Questions related to Market Analysis
A common threshold for standardized coefficients in structural equation models is 0.1. But is this also valid for first difference models?
I am currently researching on the topic of Cryptocurrency Price prediction. If some want to collaborate they are welcomed. If someone wants to give their precious suggestions they are welcomed as well.
Looking forward to connect with best researchers.
If not forecasting, would you replace the forecast with a foresight prediction method?
We are entering the new year 2022 and it is at the turn of the year that many macroeconomic and microeconomic forecasts for individual markets and industries appear. On the other hand, companies listed on the stock exchange are happy to boast of their potential to create value in the first quarter of the year, present attractive forecasts of increasing sales, acquiring new customers and profits in the markets ... to tempt new investors into shares. Is it not sometimes as Peter Drucker stated years ago?
„The best way to predict the future is to create it.”
“Time is the scarcest resource. Unless it is managed, nothing else can be managed.”
What do you think about forecasting and planning the future?
I've added some inspirational leads
There are many publications about the proliferation of private labels over the last years (for example, measured by market shares). But is this proliferation going on and on? Or has a new balance emerged? And if so, how can retailers and industry influence this competition? Or does the proliferation take place 'covertly'? For example, via high-quality or sustainable private labels.
Can you suggest papers (2018-2021) about "The Impact of Internet Advertising on consumers behavior"?
Should the Federal Reserve Bank in the US be the main institution shaping and leading pro-growth active state interventionism?
In principle, YES, but it should be specified precisely the framework for a possible anti-crisis launch and implementation of the policy of active state intervention. The Federal Reserve Bank should continue to fulfill its current functions. In this respect, it is the most important institution in the US in terms of maintaining financial stability in the banking system and indirectly in the entire financial system. In addition, indirectly supports inter-branch, transactional, market, business and cross-border trade and capital flows. As the Federal Reserve advises on the issue of maintaining financial stability, it also translates into the entire US economy and also to a large extent on the entire global economy while the economy The US is recognized as a key global player. On the other hand, the Federal Reserve Bank, using its monetary policy instruments and the possibility of buying back lost commercial loans and junk securities, should focus on stabilizing the situation on the financial markets rather than on actively stimulating demand for securities, which may generate another global one in the long run. financial crisis. I examined this problem and described it in my scientific publications.
In view of the above, the current question is: Should the Federal Reserve Bank in the US be the main institution shaping and leading pro-growth active state interventionism?
Please, answer, comments.
I invite you to the discussion.
Dear Friends and Colleagues of RG,
The issue of the impact of monetary policy on the stability of financial systems in the context of the global financial crisis is described in the publication:
I invite you to discussion and cooperation.
I'm working on the mobile game market. I want to calculate advertisement effect & word of mouth effect separately in my model.
My tools are System Dynamics & Vensim.
Could you please help me or advice me how to calculate these effects better?
Thanks a lot
The unpacked-food stores (Unverpackt-Läden) got attention in Germany since 2014. There are different studies related to unpacked-food stores in Germany ( Splendid, PWC, and many articles) but none of them could able to give a clear insight on Market Size of the unpacked-food stores in Germany. I am very interested to know how to calculate the market size for Unpacked-Food Store in Germany.
I'm conducting a market audit regarding ERP solutions. I'm looking for quality research work related to PESTEL analysis. I'm glad if you can recommend me some high-quality research work. Thank you in advance.
With Covid19, we have seen digital transformation happening so much faster: everyone able to do this was suddenly working from home, using the internet and the available digital access and platforms. Education was also put on hold unless it moved online: online-school, online-education got a tremendous stimulus.
Now, what is fueling the data economy, what is the "new green oil" of this digitally transformed world? It's DATA, and it's data fairly priced for the stakeholders, starting with identified data owners.
Please see here a link to some books on the subject, reviewing the rational for data use in every aspect of life, business, markets, society, and looking at the creation of Data Market Places, as well as diving into the detailed equations of how to price and how to make it happen in economic terms, as Data Microeconomics:
Has the relocation of large factories from highly developed countries to countries with cheaper labor costs caused unfavorable situations of rising unemployment in some regions in your countries?
It turned out that from the global financial crisis of 2008, those countries in which the domestic industry was more developed faster.
Some industries, including large factories, have been expatriated to countries with cheaper labor costs.
For a corporation that decides to move such assembly plants, it is a business goal of saving labor costs.
