Disaggregate Economic Base Multipliers in Small Communities

1997 ◽  
Vol 29 (6) ◽  
pp. 955-974 ◽  
Author(s):  
A C Vias ◽  
G F Mulligan
Keyword(s):  
Economic Base ◽  
Input Output ◽  
Data Set ◽  
Small Communities ◽  
Considerable Evidence ◽  
Transfer Payments ◽  
New Models ◽  
Base Analysis ◽  
Different Types ◽  
Community Data

Economic base analysis is frequently used to describe employment profiles and to predict project-related impacts in small communities. Considerable evidence suggests, however, that economic base multipliers should be estimated from survey data and not from shortcut methods. In this paper two competing versions of the economic base model are developed and then these two models are estimated by use of the Arizona community data set. In both cases, marginal multiplier estimates, controlled for transfer payments, are generated for ten individual sectors in five different types of communities. Results from these two disaggregate economic base models are assessed and then compared with results provided earlier by more aggregate models. The better of these two new models closely resembles the popular input—output model.

scholarly journals Multivariate INAR(1) Regression Models Based on the Sarmanov Distribution

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 505
Author(s):  
Lluís Bermúdez ◽  
Dimitris Karlis
Keyword(s):  
Regression Model ◽  
Regression Models ◽  
Serial Correlation ◽  
Goodness Of Fit ◽  
Dependence Structure ◽  
Automobile Insurance ◽  
Data Set ◽  
New Models ◽  
Different Types ◽  
Over Time

A multivariate INAR(1) regression model based on the Sarmanov distribution is proposed for modelling claim counts from an automobile insurance contract with different types of coverage. The correlation between claims from different coverage types is considered jointly with the serial correlation between the observations of the same policyholder observed over time. Several models based on the multivariate Sarmanov distribution are analyzed. The new models offer some advantages since they have all the advantages of the MINAR(1) regression model but allow for a more flexible dependence structure by using the Sarmanov distribution. Driven by a real panel data set, these models are considered and fitted to the data to discuss their goodness of fit and computational efficiency.

Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

2020 ◽  
Vol 13 ◽  
Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Data Science ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Future Trends ◽  
Data Set ◽  
Learning Stage ◽  
Learning Techniques ◽  
Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

Differential Multipliers for Tourism in Victoria

1997 ◽  
Vol 3 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Guy R. West ◽  
Ari Gamage
Keyword(s):  
Economic Impacts ◽  
Value Added ◽  
The State ◽  
Input Output ◽  
Relative Contribution ◽  
State Economy ◽  
Different Types

This study assesses the significance of different types of tourists to Victoria, Australia, by their relative contribution to the economy. Differential impacts are calculated using an input–output model incorporating marginal household coefficients. The analysis demonstrates that the conventional input–output model can overestimate the flow-on effects to value added, income and employment by a significant amount. It finds that domestic tourists are the largest contributor to the State economy, with day-trippers spending the greatest amount. International tourists rank last in terms of economic impacts on the state.

scholarly journals Field-based investigation of aged biochar coupled with summer legumes effect on wheat yield in Pakistan

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Hafeez Ur Rahim ◽  
Sajjad Ahmad ◽  
Zaid Khan ◽  
Muhammad Ayoub Khan
Keyword(s):  
Maximum Yield ◽  
Wheat Yield ◽  
Wheat Crop ◽  
Human Consumption ◽  
Thousand Grain Weight ◽  
Data Set ◽  
Different Types ◽  
Biological Yield ◽  
Soil Fertility Improvement

There is a debate about whether the aged biochar effect can increase the crop yield or not. Herein, a field-based experimental data set and analysis provide the information on the aged biochar effect coupled with summer legumes on the yield of subsequent wheat. Briefly, in summer 2016, three different types of legumes i.e. mungbean, sesbania, and cowpea were grown with the intention of grain for human consumption, green manuring for soil fertility improvement, and fodder for livestock consumption. A fallow was also adjusted in the experiment with the purpose of comparison. Biochar was added to each experimental plot in triplicates at the rate of 0, 5, and 10 tons ha-1. After the harvesting of legumes, the biomass of each sesbania treatment plot was mixed in the field while the biomass of mungbean and cowpea were removed from each respective plot. To investigate the aged biochar effect, the wheat crop was grown on the same field layout and design (randomized complete block) of legumes. The data analysis highlighted that significantly maximum grain yield (kg ha-1), biological yield (kg ha-1); thousand-grain weight (g), and straw yield (kg ha-1) were obtained in the plots mixed with sesbania. Regarding the aged biochar effect, maximum yield was obtained in the plots with 10 tons ha-1treatment dose. Additionally, the interaction of aged biochar coupled with legumes was non-significant. In conclusion, this work could prove that aged biochar coupled with summer legumes enhanced the yield of subsequent wheat on a sustainable basis due to its long-term numerous benefits to the soil-plant system.

