Search results

The authors show how to extend difference-in-differences (DiD) frameworks to Granger (1969) equations, a technique that tests for the parallel trends assumption and measures changes in effect sizes over time. To illustrate how these equations work, they apply them to state cutback management decisions in three recessions.

This study applies quantitative methods. The authors estimate DiD frameworks as Granger (1969) equations.

After empirically analyzing recessions that started in 1990, 2001 and 2007, the authors find that states deepen expenditure cuts when economic declines lengthen and tend to make large cuts to specific expenditure categories instead of spreading cuts equally over all service areas.

The authors offer two contributions of methodological value. First, they introduce the estimation of Granger equations to the study of topics in public administration. Second, they show how this technique helps to evaluate the impact of economic declines on state spending. By instituting these contributions, they offer a unique way of analyzing cutback management decisions.

The generation is witnessing the greatest demographic transition and Africa is at the heart of it. There is mounting concern over corresponding rising unemployment and depleting per capita income. The purpose of this paper is to examine the issues from a long-run perspective by assessing the relationships between population growth and a plethora of investment dynamics: public, private, foreign and domestic investments.

Vector autoregressive models in the perspectives of vector error correction and short-run Granger causality are used.

In the long-run population growth will: first, decrease foreign and public investments in Ivory Coast; second, increase public and private investments in Swaziland; three, deplete public investment but augment domestic investment in Zambia; fourth diminish private investment and improve domestic investment in the Congo Republic and Sudan, respectively.

Mainstream positive linkage of population growth to investment growth in the long-term should be treated with extreme caution. Policy orientation should not be blanket, but contingent on country-specific trends and tailored differently across countries. The findings stress the need for the creation of a conducive investment climate (and ease of doing business) for private and foreign investments. Family planning and birth control policies could also be considered in countries with little future investment avenues.

The objective of this study is to provide policy makers with some insights on how future investment opportunities could help manage rising population growth and corresponding unemployment.

This study investigates if the causal relationships between the exchange rates and selected inbound markets’ tourism demand are temporary or permanent, and compares market reactions in Türkiye.

Tourism demand is examined with a regional approach, focusing on the geographical markets, namely Europe, Commonwealth of Independent States (CIS) members and Asian countries, as the top inbound tourism markets, in addition to the total number of inbound tourists to Türkiye. Granger, frequency-domain causality, asymmetric Toda–Yamamoto, and asymmetric frequency-domain causality tests were employed to investigate and compare markets on exchange rate–tourism demand relationship for 2008M01-2020M02.

The results indicate that exchange rates affect European tourism demand both in the short and long run. The meaning of this Frequency Domain Causality (FDC) analysis finding shows that the exchange rate has both permanent and temporary effects on European tourists. The relationships are statistically insignificant for CIS members and Asian countries. The exchange rates also permanently affect total inbound tourism demand, but the independent variable has no short-run (temporary) effects on total demand. Asymmetric causality tests confirmed a permanent causality relationship from the positive and negative components of exchange rates to the positive and negative components of European and total tourism demand.

The Granger causality test provides information on the presence of a causal relation, while the FDC test, an extended version of Granger causality, enlightens the short- (temporary) and long-run (permanent) relationships and allows for analyzing the duration of the impact. In addition, asymmetric causality relationships are also investigated in the study. Besides, this study is the first in the literature to examine the relationship between tourism demand and the exchange rate regionally (continentally) for Türkiye.

The purpose of this study is to attempt to analyze Granger causality in the frequency domain framework between producers' prices measured by wholesale price index (WPI) and consumers' prices measured by consumer price index (CPI) in the context of India.

Analysis was carried out in the framework of time series and for analysis Johansen and Juselius's maximum likelihood approach for cointegration was applied after confirming that variables are integrated of order one, i.e. I(1) through the Lee and Strazicich unit root test. Finally, Granger causality was tested in the frequency domain by utilizing a recently developed approach of Lemmens et al. over the period January 1957‐February 2009.

The paper finds that CPI Granger cause WPI at a lower, intermediate as well as higher levels of frequency, reflecting very long‐run, intermediate as well as short‐run cycles. By contrast WPI Granger cause CPI at 5 percent level of significance was found at intermediate frequencies, reflecting significant intermediate cycles.

The study reveals that CPI is a leading indicator of producers' prices and inflation (i.e. WPI). This gives an indication that Indian policy analysts ought to control for factors affecting CPI in order to have control on WPI since WPI is used for making various macroeconomic indicators in real terms.

