The impact of deviation from relative purchasing power parity equilibrium on U.S. foreign direct investment

Analyzing inbound and outbound foreign direct investment (FDI) between the U.S. and seven developed countries over the period from 1994 to 2004, this study provides strong evidence for a positive relationship between aggregate FDI flows and a strengthening of a home currency. Further, taking exchange rate disequilibrium into account, we find that an increase in U.S. inbound FDI is related to a strengthening of an undervalued and overvalued U.S. dollar, while an increase in U.S. outbound FDI (foreign inbound FDI) is mainly related to a strengthening of an overvalued foreign currency. Disaggregate FDI flow data show that these findings hold mainly for the manufacturing (food and machinery) and the wholesale industry. We argue that our findings may provide evidence for a co-existence of the wealth-effect hypothesis and a more profit and production oriented hypothesis, once the U.S. dollar is undervalued. Additionally, the results support the argument that the profit and production oriented hypothesis dominates the wealth effect in developed countries, especially in the manufacturing and wholesale industry. Moreover, the results support the view that foreign investors are interested in how overvalued or undervalued a currency is, rather than being interested only in the recent direction of change in the exchange rate. Finally, all findings are robust with respect to several estimation procedures.     

New evidence on the link between exchange rates and asset-seeking acquisition FDI

Blonigen (1997) proposes a link between exchange rates and foreign direct investment (FDI) motivated to acquire complementary assets (i.e., asset-seeking acquisition FDI). However, previous studies have only examined this hypothesis with acquisition FDI data from a country source that are mostly U.S. inbound. In this paper I examine the hypothesis using the acquisition FDI data from multiple country sources that are inbound for various countries. I find evidence in support of this hypothesis for U.S. inbound acquisition FDI from multiple country sources, but not inbound acquisition FDI for other various developed countries.     

The effect of exchange rate volatility on U.S. bilateral trade with Africa: A symmetric and asymmetric analysis

The impact of exchange rate volatility on U.S. trade with the world or on U.S. trade with major partners has been assessed by many researchers, but none have considered the case of U.S. trade with African nations. We fill this gap by assessing the symmetric and asymmetric impact of the real bilateral exchange rate volatility between the U.S. dollar and each African partner’s currency on the U.S. trade flows with each of the 20 partners from Africa. We found asymmetric short-run effects of exchange rate volatility on almost all U.S. exports to and imports from each of the 20 countries. In addition, significant long-run asymmetric effects were discovered in the case of U.S. exports to 15 countries and U.S. imports from 12 countries. Our findings are partner-specific.     

The J-Curve: Evidence from commodity trade between Canada and the U.S.

Several studies in the literature have tried to assess the impact of real depreciation of the Canadian dollar on the Canadian trade balance. They have either relied on the trade data between Canada and the rest of the world or between Canada and her major trading partners. In this paper we consider the trade between Canada and her major trading partner, the U.S. However, unlike previous research, we disaggregate the trade data between the two countries by commodity. We use export and import data over the period 1962–2004 from 152 commodities and the bounds testing approach to cointegration and error-correction modeling and show that real depreciation of the Canadian dollar has short-run effects on the trade balance of two-thirds of the industries. However, only in 50% of the industries, the short-run effects translate into the long-run favorable effects.

U.S.-German commodity trade and the J-curve: New evidence from asymmetry analysis

Since the introduction of the nonlinear ARDL approach and asymmetric cointegration and error-correction modeling, old relations are receiving renewed attention, and the link between the trade balance and the exchange rate is no exception. We add to this new literature by using industry-level data from 59 2-digit industries that trade between the U.S. and Germany. We find that when the old approach of the linear model was used, the real dollar-euro rate had short-run effects in 17 industries that lasted into the long run in 26 industries. However, when the nonlinear model was estimated, we found short-run asymmetric effects of exchange rate changes in 49 industries, which lasted into long-run asymmetric effects in 28 industries. The J-curve effect was supported in a total of 18 industries.     

