Public Capital Formation and Regional Development in Spain

This paper uses a vector autoregression (VAR) approach to evaluate the effects of public investment on private sector performance in Spain. Empirical results suggest that public investment positively affected private investment, employment, and output at both aggregate and regional levels. The regions that benefited the most from public investment in the last two decades were Cataluña, Madrid, and Pais Vasco. These regions are among the largest economic areas in the country and among the ones with the highest GDP per capita. Accordingly, public investment, while an important factor for aggregate economic growth, has also been a source of increasing regional asymmetries.     

The effect of informal employment and corruption on income levels in Brazil

This paper exploits a unique dataset on corruption and informal sector employment in 476 Brazilian municipalities to estimate whether corruption impacts GDP or income levels once variation in informal economic activity is taken into account. Overall, I find that higher levels of corruption and a large informal economy are generally associated with poor economic outcomes. However, only the size of the informal economy has a statistically significant effect. This effect is robust to the inclusion of a variety of controls and fixed effects, as well as an instrumental variable analysis. Further, these effects are large in magnitude. For example, a one standard deviation increase in the share of total employees that are informally employed explains a decrease in GDP per-capita of about 18%.     

Oil shocks,US economic uncertainty,and emerging stock markets

This paper investigates the impacts of oil price shocks and US economic uncertainty on emerging equity markets within a structural VAR model. I find that both precautionary oil demand and US economic uncertainty shocks have significant negative effects on emerging stock returns, whereas aggregate demand shocks cause a sustained rise of the returns. In particular, the direct effects of oil shocks on emerging stock returns are amplified by the endogenous response of US economic uncertainty. Variance decomposition analysis shows that oil market fundamentals and US economic uncertainty are an important determinant of emerging equity returns, accounting for 35% and 24% of their long-term variations, respectively. The heterogeneous impacts of structural shocks on individual emerging markets, however, suggest that a well-diversified portfolio can be obtainable.     

ICT-specific technological progress in the United Kingdom

This paper analyses the impact of rapid technological change in the information and communications technology (ICT) sector on economic growth in the United Kingdom. We find that technological progress specific to the ICT sector accounts for around 20–30% of long-run labor productivity growth. We demonstrate that a permanent increase in the growth rate of ICT-specific technological progress will increase the investment expenditure share of GDP but lower the aggregate depreciation rate, while an increase in the return to investment in ICT will increase both the expenditure share and the depreciation rate.     

Exchange rate uncertainty and firm investment plans evidence from Swiss survey data

A sudden change in monetary policy happened in Switzerland on January 15th, 2015. The Swiss National Bank removed the lower exchange rate bound vis-à-vis the Euro. We believe that uncertainty concerning a vital economic indicator as the exchange rate should influence economic activities. We argue that the unexpected removal of the lower bound induced a temporary uncertainty about future prices in foreign markets and believe that this influenced firm investment in the short term. We exploit the unexpected change in monetary policy as a natural experiment and use the continuous nature of business tendency surveys to determine the role of uncertainty in the immediate aftermath of the event. Changes in firm-level expectations are measured by specially designed survey questions. We use this information to disentangle first and second moment effects. We find that uncertainty negatively affects investment in equipment and machinery through real-option effects and believe that uncertainty positively influences expenditures in research and development through growth-option effects. Finally, we argue that focusing on aggregate gross fixed capital formation masks important insights and suggest the use of disaggregated investment data in future research on the relationship between uncertainty and investment.     

Inflation and output growth uncertainty in individual survey expectations

This paper studies uncertainty using the ECB Survey of Professional Forecasters’ data. Both inflation and real GDP growth forecasts at the micro level are considered. Our analysis indicates that individual inflation uncertainty is closely related to output growth uncertainty. Individual forecasters seem to behave according to an uncertainty-augmented hybrid specification of the New Keynesian Phillips curve. We also find evidence that inflation uncertainty has a negative impact on economic activity by lowering output growth, boosting inflation and reducing the price-sensitiveness of aggregate supply.     

Economic policy uncertainty and economic activity in Turkey

We construct economic policy uncertainty (EPU) index for Turkey based on newspaper coverage frequency. The EPU index reflects the frequency counts of articles in major Turkish newspapers that contain specific terms related to economy, policy and uncertainty. The EPU index rises around national elections (2002, 2007 and 2015), domestic uncertainty periods (2008 and 2013), domestic and global financial crisis periods (2001 and 2009) and the Euro area debt crisis in 2011. The investigation of the impact of EPU on economic activity reveals that policy uncertainty has adverse impacts on economic growth, consumption and investment in Turkey. Remarkable is that high uncertainty leads to a greater investment decline than output and consumption.     

