Measurement of Collusion in Open Ascending Price Auctions in Agricultural Commodity Markets

2021 ◽  
pp. 232102222110514
Author(s):  
Dipankar Das ◽  
Sanjeev Kapoor
Keyword(s):  
Time Series ◽  
Wholesale Price ◽  
Jel Classification ◽  
Commodity Markets ◽  
Agricultural Commodity ◽  
Farming Community ◽  
Theoretical Structure ◽  
Agricultural Produce ◽  
Price Auction ◽  
The Right

This paper derives a method of measuring the degree of collusion among the bidders in an open ascending repetitive price auction in agricultural commodity markets in India. This paper first derives the bidders’ behaviour’s theoretical structure and then a measure of collusion formation. Finally, the degree of the cartel has been computed using time series wholesale price data of potato and onion crops. This research’s findings are helpful for the study of the link between the supply of the agriculture commodity and the degree of collusion. Using the proposed method in this research, if the Agricultural Produce Market Committee (APMC) measures cartel for each market and publish periodically, it will help farmers choose the right market to sell the produce. The farmers would select the market where the degree of collusion is relatively lower. Identifying different small cartel groups at different times with respective to the supply of the agriculture commodity would help avoid the incidence of distress selling by farmers, which is the main hindrance in developing the farming community in India. JEL Classification: C7,D44,L1,L4,Q1

Construct Validity

2017 ◽  
Author(s):  
Richard McCleary ◽  
David McDowall ◽  
Bradley J. Bartos
Keyword(s):  
Time Series ◽  
Construct Validity ◽  
Hypothesis Test ◽  
Secondary Data ◽  
Time Frame ◽  
Primary Data ◽  
Optimal Time ◽  
Intervention Model ◽  
Right Hand ◽  
The Right

Chapter 8 focuses on threats to construct validity arising from the left-hand side time series and the right-hand side intervention model. Construct validity is limited to questions of whether an observed effect can be generalized to alternative cause and effect measures. The “talking out” self-injurious behavior time series, shown in Chapter 5, are examples of primary data. Researchers often have no choice but to use secondary data that were collected by third parties for purposes unrelated to any hypothesis test. Even in those less-than-ideal instances, however, an optimal time series can be constructed by limiting the time frame and otherwise paying attention to regime changes. Threats to construct validity that arise from the right-hand side intervention model, such as fuzzy or unclear onset and responses, are controlled by paying close attention to the underlying theory. Even a minimal theory should specify the onset and duration of an impact.

Inter- and intra-hemispheric spatiotemporal organization of spontaneous electrocortical oscillations

1996 ◽  
Vol 76 (1) ◽  
pp. 423-437 ◽  
Author(s):  
K. D. MacDonald ◽  
B. Brett ◽  
D. S. Barth
Keyword(s):  
Time Series ◽  
Somatosensory Cortex ◽  
Phase Locking ◽  
Sensory Information ◽  
Gamma Oscillations ◽  
Sensory Cortex ◽  
Electrode Arrays ◽  
Sharp Wave ◽  
Lower Amplitude ◽  
The Right

1. Two 64-channel epipial electrode arrays were positioned on homologous locations of the right and left hemisphere, covering most of primary and secondary auditory and somatosensory cortex in eight lightly anesthetized rats. Array placement was verified with the use of cytochrome oxidase histochemistry. 2. Middle-latency auditory and somatosensory evoked potentials (MAEPs and MSEPs, respectively) and spontaneous oscillations in the frequency range of 20-40 Hz (gamma oscillations) were recorded and found to be spatially constrained to regions of granular cortex, suggesting that both phenomena are closely associated with sensory information processing. 3. The MAEP and MSEP consisted of an initial biphasic sharp wave in primary auditory and somatosensory cortex, respectively, and a similar biphasic sharp wave occurred approximately 4-8 ms later in secondary sensory cortex of the given modality. Averaged gamma oscillations also revealed asynchronous activation of sensory cortex, but with a shorter 2-ms delay between oscillations in primary and secondary regions. Although the long latency shift of the MAEP and MSEP may be due in part to asynchronous activation of parallel thalamocortical projections to primary and secondary sensory cortex, the much shorter shift of gamma oscillations in a given modality is consistent with intracortical coupling of these regions. 4. Gamma oscillations occurred independently in auditory and somatosensory cortex within a given hemisphere. Furthermore, time series averaging revealed that there was no phase-locking of oscillations between the sensory modalities. 5. Gamma oscillations were loosely coupled between hemispheres; oscillations occurring in auditory or somatosensory cortex of one hemisphere were often associated with lower-amplitude oscillations in homologous contralateral sensory cortex. Yet, the fact that time series averaging revealed no interhemispheric phase-locking suggests that the corpus callosum may not coordinate the bilateral gamma oscillations, and that a thalamic modulatory influence may be involved.

scholarly journals Multidimensional Poverty Measurement in Pakistan :Time Series Trends and Breakdown

