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This article studies the transmission of the Global Financial Cycle (GFC) to domestic credit market conditions in a large emerging market, Turkey, over 2003–13. We use administrative data covering the universe of corporate credit transactions matched to bank balance sheets to document four facts: (1) an easing in global financial conditions leads to lower borrowing costs and an increase in local lending; (2) domestic banks more exposed to international capital markets transmit the GFC locally; (3) the fall in local currency borrowing costs is larger than foreign currency borrowing costs due to the co-movement of the uncovered interest rate parity (UIP) premium with the GFC over time; (4) data on posted collateral for new loan issuances show that collateral constraints do not relax during the boom phase of the GFC.

We quantify the role of global production linkages in explaining spillovers of U.S. monetary policy shocks to stock returns of 54 sectors in 26 countries. We first present a conceptual framework based on a standard open-economy production network model that delivers a spillover pattern consistent with a spatial autoregression (SAR) process. We then use the SAR model to decompose the overall impact of U.S. monetary policy on stock returns into a direct and a network effect. We find that up to 80% of the total impact of U.S. monetary policy shocks on average country-sector stock returns are due to the network effect of global production linkages. We further show that U.S. monetary policy shocks have a direct impact predominantly on U.S. sectors and then propagate to the rest of the world through the global production network. Our results are robust to controlling for correlates of the global financial cycle, foreign monetary policy shocks, and to changes in variable definitions and empirical specifications.

We quantify the role of global production linkages in explaining spillovers of U.S. monetary policy shocks to stock returns across countries and sectors using a newly constructed dataset. Our estimation strategy is based on a standard open-economy production network model that delivers a spillover pattern consistent with a spatial autoregression (SAR) process. We use the SAR model to decompose the overall impact of U.S. monetary policy on global stock returns into a direct and a network effect. We find that nearly 70% of the total impact of U.S. monetary policy shocks on country-sector stock returns are due to the network effect of global production linkages. Empirical counterfactuals show that shutting down global production linkages would reduce the total global impact of U.S. monetary policy shocks by half. Our results are robust to changes in the definitions of stock returns and monetary policy shocks, to controlling for correlates of the global financial cycle, foreign monetary policy shocks, and to alternative empirical specifications. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

This paper uses a dataset covering the universe of French firm-level sales, imports, and exports over the period 1993-2007 and a quantitative multi-country model to study the international transmission of business cycle shocks at both the micro and the macro levels. The largest firms are both important enough to generate aggregate fluctuations (Gabaix, 2011), and most likely to be internationally connected. This implies that foreign shocks are transmitted to the domestic economy primarily through the largest firms. We first document a novel stylized fact: larger French firms are significantly more sensitive to foreign GDP growth. We then implement a quantitative framework calibrated to the full extent of observed heterogeneity in firm size, exporting, and importing. We simulate the propagation of foreign shocks to the French economy and report one micro and one macro finding. At the micro level heterogeneity across firms predominates: 40 to 85% of the impact of foreign fluctuations on French GDP is accounted for by the “foreign granular residual” — the term capturing the fact that larger firms are more affected by the foreign shocks. At the macro level, firm heterogeneity dampens the impact of foreign shocks, with the GDP responses 10 to 20% larger in a representative firm model compared to the baseline model. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

This paper uses a data set covering the universe of French firm-level sales, imports, and exports over the period 1993-2007 and a quantitative multi-country model to study the international transmission of business cycle shocks at both the micro and the macro levels. The largest firms are both important enough to generate aggregate fluctuations (Gabaix 2011), and most likely to be internationally connected. This implies that foreign shocks are transmitted to the domestic economy primarily through the largest firms. We first document a novel stylized fact: larger French firms are significantly more sensitive to foreign GDP growth. We then implement a quantitative framework calibrated to the full extent of observed heterogeneity in firm size, exporting, and importing. We simulate the propagation of foreign shocks to the French economy and report one micro and one macro finding. At the micro level, heterogeneity across firms predominates: 40-85 percent of the impact of foreign fluctuations on French GDP is accounted for by the 'foreign granular residual'-the term capturing the fact that larger firms are more affected by the foreign shocks. At the macro level, firm heterogeneity dampens the impact of foreign shocks, with the GDP responses 10-20 percent larger in a representative firm model compared to the baseline model.