Book Reviews

Theory suggests that the level of uncertainty affects the investment decision for firms, although the sigh of the effect is ambiguous. A GARCH-M estimator is used to model the conditional variance of GDP as a proxy for uncertainty. This measure is then employed in a simple model of the investment decision. The results are that the level of aggregate uncertainty has a significant negative effect on manufacturing investment. In particular periods there were very large effects - on average, uncertainty reduces investment by about 5%, but in 1974 the effect peacked at 48%.     

Uncertainty and Investment: Some Evidence from the Panel Data of Japanese Manufacturing Firms

We analyse empirically the effect of uncertainty on fixed investment based on a panel data set of Japanese manufacturing firms. The uncertainty measure, represented by the conditional standard deviation of the sales growth rate, is constructed by employing three different statistical models. We also decompose the demand uncertainty into aggregate, industry-wide, and firm-specific forms of uncertainty. We find that uncertainty, in particular aggregate and industry-wide uncertainty, exerts a significantly negative effect on investment irrespective of the statistical methods chosen. We also find that this negative relationship between investment and uncertainty is closely related to the degree of irreversibility of capital.
JEL Classification Number: D92.     

出口与中国的经济增长:需求导向的分析

出口的增长除了能够直接推动经济增长之外,还对消费、投资、政府支出、进口造成影响,从而间接刺激经济增长。完整地考察出口与经济增长之间的关系必须同时考虑出口增长对经济增长的直接和间接推动作用。按此方法估计的结果表明,20世纪90年代以来外贸出口每增长10%,基本上能够推动GDP增长1%。     

Heterogeneity in the dynamic effects of uncertainty on investment

We examine how aggregate profit uncertainty influences capital investment activities, focusing on heterogeneous responses of firms. We model aggregate profit uncertainty as the conditional standard deviation of a common factor across unforecasted fluctuations in the sales growth of different industries and exploit cross‐sectional variations for its estimation. From an investment forecasting model that coherently analyzes firm‐ or group‐specific effects of uncertainty, we find that the direction and the size of investment adjustment vary considerably across firms, with a significant but small negative average impact. Our results highlight the importance of accounting for heterogeneity in the transmission of uncertainty, allowing us to reconcile different views on the effect of uncertainty in the existing literature.     

Fear itself: How risk sensitive firms can give demand shocks bite

Many economists believe that recessions arise when aggregate demand is insufficient to support full employment. However, replicating this intuition within a real business cycle (RBC) model has proven surprisingly challenging. Rather than eliciting a contraction, lower consumer demand leads to greater household savings in many such models, fueling new investment and causing the economy to expand. The present paper proposes a novel way to resolve this apparent paradox: risk-averse firms. In the model to follow, cautious firms reduce their demand for investment prior to a recession. This contraction in the demand for capital overcomes the increased supply arising from consumer savings and restores intuitive business cycle behavior. In particular, the paper demonstrates that the model economy contracts when subjected to an uncertainty shock in consumer demand, mimicking a pre-recessionary environment in which firms, fearing a lack of orders, precipitate the downturn by reducing capital expenditures. These results are consistent with microeconomic evidence that uncertainty, particularly uncertainty about future demand, is the primary reason for firms shedding workers or scaling down operations in advance of an economic downturn. More generally, they imply that firm's attitudes towards risk shouldn't be ignored in modern macroeconomic models.     

Business investment in euro area countries: the role of institutions and debt overhang

The recovery of business investment in the euro area has been sluggish, thereby hampering aggregate demand in the short term and potential growth in the long run. While we show that business investment can be associated to cost and supply of credit, cyclical demand conditions and economic uncertainty. But we also find evidence of additional factors. We suggest that there exists a link between excess leverage and weak economic institutions on the one hand and subdued investment growth on the other hand. Moreover, in euro area countries with both larger excess leverage and weaker economic institutions, the link with business investment is found to be stronger. The link between investment and weak institutions or excess leverage highlights the importance of structural reforms aimed at easing business regulations, reducing administrative burdens and increasing the efficiency of insolvency frameworks. These reforms are thus expected to reduce distortions in the allocation of resources and be supportive of a smoother deleveraging process, hence fostering business investment.     

Terrorism and the world economy

It has been argued that terrorism should not have a large effect on economic activity, because terrorist attacks destroy only a small fraction of the stock of capital of a country (see, e.g., Becker, G., Murphy, K., 2001. Prosperity will rise out of the ashes. Wall Street Journal October 29, 2001). In contrast, empirical estimates of the consequences of terrorism typically suggest large effects on economic outcomes (see, e.g., Abadie, A., Gardeazabal, J., 2003. The economic cost of conflict: A case study of the Basque country. American Economic Review 93, 113-132). The main theme of this article is that mobility of productive capital in an open economy may account for much of the difference between the direct and the equilibrium impact of terrorism. We use a simple economic model to show that terrorism may have a large impact on the allocation of productive capital across countries, even if it represents a small fraction of the overall economic risk. The model emphasizes that, in addition to increasing uncertainty, terrorism reduces the expected return to investment. As a result, changes in the intensity of terrorism may cause large movements of capital across countries if the world economy is sufficiently open, so international investors are able to diversify other types of country risks. Using a unique data set on terrorism and other country risks, we find that, in accordance with the predictions of the model, higher levels of terrorist risks are associated with lower levels of net foreign direct investment positions, even after controlling for other types of country risks. On average, a standard deviation increase in the terrorist risk is associated with a fall in the net foreign direct investment position of about 5% of GDP. The magnitude of the estimated effect is large, which suggests that the “open-economy channel” impact of terrorism may be substantial.     

