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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30 views

How to justify the treatment and control groups for Difference-In-Difference with staggered implementation of laws?

A. Background: Dong,2019 and Dasgupta,2019 used the same way to generate the treatment and control groups because they all learn about the impact of the same laws on different dependent variables. I ...
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38 views

Is exogeneity guaranteed for a lottery-generated instrumental variable?

If using $z$ as an instrument for $x$, to study the effect $x$ has on $y$ and given that $z$ was indeed generated through a lottery, is it definite that exogeneity of $z$ will hold? I have looked at ...
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Question on the choice of boundary in the CUSUM test when we make some resampling

Question on the choice of boundary in the CUSUM test when we make some resampling We are considering to make a CUSUM test for some economical time series $𝑋=(𝑥_1,..,x_n)$. Suppose 𝑋 contains many ...
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Quarterly regression, year-fixed effects

I am trying to inspect the heterogeneous effects of a USA-based shock on a panel of countries using quarterly panel data. My variables of interest are the USA-based shock (which has only temporal ...
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1answer
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How I do I reduce loading for a regression model which has more than 16 variables all of which could be theoretically relevant? [closed]

We are running a regression to estimate the effects of board level variables on listing day stock price using this dataset. The output we got has an f=1.32 and numerous insignificant variables. So we ...
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Representations of science in economics [closed]

I would be curious to learn more about how (or whether) economics represents ways that scientific activity influences human behavior, or if science is broadly categorized under the umbrella of ...
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21 views

Gravity Model International Trade [closed]

I estimated the conventional log-linear gravity model of international trade and found that distance coefficient was -1.379 for my dataset i.e. 1% increase in geographical distance reduces the trade ...
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1answer
30 views

How to handle the missing values' issue of newly listed stocks?

I am trying to test some asset pricing models on 10 portfolios for the period of 2010-2020. The problem is that three of these portfolios included stocks that are newly listed in 2017 and 2018, so I ...
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1answer
39 views

Interaction term significant, joint hypothesis not

I am trying to find out if some channel is important in the transmission of shock x1 to outcome variable y. For this, I am running a regression in which y is on the LHS and x1 on the RHS, once alone ...
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SER of Random Walk Model?

Given the following random walk model $\Delta Y_t = Y_t - Y_{t-1}=\beta_0+u_t$, where $u_t \sim N(0,\sigma^2_u)$, how do we derive the standard error $\beta_0$ in terms of the estimated $\sigma^2_u$? ...
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Regression Optimization problem under constraints

To estimate a simple linear regression: $$ y = \beta_0 + \beta_1 x + \epsilon $$ I have the assumptions that a researcher $A$ can only sample individuals with a value $y < y^A$. Similarly, a ...
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58 views

Cross-section experiment with Differences-in-Diffrences estimation [closed]

I am trying to answer the following question related to econometrics: ...
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What is the importance of moving seasonality in seasonal adjustment?

Both Stable and Moving Seasonality are computed in Sliding span test (or D8 F-Stat test) and M7 statistics. But what is the purpose of finding out the presence of moving seasonality in seasonal ...
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Difference-inDifference model with Discontinued Treatment

I have a situation where I observe two groups A and B for three years. Group A never received any treatment. Whereas group B received treatment in year 2 only. I can estimate the impact of the ...
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Stationarity of variables for Local Projections

Should we care about the stationarity of the time series when doing Local Projections? In his website Jorda (the author of Local Projections method) provides a code for doing local projections : https:...
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Nominal Values or Real Value & stationary

I'm going to estimate a time series regression which has consumption as a dependent variable. My data source give it in nominal form and unfortunately there are no other sources. It is Question : Can ...
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Trouble Understanding the Integral Underlying Random Utility Models

Given a utility function, $U_{nj} = V_{nj} + \varepsilon_{nj}$, it makes sense that we can find the probability the decision maker $n$ chooses alternative $i$ as: $$Pr(U_{ni} > U_{nj} \forall j \...
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Local Projections: lags and horizon

