1. General Information
2. Upload Files
3. Variables of Interest
4. Commodities of Interest
5. Run Simulation

This section allows the user to enter some basic background information which is later displayed and saved in the CSV file of results.

*

Name of country for the price change simulation.

This field is required
*

Local currency used in the country of analysis.

This field is required
*

Year the data used in the simulation was collected.

This field is required
*

Year the simulation was carried out.

This field is required

This section allows you to upload the necessary data for the simulation from the respective directory on your computer. This is typically household expenditure and income survey data. This data file should be a CSV file.

By direct effects, we mean the impact of a price change on household well-being via the consumption of subsidized products. By indirect effects, we mean the impact of a price change on household well-being via the consumption of products that are affected indirectly by the change in price of subsidized products. Below is the detailed description.

The main objective of Indirect effects simulator is to estimate the direct and indirect effects of a price change on household well-being combining a Household Budget Survey (HBS) and Input-Output (I/O) tables for a particular country. Note that the Indirect effect focuses only on the goods that are concerned by the exogenous price shocks. Thus, this version is more appropriate to assess the indirect effect rather than the full direct effect of the subsidy reform. Direct effects are better estimated with Direct effect simulator.

The simulation of indirect effects requires at least one Household Budget Survey (HBS) and an Input-Output (I/O) matrix (file). The I/O matrix required is the output matrix expressed in local currency. It is important that the I/O data and the HBS data are expressed in the same currency, in nominal terms, and for the same year. However, it is difficult to obtain I/O tables and HBS data for the same year, which means that either the HBS or the I/O data or both will need to be adjusted for prices to make data in nominal terms comparable and for the same reference year. This work has to be done by users before using the Indirect tool.

*
     
*
Input file is required
*
I/O Matrix file is required

The box Variables of Interest enables the user to insert key variables such as the per capita expenditures or income, the household size, and the poverty line. The source of these variables is the survey whose year is presented under general information.

*

This is the annual expenditure per capita on both food and non-food expenditure items made by the household expressed in per capita terms. This variable should be prepared in advance.


Total expenditure is required
*

This is the official monetary poverty line used in the country of analysis in the local currency.


Poverty line is required

This is the population weight variable so that inference can be to the entire population in the country of analysis.


Household weight is required

This is from the household dataset been used in the analysis. It is the count variable of the number of household members per household.


Household size is required


*

Two approaches can be used to run the simulation and they include; the marginal approach (linear approximation) or modeling approach (Stone-Geary) .

Enter a Gamma A value, gamma=ax+b.

Enter a Gamma B value, gamma=ax+b.

This step allows users to specify items subject to price changes for simulation(s).

*

This is to select the number of items to consider. The maximum number allowed is 10. If you have more than 10 items, divide them in separate simulations, for example, food subsidies and energy subsidies

Variable
Names* 
Short
Names* 
Q. Unit*  Price
Schedules* 
Initial
Price* 
Subsidy*  Final
Price* 
Elasticity*  Matching I/O Sectors  *
 
Concerned Sector*  Price Change (%)* 
 
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