Bems and di Giovanni (2016) establish that income-induced expenditure switching (IIES) from foreign goods to cheaper domestic substitutes played a significant role in external rebalancing during the 2008-2009 financial crisis in Latvia. In this paper, we examine the welfare consequences of IIES under different external sector rebalancing scenarios. We find that IIES reduced the negative welfare consequences that accompany external rebalancing by between 12-17 percent. We also show, using a historical decomposition, that IIES accounted for 18 percent of the 2008-2009 collapse in imports, which is greater than the 14 percent contribution due to the conventional price-induced expenditure switching channel.

This paper investigates the role of the top 100 firms in France in aggregate business cycle comovement. We establish that the top 100 firms (i) are important in aggregate; (ii) exhibit stronger international linkages than the rest of the economy; and (iii) contribute substantially to aggregate comovement.

This paper shows that an income effect can drive expenditure switching between domestic and foreign goods. We use a unique Latvian scanner-level dataset for food and beverages, covering the 2008-09 financial crisis, to study (i) relative price movements, and (ii) expenditure switching between domestic and imported goods. We document several empirical findings. First, imports contracted by 26%, with expenditure switching accounting for one third of the fall, while the relative price of foreign goods viz. the food CPI increased by 4.4% during the crisis. Second, the majority of the switching took place between items within narrowly defined product groups, while the relative price adjustment was across product groups. This puzzling asymmetry in expenditure and price adjustments, combined with a finding that consumers substituted towards lower unit value domestic items during the crisis, motivate us to model non-homothetic consumer demand. Over the crisis period, the estimated model explains eighty percent of the observed expenditure switching, which was driven almost entirely by an income effect.

International audience; This paper investigates the role of individual firms in international business-cycle comovement using data covering the universe of French firm-level value added and international linkages over the period 1993-2007. At the micro level, trade and multinational linkages with a particular foreign country are associated with a significantly higher correlation between a firm and that foreign country. The impact of direct linkages on comovement at the micro level has significant macro implications. Without those linkages the correlation between France and foreign countries would fall by about 0.098, or one-third of the observed average correlation of 0.291 in our sample of partner countries. (JEL F14, F23, F44, F62, L14) Countries that exhibit greater bilateral trade and multinational production linkages have more correlated business cycles (Frankel and Rose 1998; Kleinert, Martin, and Toubal 2015). While the empirical literature has repeatedly confirmed the trade-comovement relationship in the data, its meaning is not well understood, either empirically or quantitatively. Taken at face value, the positive association between bilateral trade and multinational linkages and comovement is often interpreted as evidence of transmission of shocks across countries through those linkages. The empirical literature has faced two related challenges. The first is the critique by Imbs (2004) that countries that trade more with each other are similar in other ways, and thus subject to common shocks. Under an extreme version of this view, the trade linkage variable in the Frankel-Rose specification does not reflect the

This paper studies the transmission of the Global Financial Cycle (GFC) to domestic credit market conditions in a large emerging market, Turkey, over 2003–13. We use administrative data covering the universe of corporate credit transactions matched to bank balance sheets to document four facts: (1) an easing in global financial conditions leads to lower borrowing costs and an increase in local lending; (2) domestic banks more exposed to international capital markets transmit the GFC locally; (3) the fall in local currency borrowing costs is larger than foreign currency borrowing costs due to the comovement of the uncovered interest rate parity (UIP) premium with the GFC over time; (4) data on posted collateral for new loan issuances show that collateral constraints do not relax during the boom phase of the GFC.