The main contribution of the paper is to show the evidence of bidirectional causality between WPI and CPI. Furthermore, use of a recent approach developed by Lemmens et al. for Granger causality in the frequency domain in this study is also relatively new. To the best of the author's knowledge there is no such study in this area either for developed or developing economy to date.

The purpose of this paper is to examine the causal relationship between inward foreign direct investment (FDI) and economic growth in Southern African Development Community (SADC) countries over the period 1980-2012. It also investigates whether the causal relationship between FDI inflows and economic growth is dependent on the level of income.

In order to assess whether the causal relationship between FDI inflows and economic growth is dependent on the level of income, the study divided the SADC countries into two groups, namely, the middle-income countries and the low-income countries. The study used the recent panel-data analysis methods to examine this linkage. The Granger causality test for the middle-income countries was conducted within a vector-error correction mechanism framework; while that of the low-income countries was conducted within a vector autoregressions framework.

The results for the middle-income countries’ panel show that there is a uni-directional causal flow from GDP to FDI, and not vice versa. However, for the low-income countries’ panel, there was no evidence of causality in either direction. The study concludes that the FDI-led growth hypothesis does not apply to SADC countries.

Methodology applied in this study is a bivariate framework which is likely to suffer from the omission of variable bias (Odhiambo, 2008, 2011). Second, the Granger causality analysis employed in this only investigates the direction of causality and whether each variable can be used to explain another, but does not directly test for the mechanisms through which FDI leads to economic growth and economic growth leads to FDI.

Future studies may include a third variable such as domestic savings, exports, or financial development in a trivariate or multivariate panel causality model. A more complete analysis which seeks to explain the channels through which FDI impacts growth is suggested for future studies. Lastly, sector level analysis will help policy makers draft effective industrial policies, which can guide allocation of incentives.

The results of this study support the Growth-led FDI hypothesis, but not the FDI-led growth hypothesis. In other words, it is economic growth that drives FDI inflows into the SADC region and into Southern Africa, and not vice versa. This implies that the recent high economic growth rates that have been recorded in some of the SADC countries, especially the middle-income countries, have led to a massive inflow of FDI into this region.

At the regional level, SADC as a regional bloc has been actively pursuing policies and strategies aimed at attracting FDI into the region. Despite the important role of FDI in economic development, and the increase in FDI inflows into SADC countries in particular, there is a significant dearth of literature on the causal relationship between FDI and economic growth. The study used the recent panel-data analysis methods to examine the causal relationship between FDI and economic growth in SADC countries.

This purpose of this paper is to investigate the existence of cointegration and causality between the stock market price indices of Thailand and its major trading partners (Australia, Hong Kong, Indonesia, Japan, Korea, Malaysia, the Philippines, Singapore, Taiwan, the UK and the USA), using monthly data spanning December 1987 to December 2005.

This paper used both the Engle‐Granger two‐step procedure (assuming no structural breaks) and the Gregory and Hansen test (allowing for one structural break) provide no evidence of a long‐run relationship between the stock prices of Thailand and these countries.

Based on the empirical results obtained from these two residual‐based cointegration tests, potential long‐run benefits exist from diversifying the investment portfolios internationally to reduce the associated systematic risks across countries. However, in the short‐run, three unidirectional Granger causalities run from the stock returns of Hong Kong, the Philippines and the UK to those of Thailand, pair‐wise. Furthermore, there are two unidirectional causalities running from the stock returns of Thailand to those of Indonesia and the USA. Empirical evidence was also found of bidirectional Granger causality, suggesting that the stock returns of Thailand and three of its neighbouring countries (Malaysia, Singapore and Taiwan) are interrelated.

No previous study examines the possibility that the pair‐wise long‐run relationship between the stock prices of Thailand and those of both emerging and developed markets may have been subject to a structural break.

The possibility that government borrowing may crowd out private borrowing has been widely discussed in the popular press and extensively analyzed by researchers. The Clinton Administration's “Operation Twist,” resulting in increased reliance on short‐term securities to fund the Federal deficit, highlights the impact of the maturity structure of Treasury debt issues on interest rates. This paper examines the relationship between changes in the maturity distribution of Treasury issues and Moody's twenty year AA municipal bond yield. Briefly, I find changes in the maturity structure of outstanding Treasury securities Granger‐cause changes in the Moody's twenty‐year AA municipal bond yield. The results suggest that changes in the maturity structure of Treasury borrowing will impact the interest expense of municipal debt issues and therefore the rate of return earned by holders of municipal securities.

