Estimating the elasticity of taxi demand in Tehran

Method: Dif-in-Dif Regression
Data: 100k online fare transaction data
Code: GitHubCoauthor: Mehdi Sheikh-Zeinodin
Urban policymakers should know the elasticities of each urban vehicle demand to change fare prices by giving subsidies in way maximizing social welfare. In Iran, taxi fare is a mandatory price that is updated every year. this feature can be used as a source of variation for calculating the price elasticity of taxi demand. Therefore, this elasticity is considered a key tool for urban policymakers. In this research, We use the data of Toman co. online fare payment in different taxi lines in Tehran. method of identification is DID regression with the logarithmic specification. Due to the decrease in demand during the holidays and the upward trend in using online payment application, we control the time trend in the regression. we show that a 1% increase in the fare price will decrease taxi demand by 0.14%.

As expected in air-polluted days, There is less traffic in the city (significant Unhlthy coefficient in table-column 6).

Bidder Competition and Winner's Curse in First-Price Common Value Auctions

Method: OLS Regression with Fixed Effect.

Data: 12k state auctions.

Code: GitHub
Coauthor: Mohammad Mehdi Jafari

The auction theory states that in the first price auction for goods with Independent private value(IPV), the increase in the number of bidders increases the competition among the participants and causes more aggressive bids to be registered. As a result, the higher the number of bidders, the higher the price of the winning bid. Experimental studies in this field also confirm this prediction. But, if in the first price auction, the item under auction has a common value(CV), such as oil fields or marketable second-hand goods; Then, due to the existence of the winner's curse, caution requires that the optimal bid strategy be smaller in order to avoid and reduce the CV estimation error. So, the more the number of bidders increases, the stronger the winner's curse will be for the winning bidder. In this research, We use the data of more than 12,000 auctions held by the government's acquired property sale organization. this organization sells smuggled goods, abandoned, and surplus government property. We address the question of what is the effect of the number of bidders on the price of the winning bid. We control the fixed effect of the product type and expert value. The results of the regression indicate that the competitive force prevails over the cautionary force caused by the error of estimating the value of the product. In other words, every 1 person who is added to the auction will increase the price of the winning bid by 5%.

The real-nominal RBC model of household and firm with taxes and government debt

Coauthors: Mehdi Sheikh-Zeinodin & Mohammad Mehdi Jafari

Method: Structural modeling.

In this research, We use an economic model consisting of households, firms, the central bank, and the government to analyze the reaction of this economy to five different shocks. The household supplies labor and capital and has limitations with the cash-on-hand constraint. Government expenditures are spent on running the economy and do not reach the households. The government collects a fixed tax and income tax from the household to provide resources. On the other hand, the government also issues debt securities. The central bank supplies money. part of this money is used to cover the government's budget deficit, and the other part is paid to households in the form of subsidies. Two states of financial dominance of the government and lack of financial dominance are examined. On the other hand, two modes of money growth rate control by the central bank and nominal subsidy amount control are also examined. Different shocks are simulated in Dynare software. According to the simulation, financial dominance causes shocks to the government affecting the household through monetary policy and inflation in addition to the real effect.

Course Projects

Development Economics:

-Reasons for justifying goverment interventions in preschool education

Public Economics:

-Educational and occupational effects of female admission cap in academic education: the case of Iran

Applied Econometrics:

-Investigating factors affecting electricity and gas costs in the household sector ()

-Examining the factors affecting the entry into the labor market and the amount of wages (Code: Github)

Macroeconomics:

-The narration of the contemporary history of Mexico's macroeconomics

Bachelor Thesis

-Forecasting the Dollar-Pound Exchange Rate Using Neural network modeling

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