This paper evaluates the welfare impact of observed levels of migration and remittances in both origins and destinations, using a quantitative multi-sector model of the global economy calibrated to aggregate and rm-level data on 60 developed and developing countries. Our framework accounts jointly for origin and destination characteristics, as well as the inherently multi-country nature of both migration and other forms of integration, such as international trade and remittance ows. In the presence of rm heterogeneity and imperfect competition larger countries enjoy a greater number of varieties and thus higher welfare, all else equal. Because of this eect, natives in countries that received a lot of migration { such as Canada or Australia { are better o. The remaining natives in countries with large emigration ows { such as Jamaica or El Salvador { are also better o due to migration, but for a dierent reason: remittances. The quantitative results show that the welfare impact of observed levels of migration is substantial, at about 5 to 10% for the main receiving countries and about 10% for the main sending countries.

This paper uses a database covering the universe of French firms for the period 1990-2007 to provide a forensic account of the role of individual ifrms in generating aggregate fluctuations. We set up a simple multi-sector model of heterogeneous firms selling to multiple markets to motivate a theoretically-founded set of estimating equations that decompose firms' annual sales growth rate into different components. We find that the firm-specic component contributes substantially to aggregate sales volatility, mattering about as much as the components capturing shocks that are common across firms within a sector or country. We then decompose the firm-specific component to provide evidence on two mechanisms that generate aggregate fluctuations from microeconomic shocks highlighted in the recent literature: (i) when the rm size distribution is fat-tailed, idiosyncratic shocks to large rms contribute to aggregate fluctuations (the "granularity" hypothesis of Gabaix, 2011), and (ii) sizable aggregate volatility can arise from idiosyncratic shocks due to input-output linkages across the economy (Acemoglu et al., 2012). We find that firm linkages are approximately twice as important as granularity in driving aggregate fluctuations.

Firm size follows Zipf's Law, a very fat-tailed distribution that implies a few large firms account for a disproportionate share of overall economic activity. This distribution of firm size is crucial for evaluating the welfare impact of economic policies such as barriers to entry or trade liberalization. Using a multi-country model of production and trade calibrated to the observed distribution of firm size, we show that the welfare impact of high entry costs is small. In the sample of the largest 50 economies in the world, a reduction in entry costs all the way to the U.S. level leads to an average increase in welfare of only 3.25%. In addition, when the firm size distribution follows Zipf's Law, the welfare impact of the extensive margin of trade -- newly imported goods -- is negligible. The extensive margin of imports accounts for only about 5.2% of the total gains from a 10% reduction in trade barriers in our model. This is because under Zipf's Law, the large, infra-marginal firms have a far greater welfare impact than the much smaller firms that comprise the extensive margin in these policy experiments. The distribution of firm size matters for these results: in a counterfactual model economy that does not exhibit Zipf's Law the gains from a reduction in fixed entry barriers are an order of magnitude larger, while the gains from a reduction in variable trade costs are an order of magnitude smaller.

This paper examines the mechanisms through which bilateral trade linkages afiect business cycle comovement using an industry-level panel dataset of manufacturing production and trade. We establish that higher bilateral trade in an individual sector increases both the comovement within the sector between trading countries, as well as the comovement between that sector and the rest of the economy of the trading partner. The estimated magnitudes imply that transmission across sectors is responsible for nearly 90% of the total impact of higher bilateral trade on the business cycle correlation. We also demonstrate that vertical linkages in production are an important force behind the overall impact of trade on business cycle synchronization. The elasticity of comovement with respect to bilateral trade is signiflcantly higher in industry pairs that use each other as intermediate inputs in production. Our estimates indicate that vertical production linkages account for some 19% of the total impact of bilateral trade on business cycle correlation.

Forward-looking behavior on the part of the monetary authority makes it difficult to estimate the effect of monetary policy interventions on output. We present instrumental variables estimates of the impact of interest rates on quarterly real output for several European countries, using German interest rates as the instrument. These estimates confirm a strong forward-looking bias in least squares estimates that persists even conditional on standard controls for the history of the system. Due to the potential for correlation of output shocks across countries, we interpret our estimates as lower bounds for the effect of monetary policy on real output. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.