Globalisation and technological convergence in the EU

We employ a two-step approach in investigating the dynamic transmission channels under which globalization factors foster technical efficiency by combining a dynamic efficiency analysis in the stochastic frontier framework, and a time series approach based on VAR and spectral analysis. Using the dataset of the 18 EU countries over 1970–2004, we find that both import and FDI are significant factors in spreading efficiency externalities and thus accelerating technology catch-up in the EU. In particular, the impacts of the import are more prominent in the short-run while those of FDI play a more important role over the longer-run. Furthermore, the impacts of the import are pro-cyclical only in the short-run whereas those of FDI are pro-cyclical mostly over the medium- to the long-run. This evidence is broadly consistent with the sample observation that the recent slowdown of the EU productivity has been closely related to the corresponding FDI decline especially after 2000. Hence, any protection-oriented policy will be likely to be more detrimental for the EU.     

Cointegration of U.S. budget and current account deficits: Twins or strangers?

In this paper the authors employ the cointegration approach to explore empirically the existence of a possible long-run equilibrium relationship between the U.S. budget deficits and the current account deficits. This study uses annual nominal data in levels for the postwar period 1946–1988. Both the DW and the ADF tests confirm that the two deficits are not cointegrated. It implies that the two deficits have no possibility of reverting to a long-run equilibrium relation.     

U.S. productivity in agriculture and R&D

This paper examines the impact of R&D on multifactor productivity in the U.S. agricultural sector over the 1910–1990 period. We use the Bennet–Bowley indicator to measure agricultural productivity based on a multiple output-multiple input technology. We demonstrate the relationship between the price dependent Bennet–Bowley indicator and the Luenberger productivity indicator which is constructed from directional distance functions without requiring price information. These performance measures are dual to the profit function which arguably makes them especially useful in the agricultural setting. We employ time-series techniques to investigate the effect of R&D on the pattern of productivity growth. We find that we cannot reject the presence of a cointegrating relationship between the two series and that productivity growth in the U.S. agriculture responds positively to R&D expenditure with a lag of between four and ten periods.

International transmission of stock price movements: Evidence from the U.S. and five Asian-Pacific markets

Using a vector autoregressive analysis, this paper examines the structure of international transmissions in daily returns for six national stock markets— the U.S., Japan, Hong Kong, Singapore, Taiwan, and Thailand. Our results generally indicate that (1) the degree of interdependence among national stock markets has increased substantially after the 1987 stock market crash, (2) the U.S. market plays a dominant role of influencing the Pacific-Basin markets, (3) Japan and Singapore together have a significant persistent impact on the other Asian markets, and (4) the markets in Taiwan and Thailand are not efficient in processing international news.     

The J-curve dynamics of U.S. bilateral trade

Three earlier studies examined the impact of dollar depreciation on bilateral trade between the United States and her six largest trading partners. They used different methodologies that resulted in different outcomes. In this paper we consider 18 major trading partners of the United States and employ a relatively new method to investigate the short-run as well as the long-run response of the bilateral trade balance to currency depreciation. While as with previous research we are unable to discover any J-curve pattern in the short run, in the long run real depreciation of the dollar has favorable effects on the U.S. trade balance in most cases. Valuable comments of an anonymous referee are greatly appreciated. Any remaining errors, however, are the authors'.     

U.S. uncertainty and Asian stock prices: Evidence from the asymmetric NARDL model

