scholarly journals Fiscal Deficit and Inflation: New Evidences from Turkey Using a Bounds Testing Approach

2014 ◽  
Author(s):  
Serap Bedir ◽  
Arzu Tural Dikmen
Keyword(s):  
Interest Rates ◽  
Empirical Relationship ◽  
Fiscal Deficit ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
External Borrowing

A well-established theory in macroeconomics is that governments running persistent deficits have sooner or later to finance those deficits with money creation, thus producing inflation. The fiscal view of inflation has been especially prominent in the developing country literature, which has long recognized that less efficient tax collection, political instability, and more limited access to external borrowing tend to lower the relative cost of seigniorage and increase dependence on the inflation tax. For this reason, the main factors which affecting inflation rate in developing countries are extremely important for policy makers as when the causes of inflation are correctly specified the appropriate policy change can be easily diagnosed and effectively implemented. The purpose of this study is to test the empirical relationship between inflation and the budget deficit for the Turkish economy by an autoregressive distributed lag model (ARDL) analysis for the period 1970–2010. The data is taken from Republic of Turkey Ministry of Development and World Bank’s Database. The empirical findings indicates that fiscal deficit is one of the important variables of the price level along with other variables like interest rates, exchange rate, per capita income, trade of GDP. The short-run analysis captured from error correction model (ECM). The results of the bounds test suggest that there is a long run relationship between fiscal deficit and inflation. These findings drive important inferences for implications of monetary and fiscal policies.

scholarly journals Bounds Testing Approach to Cointegration: A Re-examination of FDI and Growth in Vietnam

2013 ◽  
Vol 218 ◽  
pp. 94-113
Author(s):  
ANH PHẠM THẾ ◽  
ĐÀO NGUYỄN THỊ HỒNG
Keyword(s):  
Economic Growth ◽  
Small Sample Size ◽  
Small Sample ◽  
Adjustment Process ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This study examines the econometric and empirical evidence of both causal and long-run relationship between foreign direct investment (FDI) and economic growth in Vietnam, covering a time span of 21 years from 1991 to 2012. The recent and robust methodology of bounds testing or autoregressive distributed lag model (ARDL) approach to Cointegration is employed for the empirical analysis. This technique can capture both short-run and long-run dynamics of variables, particularly in small sample size cases. The findings indicate the existence of a Cointegration relationship between the two time series and a modest adjustment process from short-run to long-run equilibrium. Further results from Granger causality tests conducted within the error correction model confirm a bi-directional causality between economic growth and FDI over the study period.

scholarly journals The Relationship between Economic Development and Fatal Occupational Accidents: Evidence from Turkey

2017 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Olcay Çolak ◽  
Serap Palaz
Keyword(s):  
Economic Development ◽  
Occupational Accidents ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.

scholarly journals The Relationship between Economic Development and Fatal Occupational Accidents: Evidence from Turkey

2017 ◽  
Vol 64 (1) ◽  
pp. 19-31
Author(s):  
Olcay Çolak ◽  
Serap Palaz
Keyword(s):  
Economic Development ◽  
Occupational Accidents ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.

scholarly journals Sources to Finance Fiscal Deficit and Their Impact on Inflation: A Case Study of Pakistan

2019 ◽  
Vol 58 (1) ◽  
pp. 27-43 ◽  
Author(s):  
Kashif Ali ◽  
Mahmood Khalid
Keyword(s):  
Central Bank ◽  
Jel Classification ◽  
Fiscal Deficit ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Deficit Financing ◽  
Lag Model ◽  
State And Local ◽  
External Borrowing

Theoretically, fiscal deficit is inflationary but the sources of financing fiscal deficit may differ in terms of their impact on inflation. Question arises that what should be the least inflation cost source of financing? This study attempts to answer this question and explore the long run relationship among the sources to finance fiscal deficit and inflation. In so doing, the estimations have been done in four stages on the basis of categorisation of the deficit financing heads. In the first stage it has been tested that fiscal deficit along with money supply are inflationary. In the second stage fiscal deficit is bifurcated into two components, domestic borrowing and external borrowing for fiscal deficit. In the third stage, domestic borrowing is further divided into two heads, bank and non-bank borrowing. While in the fourth and last stage, bank borrowing is further categorised into two parts, borrowing from scheduled banks and central bank, and non-bank borrowing which comprises borrowing from National Saving Scheme for budgetary support. The Johansen Cointegration Technique is used for the first stage of estimation, while Auto Regressive Distributed Lag Model is employed for the rest of the three stages. The study finds that there is a long run relationship among sources of financing fiscal deficit and inflation. Inflation is positively affected by domestic borrowing, bank borrowing and borrowing from central bank, while central bank borrowing is more inflationary in nature. Consequently, fiscal deficit should be financed through external sources, non-bank and scheduled bank borrowings. JEL Classification: H62, H74, E31 Keywords: Deficit, State and Local Borrowing, Inflation

scholarly journals Mobile Money Use: The Impact of Macroeconomic Policy and Regulation

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Financial Innovation ◽  
Macroeconomic Policy ◽  
Mobile Money ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examines the effects of macroeconomic policy and regulatory environment on mobile money usage. Specifically, we develop an autoregressive distributed lag model to investigate the effect of key macroeconomic variables and mobile money tax on mobile money usage in Uganda. Using monthly data spanning the period March 2009 to September 2020, we find that in the short run, mobile money usage is positively affected by inflation while financial innovation, exchange rate, interest rates and mobile money tax negatively affect mobile money usage in Uganda. In the long run, mobile money usage is positively affected by economic activity, inflation and the COVID-19 pandemic crisis while mobile money customer balances, interest rate, exchange rate, financial innovation and mobile money tax negatively affect mobile money usage.