However, in the city from which this factory emigrated, unemployment is rising. If it was a small town and the factory was the main employer, the problem of a significant increase in unemployment on the local market arose.
In some countries, restrictions have been introduced to limit the scale of this process of emigration of large production factories and sometimes entire branches of the economy to other countries.
How do you feel? Should the governments of individual countries regulate these issues, should liberalization be in this matter or should it be under the control of the state, i.e. the government of a given country?
Please, answer, comments. I invite you to the discussion.
World is facing an ordeal due to COVID-19 and it continues to spread rapidly around the world. Many countries had gone for nationwide lockdown and the country borders are closed. More than 3 billion people around the world is under lock down. Economies around the world slumped down. Just as no industry operates in isolation, no economy operates in isolation.
COVID-19 has adversely impacted economy globally. The post-corona economy will take time for its resurgence. What should we do globally or nationally for its fast resurgence ?
We are looking at a pandemic that will have consequences both in the short and medium and long term. In particular, we need to understand the reaction of financial markets to an event that affects the whole world and not individual countries, as has happened in past years.
COVID-19 has emerged globally at unprecedented speed and scale. Experts don’t know how long this virus will take to its end. Various Nations have lock down whole country to prevent spread COVID-19. As a result of the lockdown, the commercial and business activities have been seriously affected and the availability of the business resources such as workmen, material, transport etc. has been troubled. The movement of the shipping lines carrying the material from the affected countries has also halted and quarantine has been imposed on them.
As a result of all above, I can anticipate a new market or new world post COVID-19 crisis.
Can I request to experts to presents their opinion on this new market post COVID-19 crisis ?
My name is Catarina and I'm looking for some help in Innovation Marketing- Product Innovation.
I'm going to join a project which aims to analyse the consequences of implementation of an improved product in a certain store -emphasis on the fact that this is about incremental innovation, which means improving an already existing product and not developing a new one.
What I need to know is:
- How to perform a statistical analysis on changes in the market after the implementation of this case of innovation marketing, specifically product innovation, in order to assess the consequences of this implementation.
- What methods should I use to conclude what the clients consider to be an innovation?
- What statistical analyzes are usually performed in the evaluation of the implementation of Innovation marketing?
- How to measure the weight of positive / negative aspects?
- What are the stages of this study before implementation (forecast) and after (evaluation)?
All of these in a perspective of statistical analysis.
Also, if there is any documentation on this subject that could be helpful please let me know.
Thank you :
In connection with the use of computerized, automated transaction systems, does the scale of the issue of the psychology of securities markets decrease?
After the launch in 2009 of Oasis of the Seas by Royal Caribbean International, followed in the period 2010-2019 by 4 ships of the same class followed by 2 more ships in the coming years, there were no larger ships: in terms of length or beam or capacity (number of passengers).
I am working on my final thesis where i am trying to identify the potential industries (ex. Manufacturing, Aviation, consumer electronics etc.) for a solution that i have in the automotive maintenance market and i want this solution to enter in the another industry.
so to analyse the potential industry what are the parameters i should consider (ex. Market size, market growth, etc )
it would be really helpful if someone could suggest some papers or research articles or any suggestions.
What do you think are the most important sources of financial and economic crises?
Which sources contributed to the generation of financial and economic crises in the past?
What do you think sources of future economic crises will dominate in the future? What kind of economic crises will dominate in the 21st century?
Please, answer, comments.
I invite you to the discussion.
Dear Friends and Colleagues of RG
The issues of risk management in the context of determinants of the global financial crisis, globalization processes, technological progress and other factors I described in the publications:
I invite you to discussion and cooperation.
I am looking for historical data (from 1980s till today) about the audience market share on the TV markets of the European Union. The data should be using SHR method, the whole population.
Halal certification is becoming more and more important. In the literature, especially research on consumers is intensive. However, it is seen that the researches on the enterprises are limited. Halal certification awareness levels of enterprises with supply mechanisms may have an impact on customers with demand mechanisms. It is useful to specify the relevant factors in this respect.
Does anyone have a copy of the book :Cloud Robotics Technologies, Solutions, Challenges, and Market Opportunities 2018 – 2023
You are a daily user of bicycle, but you are not an amateur cyclist. How much would you like to pay for a new bicycle that needs 1-5% less power and that never suffers misalignements of the chainring? Let's consider data in % of a common mid-range bicycle's price.