Public overspending in higher education

We study the trade-off between governmental investments in pretertiary and tertiary education from an efficiency point of view. We develop a model comprising agents with different incomes and abilities, public and private schools, and public universities that select applicants based on an admission exam. Reallocating governmental resources from tertiary to pretertiary education may positively affect aggregate production and human capital if some conditions are satisfied. For instance, in an economy with a high proportion of credit-constrained students, a reallocation of expenditure toward public schools benefits many students, compensating for the negative effect of a decrease in public university investments. We also quantitatively investigate the optimal allocation of public investment between pretertiary and tertiary education, and we find that a 10% increase in productivity of public investments in pretertiary education could increase the optimal GDP between 2.1% and 3%.     

Sectoral Employment Dynamics in Australia and the COVID-19 Pandemic

We develop a multivariate time series model of employment in 19 sectors for Australia. We use this model to determine the long-run effect of a 1% increase in economic activity in any chosen sector on aggregate employment. Our findings point to manufacturing and construction sectors as those that generate the largest positive spillovers for the aggregate economy. Moreover, we provide an interactive web-based app that produces our model's forecasts based on any user-specified scenario. As the restrictions associated with the COVID-19 pandemic evolve, the sectoral employment multipliers together with these interactive tools will provide useful information for policymakers.     

Capital Constraints and Employmen

Abstract
This article considers whether capital is a significant constraint on employment in Australia. We calculate the level of capital-constrained employment for seven sectors of the Australian economy. The calculations suggest that the manufacturing; transport, storage and communication; and recreation, personal and other services sectors have sufficient capital installed to increase employment. In two other sectors, mining and wholesale and retail trade, the potential for increases in employment through increased capital utilisation may be constrained by surplus labour (as of June 1993). While some sectors are capital constrained at the moment, we find that the investment requirements to increase employment in these sectors are not onerous. We also project investment requirements in each of the sectors for employment growth over the next five years. These projections suggest that a jump in investment followed by relatively modest growth is required to sustain growth in employment.     

Economic impacts of the Natural Forest Protection Program in Yunnan Province, China： an input-output analysis

The paper assesses the economic impacts of the natural forest protection program （NFPP） on the economy of Yunnan Province, China.in terms of gross output, value added,employment, and household income. An inputoutput model is developed to estimate NFPP＇s economic impacts by means of backward linkages in the forestry sector and logging and haudage sector. It is found than the NFPP has positive impacts on gross output, value added and houschold income in the initial year, but has significantly negative impacts on the regional economy in the following years as the investment decreases.     

The role of agriculture in aggregate business cycles

There are substantial differences in business cycle fluctuations across countries. These differences are systematically related to the share of agriculture in the economy: Countries with a high share of employment in agriculture feature high fluctuations in aggregate output, low relative volatility of aggregate employment, and low correlation of aggregate output and employment. In addition, agriculture has certain distinctive features over the business cycle: Output and employment in agriculture are more volatile than and not positively correlated with output and employment in the rest of the economy and output and employment are less correlated in agriculture than in non-agriculture. Because of these features, agriculture may play a role in accounting for aggregate business cycles across countries. We calibrate an otherwise standard two-sector indivisible-labor business cycle model with agriculture and non-agriculture to aggregate and sectoral data for the United States. We find that an increase in the employment to population ratio in agriculture from 2 to 30 percent in our model increases fluctuations in aggregate output by almost 40 percent. This is about 2/3 of the difference in aggregate fluctuations between countries such as Turkey and the United States.     

Volatility in productivity and the impact on unemployment

Volatility, and the uncertainty it creates, has long been recognized as a factor in economic decision making. Since hiring occurs before shocks to productivity are realized, firms’ investment in new labour is inherently risky. How large a role uncertainty in productivity has on aggregate unemployment is an empirical question that we attempt to answer. In this paper we measure the impact of higher volatility in labour productivity on the unemployment rate in the U.S. economy using a SVAR-GARCH-M model. Using the conditional standard deviation of productivity innovations from a multivariate GARCH model to measure uncertainty, we provide compelling evidence that unemployment increases with volatility. This estimated relative effect is actually larger for positive productivity shocks leading to unemployment declines only 60% as large as would have occurred using models that exclude uncertainty.