income differences.

In this paper I show that the intensity at which intermediate goods are used in the production process affects aggregate total factor productivity (TFP). To do this, I construct an input–output model economy in which firms produce gross output by means of a production function in capital, labor, and intermediate goods. This production function is subject, together with the standard neutral technical change, to intermediates-biased technical change. Positive (negative) intermediates-biased technical change implies a decline (increase) in the elasticity of gross output with respect to intermediate goods. In equilibrium, this elasticity appears as an explicit part of TFP in the value added aggregate production function. In particular, when the elasticity of gross output with respect to intermediates increases, aggregate TFP declines. I use the model to quantify the impact of intermediates-biased technical change for measured TFP growth in Italy. The exercise shows that intermediates-biased technical change can account for the productivity slowdown observed in Italy from 1994 to 2004.