I know that in some years SAE Level 5 Autonomous Cars will be sold in the market, but probably just as concept cars. When do you think they will become a competitive solution in the market at affordable price?
Definition: Target costing can be viewed as a proactive cost management tool used to reduce the total cost of the product, over its complete lifecycle, through production, engineering, research and design. It helps the firm in managing the business in reaping profits in the extremely competitive market.
Simply put, target costing is a process of ascertaining and attaining full stream cost, at which the intended product with specific requirements, must be produced so as to realise the desired profits, at an anticipated selling price over a specified period. It involves the discernment of maximum cost to be incurred on a new product, followed by the development of sample that can be profitably created for that target cost figure.
Target Costing and Product Development Phase
Target Costing and Product Development Phase
In this technique, the costs are planned and managed out of the product or process early in the introduction phase like development or designing, instead of performing it in the latter phase of product development.
Target Costing applies to new products and succeeding generations of a product. It begins with understanding the market thoroughly and an intention to satisfy customer needs, concerning product quality, features, timeliness and price.
Target Cost = Anticipated selling price – Desired profit
Target Cost refers to an estimate of product cost reached by deducting a desired profit margin from the competitive market price.
Target Costing Process
Establishment Phase of Target Cost
Establishment Phase of Target Cost
Determine selling price for the new product and estimated output from market analysis and target profit.
Ascertainment of the target cost by deducting the profit from the selling price.
Functional cost analysis for specific components and processes
Decide the estimated product cost.
Make comparison between estimated cost and target cost.
If the estimated cost is greater than the targeted one, then repeat cost analysis, to reduce the estimated cost.
Final decision to be taken, on the introduction of the product, once the estimated cost is on target.
Cost management while production is performed.
Attainment Phase of Target Cost
Attainment Phase of Target Cost
In target costing process, the cost which is directly influenced by it is given priority, which includes material and purchase parts, tooling cost, conversion cost, development expenses and depreciation. Nevertheless, it is a comprehensive cost management technique, so all those cost and assets which are influenced by initial product planning decision are taken into account.
Target Costing Principles
Cross functional teams
Focus on product design and process
Lifecycle cost reduction
Value Chain involvement
Target Costing is all about planning or projecting the cost of a product prior to its introduction, to make sure that products with low margin are not introduced, as they are not able to reap sufficient returns. It is also used for controlling the design specification and production techniques, and encouraging a focus on the customer.
Hi, I am looking for important and contemporary theories related to
Customer Analysis, Competitors Analysis and FTO. I am just looking for contents of these three areas. You can suggest your work. I am very new in this topic so requiring very basic ideas to complex ideas. Regards
We're currently performing a market study on different products. Now we would like to compare those products with products that address a similar market segment and look at differences. I.e. I think a hybrid-electric car is somewhat similar to a rooftop PV installation as both of them address environmentally conscious customers and feature similar investment volumes. However, the customer interaction with the product is completely different. Do you know any literature on such things to back up the reasoning?
All help on this topic highly appreciated.
All the best,
We have developed a technique for revealing electricity market behavior. We need as much as practical data to show the effectiveness of our proposed technique. In this regards, we need data from an electricity market in which congestion is negligible, since our proposed approach does not consider congestion in this stage.
It is intended to apply the proposed technique from the prospective of an electricity market. Any guidance would be highly appreciated.
I'm interested to discuss current market trends related to summer school at the university level. I would appreciate at least one trend from you!
example: This is how interest of summer schools varies worldwide with respect to time. (attached)
Source: Google trend, https://trends.google.com/trends/explore?date=today%205-y&q=summer%20school
I would like to present the proposal to start summer school program at university and as per my research, there is a need. I did study of Market Analysis, Customer Segmentation, Size & Growth of Market, Competitors analysis..etc. and now I would like to know how could I prepare the proof of concept. The one solution is a pilot program but on a piece of paper, how would I illustate the Poc using my research?
I am preparing the presentation for my phd thesis and I would like to add some really concrete motivations to the introduction slides. My thesis focuses on the 3D-growth of III-V semiconductors monolithically grown on silicon. In the first part of my talk I should introduce the defects due to the monolithic growth of III-V on silicon and the different strategies used to filter these defects.
Therefore, I was thinking of starting with a slide of main motivation which will let the audience understand the following problem: defects affect the cost in semiconductors devices, therefore manufacturing companies are wasting money due to this. If we solve this problem we could potentially save this amount of money. However, I want to be more clear than that and give them some actual numbers. How much do defects cost for manufacturing companies ?
