scholarly journals ​Changes in Prices and Arrivals of Major Oilseed Crops in APMC Amreli (Gujarat): An Empirical Analysis

2021 ◽  
Author(s):  
A.S. Dudhat ◽  
Pushpa Yadav ◽  
A.P. Prajapati
Keyword(s):  
Time Series ◽  
Empirical Analysis ◽  
Time Series Data ◽  
Price Volatility ◽  
Series Data ◽  
Price Model ◽  
Oilseed Crops ◽  
Monthly Time Series ◽  
Best Fit

The price volatility has been the main centre of attention for policy planners. This study therefore, aims to examine the changes in price and arrivals of major oilseeds of APMC, Amreli (Gujarat) analyzing monthly time series data of last twenty years. The findings emerged from the study revealed that the month wise and year wise highest changes were observed for the groundnut (semi spreading), followed by sesamum (white). Month wise severe changes were observed in the price of sesamum (white), while year wise severe changes were observed for the sesamum (black). On the basis of adjusted R2, price model of semi-spreading groundnut was found to be the best fit among all the models.

An Empirical Analysis on the Relationship between Transport Infrastructure and Economic Growth in Tianjin

2012 ◽  
Vol 253-255 ◽  
pp. 278-281
Author(s):  
Xiao Zhe Meng
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Granger Causality ◽  
Empirical Analysis ◽  
Time Series Data ◽  
Transport Infrastructure ◽  
Integration Theory ◽  
Series Data ◽  
Positive Correlations ◽  
The Relationship

Transport infrastructure makes important contribution to economic growth. At the same time, the economic growth provides support to the transport infrastructure. Based on the co-integration theory and Granger casualty analysis, using time series data in Tianjin from 1978 to 2010, empirically analyze the co-integration relationship and Granger causality between the index of all kinds of transport infrastructure and the GDP in Tianjin. Research shows that there are positive correlations between the length of road, railway, quay line and GDP. The length of road, railway and quay line is the Granger cause of GDP. However, GDP is not the Granger cause of transport infrastructure.

scholarly journals WHICH VARIABLES PREDICT INDONESIA'S INFLATION?

2019 ◽  
Vol 22 (1) ◽  
pp. 87-102 ◽  
Author(s):  
Susan Sunila Sharma
Keyword(s):  
Time Series ◽  
Comparative Analysis ◽  
Inflation Rate ◽  
Time Series Data ◽  
Predictor Variables ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Monthly Time Series ◽  
Out Of Sample ◽  
Exhaustive List

We use an exhaustive list of Indonesia’s macroeconomic variables in a comparative analysis to determine which predictor variables are most important in forecasting Indonesia’s inflation rate. We use monthly time-series data for 30 macroeconomic variables. Using both in-sample and out-of-sample predictability evaluations, we report consistent evidence of inflation rate predictability using 11 out of 30 macroeconomic variables.

Popularity Function Forecasts for the 2005 UK General Election

2005 ◽  
Vol 7 (2) ◽  
pp. 174-190 ◽  
Author(s):  
David Sanders
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Early Summer ◽  
Vote Share ◽  
General Election ◽  
Series Data ◽  
Liberal Democrats ◽  
Percentage Points ◽  
Monthly Time Series ◽  
Popularity Function

The article provides a set of contingent forecasts for the forthcoming UK general election. The forecasts are based on popularity function derived from monthly time series data covering the period 1997–2004. On most likely assumptions, the forecasts produce a clear Labour victory in the early summer of 2005, with the Liberal Democrats increasing their vote share by roughly four percentage points.

Impact of Globalization on Economic Growth in Vietnam: An Empirical Analysis

2018 ◽  
pp. 32-47 ◽  
Author(s):  
Dat Tho Tran ◽  
Van Thi Cam Nguyen
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Empirical Analysis ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Balance Of Trade ◽  
The Impact

This study aims at investigating the impact of globalization on economic growth in the case of Vietnam. Empirical analysis is done by using time series data for the period from 1995 to 2014. The paper tested the stationary cointegration of time series data and utilized the error correction modeling technique to determine the short run relationships among economic growth, globalization, foreign direct investment, balance of trade and exchange rate variables. Then, the long run relationship between economic growth and the variables representing economic integration were estimated by ordinary least square. The results show that globalization, measured by the KOF index, promotes economic growth and Vietnam has gained from integrating into the global economy. The overall index of globalization had positively and significantly impacted the economic growth in Vietnam. The results also indicated that economic globalization had a significantly positive effect on economic growth in the period examined. The study further revealed that foreign direct investment and the exchange rate affect economic growth positively whereas balance of trade affects economic growth negatively.