What key roles do macroeconomic and financial variables play in the foreign direct investment (FDI) decision of firms? This question is addressed in this paper using a large panel data set of cross-border Merger & Acquisition (M&A) deals for the period 1990–1999. Various econometric specifications are built around the simple “gravity model” commonly used in the trade literature. Interestingly, financial variables and other institutional factors seem to play a significant role in M&A flows. In particular, the size of financial markets, as measured by the stock market capitalization to GDP ratio, has a strong positive association with domestic firms investing abroad . This result points to the importance of domestic financial conditions in stimulating international investment during the boom years of 1990s, and accords with the significant drop in cross-border M&As in recent years.

This paper evaluates the global welfare impact of China's trade integration and technological change in a quantitative Ricardian-Heckscher-Ohlin model implemented on 75 countries. We simulate two alternative productivity growth scenarios: a "balanced" one in which China's productivity grows at the same rate in each sector, and an "unbalanced" one in which China's comparative disadvantage sectors catch up disproportionately faster to the world productivity frontier. Contrary to a well-known conjecture (Samuelson, 2004), the large majority of countries in the sample, including the developed ones, experience an order of magnitude larger welfare gains when China's productivity growth is biased towards its comparative disadvantage sectors. We demonstrate both analytically and quantitatively that this finding is driven by the inherently multilateral nature of world trade. As a separate but related exercise we quantify the worldwide welfare gains from China's trade integration.

The External Balance Assessment (EBA) methodology has been developed by the IMF’s Research Department as a successor to the CGER methodology for assessing current accounts and exchange rates in a multilaterally consistent manner. Compared to other approaches, EBA emphasizes distinguishing between the positive empirical analysis and the normative assessment of current accounts and exchange rates, and highlights the roles of policies and policy distortions. This paper provides a comprehensive description and discussion of the 2013 version (“2.0”) of the EBA methodology, including areas for its further development.

This paper evaluates the global welfare impact of China’s trade integration and technological change in a quantitative Ricardian-Heckscher-Ohlin model implemented on 75 countries. We simulate two alternative productivity growth scenarios: a "balanced" one in which China’s productivity grows at the same rate in each sector, and an "unbalanced" one in which China’s comparative disadvantage sectors catch up disproportionately faster to the world productivity frontier. Contrary to a well-known conjecture (Samuelson, 2004), the large majority of countries in the sample, including the developed ones, experience an order of magnitude larger welfare gains when China’s productivity growth is biased towards its comparative disadvantage sectors. We demonstrate both analytically and quantitatively that this finding is driven by the inherently multilateral nature of world trade. As a separate but related exercise we quantify the worldwide welfare gains from China’s trade integration.

Existing estimates of power laws in firm size typically ignore the impact of international trade. Using a simple theoretical framework, we show that international trade systematically affects the distribution of firm size: the power law exponent among exporting firms should be strictly lower in absolute value than the power law exponent among non-exporting firms. We use a dataset of French firms to demonstrate that this prediction is strongly supported by the data, both for the economy as a whole and at the industry level. Furthermore, the differences between power law coefficients for exporters and non-exporters are larger in sectors that are more open to trade. While estimates of power law exponents have been used to pin down parameters in theoretical and quantitative models, our analysis implies that the existing estimates are systematically lower than the true values. We propose two simple ways of estimating power law parameters that take explicit account of exporting behavior.

This paper proposes a new mechanism by which country size and international trade affect macroeconomic volatility. We study a multi-country, multi-sector model with heterogeneous firms that are subject to idiosyncratic firm-specific shocks. When the distribution of firm sizes follows a power law with an exponent close to -1, the idiosyncratic shocks to large firms have an impact on aggregate output volatility. We explore the quantitative properties of the model calibrated to data for the 50 largest economies in the world. Smaller countries have fewer firms, and thus higher volatility. The model performs well in matching this pattern both qualitatively and quantitatively: the rate at which macroeconomic volatility decreases in country size in the model is very close to what is found in the data. Opening to trade increases the importance of large firms to the economy, thus raising macroeconomic volatility. Our simulation exercise shows that the contribution of trade to aggregate fluctuations depends strongly on country size: in the largest economies in the world, such as the U.S. or Japan, international trade increases volatility by only 1.5-3.5%. By contrast, trade increases aggregate volatility by some 15-20% in a small open economy, such as Denmark or Romania.