Of course, it would be amazing if you could point out some market analysis (qualitative and quantitative analysis), survey papers, etc. Thanks for your help. Ida LUCCI
I am designing the summer school program for university and I'm interested to calculate the market size by either top-down or bottom-up approach. Please give your best rough figures!
Will artificial intelligence combined with the analysis of data collected in Big Data database systems be used in automated forecasting of valuations of securities and other assets on capital markets?
In the background of the plot of the film "Transcendence" from 2014, directed by Wally Pfister, the topic of analysis is analyzed by a computerized system combining artificial intelligence with human consciousness loaded into a computerized system of artificial intelligence connected to Internet resources and using the resources on its own.
This independence also means access to various databases, including internal Big Data database databases belonging to certain corporations, including listed companies that are issuers of securities.
The artificial intelligence connected to the Internet, according to a specific strategy, also independently conducts transactions on the market of valuable securities.
In addition, it establishes statrtsets offering innovative technologies, which in a short time become large capital companies characterized by a high capitalization of exchange quotations of shares of these companies listed on stock exchanges.
The above-presented film "Transcendence" presented above picture of integration of artificial intelligence, human consciousness and Internet resources is a picture of typical science fiction.
However, on the other hand, the function of this image is also to inspire to discuss the potential possibilities of integration of the above-mentioned elements into one system of autonomous and working in the Internet resources artificial intelligence, in addition also containing some human feelings.
The above image from the movie "Transcendence" became an inspiration to formulate the following question below.
The mentioned motif from the movie "Transcendence" looks impressive and convincing in this film mainly because it has a full spectrum of innovation.
The use of new, innovative instruments for forecasting specific economic categories usually works until these innovative instruments continue to be innovative, ie until they are disseminated to the majority of participants in specific markets.
In view of the above, I am asking you to answer the following question: Will artificial intelligence combined with the analysis of data collected in the Big Data database systems be used in automated forecasting of valuations of securities and other assets on capital markets?
Please, answer, comments. I invite you to the discussion.
In some countries where the model of the classical trade sector prevailed, in which there were many small stores, including specialized for specific product and service offerings serving local markets of various customer segments, the emergence of large-scale stores, discount stores, supermarkets and hypermarkets proved to be a threat to existing small local stores.
Many small shops ceased to function. This could have an adverse effect on the local labor market. How is this rated in your countries?
Are the confederations developing the development of small local stores developed? Are these small local stores affiliated, economic chambers are set up to defend this trade segment in your countries?
Do small trade companies and small stores in your countries are threatened by developing large-scale stores through hypermarkets?
Please, answer, comments. I invite you to the discussion.
Hi, now I'm looking for existing literatures to apply Cox Proportional Hazards Model as survival analysis to customer churn predictions in marketing field.
Customer churn prediction is important in terms of Customer Relationship Management (CRM) and can be applied to following fields:
- Continuous service (such as )
- Continuous product (such as mobile apps)
- E-Commerce (such as Amazon, e-bay)
- Retailers (such as supermarket)
Do you have any suggestion?
In an open and globalized economy and considering the financial markets influence, I ask for your collaboration, from a theoretical point of view, to propose economics postulates that can reduce social inequality and give better solutions to complex problems such as sustainable growth and the equitable distribution of wealth. Thank you in advance.
On returning from a visit trip collecting stories and making college class visits at Purdue University and Indiana University regional campuses in northwest Indiana, I have been weighing the state of publishing and whether writers from the "Rust Belt" "Flyover Zone" have a hope of being read outside their local region. This is not only applicable to the United States "Rust Belt" and "Flyover Zone" but analogous zones across the planet.
A key to Thorstein Veblen's theory of "conspicuous consumption" in his study _The Theory of the Leisure Class_ is social emulation. Each narrow band of socially-stratified society looks up to a slightly higher band and embarks on a furious program of "emulation" or mimicking their "betters." And when this is accomplished the active agent moves on to emulate a higher rung. Veblen helpfully supplies comparisons to bird behavior and the rituals of pre-industrial society, such as the Inuit "potlatch" as analogous to the upper-class debutante's "coming out" ball.
LINK to Veblen's text: https://www.gutenberg.org/files/833/833-h/833-h.htm
So, in the United States instance, any editor in New York or on the East Coast will see a less-status-y setting and instantly know "Sorry. This is not for us. Good luck elsewhere." Yes, taste matters. As Veblen writes, "a beautiful article which is not expensive is not accounted as beautiful" ("Theory" 132). With a slight shift, we might add that "a beautiful text not placed in an expensive setting is not beautiful."