I would like to know what to consider when deciding about lag (p) and horizon (h) to estimate impulse responses with local projections. Jorda (2005) and Plagborg-Moller & Wolf (2019) talk about ...
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Other option to compute regions wages in real term in the UK (Urgent!) [duplicate]

Is there any good indicator that can replace region CPI in order to deflate workers income. I have tried to get the data from the ONS in the UK but they only contain the data for England as a whole ...
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1answer
44 views

Annual Data and Heteroscedasticity (Engle's ARCH test)

GARCH models are often applied to financial time series (daily, weekly or monthly stock returns). What about lower frequency such as quarterly and annual time series? This could include macroeconomic ...
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50 views

Since Changes-in-Changes model is good, why do people hardly use it

I am a new master student who has just read Athey and Imbens (2006) "Identification and inference in nonlinear difference‐in‐differences models." They introduced the Changes-in-Changes (CIC) ...
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1answer
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How good is a forecast? (Many outputs)

I have several macroeconomic models (eg two DSGEs and a VAR). They each produce forecasts for GDP, inflation and unemployment, and I have data to test them on, going back years. How can I say which ...
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52 views

Values of A,K,N,a in Cobb-Douglas function expressing GDP

In many basic macroeconomics textbooks a Cobb-Douglas production function with constant returns to scale is used to express the output of the economy as a function of labor and capital: $Y=AK^aN^{1-a}$...
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Question about using elasticities to compare difference rates but with different normalization

Lets say I am estimating a regression of a death rate per 100k people on an economic shock, so: $y = \beta_o + \beta_1 * X+ error$ where the dependent variable is the death rate, and x is the measure ...
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1answer
47 views

How to interpret fixed effects?

I want to interpret the output of a fixed effects regression and need help with interpreting the country-fixed effects. The regression is the following: ...
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1answer
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Does random sampling cause zero conditional mean?

In the lecture notes of my development economics class, it says that " In the regression model : Yi = β0 + β1Xi + ui, if Xi is randomly assigned, then Xi is independent of ui, i.e., E(ui|Xi) = 0, ...
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62 views

Why is it assumed that covariance equal to $0$ or independence between $y$'s in the simple linear regression model?

I have started a book of econometrics and in the first pages are stated the assumption used in the linear regression model, which are : The third one is the one I don't understand, why it has to be ...
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74 views

Deriving First Order Condition of Hansen and Singleton (1982)

Hansen and Singleton (1982) considers the maximization of expected utility, \begin{align*} \max \mathbb{E} \sum_{t=0}^\infty \beta^t U(C_t) \end{align*} with respect to the budget constraint, \...
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Do you know how to compute the IRF of a GARCH (1,1)

We have the following model (GARCH (1,1) ) $y_t=\sigma_t\epsilon_t$ $\sigma_t^2 = \omega + \beta*\sigma_{t-1}^2 + \gamma*y_{t-1}^2$ Note that we can rewrite the latter as: $\sigma_t^2=\frac{\omega}{1-\...
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Econometrics - Panel Data: Relationship between total, within and between

I need to prove the following statement, which is $\hat{\beta}_{total} = W(x)\hat{\beta}_{within} + (I-W(x))\hat{\beta}_{between}$, where $\hat{\beta}_{within}$ is the fixed effect estimator(i.e. the ...
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How to implement VAR analysis and get IRFs for panel data? [closed]

I would like to do multivariate VAR analysis for panel data. I have only used and coded multivariate VAR for time series and the books like Kilian, Lutkepohl discuss mostly time series VAR analysis. ...
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1answer
148 views

Is this an an endogeneity/simultaneity problem?

I would like to know if the logic in these two situations is correct. Situation 1: Let's say we have a continuous dependent variable, $y_1$, that then has a causal impact on an unobserved variable, $\...
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1answer
233 views

Stationarity vs weak dependence

I am doing an undergraduate course in econometrics where we are using the text Introduction to Econometrics by Dougherty. While going through time series, it was mentioned that one of the necessary ...
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Do applied papers introduce new notation for every regression?