scholarly journals Variability and Sources of Output Growth in Major Oilseeds of Rajasthan

2021 ◽  
Vol 66 (1) ◽  
Author(s):  
Kailash Chand Bairwa
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Time Series Data ◽  
Output Growth ◽  
The State ◽  
Series Data ◽  
Oilseed Crops ◽  
Significant Growth ◽  
Area Effect ◽  
Relative Contribution

Rajasthan state is the second largest oilseeds producer and land coverage in the country. The share of oilseed crops is scheduled the significant growth in area and output in latest 20 years. Nevertheless, compare to wheat and gram, the growth rate of area and production of several oilseeds is less significant and there exist wide instability in their productivity in scattered part of the state. This study investigates to growth, its contributors and variability in area, production and productivity of major oilseed crops. The study period from 1990-91 to 2019-20 was divided into three sub-periods viz., period-I (1990-91 to 2004-05); period-II (2005-06 to 2019-20) and Overall study Period (1990-91 to 2018-19). Time series data were collected from various public E-sources to compute the growth, instability and decomposition in oilseeds production. It was revealed from the analysis that growth of kharif oilseeds was higher than rabi oilseeds. The highest instability (31.78) in production and productivity was reported in period-I for kharif oilseeds. In case of relative contribution, the area effect (416.85) and yield effects (211.10) were more effective in production of taramira and sesame crops, respectively. This analysis suggested that during period –I and II area effect was dominant in changing output of taramira and rapeseed-mustard.

An Econometric Analysis of Markets for Pulses: A Case Study of Green Gram

2020 ◽  
pp. 559-564
Keyword(s):  
Time Series ◽  
Tamil Nadu ◽  
Time Series Data ◽  
Price Volatility ◽  
Green Gram ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Adf Test ◽  
Long Run Equilibrium

Due to reduced crop area under pulses and ever-increasing domestic demand, India imports every year large chunks of a variety of pulses. The time series econometric analyses was used to estimate market integration, price transmission, and price volatility happening in the major domestic markets for one of the imported pulses namely green gram. The time-series data pertained to prices of a green gram for the major markets are sourced from 2006 to 2018 on a monthly frequency. Further, the vertical integration among the production and consumption markets were also studied using these analyses. In order to remove the non-stationarity element in the price series, the ADF test was used, which were non-stationary at levels but became stationary at the first difference. The price volatility prevailing in the green gram markets of India was estimated by GARCH (1,1) model revealed that all the markets were exhibiting consistent variability in market prices. Among these markets, there existed bi-directional causation which was confirmed by the Granger Causality test. The presence of three co-integration vectors for these markets proved the existence of a long-run equilibrium for green gram prices. Tamil Nadu market came under short-run equilibrium whereas remaining markets had long-run equilibrium estimated by VECM. Retail prices of Madurai market had bi-directional price influence with Tamil Nadu market. Hence it is suggested that better price discovery and timely market intelligence would be necessary to manage the price shocks occurring in the green gram markets in India.

The declining influence of class and ideology in union membership: Consistent but divergent trends among Swedish employees

2017 ◽  
Vol 41 (2) ◽  
pp. 351-371 ◽  
Author(s):  
Johanna Palm
Keyword(s):  
Time Series ◽  
Empirical Analysis ◽  
Union Membership ◽  
Time Series Data ◽  
General Trend ◽  
Union Density ◽  
Series Data ◽  
Class Identity ◽  
Individual Level ◽  
Over Time

Using individual-level time-series data covering the period from 1990 to 2011, this article provides an empirical analysis of how the influence of various aspects of class and ideology on union organization have changed over time in the Swedish context. The primary results indicate that although union density and the influence of class-related aspects and ideology are decreasing, particularly among groups with traditionally high levels of organization, the general trend is not valid for all categories of employees. Rather, it appears that where the tradition of being organized is weaker, the influence of class and class identity is particularly strong. No evidence is identified that supports the thesis of class loyalty vanishing among the young.

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