When uncertainty reduces spending among U.S. consumers, it may affect the bottom line stock performance of Asian producers that cater to their needs. Theory predicts that the impact of uncertainty will be asymmetrical: during the two phases of the business cycle, countercyclic shocks will outweigh procyclic shocks, resulting in phase-specific equilibrium price adjustments. We conjecture that relative to recessions, recoveries bring larger long-run price adjustments, a response to pent-up growth potential. This is an extension of existing theories, which predict that recoveries bring overshooting, a transient reaction to pent-up demand. We test for these asymmetric uncertainty effects on 11 Asian stock market indices over the 2000M08 – 2017M02 period. Our independent measures include the economic policy uncertainty index (EPU) of Baker, Bloom, and Davis (2016), the Chicago Board Options Exchange implied volatility index (VIX), and the financial uncertainty indicator (JLN) of Jurado, Ng, and Ludvigson (2015). To characterize asymmetry, we employ the nonlinear autoregressive distributed lag (NARDL) model of Shin, Yu, and Greenwood-Nimmo (2014), in which both short- and long-run nonlinearities are captured through positive and negative partial sum decompositions of the explanatory variable(s). Using the NARDL output, we test three hypotheses. The first, that increases in uncertainty (decreases in uncertainty) result in stock price drops (stock price rises), is broadly supported by our analysis. The second, that equilibrium adjustments following negative countercyclic uncertainty shocks exceed those following positive movements, is supported fully by the EPU analysis and partially by the VIX and JLN analyses. The third hypothesis, that recoveries are characterized by overshooting, is consistent only with the behavior of the Chinese stock responses to EPU and VIX shocks. Our results demonstrate the advantages of the NARDL model in characterizing asymmetry. They suggest that while long-run asymmetry is fairly consistent across countries, short-run asymmetry is more country-specific.     

Estimation and simulation of industry factor demand equations

A factor demand model derived from the Generalized Leontief Cost Function is outlined. The model is estimated for 53 U.S. industries which together make up the entire U.S. economy. The purpose of the model is to provide long-run forecasts of equipment investment and labor productivity within the context of an input-output forecasting model. Extensive discussion is devoted to selection of functional form, modeling of dynamics, and estimation technique, with special emphasis upon the considerations which uniquely confront the forecaster. An array of a priori constraints are imposed upon the estimation, reflecting a body of empirical evidence and theoretical requirements. In addition, elasticity estimates are reported, as well as evidence on the short-run simulation performance of the mode.     

Exploring the role of technology,tourism and financial development: an empirical study of Vietnam

Vietnam is one of the emerging and industrializing developing countries in East Asia that has experienced a growth in tourism, information and communications technology (ICT) and financial development over the last three decades largely supported by significant structural reforms to escalate its path towards modernization and industrialization by 2020. In this paper, we explore the short-run and long-run effects of tourism, ICT and financial development over the period 1980–2010. Further, we examine the causation between these contemporary drivers of growth. The results show tourism has a positive and statistically significant effect in the short-run whereas ICT and financial development have a momentous positive and significant effect in the long-run. The causality results show unidirectional causation from capital per worker, ICT and financial development to output per worker; from ICT and financial development to capital per worker; and from capital per worker to tourism. Further, we also note a bi-directional causation between tourism and output per worker indicating their mutually reinforcing effect in the economy.     

Exchange rate volatility and Spanish-American commodity trade flows

A number of recent studies have tested the impact of exchange rate volatility on trade flows, particularly for individual commodities, for various country pairs. These have found that risk can increase as well as decrease trade, but that oftentimes industries are not affected. This study examines trade between the United States and Spain over the period from 1962 to 2009, for 131 U.S. export industries and 88 import industries. We find that exchange rate volatility has short-run and long-run effects in only a fraction of the cases, but that exports respond more to increased uncertainty than imports do. In all, only 35 of the 74 U.S. export industries are affected (11 positive, 24 negative), whilst only three out of 37 import industries have positive coefficients and 11 have negative ones. We find no evidence that durable or nondurable goods are more likely to respond to volatility, whilst small industries or specialized goods might show more of a positive response.     

Impact of an unexplained component of real exchange rate volatility on FDI: Evidence from transition countries

The aim of this paper is to examine the impact of an unexplained component of real exchange rate volatility on FDI in transition economies. We make an attempt to overcome some problems associated with previous studies; the aggregation problem, inadequate measures of volatility, short-run focus and the endogeneity problem. Using a GARCH specification, we focus on long-run volatility, while we control for the endogeneity problem by applying SYS-GMM estimation. The obtained results show that the impact of the unexplained component of real exchange rate volatility on FDI differs among economic activities since 2000. As part of the re-estimation exercise, we use two alternative measures of volatility to avoid arbitrariness. The obtained results are to a large extent in accordance with the first one.     

