# Questions tagged [applied-econometrics]

Use this tag to discuss empirical papers and issues arising when applying theoretical models to data.

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### Show that conditional variance of error in linear probability model is heteroskedastic?

I have a problem that asks me the following: " Consider the linear probability model, in which we specify the regression equation to be linear in X, E(Y |X = x) = Pr(Y = 1|X = x) = x'β We can ...
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### Rule of thumb for confidence level

Typically in statistical software, the default confidence level is 95%. The higher the better, I suppose. But this is still not a rule of thumb, right? In Stock and Watson's paper (https://www.aeaweb....
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### Substitute a continuos variable with a categorical one in Linear regression

I am pretty new to econometrics, and I am thinking about substituting a continuous variable (say assets for a company) with a categorical one containing a number based on which quintile the continuos ...
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### Which econometric test applied here?

I have been reading an article about the Phillips Curve. But I got stuck in a part of econometric analysis. I am not good at econometric. Therefore I need help here. In this link you can read the ...
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### How were unit labor costs estimated by Gali and Gertler (1999)?

I am trying to estimate a NKPC like the one Gali & Gerter, 1999 and Gali &Gerter, 2001 estimated. I am having trouble with understangind how they calculated the marginal cost, i.e., which time ...
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### Impact evaluation of a policy when different individuals adopt the policy at different times

Let there be a policy $T$ which can either be implemented or not implemented by an organisation. Suppose there are $n$ organisations and the outcome variable $Y$. The policy is not centrally imposed- ...
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### What does it mean if the controls in my IV model are correlated with my instrument?

I am seeking to understand what it means for my 2SLS IV model if my controls are correlated with my instrument (such that when I add additional controls to my model that are positively correlated with ...
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### Random Effects Model with Only Time-variant Independent variable

I'm trying to estimate a panel with random effects where the dependent variable depends on time and id; and the independent variable depends only on id. However, the results that I'm getting are ...
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### Dummy Variables in Panel data

I am building a regression model on some panel data of sales and I am rather new to econometrics. I was thinking of introducing some indipendent variables built as Dummy1*Dummy2 . Is this new ...
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### How do I test if a given policy was successful?

I have some data for medical R&D and sales, my professor has asked me to check if a policy implemented in 2016 has made any effects on R&D and R&D/Sales data. I tried to plot growth rates ...
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### law of diminishing marginal returns and regression on the factors of production

Does it make any sense to create an equation with Profit ~ Production factor1 + Production factor1 ^ 2 + Production factor2 + Production factor2 ^ 2 to explain how much the increase of 1 in a company'...
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### Recovering information on Prices from Expenditure data

this is more of a "Research Based" Question where the answer may be open ended and really am wondering from all the experts here. Feel free to hammer me on this as I'm not 100% confident, my data work ...
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### Dif in Dif on countries, is it necessary to cluster by country?

I have a question regarding Dif-in-Dif (DD) studies. If I want to compare a policy that is implemented differently in three different countries - thus three different treatment groups - using a DD ...
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### Estimating a difference-in-differences with multiple time periods: why do margins results change when you simply change the base period?

My understanding of margins results is that they should not be sensitive to the base period chosen for a categorical time variable. However, I find that they are. ...
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### Cagan Model of Hyper Inflation: Zimbabwe Data Request

Cagan Model of Hyperinflation Could anyone guide me where I could find the data for Zimbabwe that would allow me to estimate the Beta parameters. Also, what regression method would be most suitable (...
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### Applying Econometrics to Monetary Economics

I've been given a problem in which I am told that GDP is a function of the supply of money, prices and demand, $$Y = (M/P)^\delta$$ Taking logs, $$\log(Y) = \alpha + \beta \log(m - p) +u$$ ...
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### If I want to add fixed effects for a difference-in-differences analysis, do I have to do a Hausman test first?

For my diff-in-diff specification, which is looking at whether a certain environmental regulation has an effect on exported goods, I was thinking of adding industry fixed effects to my equation. ...
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### 2x2 Factorial Design - Sample Allocation based on Variance Minimization

In the following I will first explain the problem and derive some solutions needed for the actual question. The actual question can be found approx. at the end of this post in bold. I have a 2x2 ...
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### Within-Cluster Correlation

I figured this would be more appropriate on this forum. I came across the following slides after a Google search of cluster-robust uncertainty estimators. On slide 10 the author attempts to ...
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### How to determine price per unit and quantity sold of product from financial statement

Situation I hope I'm asking in the right place. I'm writing a paper on the application of quadratic functions in economics and intend to use the Total Revenue function as well as the Profit function ...
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### Forecasting integrated variables in a macroeconomic setting

I am trying to measure the effects of restrictions on immigration to a specific country on both real estate rental indices and real estate property price indices during the next 3 to 5 years. As a ...
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### comparison of micro production functions

There are many different production function estimation methods, relevant for micro and firm data. For example Olley-Pakes, Levinsohn-Petrin, Ackerberg et al., Wooldridge etc. But does anyone know of ...
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### Identification strategy for measuring impact of employee turnover on project quality

I am seeking help with identification strategy for figuring out causal direction in the following context: There is a company where project managers (PM) rotate every 3-7 years across the country/...
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### What is the optimal forecast for the following moving average model?

Suppose that we have an MA(1) model where $y_t=\epsilon_t-\frac 1 2 \epsilon_{t-1}$ and $\epsilon_t$ are i.i.d. I want to find an optimal forecast of $y_{T+1}$ in the form of $Cy_T$ where C is a ...
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### How does one deal with trending variables in Linear Regression?

I have a linear regression model with two independent variables that takes the form: $$y_{it} = \beta_{0} + \beta_{1}x_{it} + \beta_{2}z_{it} + u_{it}$$ where $u_{it}$ is the error structure. I want ...
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### Cointegration but no Granger causality

Suppose I have two variables - $y_t$ and $x_t$ - which are cointegrated. I believe that (i) $y_t$ responds to deviations from the long-run equilibrium, (ii) the long-run elasticity of $y_t$ with ...
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### Annual Fraud Recovery Over Time: Should I adjust for inflation?

I have a dataset of the total amount the U.S. Department of Justice obtained annually in settlements/judgments of government fraud cases from fiscal years 1988-2019. There's a lot of variation, but ...
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### Where to find a list of U.S. policy changes for causal studies?

I'm currently trying to figure how the topic of my paper, which is supposed to be related to policy evaluation (causal inference). I thought it would be great if I could first obtain a list of recent ...
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### Questions about the future of macroeconomic modeling and the role of simultaneous equation systems

I started to study about macroeconomic modeling and I am interested in the following questions. I understand that there are no definite answers to these questions. But I am interested in the opinion ...
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### Can you take the moving average of quarterly data of an explanatory variable in a regression to smoothen noise and get more accurate coefficients?

I'm trying to use acceleration of quarterly data on household debt (the difference in the difference in debt) in a regression on unemployment (only concerned with correlation) but quarterly data is ...
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### Evaluating the impact of US federal grants

There are a number of challenges with evaluating the impact/effectiveness of federal grants in the U.S. In particular, it's easy to obtain a (somewhat comprehensive) record of transactions between ...