Modeling Urban Systems

2012 ◽  
pp. 322-351 ◽  
Author(s):  
John D. Landis
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Travel Behavior ◽  
Growth Models ◽  
Urban Systems ◽  
Economic Base ◽  
Hedonic Price ◽  
Hedonic Price Models ◽  
Different Types ◽  
Behavior Models

This article examines the different types of urban model used in urban planning in North America, and to a lesser extent, in Europe, Asia, and South Americam, which include the population-projection models, economic base models, hedonic price models, and travel-behavior models. It describes emerging procedures such as land-use change and urban-growth models, and looks at Charles Tiebout's model of efficient public choice and Thomas Schelling's model of spatial segregation.

Too tied to fail: a multidimensional approach to social capital in crowdfunding campaigns. Evidences from Italian agri-food businesses

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ulpiana Kocollari ◽  
Alessia Pedrazzoli ◽  
Maddalena Cavicchioli ◽  
Andrea Girardi
Keyword(s):  
Social Capital ◽  
Design Methodology ◽  
Multidimensional Approach ◽  
Data Set ◽  
Content Type ◽  
Different Types ◽  
Linear Regressions ◽  
Practical Implications

PurposeThe authors investigate the contributions of social capital (SC) dimensions (bridging, bonding and linking) in crowdfunding campaigns by comparing the dynamics of agri-food businesses with those of two other sectors – cultural and technological.Design/methodology/approachThe authors develop linear regressions on a proprietary data set of 5,290 projects launched on the Italian platform “Produzionidalbasso.com”, from 2014 to 2020.FindingsThe authors’ findings suggest that combining the three social capital dimensions (bridging, bonding and linking) has a more substantial overall effect on the number of backers involved in agri-food projects than in cultural and technological projects. Agri-food entrepreneurs effectively mobilize all resources embedded in the SC dimensions and therefore create the conditions to develop new ties that financially support the project.Practical implicationsAgri-food entrepreneurs may benefit from those results improving their funding strategies. Therefore, agri-food entrepreneurs can explore and exploit the instruments available on the CFD platform – video and rewards associated with the campaign – gaining more benefit from the backers involved compared with other project categories.Originality/valueThe study proposes a broader perspective regarding SC that encompasses the proponent, the company and the campaign with three different types of ties: bonding, bridging and linking. These SC dimensions can differently shape diverse sectors and this eclectic configuration can differentiate the effects of SC in crowdfunding campaigns. This study pinpoints how crowdfunding determinants change, based on project categories.

Correlation guided Network Integration (CoNI) reveals novel genetic regulators of hepatic metabolism

2020 ◽  
Author(s):  
Valentina S. Klaus ◽  
Sonja C. Schriever ◽  
Andreas Peter ◽  
José Manuel Monroy Kuhn ◽  
Martin Irmler ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Hepatic Metabolism ◽  
Omics Data ◽  
Network Integration ◽  
Data Set ◽  
Metabolomics Data ◽  
Different Types ◽  
Hepatic Fat ◽  
Liver Biopsies

ABSTRACTThe steadily increasing amount of newly generated omics data of various types from genomics to metabolomics is a chance and a challenge to systems biology. To fully use its potential, one key is the meaningful integration of different types of omics. We here present a fully unsupervised and versatile correlation-based method, termed Correlation guided Network Integration (CoNI), to integrate multi-omics data into a hypergraph structure that allows for identification of effective regulators. Our approach further unravels single transcripts mapped to specific densely connected metabolic sub-graphs or pathways. By applying our method on transcriptomics and metabolomics data from murine livers under standard chow or high-fat-diet, we isolated eleven genes with a regulatory effect on hepatic metabolism. Subsequent in vitro and ex vivo experiments in human liver cells and human obtained liver biopsies validated seven candidates including INHBE and COBLL1, to alter lipid metabolism and to correlate with diabetes related traits such as overweight, hepatic fat content and insulin resistance (HOMA-IR). Last, we successfully applied our methods to an independent data-set to confirm its versatile and transferable character.

scholarly journals Harmonic Analysis via an Integral Equation: An Application to Dengue Transmission

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
R. G. U. I. Meththananda ◽  
N. C. Ganegoda ◽  
S. S. N. Perera
Keyword(s):  
Integral Equation ◽  
Parameter Estimation ◽  
Harmonic Analysis ◽  
Basis Functions ◽  
Periodic Waves ◽  
Data Set ◽  
New Approach ◽  
Dengue Transmission ◽  
Different Types ◽  
The Laplace Transform

A collection of oscillatory basis functions generated via an integral equation is investigated here. This is a new approach in the harmonic analysis as we are able to interpret phenomena with damping and amplifying oscillations other than classical Fourier-like periodic waves. The proposed technique is tested with a data set of dengue incidence, where different types of influences prevail. An intermediate transform supported by the Laplace transform is available. It facilitates parameter estimation and strengthens the extraction of hidden influencing accumulations. This mechanistic work can be extended as a tool in signal processing that encounters oscillatory and accumulated effects.

Sign in / Sign up

Export Citation Format

Share Document