The value of human capital wealth and its return process are important to quantify in order to study consumption behavior and portfolio allocation. This paper introduces a new approach to measure the value of an economy's total human capital wealth. By assuming that the consumption to wealth ratio is constant, we exploit aggregate consumption data to recover total wealth, and then use household non-human capital wealth data to recover the value of human capital wealth as a residual. Using U.S. data over the period 1952-2007, we find that human capital is approximately three-quarters of total wealth in the aggregate economy, and that this ratio is remarkably stable over time. Applying our methodology to a group of OECD countries yields similar results. We estimate the cointegrating relationship between our estimated measure of human wealth and labor compensation (income) to show that our consumption-based approach estimate of human capital is linked to one based on a labor-income approach. We next calculate the returns to human capital and find them to be as high as equity returns on average but much less volatile; positively correlated with returns on real estate and consumption growth, but negatively correlated to equity returns. Finally, we show that both human capital and equity returns are predictable by human capital's dividend to price ratio.

This paper proposes a new channel through which international trade affects macroeconomic volatility. We study a multi-country model with heterogeneous firms that are subject to idiosyncratic firm-specific shocks. When the distribution of firm sizes follows a power law with exponent sufficiently close to −1, the idiosyncratic shocks to large firms have an impact on aggregate volatility. Opening to trade increases the importance of large firms to the economy, thus raising macroeconomic volatility. We next explore the quantitative properties of the model calibrated to data for the 50 largest economies in the world. Our simulation exercise shows that the contribution of trade to aggregate fluctuations depends strongly on country size: in an economy such as the U.S., that accounts for one-third of world GDP, international trade increases volatility by about 3.5%. By contrast, trade increases aggregate volatility by some 30% in a small open economy, such as Belgium or Poland. The model performs well in matching the elasticity of macroeconomic volatility with respect to country size observed in cross-country data.

Financial globalization has increased dramatically over the past three decades, particularly for advanced economies, while emerging market and developing countries experienced more moderate increases. Divergences across countries stem from different capital control regimes, and factors such as institutional quality and domestic financial development. Although, in principle, financial globalization should enhance international risk sharing, reduce macroeconomic volatility, and foster economic growth, in practice its effects are less clear-cut. This paper envisages a gradual and orderly sequencing of external financial liberalization and complementary reforms in macroeconomic policy framework as essential components of a successful liberalization strategy.

This paper applies a simple probabilistic approach to debt sustainability analysis to the case of Lebanon. The paper derives "fan charts" to depict the probability distribution of the government debt to GDP ratio under a medium-term adjustment scenario, as a result of shocks to GDP growth and interest rates. The distribution of shocks is derived from the past shocks to these variables and the related variance covariance. Because we are interested in assessing the sustainability of a particular policy scenario, we do not consider independent fiscal policy shocks or the endogenous policy response to shocks.

This paper examines the mechanisms through which trade openness affects output volatility using an industry-level panel dataset of manufacturing production and trade. The main results are threefold. First, sectors more open to international trade are more volatile. Second, trade leads to increased specialization. These two forces act to increase aggregate volatility. Third, sectors which are more open to trade are less correlated with the rest of the economy, an effect that acts to reduce overall volatility. The point estimates indicate that each of the three effects has an appreciable impact on aggregate volatility. Added together they imply that the overall e®ect of trade openness is positive and economically signi¯cant. This impact also varies a great deal with country characteristics. We estimate that the same increase in openness raises aggregate volatility five times more in developing countries compared to developed ones. Finally, we find that the marginal impact of openness on volatility roughly doubled in the last thirty years, implying that trade exerts a larger influence on volatility over time.