What effect upon cognitive development and the mental evolution of creative writers does this process entail? The embodied subject so often enthusiastically dissected in pages of the Modern Language Association journal says little about the bodies and Foucaultian embodiment in the "Flyover Zone" or "Rust Belt," although I have addressed the issue by starting a "Rust Belt Literature" group in the MLA online commons. The same "emulative" avoidance seems to be at work since our new "Rust Belt Literature" MLA group is relatively low-traffic. Seven members at last count. MLA groups for the lesser poets of the Scottish Hebrides of the late 18th Century often boast more members than this.
Some creative writing students have devised work-arounds such as (1) pretending to have lived in Paris or (2) writing in a vacuum where characters walk in a vague setting like dry ice fog in a low-budget film to disguise the less-status-y real setting. These texts show some initiative and focus in CW students. However, perhaps, creative writing classes could find a more accurate name in flyover country such as Evasive Writing? Does Veblen fit?
In which of the 2 demands do low calorie sweeteners like Splenda, Xylitol, Stevia fit?
What type of demand do they have?
Elastic demand or Inelastic?
In analyzing a countrywide product quality assessment what would be the best sampling plan? Does stratified sampling reduce the biases? Is there any apps or tools available to use with GPS and other location data? Would appreciate your contribution.
There are several research articles describing peptide drug market. Unfortunately, until now i haven't found any entirely dedicated to peptide generics market.
Additionally, when i finally found a small reference in one article about peptide generics market, it contraindicated with other article:
In The emergence of peptides in the pharmaceutical business: From exploration to exploitation:
"It is remarkable that generic sales already account for a considerable portion of the peptides’ market. In 2011, generics represented 35% of the peptide market, with three of the five top selling peptides being generics [5,62]."
 Badiani K.Peptides as drugs. Int Pharm Ind 2012;4(2):84–90.
 TMR TMR.Peptide therapeutics market – global industry
analysis, size, share, growth, trends and forecast; 2013
In Peptides Gain Traction in Drug Development
"On a commercial level, several peptide-based therapeutics have reached blockbuster status, defined as having sales of $1 billion or more, or near blockbuster status (3). These drugs, using 2011 global sales figures from company annual financial reports, include:
Teva Pharmaceutical's Copaxone (glatiramer acetate),(...) (2011 global sales of $3.6 billion)
Abbott's Lupron (leuprolide acetate),(...) (2011 global sales of $810 million)
AstraZeneca's Zoladex (goserelin acetate),(...) (2011 global sales of $1.1 billion)
Novartis' Sandostatin (octreotide acetate),(...) (2011 global sales of $1.4 billion)
Eli Lilly/Amylin Pharmaceuticals' Byetta (exenatide)(...) (2011 global sales, Eli Lilly, $423 million, Amylin, $518 million)
Forteo (teriparatide recombinant),(...) (2011 global sales of $951 million)."
I checked it, all of them are originators.
Information that in 2011 about 35% of peptide market was made up by generic drugs is based (in several articles about peptide market) on transparency market search report. Unfortunately i don't have availability (nor money) to check it. Is this report trustworthy?
To sum up:
Does anyone know what is the real contribution of generics to peptide market?
Looking for crossdocking tools for handling operations in warehouse. If any knows please share your view on this. I appreciate your support on this.
I had the opportunity to play it with a group of Latin American professionals in Montevideo in June 2015 and it was a very interesting experience. The Game was idealized by Martim Smolka from Lincoln Institute of Land Policy and Carlos Morales from Erasmus University.
I am writing my master thesis with the topic of long term effect of negative online reviews and positive online reviews on product sales. My focus is to compare the effect of negative online reviews and positive ones and investigate their impact on sales over time. Currently, I have the tablet product reviews database from Amazon.com with time interval of 24 weekly sales data. Besides, I also have another cross-categories database from Amazon.com with only 3 or 4 weeks sales information.
According to previous researches and relevant articles I read so far, the VAR (Vector Auto Regressive) model is quite popular and useful for time series marketing analysis. However, the VAR model usually requires a longer time period. The time interval of the existing database that I use is not sufficient for VAR model.