2012 ◽  
Vol 51 (4II) ◽  
pp. 493-504 ◽  
Author(s):  
Taseer Salahuddin ◽  
Asad Zaman
Keyword(s):  
Time Series ◽  
Recent Literature ◽  
Caloric Intake ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
New Approach ◽  
Rational Agents ◽  
Multidimensional Poverty Measurement ◽  
The Poor ◽  
The Right

In the recent literature, consensus has emerged that poverty is a multidimensional phenomenon; see Alkire and Santos (2010) for a review of the major arguments. Nonetheless, the most widely used measures of poverty remain unidimensional, being based on income or caloric intake cutoffs. The logic for the use of income based measures was that it was only lack of income which led to deprivation—with sufficient income; rational agents would automatically eliminate deprivations in all dimensions in the right sequence of priorities. However, careful studies like Thorbecke (2005) and Banerjee and Duflo (2006) show that this does not happen. Even while malnourished and underfed, the poor spend significant portions of their budgets on festivals, weddings, alcohol, tobacco and other non-essential items. The move from abstract theoretical speculation based on mathematical models of human behaviour to experiments and observations of actual behaviour has led to dramatic changes in the understanding of poverty and how to alleviate it. Some of these insights are encapsulated in a new approach to poverty advocated by Banerjee and Duflo (2011).

scholarly journals The Impact of Socioeconomic Factors on State Suicide Rates: Revisited

2021 ◽  
pp. 1-14
Author(s):  
Mitch Kunce
Keyword(s):  
Socioeconomic Factors ◽  
State Level ◽  
Empirical Method ◽  
Jel Classification ◽  
Ecological Fallacy ◽  
Social Forces ◽  
Suicide Rates ◽  
The Right ◽  
The Impact ◽  
Varia Tions

Abstract This paper revisits the purported impact of socioeconomic and social environment factors on annual, U.S. state-level suicide rates. Special attention is paid to the right-hand-side linking covariates directly to Durkheim's (1897/1951) significant contributions to established ecological suicide research. Results from a Haus-man-Taylor panel specification lend little support to Durkheim's social integra-tion/regulation hypothesis that aggregate social forces matter in explaining varia-tions in regional suicide rates. Data from 1990-2019 and the advanced empirical method support the mounting sentiment of an abiding ecological fallacy plaguing suicidology. JEL classification numbers: C51, R11, I31. Keywords: Hausman-Taylor, Suicide rates, Socioeconomic factors.

scholarly journals Pembuatan Bokasi Berbahan Dasar Jerami Bagi Masyarakat Kelompok Tani Di Desa Borikamase Kabupaten Maros

2021 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Dian Safitri ◽  
Nurul Magfirah ◽  
Irmawanty Irmawaty ◽  
Haerul Syam
Keyword(s):  
Organic Fertilizer ◽  
Nutrient Content ◽  
Rice Fields ◽  
Raw Material ◽  
Organic Fertilizers ◽  
High Price ◽  
Farming Communities ◽  
Farming Community ◽  
Synthetic Fertilizers ◽  
The Right

The large number of rice fields in Borikamase Village, resulting in high production of hay, requires an appropriate effort to use straw into organic fertilizer or bokashi which is environmentally friendly as well as safe for plants. The use of straw into bokashi or organic fertilizer needs to be taught to the farming community, so the community service team focuses on providing assistance and training to the community in utilizing straw as a raw material in making bokashi by using microorganisms as the source of fermentation. In addition, the high price of synthetic fertilizers on the market makes farmers in Borikamase Village feel heavy in providing nutritional supplies to their agricultural areas, so that this training is expected to help farmers by obtaining fertilizers that are cheap, safe, and of good quality to fertilize. The existence of biotechnology applications, provides the right solution in overcoming the damage to bald mountains and the scarcity and high price of synthetic fertilizers, namely by processing straw into bokashi or organic fertilizers with high nutrient content and are safe for the environment. In addition, providing knowledge and skills for farming communities as agents of reform in restoring ecosystem balance through the application of bokashi made of straw on rice fields. Keywords: Training, Mentoring, Boricamase, Straw

scholarly journals A Predictive Meta Model for Forecasting Stock Price using Time Series Data

2021 ◽  
Vol 10 (1) ◽  
pp. 345-356
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Stock Price ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Meta Model ◽  
Price Range ◽  
Stock Traders ◽  
The Right

Stock market prediction through time series is a challenging as well as an interesting research areafor the finance domain, through which stock traders and investors can find the right time to buy/sell stocks. However, various algorithms have been developed based on the statistical approach to forecast the time series for stock data, but due to the volatile nature and different price ranges of the stock price one particular algorithm is not enough to visualize the prediction. This study aims to propose a model that will choose the preeminent algorithm for that particular company’s stock that can forecastthe time series with minimal error. This model can assist a trader/investor with or without expertise in the stock market to achieve profitable investments. We have used the Stock data from Stock Exchange Bangladesh, which covers 300+ companies to train and test our system. We have classified those companies based on the stock price range and then applied our model to identify which algorithm suites most for a particular range of stock price. Comparative forecasting results of all algorithms in diverse price ranges have been presented to show the usefulness of this Predictive Meta Model

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