I am currently writing an empirical paper which reports on the results from estimating a number of regression models. Question: is it standard to introduce new notation for each of these models, or ...
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1answer
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What's the minimum number of datapoints in order to run a diff-in-diff?

I was thinking about running a diff-in-diff with fixed effect in order to deal with a panel data experiment. The problem is that I don't know how many datapoints I need in order to the experiment be ...
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1answer
51 views

Interacting covariates with the instrument in the first stage

If I want to run a 2 stage least squares (2SLS) regression with: Relationship of interest: $Y = \alpha + \beta X + \varepsilon $, where $X$ is the endogenous explanatory variable of interest. If I ...
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2answers
74 views

How can anyone possibly predict how the price of anything (stocks, Bitcoin, fiat, etc.) will change without “insider knowledge”? [closed]

Other than the fact that all centralized (and thus "quick") exchanges require KYC/AML nonsense, making it impossible for me to have an account there, I've never dared to even try once to &...
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1answer
43 views

Do I have to bootstrap the dummy variables used for event dates in an event study?

I am doing a project where i am trying to estimate the effect of the inclusion of a stock in an ETF on its returns, meaning that i am trying to see how the inclusion of a stock in a given ETF affects ...
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1answer
21 views

is it better a low or high WACC for a company valuation?

I'm doing a statistical report of some italian banks and I'm looking for correlation between Corporate governance practices and bank values. I'm focusing on WACC and I would like to understand if an ...
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29 views

Behavioral responses of tax policy on labour supply ( first time doing Difference in Differences)

I am trying to estimate the causal effects of the The Working Income Tax Benefit (WITB) on the labour supply of married women in Canada. The WITB is essentially equivalent to the EITC. I am looking at ...
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1answer
46 views

Very basic question about confidence intervals

Suppose that I estimate a (frequentist) confidence interval for the sample mean of a variable $X$, say at the 95% level. Suppose I also estimate a 95% confidence for the sample mean of a variable $Y$. ...
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1answer
31 views

Advice on method for analyzing the effects of increase in minimum wage

As a hobbyist and generally curious person with a lot of free time at home, I was curious what would be a good method to analyze the effect of an increase in the minimum wage of a country if you only ...
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1answer
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How to estimate a model by pooled OLS when we DO NOT have panel data?

The data set is mostly binary with years and location. We have a linear probability model. We DO NOT have panel data. How to estimate this model in R by Pooled OLS? Again, we DO NOT have panel data.
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1answer
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Making sure the p-values of my OLS estimates are correct

I have learned the basics of the Classical Linear Regression Model and also various diagnostic tests to check if the assumptions of the CLRM are met, such as homoskedadticity, absence of near perfect ...
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25 views

Comparison of coefficients in log(y_t) and log(y_t/y_0) LHS specifications in LP-IV

I would have a question related to econometrics. Likely not all the details are needed, but please bear with me. My goal is to use local projection with an instrument to find out the response of an ...
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1answer
34 views

Help interpreting standard deviation

I am looking at the 1979 cohort of the National Longitudinal Survey of Youth from the BLS. See here : https://www.bls.gov/nls/nlsy79.htm I am just having some trouble interpreting the values for ...
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1answer
46 views

Why N>T is required on system GMM estimations?

My question is why N>T is required when working with dynamic panel estimations based on system GMM, such as xtdpdsys at stata. Is that based on the potential lost of information due to orthogonal ...
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1answer
121 views

Interpretation of a 2SLS Coefficient - Civil War Determinants

I am a bit confused because of the interpretation of a coefficient in my analysis. I am using 2SLS in two different subsamples with economic growth as endogenous variable. It is instrumented by a ...
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2answers
52 views

Short textbook of econometrics?

I'm looking for a textbook about econometrics, but I'd like to find one with the following features : Short (350 pag. max) Introductory Clear on the math and stats used With exercises Do you know a ...
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1answer
50 views

Why do we need at least as many instrumental variables as endogenous regressors to identify parameters in 2SLS?

As the title says. Why do we need at least as many instrumental variables as endogenous regressors to identify parameters?

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