So, the data is not sufficient for me to continue my research idea if I want to apply VAR model. The process of crawling and obtaining useful database seems quite complicated for me in a short time (limited time with master thesis). I am desperately searching for other solutions for my research idea. Is there any other model that I can apply on this topic?
If I insist to use VAR model with such a short time interval, what should I do with the model? I read an article that maybe I can reduce the number of parameters in the model, e.g maximum 5 parameters in the model.
It will be of great help for me to have some advice. Many many thanks!
Please kindly suggest the best method for economic assessment of certified product and possible sample of questionnares and interview method.
Ranbaxy merger with Sun Pharma captured the market's interests recently. Talks between Pfizer and AstraZeneca over a $100 Billion deal is another one. Is there a new wave of market dynamics or trend happening in this Industry.
I am writing this because for such a deceptively simple problem, I have been unable to construct an example.
Two producers compete in the quantity of some homogenous good produced. They face a common market demand
In such a setting, I wish to show, by means of an example, not a mathematical proof, the existence of multiple Nash Equilibria in pure strategies and continuous payoff spaces.
Can anyone construct a simple Cournot Nash duopoly with equal cost resulting in Multiple Nash Equilibria outcome but positive prices and profits?
I am doing a kind of market analysis about recombinant protein kits. Im searching to determine which problems exist with the different products (ex : Pichia, E. coli, S. cerevisiae or Y. lipolytica kits).
Which improvement do you preconize?
Can you help me please?
Thanks for all your answer!
At this point due to the problems in EU gas supplies (developments between Russia and Ukraine) and the fact that these developments enhance the orientation of EU countries on the increasing security of supply LNG again becomes one of the important factors. Specifically, three gas market (the EU market, North American and Far East) have totally different gas prices. For example, USA gas consumers pay about 25-30% of the EU price and the Far East pay about 9 times higher price than USA customers. American gas exports, after export terminals in the United States become operational, as well as after loosening export controls oil and gas from the time of "oil shock" in 1971), for which the price competitiveness of LNG, to me it would depend on the source of supply and changes in the global oil market and the three regional markets natural gas under the influence of new players in the market LNG. American LNG will be competitive to current suppliers to the EU, Australia have a cost advantage in the markets of the Far East, India, Japan. Some market analysis show that importing LNG from the USA could have a beneficial effect for importing countries in EU and Asia. At the moment, Europe is buying the USA LNG on the old continent's spot markets, where the prices are hovering now in the range of 320-340 USD per 1000 m3 of liquefied natural gas, and the price past summer was even lower, around 240-270 USD.
I am currently working on a paper that requires me to get a measure of cointegration and then find out how some factors between the two integrated market after the measure of cointegration.
Likerts scale is a 5 point scale which evaluates responses better than a dicotomous (Yes / No) answer. These two responses are affected by external locus of control (ELOC) to the decision formulated from the total outcomes of analysing a questionnaire.
UNDECIDED - Particpants on two occassions say this, when
- They do not want to get into problems, by answering this
- They do not really know the answer/
NOT APPLICABLE - Particpants say this, when they are not within the ambit of exposure or expeience to a particular question.
We are attempting to evolve a new scale covering all the aspects and removing the impact of ELOC which otherwise would camouflage the right outcome of a study.
There are different models that are being used to estimate the stock returns under event study methodology such as; arbitrage pricing theory (APT), capital asset pricing model (CAPM), modified market model (MMM) and market model (MM).
My question is which one is better between the market model and CAPM to estimate the return while studying dividend announcements? How will alpha and Beta be estimated under the market model and CAPM in the equation for event study methodology’ i.e Rit = αi + β (market return) + εit?
The extensive literature in behavioral finance made it clear that there are many behavioral factors that influence investors' decision making process, however can somebody kindly tell me how investor behavior can be studied using market volatility, and on what parameters of market volatility can the behaviour be studied?
I'm trying to find a way to do a path distance allocation while giving the input features (health centers) a kind of attractiveness factor.
I did some tests with the MarketAnalysisToolbox (update01262010) but I'm not yet convinced if this is the right tool. It was the only tool I found in this context though.
In the end I would like to have something like a probability surface showing for each point in the raster the probability to visit which health center. Do you know what I mean?
Has any one suggestions how I could reach this? When I take the probability surfaces the marketAnalysisToolbox is generating for each health center, how could I combine them in a way that it would make sense?
PS: I don't have access to the Business Analyst but an advanced student licence for ArcGIS 10.1 Desktop