Productivity gaps and capacity utilization in the manufacturing sectors of five OECD-countries, 1963–1982

The purpose of this paper is to apply some novel features in the theory of productivity indexes to the measurement of productivity gaps. It advances the proposition that one reason for the persistence of productivity gaps might be that the methodology of measuring gaps does not separate shifts of the production function due to intercountry efficiency from shifts due to intercountry differences in capacity utilization.In this paper we calculate productivity gaps for four OECD countries relative to the U.S., adjusted for cyclical variations in capacity utilization for the period 1963–1982. The theoretical foundation of our measurement is based on a variable cost function approach with short-run fixity of capital. Without adjusting for differences in capacity utilization within the countries, productivity gaps are a mixture of differences in productivity and in capacity utilization.The refereeing process of this paper was handled through C. Morrison.     

Impact of economic growth volatility on income inequality: ASEAN experience

The study attempts to examine the symmetric and the asymmetric impact of volatility of economic growth on the inequality of income in the major ASEAN economies over the period 1980–2015. Financial development, trade openness as a proxy of globalization, inflation, human capital formation, and fiscal policy are utilized as major control variables. The paper tries to explore the causal association between inequality of income distribution and economic growth volatility, exploring simultaneously the long-run association and the short-run dynamics in the time series structure. The study applied Clemente–Montanes–Reyes unit root test to identify the structural break in the time series. Further, the cointegrating relationship of the time series observations was explored by applying the ARDL (linear) bounds test approach along with the nonlinear ARDL for making fruitful comparisons in the long-run relationship among the variables. The countries chosen are Malaysia, Indonesia, Thailand, Singapore and The Philippines. The empirical findings strongly suggest a long-run cointegrating relationship between income inequality and growth volatility with a positive and statistically significant impact. Also, the causality analysis was explored using the Toda and Yamamoto (1995) method of Granger causality. The causality test shows that there exists bidirectional causality from inequality transmission to economic growth volatility. The implications that are developed from this study helps us to understand the various policy reforms in the ASEAN region, that are more transparent and can make these economies less susceptible to risks.     

Nonlinear minimization estimators in the presence of cointegrating relations

In this paper, we consider estimation of a long-run and a short-run parameter jointly in the presence of nonlinearities. The theory developed establishes limit behavior of minimization estimators of the long- and short-run parameters jointly. Typically, if the long-run parameter that is present in a cointegrating relationship is estimated, its estimator will be superconsistent. Therefore, we may conjecture that the joint minimization estimation of both parameters jointly will result in the same limit distribution for the short-run parameter as if the long-run parameter was known. However, we show that unless a regularity condition holds, this intuition is false in general. This regularity condition, that clearly holds in the standard linear case, is identical to the condition for validity of a two-step Granger–Engle type procedure. Also, it is shown that if the cointegrated variables are measured in deviation from their averages, the standard asymptotic normality result (that one would obtain if the long-run parameter was known) holds.     

The linkage between insurance activity and banking credit: Some evidence from dynamic analysis

This paper investigates the long-run and short-run linkages between insurance activity and banking credit for G-7 countries. To minimize the pretest bias and overcome the structural changes, we adopt the bootstrap Granger causality test applied to full sample and subsamples with a fixed window size. The Johansen cointegration test with GMM-IV estimator finds a long-run positive relation between the series. The full sample results of bootstrap Granger causality test show that there is predictive power from life insurance activity to banking credit only for France and Japan, while the short-run causal relationships between nonlife insurance activity and banking credit are country-specific. However, parameter stability test results suggest that the short-run results in full sample are unreliable. The results of rolling VAR models report that the causal linkages between them are time-varying across various subsamples. These findings offer some useful insights for achieving the co-evolution between insurance and banking credit markets.     

U.S. University Research Parks

University research parks are important as a mechanism for the transfer of academic research findings, as a source of knowledge spillovers, and as a catalyst for national and regional economic growth. We develop a model to describe the growth, or productivity, of research parks, and we test this model using the newly constructed National Science Foundation database on university research parks. We find that parks closer to the university, operated by a private organization, and with a specific technology focus—information technology in particular—grow faster than the average of 8.4% per year.