The purpose of this paper is to identify the bull and bear regimes in Chinese stock market and empirically analyze the dynamic relation of Chinese stock price-volume pre- and post- the Split Share Structure Reform.

The authors investigate the price-volume relationship in the Chinese stock market before and after the Split Share Structure Reform using Shanghai Composite Index daily data from July 1994 to April 2013. Using a two-state Markov-switching autoregressive model and a modified two-state Markov-switching vector autoregression model, this study identifies bull or bear market and also examine the existence of regime-dependent Granger causality.

Using a two-state Markov-switching autoregressive model, the authors detect structural changes in the market volatility due to the reform, and find evidence of a positive rather than an asymmetric price-volume contemporaneous correlation. There is a strong dynamic Granger causal relation from stock returns to trading volume before and after the reform regardless of the market conditions, but the causal effects of volume on returns are only seen in the bear markets before the reform. The model is robust when using different stock indices and time periods.

The work is different from previous studies in the following aspects: most of the existing empirical literature focus on the well-developed economies, but our interest lies in the emerging Chinese market that has witnessed rapid growth in the past decade; in contrast to many works in the literature that examine the price-volume relationship during one market condition, the authors compare the relationship in a bull market with that in a bear market, using a two-state MS-AR model; the authors also employ a modified two-state Markov-switching vector autoregression model to examine the existence of regime-dependent Granger causality; as the most massive systematic reform for the Chinese stock market since its inception in 2005, the Split Share Structure Reform has a profound impact on the Chinese stock market, thus it is of vital importance to explore its effects on both the price-volume relationship and the market structure.

The purpose of this paper is to study the direction of the causality between tourism development and economic growth in Lebanon between 1995 and 2013, after taking into consideration terrorist incidents and their intensities. These are considered as exogenous shocks that affect tourism development and economic growth instantaneously and with a lag.

To reach the objectives, the authors estimate a vector auto regressive model with exogenous variables, applying a series of unit root tests with and without structural breaks and the Granger causality test.

The findings suggest a positive unidirectional causality running from tourism development to economic growth in the short run. Thus, the authors find evidence for the tourism-led growth hypothesis (TLGH) in Lebanon despite the exposure of the country to frequent terrorist incidents. The impulse response functions reveal that tourism development (economic growth) responds positively to a positive shock to economic growth (tourism development).

The findings call for Lebanese policy makers aiming at promoting growth to design policies that encourage tourism, such as implementing tourism marketing policies and building the needed tourism infrastructure. Such policies will have positive but transitory effects on economic growth. The findings may also be useful for regional representatives of intergovernmental organizations and the offices of statistics of United Nations World Tourism Organization and the World Bank to better understand the tourism industry in Lebanon and similar countries suffering from instabilities.

This paper contributes to the existing literature in three points: despite the importance of the tourism industry to the Lebanese economy, this topic did not receive careful attention in the literature; it takes into consideration the presence of structural breaks and possible nonlinearities in the number of tourist arrivals; and it investigates the TLGH after accounting for instability in the country.

The purpose of this paper is to examine the linear and nonlinear relations between returns volatility and trading volume for the Indian currency futures market.

To examine the contemporaneous relation between returns volatility and volume, the author uses the generalized method of moment estimator. For the linear causal relation, the author makes use of Granger (1969) bivariate vector autoregression model. The author tests for nonlinear Granger causality between returns volatility and trading volume based on a modified version of the Baek and Brock (1992) nonparametric technique developed by Hiemstra and Jones (1994).

The results indicate a negative contemporaneous relation between returns volatility and trading volume; therefore, the mixture of distribution hypothesis is not supported. The results of both linear and nonlinear Granger causality between futures returns volatility and trading volume indicate a significant bidirectional relation between the two variables lending support to the sequential arrival of information hypothesis. The results are robust to divergence of opinions as proxied by open interest.

The findings of this paper are important for the participants in the market and regulators. The participants in the market require alternatives to diversify their risk. The significant causal relation between returns volatility and trading volume implies that trading volume helps predict the futures prices and should lead to creation of more reliable hedging strategies for investment purposes. Furthermore, it may interest the regulators who need to decide upon the appropriateness of their policies in the currency futures market.

To the best of the author’s knowledge, there is no study that investigates the forecast ability of trading volume to futures returns volatility in an emerging currency futures market. Given that currency futures market is one of the largest markets in the world, and Indian rupee has seen wide fluctuations in the recent years, it seems exciting to explore the price–volume relation in the Indian currency futures market.