# 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.

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17 views

### Interpretation of dummy variable : Random Effects Model

I am running a RE regression and I have export similarity index between two countries as the dependent variable and have a dummy variable such as share a border(=1 if countries share border, 0 ...
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### Detecting Multicolinearity

Are high R square and low t-stats a signal for multicollinearity? What is the nature of this problem and correction? Also, how do you generally decide if the problem is high enough to be corrected?
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### Diff in diff on model generated data

I have a structural model calibrated to N different locations and am running a series of counterfactual experiments. When I present the results for each experiment for each of N locations in tables, ...
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### Are CPI stats weighed based on population size

Generally inflation and CPI are reported on a national level. If a country for example has 10 cities, after surveying prices in each individual city, how is the total CPI number determined for the ...
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### Correlation between perfect strategy and market

What is the correlation between a perfect market-timing strategy (it always goes short/long one unit the day before the market goes down/up) and the market itself, assuming the market has a symmetric ...
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### Data Set Request Wage and Factors Effecting Wage ( Education, Disability e.tc.)

I am looking to an Econometrics study. Where can I get wage data and factors affecting wage for the United States state by state?
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### Dimensional analysis of GDP

The GDP is sometimes given by $$GDP=P\cdot h\cdot e \cdot F$$ Where $P$ is the Productivity, $h$ is the number of hours worked, $e$ is the employment rate and $F$ is the size of the labor force. ...
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### How do I run a regression with the restriction that one set of parameters are proportional to another?

I'm running a regression with a set of 3 dummy variables (for four categories of a variable) and these 3 dummies interacted with a continuous variable. I want to impose the restriction that the vector ...
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### How to use an instrumental variable to estimate the parameter?

I have the following linear model of log wages (w) explained using years of schooling (S), years of experience and its square $(E,E^2)$ and 3 dummy variables indicating whether the individual was ...
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### ragged edge concept

I'm confused by the concept of the ragged edge in real-time data analyses. I understand that data for $x_t$ comes in various forms: a first estimate, a series of additional estimates and, after some ...
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### Linear Probability Model Instead of Logit in Fixed Effects Regression

In our panel data analysis we estimated a fixed effects linear probability model (LPM) instead of a fixed effects logit regression because our sample size was quite small (600 individuals) and the ...
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### Does income equality correlate with less fraud?

If a population of people have less disparate income levels among themselves, are we able to predict anything about the level of phone scams, phishing emails, etc. perpetrated by members of that ...
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### How to show that the estimator is consistent?

$Y_i=\beta_0+\beta_1X_i+U_i$ is my regression model for an I.I.D. sample with N=1000 observations. Suppose $U_i\sim I.I.D.(0,\sigma^2)$ and Xi are also I.I.D for i=1,2,3......1000. Xi is independent ...
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### Difference between no perfect multicollinearity and no multicollinearity

Some textbooks (for example, Introductory Econometrics: A Modern Approach by Jeffrey Wooldridge) assume that no perfect multicollinearity for the OLS regression, while others (for example, ...
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### How to test if the effect of one regressor entirely comes from other regressors?

I have a regression model that includes IQ test scores as the dependent variable; my own education, my father's education and my mother's education as independent variables. Suppose I want to know ...
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### 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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### Uniqueness of OLS estimates

Wooldrige says that ‘intuitively, to estimate k+1 parameters, we need at least k+1 observations’. Why is this the case?
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### Does it matter which is the dependent variable in regression of time series data?

I am testing for cointegration between the Real GDP per capita of England and France. I use a Dickey-Fuller test to test for stationarity and concluded that both of my series are non-stationary. So I ...
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### Regression design, difference in differences

I plan to look at the regional differences of a policy effect. I would like to use the difference in differences approach however I am not sure how to assign a control group. I have data for time ...
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### calculate magnitude of a recession

I'm doing an exercise from Blanchard Macroeconomics where I'm, apart from other things, asked to calculate the severity of recessions in the US since 1960. The data on the webpage that's referenced is ...
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### Perfect multicollinearity when estimating a gravity model

everyone! I am estimating a gravity model in order to analyze the impacts of tighter environmental regulations on international trade. More specifically, I am analyzing Brazil's trade flow. My (...
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### Analyse the influence of interior demand and trade on exports

I would like to have a primer on how the current slowdown of the German economy is affecting its partners, for instance France, Spain and Italy. More specifically, if it goes mainly through Germany's ...
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### Running a regression to avoid multicollinearity

I have the following regression (pooled OLS; panel data): Y Treated Shock Shock*Treated {with industry and year fixed effects} Y is a continuous variable, “...
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### Where can I find an endogeneity proof for bias by LLN?

It is intuitive that E[xe] is non-zero but the result E[xe]=sigma(x)*sigma(e)*corr(xe) seems odd. Please help point me in the right direction.
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### 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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### 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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### How to calculate the risk-free rate of cryptocurrencies?

For a conference I need to show the Sharpe ratio's of bitcoin portfolios using different trading strategies. To calculate the Sharpe ratio, I need the Bitcoin's risk-free rate. Risk-free rate for ...
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### 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 ...