scholarly journals The Determinants of Food Prices in Pakistan

2012 ◽  
Vol 17 (1) ◽  
pp. 101-128 ◽  
Author(s):  
Henna Ahsan ◽  
Zainab Iftikhar ◽  
M. Ali Kemal
Keyword(s):  
Active Role ◽  
Food Prices ◽  
Significant Variable ◽  
Demand And Supply ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

Controlling prices is one of the biggest tasks that macroeconomic policymakers face. The objective of this study is to analyze the demand- and supply-side factors that affect food prices in Pakistan. We analyze their long-run relationship using an autoregressive distributed lag model for the period 1970–2010. Our results indicate that that the most significant variable affecting food prices in both the long and short run is money supply. We also find that subsidies can help reduce food prices in the long run but that their impact is very small. Increases in world food prices pressurize the domestic market in the absence of imports, which cause domestic food prices to rise. If, however, we import food crops at higher international prices, this can generate imported inflation. The error correction is statistically significant and shows that market forces play an active role in restoring the long-run equilibrium.

scholarly journals Milk Supply Response in Delaware

1980 ◽  
Vol 9 (1) ◽  
pp. 41-45 ◽  
Author(s):  
G. Joachim Elterich ◽  
Sharif Masud
Keyword(s):  
Milk Production ◽  
Negative Impact ◽  
Milk Supply ◽  
Supply Response ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Milk Cows ◽  
Short Run ◽  
Lag Model

Milk supply response by dairy farmers in Delaware was analyzed employing distributed lag price structures for number of milk cows and milk production per cow. A polynominal distributed lag model is fitted to quarterly data with deflated prices for the period 1966 to 1978. The variations in the number of milk cows is explained by about 98 percent. Farmers react positively to milk prices after 1–2 years, while wages and feed prices have a negative impact on cow numbers. Milk production per cow shows positive adjustments to milk prices after 6 to 15 months. Technology and feed prices influence also milk production While the short-run price elasticity of milk production is only .2, the long-run aggregate elasticity grows to 2.8 percent. Intermediate-run projections of milk supply were also performed with the model.

scholarly journals The relationship between foreign direct investment, financial development and growth economic in Next-11 Countries: a PMG/ARDL estimation

Management ◽  
2021 ◽  
Vol 25 (1) ◽  
pp. 28-50
Author(s):  
Bilal Louail ◽  
Mohamed Salah Zouita
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Estimation Method ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
The Relationship

Summary This study investigates the relationship between FDI, economic growth and financial development in the Next 11 countries. An analysis of the results was performed accordingly on the panel data gathered from the Next 11 countries from 1985 to 2019— using the Pooled Mean Group (PMG) estimation method and the Autoregressive Distributed Lag model approach (ARDL). The results indicate an impact of both economic growth and financial development on the FDI flows to the study of countries during the period between 1985 and 2019 in the long run, while no such proof is affirmed in the short run. This study’s contribution provides a better understanding of the dynamic relationship between FDI, economic growth, and financial development by providing decision-makers to understand the nature of the dynamic association between the study variables. This study provides empirical evidence about the association between inflows of FDI, economic growth and financial development within the context of the Next-11 countries. The previous literature lacks empirical study on the relationship between variables of study for the Next-11 countries.

Exchange Rate Volatility and Tourism Demand in India: Unraveling the Asymmetric Relationship

2019 ◽  
Vol 59 (7) ◽  
pp. 1282-1297 ◽  
Author(s):  
Chandan Sharma ◽  
Debdatta Pal
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Point Of View ◽  
Tourism Demand ◽  
Asymmetric Effect ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This study explores the asymmetric effect of exchange rate volatility on tourism demand in India from January 2006 to April 2018. Tourism demand is captured from a twin perspective—quantity and value. While quantity is represented by foreign tourist arrival in India, earnings from foreign tourists are used to represent value. The study is unique from a methodological point of view as it makes the first ever application of the nonlinear autoregressive distributed lag model of Shin, Yu, and Greenwood-Nimmo (2014), in the tourism demand literature to capture nonlinearity simultaneously in the short- as well as long-run. Results of our analysis show that tourism demand in India responds asymmetrically to both nominal and real exchange rate volatility. Also, the long-run effects of exchange rate uncertainty are shown to be more damaging than the short-run effects. Our findings are fairly robust to alternative specifications.

Effects of Terms of Trade on Economic Growth of Pakistan

2017 ◽  
Vol 53 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Khalil Jebran ◽  
Amjad Iqbal ◽  
Zia Ur Rehman Rao ◽  
Arshad Ali
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Terms Of Trade ◽  
Series Data ◽  
Economic Policies ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This paper analyzes the effect of terms of trade on economic growth of Pakistan considering annual time series data from 1980 to 2013. This study opted autoregressive distributed lag model for purpose of analyzing short- and long-run relationship. The results reveal significant negative long-run and short-run effects of terms of trade on economic growth. The analyses also indicate significant positive long-run and short-run effects of labour on economic growth. Further, capital stock is influencing positively the economic growth in long run only. We suggest that economic policies may be implemented to deteriorate terms of trade which will further enhance the economic growth of Pakistan. JEL: F13, F43

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