Financial globalization has increased dramatically over the past three decades, particularly for advanced economies, while emerging market and developing countries experienced more moderate increases. Divergences across countries stem from different capital control regimes, and factors such as institutional quality and domestic financial development. Although, in principle, financial globalization should enhance international risk sharing, reduce macroeconomic volatility, and foster economic growth, in practice its effects are less clear-cut. This paper envisages a gradual and orderly sequencing of external financial liberalization and complementary reforms in macroeconomic policy framework as essential components of a successful liberalization strategy.

It is often argued that small economies are affected by conditions in large countries. This paper explores the connection between interest rates in major industrial countries and annual real output growth in other countries. The results show that high large-country interest rates have a contractionary effect on annual real GDP growth in the domestic economy, but that this effect is centered on countries with fixed exchange rates. The paper then examines the potential channels through which large-country interest rates affect small economies. The direct monetary policy channel is the most likely channel when compared with other possibilities, such as a general capital market effect or a trade effect.

It has been observed that more open countries experience higher output growth volatility. This paper uses an industry-level panel dataset of manufacturing production and trade to analyze the mechanisms through which trade can affect the volatility of production. We find that sectors with higher trade are more volatile and that trade leads to increased specialization. These two forces act to increase overall volatility. We also find that sectors which are more open to trade are less correlated with the rest of the economy, an effect that acts to reduce aggregate volatility. The point estimates indicate that each of the three effects has an appreciable impact on aggregate volatility. Added together they imply that a one standard deviation change in trade openness is associated with an increase in aggregate volatility of about 15% of the mean volatility observed in the data. The results are also used to provide estimates of the welfare cost of increased volatility under several sets of assumptions. We then propose a summary measure of the riskiness of a country's pattern of export specialization, and analyze its features across countries and over time. There is a great deal of variation in countries' risk content of exports, but it does not have a simple relationship to the level of income or other country characteristics

This paper examines the mechanisms through which output volatility is related to trade openness using an industry-level panel dataset of manufacturing production and trade. The main results are threefold. First, sectors more open to international trade are more volatile. Second, trade is accompanied by increased specialization. Third, sectors that are more open are less correlated with the rest of the economy. The point estimates indicate that each of the three effects has an appreciable impact on aggregate volatility. Added together they imply that the relationship between trade openness and overall volatility is positive and economically significant.

What macroeconomic and financial variables play key roles in the foreign direct investment decision (FDI) of firms? This question is addressed in this paper using a large panel data set of cross-border Merger & Acquisition (M&A) deals for the period 1990-1999. Various econometric specifications are built around the simple "gravity model" commonly used in the trade literature. Interestingly, financial variables and other institutional factors seem to play a significant role in M&A flows. In particular the size of financial markets, as measured by the stock market capitalization to GDP ratio and the credit provided to the private sector by financial institutions to GDP ratio in the domestic economy, have sizeable positive effects on the incentives for domestic firms to invest abroad.

It has been suggested that countries whose exports are in especially risky sectors will experience higher output volatility. This paper develops a measure of the riskiness of a country’s pattern of export specialization, and illustrates its features across countries and over time. The exercise reveals large cross-country difierences in the risk content of exports. This measure is strongly correlated with the volatility of terms-of-trade, total exports, and output, but does not exhibit a close relationship to the level of income, overall trade openness, or other country characteristics. We then propose an explanation for what determines the risk content of exports, based on the theoretical literature exemplifled by Turnovsky (1974). Countries with acomparative advantage in safe sectors or a strong enough comparative advantage in risky sectors will specialize, whereas countries whose comparative advantage in risky sectors is not too strong will diversify their export structure to insure against export income risk. We use both non-parametric and semi-parametric techniques to demonstrate that these theoretical predictions are strongly supported by the data.

This paper explores the connection between interest rates in major industrial countries and annual real output growth in other countries. The results show that high large-country interest rates have a contractionary effect on annual real GDP growth in the domestic economy, but that this effect is centered on countries with fixed exchange rates. The paper then examines the potential channels through which large-country interest rates affect small economies. The direct monetary policy channel is the most likely channel when compared with other possibilities, such as a general capital market effect or a trade effect.