There is limited evidence about the role that participating in international trade has on the diffusion of technologies. This paper analyzes the impact of exporting on firms’ adoption of technologies that are more sophisticated, using a novel dataset, the Firm-level Adoption of Technology (FAT) survey, that includes more than 1,500 firms from Brazil. The survey provides detailed information about the use of more than 300 technologies, combined with data from Brazil's census of formal workers (RAIS) and Brazil’s exports data from the Ministry of Trade. To address some critical endogeneity concerns, we apply a difference-in-differences estimation with multiple periods to examine the effects of entering export markets on technology adoption. We find that exporting has positive effects on firms’ likelihood of adopting advanced technologies in business functions related with business administration, production planning, supply chain management, and quality control, which are important to manage tasks associated to export activities.

Based on a multisector general equilibrium framework, we show that the sectoral elasticity of substitution plays the key role in the evolution of asymmetric tails of macroeconomic fluctuations and the establishment of robustness against productivity shocks. A non-unitary elasticity of substitution renders a nonlinear Domar aggregation, where normal sectoral productivity shocks translate into non-normal aggregated shocks with variable expected output growth. We empirically estimate 100 sectoral elasticities of substitution, using the time-series linked input-output tables for Japan and find that the production economy is elastic overall, relative to a Cobb-Douglas economy with unitary elasticity. In addition to the previous assessment of an inelastic production economy for the USA, the contrasting tail asymmetry of the distribution of aggregated shocks between the USA and Japan is explained. Moreover, the robustness of an economy is assessed by expected output growth, the level of which is led by the sectoral elasticities of substitution under zero-mean productivity shocks.

The great recession of 2008/2009 had a huge impact on unemployment and public finances in most advanced countries, and these impacts were magnified in the southern Euro area by the sovereign debt crisis of 2010/2011. The fiscal consolidation imposed by the European Union on highly indebted countries was based on the assumptions of so-called expansionary austerity. However, the reality so far provides proof to the contrary, and the results outlined in this article support the opposing view of a self-defeating austerity. Based on a model of the input–output relations of the productive system, an unemployment rate/budget balance trade-off equation is derived, as well as the impact of a strong fiscal consolidation based on social transfers and the notion of a neutral budget balance. An application to the Portuguese case confirms the huge costs of a strong fiscal consolidation, both in terms of unemployment and social policy regress. The conclusion is that too much consolidation in anyone year makes consolidation more difficult in the following year.

This paper quantitatively examines the macroeconomic effects of size-dependent financial frictions on capital misallocation and aggregate total factor productivity. Based on panel data from China’s manufacturing sector, I find that among non-state-owned enterprises, (i) the dispersion of the marginal product of capital is large and persistent and (ii) large firms tend to have higher leverage, and lower mean and dispersion of the marginal product of capital than their small counterparts. This paper analyzes a dynamic stochastic general equilibrium model with heterogeneous agents and size-dependent financial frictions. By calibrating the model to a Chinese firm-level dataset, I show that in addition to matching the aforementioned stylized facts, the economy with a size-dependent borrowing constraint is able to reproduce the observed negative correlation between firm size and the marginal product of capital, as well as generate quantitatively modest TFP loss. Furthermore, ignoring firms’ size-dependent financing patterns may lead to an overstatement of TFP loss due to financial frictions.

Are institutions a deep cause of economic growth? This paper tries to answer this question in a novel manner by focusing on within-country variation, over long periods of time, using a new hand-collected data set on institutions and the power-ARCH econometric framework. Focusing on the case of Brazil since 1870, our results suggest (a) that both changes in formal political institutions and informal political instability affect economic growth negatively, (b) there are important differences in terms of their short- versus long-run behaviour, and (c) not all but just a few selected institutions affect economic growth in the long-run.

There is an extensive literature discussing how individuals’ marriage behavior changes as a country develops. However, no existing data set allows an explicit investigation of the relationship between marriage and economic development. In this paper, we construct new cross-country panel data on marital statistics for 16 OECD countries from 1900 to 2000, in order to analyze such a relationship. We use this data set, together with cross-country data on real GDP per capita and the value added share of agriculture, manufacturing, and services sectors, to document two novel stylized facts. First, the fraction of a country’s population that is married displays a hump-shaped relationship with the level of real GDP per capita. Second, the fraction of the married correlates positively with the share of manufacturing in GDP. We conclude that the stage of economic development of a country is a key factor that affects individuals’ family formation decisions.

Recent papers have suggested that the Industrial Revolution in Europe ultimately derives from the labor scarce economy of northwest Europe, which some trace back to the Black Death [Voigtländer and Voth (2013a) and Allen (2011)]. This paper examines the effects of the Black Death in England. Specifically, did it merely change relative factor prices, or did it lead to lasting gains in the efficiency of the economy after 1348? Extensive wage and price data from England 1210–1800 suggest that the population losses of the Black Death were associated with a surprising increase in economic efficiency, despite the decline in the scale of the economy. But this efficiency gain disappeared when population rose again in the 16th century. There is no sign of a connection between a labor scarce economy, and a switch to faster long run economic growth through technological advance.

The present study examines technical efficiency patterns in Ukraine's crop sector for 1991-1996. The economic and policy environment in Ukraine has changed since reform began in 1991. Many policy changes have exerted offsetting economic pressures on efficiency. Enterprise privatization and the liberalization of prices and trade put upward pressure on technical efficiency, whereas start-stop land privatization efforts, unpredictable government intervention, and slow developments in the credit and labor markets put downward pressure on efficiency. We found that technical efficiency appears to have improved slightly over the 1991-1996 period, suggesting that the positive forces had more impact.

This study examines the short- and long-run effects of changes in macroeconomic variables—agricultural commodity prices, interest rates and exchange rates—on the U.S. farm income. For this purpose, we adopt an autoregressive distributed lag (ARDL) approach to cointegration with quarterly data for 1989–2008. Results show that the exchange rate plays a crucial role in determining the long-ran behavior of U.S. farm income, but has little effect in the short-run. We also find that the commodity price and interest rate have been significant determinants of U.S. farm income in both the short- and long-run over the past two decades.

The effects of the exchange rate, the U.S. agricultural price, the domestic income, and the interest rate on the U.S. net farm income are investigated in a cointegration framework. For this purpose, the Phillips-Hansen fully-modified cointegration (FM-OLS) procedure is applied to annual data for the period 1957-2008. Results suggest that there exists the long-run equilibrium relationship between the U.S. net farm income and the selected macroeconomic variables. We also find that the exchange rate and U.S. agricultural price are more important than other variables in determining the U.S. net farm income.

This paper uses Growth Accounting and Production Function Analysis to decompose the factors behind differences in growth between the UK, France and Germany between 1992 and 2005. Most of the growth differential between the United Kingdom, Germany and France since 1993 can be explained by structural factors. The United Kingdom's higher growth has originated essentially in the finance and business sector, which is ICT-intensive. Germany's weak growth reflects in large part the aftermath of the unification shock and a continued fall in the labour input. At the same time there has been a sharp slowdown in knowledge accumulation, which seems to have restrained labour productivity growth. After EMU, the performance of German manufacturing improved relative to both France and the United Kingdom, while capital deepening became less supportive to growth because of lower investment in infrastructures and dwellings. France's higher growth relative to Germany since 1999 comes essentially from the non-tradable sectors and from a higher labour input. This may be partly related to a more significant decline in the volatility of real interest rates.