Questions tagged [econometrics]

Econometrics is the application of statistical methods to economic data for various purposes such as of testing hypotheses, infering causal relationships and forecasting future trends. Only use this tag for questions relating to the theoretical aspect of an econometric technique.

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14 views

Volatility measure in Diebold-Yilmaz connectedness approach

I am trying to create Diebold-Yilmaz connectedness table for returns and volatilities. When I do it for returns everything works properly (I can reproduce their work actually) but for volatilities I ...
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17 views

How to I find some of the most basic US State-level economics (survey) data for each year?

Some of the variables that I am interested are the state-level GDP, population, income, saving, consumer spending, employment, investment, industry share, RD investment, etc. I've tried the US census ...
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57 views

Covariance between regression coefficient and residual

Given regression equation Y=Xβ + ε which satisfies all classical assumptions including those of homoscadasticity Estimated regression equation using OLS is the following - Y=Xb + e Where, b is ...
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25 views

How to run Panel data analysis when data on the dependent variable is on a 5 year interval basis and that on independent variable is on yearly basis?

I am reading a paper which empirically tests if primary exports affect education attainment in LAC countries over the period 1965 to 2010. It uses percentage of secondary school enrollment as ...
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27 views

What are the statistical tests I need to perform before I regress GDP on multiple variables?

I'm using data over 10 countries for the period 1975 to 2010. My objective is to check if the chosen regressors have significant effect on GDP. I have very basic knowledge of econometrics which I ...
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10 views

what is the methods to check the impact of regulation on gender pay gap

i have a data for for the top 5 manager of 100 companies from 2010-2018 and i want to check the impact of a regulation that limits the max salary of managers in the financial sector on the gender pay ...
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2answers
54 views

regression method for data that contain a number of observation for several years

I have a data set about 125 companies. For each company I have the salary and some other variables about the top 5 managers in each company. One observation contains the top 5 managers in each one of ...
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1answer
69 views

Mathematical framework for modelling the relationship between price and sales of a product

In my job as a data scientist, I am required to model the relationship between the price of a product and the sales or number of unit sold. I am trying to build a simplistic model, the assumptions of ...
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17 views

The Econometrics of Pay-To-Play In Youth Sports

Question: Are there any econometric theories that are applicable in studying what is commonly referred to as Pay-To-Play, in the world of youth sports. I want to preface by stating that I am not an ...
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26 views

Should I care about stationarity when dealing with cyclical components?

I have downloaded time series data from the IMF-IFS website for 31 different countries. The time series are about GDP, constant prices, national currency (yearly); lending interest rate (monthly); ...
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43 views

Rate of convergence and asymptotic dominance in $\Vert x \Vert \gg \Vert(\hat\beta-\beta)\cdot u\Vert $

Let $\Vert A \Vert$ denote the spectral norm of a random matrix. Let $x$ and $u_k$ be N$\times$T matrices. Denote $\beta \cdot u = \sum_{k=1}^K\beta_ku_k $, where $\beta$ is a K-vector and $\beta_k$ a ...
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8 views

Components of matching estimator for ATT

Blundell and Costa Dias (2000) (https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1475-5890.2000.tb00031.x) present in page 448 a generic matching estimator for the average treatment effect on the ...
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48 views

Should I include lags in an LLC unit root test?

I have panel data (N = 10, T = 20), which I intend to run a series of regressions on. I first want to see if my data are stationary in levels or in differences. To do this, I have been performing ...
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40 views

Minimum observations for an econometric SEM

Good day for all: I have an econometric SEM with three equations similar to: $$ A = \beta_0 + \beta_1 B + \beta_2 G + \beta_3 H + u_1 \\ B = \beta_4 + \beta_5 C_{-1} + \beta_6 D_{-1} + \beta_7 E_{-1}...
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9 views

Relation between variation of the drift and insurance fee?

what is the relation between insurance fee and the variation of the drift of the underlying asset? I've created a simulation code, and changing those two values does not change the result. As I assume ...
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1answer
100 views

Regarding some econometric problems

How do I know the specification in (3.2) is a chi-square distribution with df k-1? and why is it the case that the asymptotic variance of $\hat{\beta}_{FD}- \hat{\beta}_{OLS}$ is simply the ...
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50 views

Immigration supply shocks, fixed effects and model interpretation

I'm new to this and I've been racking my brains for a couple days trying to understand this model and how to run it in Stata. More than programming help, I think I just don't understand the model well ...
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23 views

Using Propensity Score Matching to evaluate non randomized and fully implemented village fund program

So i want to make a research about the impact of this program to community empowerment and infrastructure in villages. But the problem is the program itself (at the first year) implemented to almost ...
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31 views

Stationarity of log industrial index and log CPI

I'm looking to estimate a VAR, one of the variables in this VAR is the log of industrial production, and another is the log of the consumer price index. Will I need to difference these to get ...
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22 views

If all of LATE (Local Average Treatment Effect) assumptions is satisfied?

I would like to know intuitive and specific interpretation of LATE. If all the assumptions for LATE is satisfied, we can say that the Instrument Variable (IV) has an effect to estimate X on Y. Also, ...
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30 views

instrumental variables

I have a question related to IV methods. Suppose I have a regression $Y = a + b_1 X_1 + b_2 X_2 + \epsilon$, where $Y$ is a dependent variable and $X_1$ is an endogenous independent variable and $...
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20 views

Can I draw a smaller sample from one treatment group?

in an RCT, I have 3 different treatment groups and one control group. The size of the control group is around 1000 while the size of other groups are just above 300. To test balance I used ANOVA and ...
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14 views

covariance of autocorrelated time series

When we calculate the variance of a time series with autocorrelation, we need to do some shrinkage to get the correct value. What about say we have two time series, X, Y. both have autocorrelations. ...
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11 views

Multiple regulatory changes at the cutoff

Consider a running variable $a$, and a cutoff $a_0$. There are two regulatory variables, $x$ and $z$. Both variables jump around $a_0$, in the sense of fuzzy regression discontinuity design (RDD) ...
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43 views

How to do test statistic on difference in two independent variables?

If i have time series regression $R_{i,t} = \alpha + \beta x_1 + \gamma x_2 + \delta x_3 + \varepsilon_i$ In this case, how can I conduct test statistic of $\beta - \gamma$? Is it to use unpaired two ...
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44 views

Estimation of a Non-linear production function with Non-linear least squares

Suppose that you have to estimate a Non-linear production function (for instance a Cobb-Douglas or a CES) by using Non-linear LS (and hence without log-linearization). You have just aggregate time ...
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93 views

Asymptotic variance under heteroskedasticity

I want to find an expression for the asymptotic variance of the OLS estimator given that the errors are heteroskedastic. I have understood the derivation using CLT for the homoskedastic case. I.e., $...
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46 views

AR(p) with white noise error term — always covariance stationary?

Is it always true that an AR(p) process with a white noise error will be covariance stationary?
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1answer
3k views

Quarterly GDP growth terminology: YoY vs QoQ

Quarterly GDP growth can be calculated either in terms of YoY change or — in the case of seasonally adjusted data — in terms of QoQ change. (A third option would be to annualize the QoQ rate.) To ...
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1answer
60 views

Categorical variable as explanatory variable (right hand side)

In a linear probability model, or any sort of regression, one can use fixed effect estimation by simply adding in a STATA code i.something. This "something" can be either a village, a county or a ...
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26 views

Vector Autoregression - Resource request

I am looking for resources that give a self-contained introduction to vector autoregression. To be a bit more specific, I am interested in VAR models and their application to isolating and ...
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26 views

Multi-way clustering

I want to understand when and why multi-way clustering is necessary. Could anyone give a good example that provides intuition of when and why to use multi-way clustering that also illustrates why ...
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97 views

Interpretation of Incidence Rate Ratio for a Poisson Regression With a Non-Binomial Dependent Variable

Well, the name pretty much says it all. I have searched high and low, but I cannot find a concrete answer to the following question(s): How would one interpret the incidence rate ratio for a poisson ...
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260 views

Advice on upper and lower hemicontinuity?

Consider the correspondence f: $\mathbb{R}$ -> $\mathbb{R}$ defined by: f(a) = {x $\in$ $\mathbb{R}$:x2 + x $\leq$ a2} for all a $\in$ $\mathbb{R}$. Find the points where the correspondence is uhc ...
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166 views

Data Reduction using Principal Component Analysis

I have performed PCA over a data set containing 25 items (variables). PCA was performed in a view to reduce the number of items (variables) from the data set, so as to move forward with analysis. ...
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1answer
44 views

MLE estimation with serially correlated errors

I want to estimate the parameters of $a_t = a_{t-1}+\theta+\epsilon_t$ using MLE. Assume errors $\epsilon_t$ are serially correlated, then how would I choose the likelihood function?
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9 views

How to find variance of a white noise process?

I have a deterministic trend with a white noise process: $y_t = a + Bt + u_t$ How would I prove that the variance is just the variance of the error term?
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1answer
39 views

Finding an instrumental variable for unemployment

I have the following regression model: Marijuana Usei = β0 + β1Unemployedi + β2Personal Incomei + β3Educational Attainmenti+ β4Sexi + β5Agei + β6Racei + εi The model is a probit model I need to ...
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1answer
57 views

Derive the asymptotic distribution

Let $x_1, ..., x_n$ and $y_1, ..., y_n$ be two independent random samples from $X$ and $Y$. We have $µ_X = E (X ) > 0, µ_Y = E (Y ) > 0$ and $σ^2_X = Var (X )$ and $σ^2_Y = Var (Y )$. Derive ...
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62 views

How to derive the asymptotic variance from the sampling distribution of the OLS estimator?

The asymptotic sampling distribution, after taking plim, of the OLS estimator is given by $\sqrt{N}(\hat{\beta}-\beta) = E[X_iX_i^T]^{-1} \left(1/\sqrt{N} \sum_{I=1}^NX_ie_i \right) $ It must be ...
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1answer
103 views

Stochastic process difference equation: stationary distribution

How can I find the stationary distribution (as t goes to infinity) of stochastic difference equations in the form: $x_{t+1} = a*x_t + b*N(0,1)$ where N(0,1) is a standard normal pdf I have ...
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1answer
49 views

Including variable with causation problem for estimating from LISS

I am using panel data from the LISS to estimate the effect of whether a person practices sport or not on appreciation of leisure time (scale 0-10). My partner insists on using a variable that ...
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1answer
234 views

Price Optimization from Data

How can I find the optimal price that maximizes profits, given past sales data? I thought I could do this, but I've been running into problems. Data: ...

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